comparison of four nuclear isolation buffers for plant dna flow cytometry

11
TECHNICAL ARTICLE Comparison of Four Nuclear Isolation Buffers for Plant DNA Flow Cytometry JOA ˜ O LOUREIRO 1, *, ELEAZAR RODRIGUEZ 1 , JAROSLAV DOLEZ ˇ EL 2 and CONCEI ¸ CA ˜ O SANTOS 1 1 Laboratory of Biotechnology and Cytomics, Department of Biology, University of Aveiro, Campus Universita ´rio de Santiago, 3810-193 Aveiro, Portugal and 2 Laboratory of Molecular Cytogenetics and Cytometry, Institute of Experimental Botany, Sokolovska ´, Olomouc, CZ-77200, Czech Republic Received: 15 March 2006 Returned for revision: 24 April 2006 Accepted: 22 May 2006 Published electronically: 4 July 2006 Background and Aims DNA flow cytometry requires preparation of suspensions of intact nuclei, which are stained using a DNA-specific fluorochrome prior to analysis. Various buffer formulas were developed to preserve nuclear integrity, protect DNA from degradation and facilitate its stoichiometric staining. Although nuclear isolation buffers differ considerably in chemical composition, no systematic comparison of their performance has been made until now. This knowledge is required to select the appropriate buffer for a given species and tissue. Methods Four common lysis buffers (Galbraith’s, LB01, Otto’s and Tris.MgCl 2 ) were used to prepare samples from leaf tissues of seven plant species (Sedum burrito, Oxalis pes-caprae, Lycopersicon esculentum, Celtis australis, Pisum sativum, Festuca rothmaleri and Vicia faba). The species were selected to cover a wide range of genome sizes (130–2690 pg per 2C DNA) and a variety of leaf tissue types. The following parameters were assessed: forward (FS) and side (SS) light scatters, fluorescence of propidium iodide-stained nuclei, coefficient of variation of DNA peaks, presence of debris background and the number of nuclei released from sample tissue. The experiments were performed independently by two operators and repeated on three different days. Key Results Clear differences among buffers were observed. With the exception of O. pes-caprae, any buffer provided acceptable results for all species. LB01 and Otto’s were generally the best buffers, with Otto’s buffer providing better results in species with low DNA content. Galbraith’s buffer led to satisfactory results and Tris.MgCl 2 was generally the worst, although it yielded the best histograms in C. australis. A combined analysis of FS and SS provided a ‘fingerprint’ for each buffer. The variation between days was more significant than the variation between operators. Conclusions Each lysis buffer tested responded to a specific problem differently and none of the buffers worked best with all species. These results expand our knowledge on nuclear isolation buffers and will facilitate selection of the most appropriate buffer depending on species, tissue type and the presence of cytosolic compounds interfering with DNA staining. Key words: Angiosperms, flow cytometry, genome size, lysis buffers, nuclear DNA content, nuclear isolation buffers, propidium iodide, stoichiometric error. INTRODUCTION Flow cytometry (FCM) was developed in the 1950s but its application to plant sciences was delayed until the late 1980s when it became an important technique for estima- tion of nuclear DNA content, determination of DNA ploidy level and cell cycle analysis (Galbraith, 2004; Shapiro, 2004; Bennett and Leitch, 2005). This delay was mainly due to problems with the preparation of suspensions of intact nuclei from thick tissues consisting of cells with a rigid cell wall. In his pioneering work, Heller (1973) used hydrolytic enzymes to digest cell walls and release nuclei from fixed tissues. The method was time consuming and rarely followed by others. Among later investigators, Ulrich and Ulrich (1986), Ulrich et al. (1988) and Bergounioux et al. (1988, 1992) employed a modified approach in which cell nuclei were released after hypotonic lysis of intact protoplasts. In addition to being time consuming, the need for intact protoplasts limited the application of this protocol to some species and certain types of tissues. As an alternative, Galbraith et al. (1983) developed a rapid and convenient method for isolation of plant nuclei by chopping plant tissues in a lysis buffer. Since then, this has been the main and most reliable method for nuclear isolation in plant FCM. In addition to releasing nuclei from intact cells, lysis buffers must ensure the stability of nuclei throughout the experiment, protect DNA from degradation and facilitate stoichiometric staining. Since the late 1980s, some labora- tories have developed their own buffer formulas. As a result, about 25 different lysis buffers are known, although only eight are commonly used. Their chemical composition varies, but it usually includes chromatin stabilizers (e.g. MgCl 2 , MgSO 4 , spermine); chelator agents [e.g. ethylenediaminetetraacetic acid (EDTA), sodium citrate] to bind divalent cations, which serve as nuclease cofactors; inorganic salts (e.g. KCl, NaCl) to achieve proper ionic strength; organic buffers [e.g. 3-(N-morpholino) propanesulfonic acid (MOPS), Tris- (hydroxymethyl)-aminomethane (Tris) and 4-(hydroxy- methyl)piperazine-1-ethanesulfonic acid (HEPES)] to stabilize the pH of the solution (usually set between 70 and 80); and non-ionic detergents (e.g. Triton X-100, Tween 20) to release nuclei, disrupt chloroplasts as fluorescent entities, remove and hinder cytoplasmatic * For correspondence. E-mail [email protected] Annals of Botany 98: 679–689, 2006 doi:10.1093/aob/mcl141, available online at www.aob.oxfordjournals.org Ó The Author 2006. Published by Oxford University Press on behalf of the Annals of Botany Company. All rights reserved. For Permissions, please email: [email protected]

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TECHNICAL ARTICLE

Comparison of Four Nuclear Isolation Buffers for Plant DNA Flow Cytometry

JOAO LOUREIRO 1 ELEAZAR RODRIGUEZ 1 JAROSLAV DOLEZEL2 and

CONCEICAO SANTOS1

1Laboratory of Biotechnology and Cytomics Department of Biology University of Aveiro Campus Universitario

de Santiago 3810-193 Aveiro Portugal and 2Laboratory of Molecular Cytogenetics and Cytometry Institute of

Experimental Botany Sokolovska Olomouc CZ-77200 Czech Republic

Received 15 March 2006 Returned for revision 24 April 2006 Accepted 22 May 2006 Published electronically 4 July 2006

Background and Aims DNA flow cytometry requires preparation of suspensions of intact nuclei which are stainedusing a DNA-specific fluorochrome prior to analysis Various buffer formulas were developed to preserve nuclearintegrity protect DNA from degradation and facilitate its stoichiometric staining Although nuclear isolation buffersdiffer considerably in chemical composition no systematic comparison of their performance has been made untilnow This knowledge is required to select the appropriate buffer for a given species and tissue Methods Four common lysis buffers (Galbraithrsquos LB01 Ottorsquos and TrisMgCl2) were used to prepare samplesfrom leaf tissues of seven plant species (Sedum burrito Oxalis pes-caprae Lycopersicon esculentum Celtisaustralis Pisum sativum Festuca rothmaleri and Vicia faba) The species were selected to cover a wide rangeof genome sizes (130ndash2690 pg per 2C DNA) and a variety of leaf tissue types The following parameters wereassessed forward (FS) and side (SS) light scatters fluorescence of propidium iodide-stained nuclei coefficientof variation of DNA peaks presence of debris background and the number of nuclei released from sample tissue Theexperiments were performed independently by two operators and repeated on three different days Key Results Clear differences among buffers were observed With the exception of O pes-caprae any bufferprovided acceptable results for all species LB01 and Ottorsquos were generally the best buffers with Ottorsquos bufferproviding better results in species with low DNA content Galbraithrsquos buffer led to satisfactory results andTrisMgCl2 was generally the worst although it yielded the best histograms in C australis A combined analysisof FS and SS provided a lsquofingerprintrsquo for each buffer The variation between days was more significant than thevariation between operators Conclusions Each lysis buffer tested responded to a specific problem differently and none of the buffers workedbest with all species These results expand our knowledge on nuclear isolation buffers and will facilitate selection ofthe most appropriate buffer depending on species tissue type and the presence of cytosolic compounds interferingwith DNA staining

Key words Angiosperms flow cytometry genome size lysis buffers nuclear DNA content nuclear isolation bufferspropidium iodide stoichiometric error

INTRODUCTION

Flow cytometry (FCM) was developed in the 1950s but itsapplication to plant sciences was delayed until the late1980s when it became an important technique for estima-tion of nuclear DNA content determination of DNAploidy level and cell cycle analysis (Galbraith 2004Shapiro 2004 Bennett and Leitch 2005) This delay wasmainly due to problems with the preparation ofsuspensions of intact nuclei from thick tissues consistingof cells with a rigid cell wall In his pioneering workHeller (1973) used hydrolytic enzymes to digest cell wallsand release nuclei from fixed tissues The method wastime consuming and rarely followed by others Amonglater investigators Ulrich and Ulrich (1986) Ulrich et al(1988) and Bergounioux et al (1988 1992) employed amodified approach in which cell nuclei were released afterhypotonic lysis of intact protoplasts In addition to beingtime consuming the need for intact protoplasts limited theapplication of this protocol to some species and certaintypes of tissues As an alternative Galbraith et al (1983)developed a rapid and convenient method for isolation of

plant nuclei by chopping plant tissues in a lysis bufferSince then this has been the main and most reliablemethod for nuclear isolation in plant FCM

In addition to releasing nuclei from intact cells lysisbuffers must ensure the stability of nuclei throughout theexperiment protect DNA from degradation and facilitatestoichiometric staining Since the late 1980s some labora-tories have developed their own buffer formulas Asa result about 25 different lysis buffers are knownalthough only eight are commonly used Their chemicalcomposition varies but it usually includes chromatinstabilizers (eg MgCl2 MgSO4 spermine) chelatoragents [eg ethylenediaminetetraacetic acid (EDTA)sodium citrate] to bind divalent cations which serveas nuclease cofactors inorganic salts (eg KCl NaCl)to achieve proper ionic strength organic buffers [eg3-(N-morpholino) propanesulfonic acid (MOPS) Tris-(hydroxymethyl)-aminomethane (Tris) and 4-(hydroxy-methyl)piperazine-1-ethanesulfonic acid (HEPES)] tostabilize the pH of the solution (usually set between 70and 80) and non-ionic detergents (eg Triton X-100Tween 20) to release nuclei disrupt chloroplasts asfluorescent entities remove and hinder cytoplasmatic

For correspondence E-mail jloureirobiouapt

Annals of Botany 98 679ndash689 2006

doi101093aobmcl141 available online at wwwaoboxfordjournalsorg

The Author 2006 Published by Oxford University Press on behalf of the Annals of Botany Company All rights reserved

For Permissions please email journalspermissionsoxfordjournalsorg

remnants from nuclei surface and decrease the aggrega-tion affinity of nuclei and debris (Coba de la Pena andBrown 2001 Dolezel and Bartos 2005)

Given the different chemical composition and diversityof plant tissues it may be expected that each buffer wouldperform differently This problem was exacerbated by therecent observation of the presence of cytosolic compoundsthat are released during nuclei isolation These compoundsinteract with nuclear DNA andor the fluorochromeaffecting sample quality and causing stoichiometric errorsin DNA staining (Noirot et al 2000 2003 Pinto et al2004 Loureiro et al 2006 Walker et al 2006) Loureiroet al (2006) observed that nuclei of Pisum sativum andZea mays responded differently to tannic acid a commonphenolic compound in plants when isolated in differentnuclear isolation buffers However no systematic com-parison of lysis buffers has been made until now

We set out to compare four of the most commonbuffers that differ in chemical composition Galbraithrsquosbuffer (Galbraith et al 1983) LB01 (Dolezel et al1989) Ottorsquos buffer (Otto 1992 Dolezel and Gohde1995) and TrisMgCl2 (Pfosser et al 1995) We evaluatedlight scatter and fluorescence properties of nuclei insuspension the presence of debris background and thenumber of nuclei released from sample tissue Sampleswere prepared from leaf tissue of seven plant species thatcover a wide range of genome sizes (130ndash2690 pg per 2CDNA) and whose tissues differ in structure and chemicalcomposition (Table 1) Pisum sativum Lycopersiconesculentum and Vicia faba are common DNA referencestandards for FCM Sedum burrito a species fromCrassulaceae has fleshy leaves with many reserve sub-stances Oxalis pes-caprae has an acidic cell sap (Castroet al 2005) Celtis australis releases mucilaginouscompounds after tissue homogenization (Rodriguez et al2005a) and Festuca rothmaleri has rigid leaves that aredifficult to chop The effect of instrumental drift andoperator were also evaluated The main goal of the studywas to provide data that facilitate selection of the

appropriate buffer and to propose strategies to minimizecommon problems in plant DNA flow cytometry

MATERIALS AND METHODS

Plant material

Plants of Lycopersicon esculentum lsquoStupickersquo(Solanaceae) Pisum sativum lsquoCtiradrsquo (Fabaceae) andVicia faba lsquoInovecrsquo (Fabaceae) were grown from seedsPlants of Festuca rothmaleri (Poaceae) and Oxalis pes-caprae (Oxalidaceae) were kindly provided by Prof PauloSilveira and Dr Sılvia Castro (Department of BiologyUniversity of Aveiro Portugal) respectively Plants ofSedum burrito (Crassulaceae) were obtained from Flor doCentro Horticultural Centre (Mira Portugal) All plantswere maintained in a greenhouse at 22 6 2 C with aphotoperiod of 16 h and a light intensity of 530 6 2 mmolm2 s1 Leaves of Celtis australis (Ulmaceae) werecollected directly from field-growing trees in AveiroPortugal

Sample preparation

Approximately 40ndash50 mg of young leaf tissue was usedfor sample preparation The amount of material requiredto release a sufficient number of nuclei in S burrito had tobe increased to approximately 500 mg due to the fleshynature of the leaves Nuclei suspensions were preparedaccording to Galbraith et al (1983) Four common nuclearisolation buffers (Dolezel and Bartos 2005) were used toprepare samples (Table 2) One millilitre of nucleisuspension was recovered and filtered through a 50-mmnylon filter to remove cell fragments and large debrisNuclei were stained with 50mg mL1 propidium iodide(PI) (Fluka Buchs Switzerland) and 50mg mL1 RNase(Sigma St Louis MO USA) was added to the nuclearsuspension to prevent staining of double-stranded RNASamples were incubated on ice and analysed within10 min

Flow cytometric analyses

Samples were analysed in a Coulter EPICS XL (CoulterElectronics Hialeah FL USA) flow cytometer equippedwith an air-cooled argon-ion laser tuned at 15 mW andoperating at 488 nm Fluorescence was collected through a645-nm dichroic long-pass filter and a 620-nm band-passfilter The results were acquired using the SYSTEM IIsoftware version 30 (Coulter Electronics) Prior toanalysis the instrument was checked for linearity withfluorescent beads (Coulter Electronics) and the amplifi-cation settings were kept constant throughout theexperiment

The following parameters were evaluated in eachsample forward light scatter (FS to estimate relativesize of particles) side light scatter (SS to estimate relativeoptical complexity of particles) relative fluorescenceintensity of PI-stained nuclei (FL) half peak coefficientof variation (CV) of the G0G1 peak (to estimatenuclei integrity and variation in DNA staining) a debris

T A B L E 1 Nuclear DNA content of the seven plant speciesused in this study

Species Family

NuclearDNA content(pg per 2C) Reference

Sedum burrito Crassulaceae 130 This workOxalis pes-caprae Oxalidaceae 137 Castro

et al (2005)LycopersiconesculentumlsquoStupickersquo

Solanaceae 196 Dolezelet al (1992)

Celtis australis Ulmaceae 246 Rodriguezet al (2005a)

Pisum sativum lsquoCtiradrsquo Fabaceae 909 Dolezelet al (1989)

Festuca rothmaleri Poaceae 1367 J Loureiro(unpubl data)

Vicia faba lsquoInovecrsquo Fabaceae 2690 Dolezelet al (1992)

680 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

background factor (DF to assess sample quality) and anuclear yield factor (YF to compare the amount of nucleiin suspension independently of the amount of leaftissue used)

CV () was calculated using the following formula

Half peak CV eth THORN

frac14 4246 middot width of peak at half the peak height

peak positioneth1THORN

DF () was calculated as follows

DF eth THORN frac14total number of particles total number of intact nuclei

total number of particlesmiddot 100

eth2THORN

DF increases as debris increasesYF (nuclei sndash1 mgndash1) was calculated using the formula

YF nucleis1mg1

frac14 total number of intact nuclei=number of seconds of run seth THORNweight of tissue mgeth THORN

eth3THORN

The flow rate was defined as low and was kept constantthroughout the experiment

The analysis was performed on three different days andby two operators (labelled here as A and B) Fivereplicates were performed per operator for each buffer andin each replicate at least 5000 nuclei were analysedHistograms of FL obtained with the best and worstperforming buffers were overlaid using WinMDI software(Trotter 2000) (Fig 1)

For S burrito nuclear genome size was estimated usingL esculentum lsquoStupickersquo (2C = 196 Dolezel et al 1992)as internal reference standard according to the followingformula

S burrito 2C nuclear DNA content pgeth THORN

frac14 S burrito G0=G1 peak mean

L esculentum G0=G1 peak meanmiddot 196 eth4THORN

Conversion of mass values into base-pair numbers wasachieved according to the factor 1 pg = 978 Mbp (Dolezelet al 2003)

Statistical analyses

Statistical analyses were performed using a three-wayANOVA (SigmaStat for Windows version 311) to assessfor differences among buffers and dates and betweenoperators When treatments were significantly different aHolmndashSidak multiple comparison test was used for pair-wise comparison Hierarchical cluster analyses wereperformed using NCSS 2004 (Hintze 2004) Dendrogramshighlighting dissimilarities among buffers and betweenoperators were obtained using FS SS FL CV BF andYF The Unweighted Pair Group Method with Arithmeticmean (UPGMA) was followed in each species as ityielded the highest co-phenetic correlation coefficient

RESULTS

With the exception of O pes-caprae for which meas-urable samples were only obtained with Ottorsquos andGalbraithrsquos buffers all buffers yielded acceptable histo-grams with all species tested In any analysis it waspossible to isolate a reasonable number of nuclei(approximately 20ndash60 nuclei per second in a low-speedconfiguration) and obtain well-defined histograms withDNA peaks with acceptable CV values (lt50 Galbraithet al 2002 Fig 1 Table 3) Table 3 indicates the bestperforming buffer(s) for each species The selectioncriteria were the highest FL and YF values and thelowest CV and DF values

Sedum burrito

This species was investigated because of its expectedsmall genome size and fleshy leaves FCM analysisrevealed the occurrence of polysomaty as demonstratedby the presence of discrete populations of nuclei withDNA contents of 2C 4C 8C 16C and higher In orderto observe a higher number of endopolyploidy

T A B L E 2 Four nuclear isolation buffers most frequently used in plant DNA flow cytometry

Buffer Composition Reference

Galbraith 45 mM MgCl2 30 mM sodium citrate 20 mM MOPS01 (vv) Triton X-100 pH 70

Galbraith et al (1983)

LB01 15 mM Tris 2 mM Na2EDTA 05 mM spermine4HCl80 mM KCl 20 mM NaCl 01 (vv) TritonX-100 pH 80dagger

Dolezel et al (1989)

Ottoz Otto I 100 mM citric acid 05 (vv) Tween 20 (pH 2ndash3)Otto II 400 mM Na2PO4

12H2O (pH 8ndash9)Otto (1992) Dolezel and Gohde (1995)

TrisMgCl2 200 mM Tris 4 mM MgCl26H2O 05 (vv)Triton X-100 pH 75

Pfosser et al (1995)

Final concentrations are givendagger The buffer formula contains 15 mM mercaptoethanol However as the other buffers were used without additives that suppress the negative effect of

phenols and other cytosolic compounds LB01 was used without mercaptoethanolz pH of the buffers is not adjusted The nuclei are isolated in Otto I buffer DNA staining is done in a mixture of Otto I and Otto II (1 2) with a final volume

of 1 mL

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 681

levels instrument gain was set such that the 2C peak wasapproximately on channel 100 The 2C nuclear DNAcontent was estimated as 130 6 009 pg (2C = 1271 Mbp)this is the first estimate for this species (Table 1) Com-parative analysis of the four buffers revealed that Ottorsquoswas the best in this species In general YF values were low

(the lowest values from all the test species) whereas DFvalues were high (approx 650 Table 3 Fig 1B)

Oxalis pes-caprae

Only Ottorsquos and Galbraithrsquos buffers provided acceptableresults with this species Ottorsquos was clearly and

0 75 1500

25

1023

43

3

2

2

2

2

2

2

1

1

1

1

1

PI

Peak FL CV() 1 108middot7 5middot87 2 118middot7 3middot00 3 206middot8 4middot10 4 231middot0 2middot55

TrismiddotMgCl2 bufferGreenOttorsquos bufferBlue

Peak FL CV() 1 97middot6 9middot74 2 187middot0 3middot50 3 201middot1 2middot69

TrismiddotMgCl2 bufferGreenGalbraithrsquos bufferOrangeOttorsquos bufferBlue

Peak FL CV() 1 226middot1 4middot09 2 252middot1 1middot96

TrismiddotMgCl2 bufferGreenLB01 bufferRed

Peak FL CV() 1 190middot3 2middot21 2 205middot8 3middot90

TrismiddotMgCl2 bufferGreenOttorsquos bufferBlue

Peak FL CV() 1 184middot1 2middot78 2 213middot8 3middot48

LB01 bufferRedOttorsquos bufferBlue

Peak FL CV() 1 168middot4 3middot32 2 202middot6 2middot10

Ottorsquos bufferBlueLB01 bufferRed

Peak FL CV() 1 180middot5 1middot52 2 188middot1 3middot07

Ottorsquos bufferBlueTrismiddotMgCl2 bufferGreen

0

50

75

100

125

Time (s)

Ottorsquos buffer

PI

225

0

450

0

512

128

00 PI 1023

300

Cou

nt

Cou

ntC

ount

Cou

nt

0

1024

Cou

nt

0

400

1

0

512

Cou

nt

2

1

1023PI0

512

0

Cou

nt

A B

C D

E F

G H

F I G 1 Cytogram of fluorescence intensity (PI relative channel numbers) vs time of Pisum sativum nuclei isolated with Ottorsquos buffer (A) and histograms ofrelative fluorescence intensities (BndashH) which show overlays of distributions obtained with the best and worst performing buffer for each species (B) Sedumburrito (C) Oxalis pes-caprae (D) Lycopersicon esculentum (E) Celtis australis (F) Pisum sativum (G) Festuca rothmaleri and (H) Vicia faba Relativemean channel numbers and coefficients of variation (CV ) of G0G1 peaks are given Four lysis buffers were compared LB01 (red) Galbraithrsquos (orange)

TrisMgCl2 (green) and Ottorsquos (blue)

682 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

TA

BL

E3

F

low

cyto

met

ric

pa

ram

eter

sa

sses

sed

inea

chsp

ecie

s

FS

(ch

ann

elu

nit

s)S

S(c

han

nel

un

its)

FL

(ch

ann

elu

nit

s)C

V(

)B

F(

)Y

F(n

ucl

eis

1m

g

1)

Sp

ecie

sB

uff

erM

ean

SD

Mea

nS

DM

ean

SD

Mea

nS

DM

ean

SD

Mea

nS

D

Sed

um

bu

rrit

oL

B0

15

76

6a

8 7

24

11 3

7a

2 4

48

11

0 9

a5

93

4 4

8a

0 4

07

69 1

5a

24 9

03

0 0

6a

0 0

04

Gal

bra

ith

41 0

6b

5 1

71

5 3

6b

2 2

99

11

2 1

a2

57

3 5

9ab

0 3

96

60 0

2a

16 6

31

0 0

5b

0 0

04

Tri

sM

gC

l 25

75

0a

8 5

56

13 3

4a

2 6

70

10

3 0

b6

19

5 6

1c

1 0

00

68 8

5a

13 8

74

0 0

5ab

0 0

04

Ott

o8 0

1c

2 1

79

2 5

8c

0 7

87

12

1 4

c3

93

3 2

7b

0 2

88

65 9

6a

6 3

30

05

ab

0 0

06

Oxa

lis

pes

-ca

pra

eL

B0

1ndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashG

alb

rait

h1

71 3

3a

36 4

04

19 7

5a

6 9

20

17

8 5

a5

21

4 1

4a

0 7

78

7 0

5a

4 9

77

1 0

1a

0 3

64

Tri

sM

gC

l 2ndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashO

tto

26 3

2b

4 9

33

3 9

0b

0 6

41

20

0 7

b6

24

3 0

3b

0 4

15

8 9

6a

5 9

08

0 6

2b

0 1

25

Lyc

oper

sico

nes

cule

ntu

mL

B0

11

5 4

2a

2 1

25

2 9

7a

0 4

94

25

7 9

a1

1 5

02 8

8a

0 8

80

21 2

1a

14 1

37

2 4

7a

1 5

12

Gal

bra

ith

21 5

3b

3 7

52

3 4

0a

0 7

13

20

8 5

b4

9 6

12 8

7a

0 7

12

16 8

7a

10 0

36

1 6

9ab

0 8

14

Tri

sM

gC

l 21

7 4

8a

4 9

70

4 7

6b

1 5

62

21

6 7

b2

7 2

73 7

0b

0 8

36

20 5

2a

12 9

18

1 7

2ab

1 7

45

Ott

o3 6

8c

1 5

37

1 9

5c

0 7

66

26

9 9

a1

1 1

72 1

8c

0 2

66

28 4

9b

13 2

54

0 9

1b

0 6

17

Cel

tis

au

stra

lis

LB

01

28 4

7a

4 8

47

11 4

5a

3 4

81

18

2 1

a1

3 1

33 0

2a

0 3

15

7 6

6a

3 5

65

0 5

0a

0 2

24

Gal

bra

ith

25 5

7a

1 8

42

4 5

4b

0 6

37

17

1 3

b7

76

2 8

7a

0 2

59

8 2

7a

3 4

45

0 3

5a

0 1

62

Tri

sM

gC

l 24

1 7

1b

6 9

44

16 0

8c

2 1

57

18

0 3

a1

0 4

42 8

5a

0 4

19

9 1

0b

5 0

85

0 4

9a

0 2

91

Ott

o8 2

0c

1 4

04

7 2

5b

1 7

87

19

2 8

c8

23

3 4

6b

0 4

05

23 9

6c

4 6

15

0 4

9a

0 2

00

Pis

um

sati

vum

LB

01

47 5

4a

1 5

50

10 8

7a

3 0

78

18

3 5

a5

06

2 8

1a

0 4

61

7 1

9a

2 8

23

2 3

3a

0 4

90

Gal

bra

ith

51 9

7a

3 6

24

5 2

9b

1 1

55

17

8 6

a3

36

3 0

2ab

0 4

65

6 3

4a

1 7

65

2 3

0a

0 8

76

Tri

sM

gC

l 25

9 3

7b

4 8

26

16 7

4c

2 9

14

17

7 7

a1

1 8

63 2

9b

0 5

15

6 3

9a

2 7

81

2 5

9a

0 8

94

Ott

o5 7

2c

0 9

93

4 7

9b

1 0

83

19

0 1

a6

06

1 9

4c

0 1

80

9 8

5b

2 6

68

1 1

5b

0 3

67

Fes

tuca

roth

ma

leri

LB

01

57 3

5a

1 8

25

8 5

7a

0 7

99

19

6 1

a6

07

3 2

4a

0 4

52

14 2

3ab

3 2

83

0 4

2a

0 1

82

Gal

bra

ith

61 0

3a

2 2

50

6 8

4b

0 6

49

18

2 7

b7

15

3 3

3ab

0 4

59

15 0

7a

1 9

74

0 2

7b

0 1

31

Tri

sM

gC

l 26

9 8

5a

1 6

03

17 7

2c

0 8

15

18

5 1

b8

06

3 6

6ab

0 3

12

17 3

0b

5 7

01

0 5

4a

0 1

95

Ott

o1

3 8

4b

2 8

46

8 5

5a

1 6

03

21

0 9

c6

77

3 7

6b

0 6

13

23 8

6c

12 9

92

0 1

1c

0 0

66

Vic

iafa

ba

LB

01

10

4 8

2a

6 0

21

11 6

1a

1 7

42

20

1 5

a4

45

2 4

0a

0 1

78

6 3

6a

2 3

26

0 8

7a

0 2

90

Ga

lbra

ith

11

4 5

5b

2 7

87

8 5

8b

1 3

06

19

6 9

a4

88

2 4

1a

0 1

48

5 8

0a

0 8

06

0 8

2a

0 2

35

Tri

sM

gC

l 21

15 4

5b

5 1

94

20 3

6c

1 4

43

19

1 5

a9

10

2 9

1b

0 2

72

6 8

5a

4 6

09

1 3

0b

0 3

45

Ott

o2

1 5

6c

8 7

21

14 0

5a

7 5

89

18

4 2

a1

6 9

22 2

2a

0 5

32

4 3

5a

1 7

51

0 4

5c

0 1

8

Val

ues

are

giv

enas

mea

nan

dst

and

ard

dev

iati

on

of

the

mea

n(S

D)

of

forw

ard

scat

ter

(FS

ch

ann

elu

nit

s)s

ide

scat

ter

(SS

chan

nel

un

its)

flu

ore

scen

ce(F

Lc

han

nel

un

its)

coef

fici

ento

fv

aria

tio

no

fG

0G

1D

NA

pea

k(C

V

)b

ack

gro

un

dfa

cto

r(B

F

)an

dn

ucl

eary

ield

fact

or(Y

Fn

ucl

eisndash

1m

gndash1)

Mea

ns

foll

ow

edb

yth

esa

me

lett

er(a

bo

rc)

are

no

tsta

tist

ical

lyd

iffe

ren

tacc

ord

ing

toth

em

ult

iple

com

par

ison

Ho

lmndashS

idak

test

atPlt

00

5

Buff

er(s

)th

atp

erfo

rmed

bes

tin

each

spec

ies

are

sho

wn

inb

old

typ

e

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 683

significantly better than Galbraithrsquos (Fig 1C) with highermean FL intensities and lower CV values (Table 3)Figure 1C also shows the histogram obtained after nuclearisolation with TrisMgCl2 buffer In this case a G0G1 peakwith an unacceptable CV value (974 ) and considerableloss of fluorescence was obtained A similar result wasobtained for nuclei isolated with LB01

Lycopersicon esculentum

Acceptable results were obtained with all four buffersTwo buffer groups with statistically significant differencesin FL were obtained Samples prepared with Galbraithrsquosand TrisMgCl2 buffers yielded lower mean FL valuesthan their counterparts prepared with LB01 and Ottorsquosbuffers (Fig 1D) The FL values were highly heterogen-eous among buffers Ottorsquos and LB01 were the bestbuffers with Ottorsquos providing lower CV values and higherFL but lower YF and higher BF than LB01 (Table 3)

Celtis australis

Low CV values (lt30 ) and low DF (lt100 ) wereobserved for this species Nevertheless it was not easy toobtain suffiecient nuclei and the second lowest YF valueswere observed in this species With regard to FL onlyLB01 and TrisMgCl2 buffers were not statistically dif-ferent with nuclei isolated from Galbraithrsquos buffer pre-senting the lowest mean FL and Ottorsquos the highest meanFL All parameters combined TrisMgCl2 and LB01 werethe best buffers as nuclei in TrisMgCl2 presented thelowest CV values and similar FL intensity and YF valuesas in LB01 (Table 3 Fig 1E)

Pisum sativum

In this species all buffers performed reasonably wellThe lowest FL intensities were obtained for nucleiisolated with TrisMgCl2 although no statistically signi-ficant differences were observed among the tested buffersThe best buffer for this species was Ottorsquos (Table 3Fig 1F) Among the investigated species P sativum wasthe one with the highest YF

Festuca rothmaleri

With the exception of CV values and YF overall resultsfor this species were satisfying with all four buffers testedNo statistically significant differences were found regard-ing the FL of nuclei isolated in TrisMgCl2 or Galbraithrsquosbuffers as nuclei from both buffers presented low FLvalues The best buffer for this species was LB01 (Table 3Fig 1G)

Vicia faba

This species gave the lowest CV and DF values amongthose tested Generally the results were very similar tothose obtained for P sativum FL was similar for all thebuffers and no statistically significant differences wereobserved Interestingly Vicia faba was the only species

for which Ottorsquos was not the buffer with the highest FL(Fig 1H) Despite low CV values of DNA peaks thisbuffer gave the worst results with the G0G1 peak shiftedtowards the lower channels This was due to fluorescenceinstability which decreased over time In all other speciesand with the remaining buffers FL was stable after 10 minof incubation with PI (Fig 1A) Results obtained withLB01 and Galbraithrsquos buffers were similar and the best forthis species (Table 3)

Analysis of FS and SS

Generally FS and SS values differed considerablyamong the test buffers Nevertheless in most of thespecies analysis of scatter parameters revealed that two ofthe four buffers were more similar than the others and nostatistically significant differences were observed betweenthem Interestingly and with the exception of S burritobuffers that had similar FS mean values were not thosethat had similar SS values This can be seen on cytogramsof FS vs SS obtained in P sativum (Fig 2) In thisspecies and for FS no statistically significant differenceswere observed between LB01 and Galbraithrsquos buffers forSS no difference was observed for Galbraithrsquos and Ottorsquosbuffers Interestingly simultaneous analysis of FS and SSresulted in a species-specific pattern that could be used asa fingerprint of each buffer

Effect of operator and date of analysis

In most cases no statistically significant differenceswere observed between operators and dates of analysisOperators provided more homogeneous results than datesin the former statistically significant differences wereobserved only for BF and YF in more than one speciesSignificant differences between the dates of analysis weredetected in some species for FS SS CV and BF Withregard to FL one of the most important parameters inFCM analyses significant among-day differences weredetected only in C australis and differences betweenoperators occurred only in L esculentum The two speciesmore susceptible to differences were L esculentum andV faba (Table 4)

Hierarchical cluster analysis

With the exception of the results for S burrito the fourbuffers fell into two highly dissimilar and consistentclusters one with Ottorsquos buffer and the other with theremaining buffers In S burrito (Fig 3A) one cluster wasformed with Ottorsquos and Galbraithrsquos buffers while theother comprised TrisMgCl2 and LB01 buffers InC australis (Fig 3C) Galbraithrsquos buffer was more similarto LB01 and TrisMgCl2 buffers than to Ottorsquos buffer inaddition lsquoTrisMgCl2 Arsquo was more similar to LB01 thanto lsquoTrisMgCl2 Brsquo In P sativum lsquoGalbraithrsquos Arsquo wasmore related to LB01 than to lsquoGalbraithrsquos Brsquo (Fig 3D)whereas for F rothmaleri lsquoLB01 Arsquo was more similar toGalbraithrsquos than to lsquoLB01 Brsquo (Fig 3E) In L esculentumtwo groups were formed from the second clusterTrisMgCl2 and lsquoGalbraith Arsquo formed one group and

684 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

FS log

C

SS lo

g

1 10 100 10000middot1

0middot1

1

10

100

1000

Meanchannel

FSSS 18middot2

TrisMgCl2

37middot8735middot6960middot7()

FPCV

Meanchannel

FSSS

LB01ASS

log

0middot1

1

10

100

1000

10middot045middot4

30middot0226middot09()

FPCV

FSSS 3middot1 37middot24

29middot936middot0

Ottorsquos

FS log

D

1 10 100 10000middot1

Meanchannel ()

FPCV

FS 52middot1 28middot42SS 5middot2 39middot04

GalbraithsB

Meanchannel ()

FPCV

F I G 2 Cytograms of forward scatter (logarithmic scale FS log) vs side scatter (logarithmic scale SS log) obtained after the analysis of Pisum sativum nucleiisolated with four lysis buffers (A) LB01 (B) Galbraithrsquos (C) TrisMgCl2 and (D) Ottorsquos The mean channel number and full peak coefficient of variation

(FPCV ) are given for both parameters Note that the patterns of distributions are characteristic for each buffer

T A B L E 4 Three-way ANOVA analysis of the dates (D) and operators (O) for the parameters evaluated on each species

FS SS FL CV BF YF

Species D O D O D O D O D O D O

Sedum burrito ns ns ns ns ns ns ns ns s ns ns nsOxalis pes-caprae s ns s ns ns ns s ns ns ns ns nsLycopersicon esculentum s ns ns ns ns s s ns s s s sCeltis australis ns ns ns ns s ns ns ns s ns ns nsPisum sativum ns ns s ns ns ns s ns s ns ns nsFestuca rothmaleri s ns ns ns ns ns ns ns ns s ns nsVicia faba ns s s s ns ns ns ns ns ns s s

Forward scatter FS side scatter SS fluorescence FL coefficient of variation of the G0G1 DNA peak CV background factor BF and nuclearyield factor YF

ns not significantly different s significantly different at P lt 005

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 685

LB01 and lsquoGalbraith Brsquo formed the other (Fig 3B) InV faba (Fig 3F) LB01 and Galbraithrsquos formed one groupowing to greater similarities between operators thanwithin each buffer As previously stated in O pes-capraeonly two buffers (Ottorsquos and Galbraithrsquos) providedacceptable results with considerable dissimilaritiesbetween them (data not shown)

DISCUSSION

Four nuclear isolation buffers were used with a setof species that were chosen to represent different types

of leaf tissues and different nuclear DNA content(130ndash2690 pg per 2C DNA) As expected popularDNA reference standards (P sativum V faba andL esculentum) were easy to work with Neverthelessnot all buffers worked well with L esculentumpossibly owing to the presence of cytosolic compoundsHowever as the aim of the study was to compare theperformance of basic buffer formulas the use of additivesthat could counteract the negative effects of cytosol wasavoided

Overall the best results were obtained with P sativumAs its 2C nuclear DNA content is in the middle of theknown range of genome sizes in plants this observation

A

C

E

B

D

F

Dissimilarity Dissimilarity

2middot0 1middot5 1middot0 0middot5 0middot02middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0 2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths A

Galbraiths B

TrisMgCl2 A

TrisMgCl2 B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

F I G 3 Dendrograms obtained after hierarchical cluster analysis of the following species (A) Sedum burrito (B) Lycopersicon esculentum (C) Celtisaustralis (D) Pisum sativum (E) Festuca rothmaleri (F) Vicia faba according to the parameters FS SS FL CV BF and YF With the exception of S burrito

the four buffers fell into two highly dissimilar clusters of the same buffers

686 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

underlines its position as one of the best standards forplant DNA FCM By contrast Sedum burrito was themost difficult species to analyse due to low DNA contentoccurrence of polysomaty and high leaf water contentwhich hampered sample preparation and analysis More-over its tissues may contain tannins (J Greilhuber perscomm 2006)

In O pes-caprae cytosol of which is highly acidic(pH lt 30) measurable samples could be prepared usingonly Ottorsquos and Galbraithrsquos buffers with Ottorsquos beinghighly superior This is in accordance with the results ofEmshwiller (2002) who analysed ploidy levels in OxalisAfter testing LB01 MgSO4 and Ottorsquos buffers sheobtained measurable samples only with Ottorsquos The formertwo buffers failed presumably as a result of the acidic cellsap which may have exceeded the buffering capacity ofLB01 and MgSO4

Celtis australis was the only woody plant speciesincluded in the present study and was chosen because ofthe presence of mucilaginous compounds (Rodriguez et al2005a) which increase sample viscosity restrain nucleirelease and cause their clumping Interestingly this wasthe only species for which TrisMgCl2 was the bestperforming buffer This was probably because of a higherconcentration of the non-ionic detergent which sup-pressed the effect of mucilaginous compounds Leaftissues of F rothmaleri were particularly hard anddifficult to chop In addition preliminary experimentswith this species revealed the presence of cytosoliccompounds which would be expected to interfere withDNA staining However given the pattern of FS and SSobtained the so-called lsquotannic acid effectrsquo (Loureiro et al2006) was absent indicating that these compounds werereleased at low concentration or not at all

In order to compare the performance of nuclear isolationbuffers a set of parameters was carefully selected toevaluate sample quality Furthermore stability of fluores-cence and light scatter properties of isolated nuclei overtime were confirmed Among the parameters chosen thecoefficient of variation of DNA peaks (CV) is of majorimportance Galbraith et al (2002) considered 50 asthe maximum acceptable CV value in plant DNA flowcytometry With the exception of TrisMgCl2 buffer whenused with S burrito all mean CV values obtained hereinwere below this limit Ideally a nuclei sample should befree of cell and tissue debris Emshwiller (2002) noted acorrelation between CV and background noise In thepresent study this correlation was found only in somespecies (eg F rothmaleri) Rather the results heresuggest that the extent of background debris is determinedby the buffer itself For example a higher detergentconcentration in a buffer could lead to chloroplast lysisand consequently decrease the number of fluorescentparticles contributing to debris signals (Coba de la Penaand Brown 2001)

LB01 buffer provided very good results with theexception of O pes-caprae and S burrito low CV highFL and YF values were obtained with this buffer Highnuclei FL intensities obtained with this buffer weredefinitely an advantage as compared with TrisMgCl2 and

Galbraithrsquos buffers Galbraithrsquos buffer seems well bal-anced as acceptable results were achieved in all speciesSurprisingly the buffer gave reasonable results also withO pes-caprae which is characterized by highly acidiccytosol The presence of MOPS in the buffer may shedlight on these findings as it has a pKa of 72 and a betterbuffering capacity than TRIS with a pKa of 81 Adisadvantage of this buffer was the low fluorescenceintensity of nuclei Collectively TrisMgCl2 was the worstperforming buffer Nevertheless it provided the bestresults for C australis This may have been due to thehigher concentration of non-ionic detergent (Table 1)which counteracted the agglutinating effect of mucilagin-ous compounds and decreased sample viscosity As withGalbraithrsquos buffer low FL values were obtained withTrisMgCl2

Ottorsquos buffer is unique in that sample preparationinvolves two steps The results obtained with Ottorsquos bufferwere excellent in many species especially those withlower nuclear DNA content Dolezel and Bartos (2005)highlighted the quality of this buffer which is known toprovide DNA content histograms with unequalled resolu-tion One explanation for this may be that citric acidimproves chromatin accessibility and lsquohomogenizesrsquo chro-matin structure eliminating differences in staining intens-ity among nuclei with the same DNA content but differentchromatin state This could explain the highest FL andlowest CV values as observed here Another characteristicof this buffer was that light scatter values (especially FS)were significantly lower than those of other buffers Thismay be explained by the action of citric acid whichcauses nuclei fixation (Dolezel and Bartos 2005) It isnoteworthy that the pattern of FS vs SS distribution wassimilar to that obtained when analysing nuclei fixed withformaldehyde (Rodriguez et al 2005b) Althoughproviding excellent results this buffer gave the highestBF and lowest YF values The former can be explained bynuclei instability after the addition of Otto II After thisstep nuclei deteriorate rapidly in some species (J Dolezelunpubl res) The lowest YF values could be due to thedetergent (Tween 20) which is weaker than Triton X-100thus having a lower capacity to release nuclei

An important consequence of the observation ofdifferent fluorescence values obtained with the differentbuffers is that different fluorescence ratios may beexpected with the same species pair if the samples areprepared in different buffers In fact Dolezel et al (1998)observed differences in peak ratios obtained in differentlaboratories Further studies are needed to confirm thisobservation as it may have important consequences forestimation of genome size

The present results showed that well-defined popula-tions of nuclei could be observed on cytograms of FS vsSS With the exception of S burrito for which LB01 andTrisMgCl2 buffers did not present statistically significantdifferences for both parameters the analysis of FS and SSprovided a fingerprint pattern for each buffer Loureiroet al (2006) showed that these parameters were sensitiveto the presence of tannic acid a cytosolic compoundcommon in plants and recommended the analysis of light

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 687

scatter to verify suitability of particular samples for plantDNA FCM

As nuclei samples are prepared manually it wasimportant to assess the effect of date of analysis andoperator on sample quality variation Date was found to bemore significant than the effect of different operatorsespecially for FS SS CV and DF YF which depends onthe way the sample is chopped and hence on the operatordid not vary It was expected that FL which is a primarysource of data in FCM analysis would not depend on theoperator or the day of chopping This was confirmed in allspecies except L esculentum and C australis In theformer species a significant variation was obtainedbetween operators These differences could be explainedby variable results obtained with Galbraithrsquos buffer InC australis significant differences were obtained amongdates In this case significant differences were due toresults obtained on one single day Emshwiller (2002)found significant differences when multiple preparationsfrom the same plant were run on different days Thesedifferences and those found in the present study wereprobably due to instrument drift (Kudo and Kimura2001) To avoid this type of error several authors haverecommended that each measurement be repeated at leastthree times on three different days (Suda 2004 Dolezeland Bartos 2005)

This is the first study that has systematically comparednuclear isolation buffers for DNA FCM The results showthat none of the buffers works best with all species andstatistically significant differences in sample quality wereobserved among the four buffers The results obtainedwith different species and contrasting types of leaf tissuescan serve as guidelines in buffer selection Nevertheless itis recommend that a range of buffers be tested whenworking with a new species and tissue type Once the bestbuffer has been identified additives should be tested ifrequired to suppress negative effects of phenols and othercytosolic compounds

ACKNOWLEDGEMENTS

We are grateful to Prof Johann Greilhuber and Dr JanSuda for critical reading of the manuscript This work wassupported by FCT project ref POCTIAGR606722004JL was supported by the Fellowship FCTBD90032002

LITERATURE CITEDBennett MD Leitch I 2005 Genome size evolution in plants In

Gregory T ed The evolution of the genome London ElsevierAcademic Press 89ndash162

Bergounioux C Perennes C Brown SC Gadal P 1988 Cytometricanalysis of growth regulator-dependent transcription and cell cycleprogression in Petunia protoplast cultures Planta 175 500ndash505

Bergounioux C Brown SC Petit PX 1992 Flow cytometry and plantprotoplast cell biology Physiologia Plantarum 85 374ndash386

Castro S Loureiro J Santos C Ayensa G Navarro L 2005 Differentploidy levels could explain reproductive matter of invasive Oxalispes-caprae L in Mediterranean regions In Brunel S ed Invasiveplants in Mediterranean type regions of the world StrasbourgCedex France Council of Europe Publishing 235

Coba de la Pena T Brown SC 2001 Cytometry and fluorimetryIn Hawes C Satiat-Jeunemaıtre B eds Plant cell biology

a practical approach New York Oxford University Press85ndash106

Dolezel J Bartos J 2005 Plant DNA flow cytometry and estimation ofnuclear genome size Annals of Botany 95 99ndash110

Dolezel J Gohde W 1995 Sex determination in dioecious plantsMelandrium album and M rubrum using high-resolution flowcytometry Cytometry 19 103ndash106

Dolezel J Binarova P Lucretti S 1989 Analysis of nuclear DNAcontent in plant cells by flow cytometry Biologia Plantarum 31113ndash120

Dolezel J Sgorbati S Lucretti S 1992 Comparison of three DNAfluorochromes for flow cytometric estimation of nuclear DNAcontent in plants Physiologia Plantarum 85 625ndash631

Dolezel J Greilhuber J Lucretti S Meister A Lysak M Nardi LObermayer R 1998 Plant genome size estimation byflow cytometry inter-laboratory comparison Annals of Botany 8217ndash26

Dolezel J Bartos J Voglmayr H Greilhuber J 2003 Nuclear DNAcontent and genome size of trout and human Cytometry 51A127ndash128

Emshwiller E 2002 Ploidy levels among species in the lsquoOxalis tuberosaAlliancersquo as inferred by flow cytometry Annals of Botany 89741ndash753

Galbraith DW 2004 Cytometry and plant sciences a personalretrospective Cytometry 58A 37ndash44

Galbraith DW Harkins KR Maddox JM Ayres NM Sharma DPFiroozabady E 1983 Rapid flow cytometric analysis of the cell-cycle in intact plant-tissues Science 220 1049ndash1051

Galbraith DW Lambert GM Macas J Dolezel J 2002 Analysis ofnuclear DNA content and ploidy in higher plants In Robinson JPDarzynkiewicz Z Dean PN Dressler LG Rabinovitch PS StewartCV Tanke HJ Wheeless LL eds Current protocols in cytometryNew York John Wiley amp Sons 761ndash7622

Heller FO 1973 DNS-Bestimmung an Keimwurzeln von Vicia faba Lmit Hilfe der Impulscytophotometrie Bericht der DeutschenBotanischen Gesellschaft 86 437ndash441

Hintze J 2004 NCSS and PASS Kaysville Utah Number CruncherStatistical Systems

Kudo N Kimura Y 2001 Flow cytometric evidence for endopolyploidyin seedlings of some Brassica species Theoretical and AppliedGenetics 102 104ndash110

Loureiro J Rodriguez E Dolezel J Santos C 2006 Flow cytometricand microscopic analysis of the effect of tannic acid on plantnuclei and estimation of DNA content Annals of Botany 98515ndash527

Noirot M Barre P Louarn J Duperray C Hamon S 2000 Nucleusndashcytosol interactionsmdashA source of stoichiometric error in flowcytometric estimation of nuclear DNA content in plants Annals ofBotany 86 309ndash316

Noirot M Barre P Duperray C Louarn J Hamon S 2003 Effects ofcaffeine and chlorogenic acid on propidium iodide accessibility toDNA consequences on genome size evaluation in coffee treeAnnals of Botany 92 259ndash264

Otto F 1992 Preparation and staining of cells for high-resolution DNAanalysis In Radbruch A ed Flow cytometry and cell sortingBerlin Springer-Verlag 101ndash104

Pfosser M Amon A Lelley T Heberle-Bors E 1995 Evaluation ofsensitivity of flow cytometry in detecting aneuploidy in wheat usingdisomic and ditelosomic wheat-rye addition lines Cytometry 21387ndash393

Pinto G Loureiro J Lopes T Santos C 2004 Analysis of the geneticstability of Eucalyptus globulus Labill somatic embryos by flowcytometry Theoretical and Applied Genetics 109 580ndash587

Rodriguez E Gomes A Loureiro J Dolezel J Santos C 2005aEstimation of the genome size of the Iberian Peninsula Ulmaceae In9th Iberian Congress of Cytometry Book of Abstracts PortoPortugal 37

Rodriguez E Loureiro J Dolezel J Santos C 2005b The adequacy ofusing formaldehyde fixation for nuclear DNA content analyses ofplant material In 9th Iberian Congress of Cytometry Book ofAbstracts Porto Portugal PO120-PB

Shapiro H 2004 Practical flow cytometry 4th edn New YorkWiley-Liss

688 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

Suda J 2004 An employment of flow cytometry into plant biosystematicsPhD thesis Charles University Czech Republic Available at httpwwwibotcasczfcmsudapresentationdisertationpdf

Trotter J 2000 WinMDI version 28 Available at httpfacsscrippsedusoftwarehtml

Ulrich I Ulrich W 1986 Flow cytometric DNA analysis of plantprotoplasts with DAPI Zeitschrift fur Naturforschung 411052ndash1056

Ulrich I Fritz B Ulrich W 1988 Application of DNA fluorochromes forflow cytometric DNA analysis of plant protoplasts Plant Science 55151ndash158

Walker D Monino I Correal E 2006 Genome size inBituminaria bituminosa (L) CH Stirton (Fabaceae) populationsseparation of lsquotruersquo differences from environmental effects on DNAdetermination Environmental and Experimental Botany 55258ndash265

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 689

remnants from nuclei surface and decrease the aggrega-tion affinity of nuclei and debris (Coba de la Pena andBrown 2001 Dolezel and Bartos 2005)

Given the different chemical composition and diversityof plant tissues it may be expected that each buffer wouldperform differently This problem was exacerbated by therecent observation of the presence of cytosolic compoundsthat are released during nuclei isolation These compoundsinteract with nuclear DNA andor the fluorochromeaffecting sample quality and causing stoichiometric errorsin DNA staining (Noirot et al 2000 2003 Pinto et al2004 Loureiro et al 2006 Walker et al 2006) Loureiroet al (2006) observed that nuclei of Pisum sativum andZea mays responded differently to tannic acid a commonphenolic compound in plants when isolated in differentnuclear isolation buffers However no systematic com-parison of lysis buffers has been made until now

We set out to compare four of the most commonbuffers that differ in chemical composition Galbraithrsquosbuffer (Galbraith et al 1983) LB01 (Dolezel et al1989) Ottorsquos buffer (Otto 1992 Dolezel and Gohde1995) and TrisMgCl2 (Pfosser et al 1995) We evaluatedlight scatter and fluorescence properties of nuclei insuspension the presence of debris background and thenumber of nuclei released from sample tissue Sampleswere prepared from leaf tissue of seven plant species thatcover a wide range of genome sizes (130ndash2690 pg per 2CDNA) and whose tissues differ in structure and chemicalcomposition (Table 1) Pisum sativum Lycopersiconesculentum and Vicia faba are common DNA referencestandards for FCM Sedum burrito a species fromCrassulaceae has fleshy leaves with many reserve sub-stances Oxalis pes-caprae has an acidic cell sap (Castroet al 2005) Celtis australis releases mucilaginouscompounds after tissue homogenization (Rodriguez et al2005a) and Festuca rothmaleri has rigid leaves that aredifficult to chop The effect of instrumental drift andoperator were also evaluated The main goal of the studywas to provide data that facilitate selection of the

appropriate buffer and to propose strategies to minimizecommon problems in plant DNA flow cytometry

MATERIALS AND METHODS

Plant material

Plants of Lycopersicon esculentum lsquoStupickersquo(Solanaceae) Pisum sativum lsquoCtiradrsquo (Fabaceae) andVicia faba lsquoInovecrsquo (Fabaceae) were grown from seedsPlants of Festuca rothmaleri (Poaceae) and Oxalis pes-caprae (Oxalidaceae) were kindly provided by Prof PauloSilveira and Dr Sılvia Castro (Department of BiologyUniversity of Aveiro Portugal) respectively Plants ofSedum burrito (Crassulaceae) were obtained from Flor doCentro Horticultural Centre (Mira Portugal) All plantswere maintained in a greenhouse at 22 6 2 C with aphotoperiod of 16 h and a light intensity of 530 6 2 mmolm2 s1 Leaves of Celtis australis (Ulmaceae) werecollected directly from field-growing trees in AveiroPortugal

Sample preparation

Approximately 40ndash50 mg of young leaf tissue was usedfor sample preparation The amount of material requiredto release a sufficient number of nuclei in S burrito had tobe increased to approximately 500 mg due to the fleshynature of the leaves Nuclei suspensions were preparedaccording to Galbraith et al (1983) Four common nuclearisolation buffers (Dolezel and Bartos 2005) were used toprepare samples (Table 2) One millilitre of nucleisuspension was recovered and filtered through a 50-mmnylon filter to remove cell fragments and large debrisNuclei were stained with 50mg mL1 propidium iodide(PI) (Fluka Buchs Switzerland) and 50mg mL1 RNase(Sigma St Louis MO USA) was added to the nuclearsuspension to prevent staining of double-stranded RNASamples were incubated on ice and analysed within10 min

Flow cytometric analyses

Samples were analysed in a Coulter EPICS XL (CoulterElectronics Hialeah FL USA) flow cytometer equippedwith an air-cooled argon-ion laser tuned at 15 mW andoperating at 488 nm Fluorescence was collected through a645-nm dichroic long-pass filter and a 620-nm band-passfilter The results were acquired using the SYSTEM IIsoftware version 30 (Coulter Electronics) Prior toanalysis the instrument was checked for linearity withfluorescent beads (Coulter Electronics) and the amplifi-cation settings were kept constant throughout theexperiment

The following parameters were evaluated in eachsample forward light scatter (FS to estimate relativesize of particles) side light scatter (SS to estimate relativeoptical complexity of particles) relative fluorescenceintensity of PI-stained nuclei (FL) half peak coefficientof variation (CV) of the G0G1 peak (to estimatenuclei integrity and variation in DNA staining) a debris

T A B L E 1 Nuclear DNA content of the seven plant speciesused in this study

Species Family

NuclearDNA content(pg per 2C) Reference

Sedum burrito Crassulaceae 130 This workOxalis pes-caprae Oxalidaceae 137 Castro

et al (2005)LycopersiconesculentumlsquoStupickersquo

Solanaceae 196 Dolezelet al (1992)

Celtis australis Ulmaceae 246 Rodriguezet al (2005a)

Pisum sativum lsquoCtiradrsquo Fabaceae 909 Dolezelet al (1989)

Festuca rothmaleri Poaceae 1367 J Loureiro(unpubl data)

Vicia faba lsquoInovecrsquo Fabaceae 2690 Dolezelet al (1992)

680 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

background factor (DF to assess sample quality) and anuclear yield factor (YF to compare the amount of nucleiin suspension independently of the amount of leaftissue used)

CV () was calculated using the following formula

Half peak CV eth THORN

frac14 4246 middot width of peak at half the peak height

peak positioneth1THORN

DF () was calculated as follows

DF eth THORN frac14total number of particles total number of intact nuclei

total number of particlesmiddot 100

eth2THORN

DF increases as debris increasesYF (nuclei sndash1 mgndash1) was calculated using the formula

YF nucleis1mg1

frac14 total number of intact nuclei=number of seconds of run seth THORNweight of tissue mgeth THORN

eth3THORN

The flow rate was defined as low and was kept constantthroughout the experiment

The analysis was performed on three different days andby two operators (labelled here as A and B) Fivereplicates were performed per operator for each buffer andin each replicate at least 5000 nuclei were analysedHistograms of FL obtained with the best and worstperforming buffers were overlaid using WinMDI software(Trotter 2000) (Fig 1)

For S burrito nuclear genome size was estimated usingL esculentum lsquoStupickersquo (2C = 196 Dolezel et al 1992)as internal reference standard according to the followingformula

S burrito 2C nuclear DNA content pgeth THORN

frac14 S burrito G0=G1 peak mean

L esculentum G0=G1 peak meanmiddot 196 eth4THORN

Conversion of mass values into base-pair numbers wasachieved according to the factor 1 pg = 978 Mbp (Dolezelet al 2003)

Statistical analyses

Statistical analyses were performed using a three-wayANOVA (SigmaStat for Windows version 311) to assessfor differences among buffers and dates and betweenoperators When treatments were significantly different aHolmndashSidak multiple comparison test was used for pair-wise comparison Hierarchical cluster analyses wereperformed using NCSS 2004 (Hintze 2004) Dendrogramshighlighting dissimilarities among buffers and betweenoperators were obtained using FS SS FL CV BF andYF The Unweighted Pair Group Method with Arithmeticmean (UPGMA) was followed in each species as ityielded the highest co-phenetic correlation coefficient

RESULTS

With the exception of O pes-caprae for which meas-urable samples were only obtained with Ottorsquos andGalbraithrsquos buffers all buffers yielded acceptable histo-grams with all species tested In any analysis it waspossible to isolate a reasonable number of nuclei(approximately 20ndash60 nuclei per second in a low-speedconfiguration) and obtain well-defined histograms withDNA peaks with acceptable CV values (lt50 Galbraithet al 2002 Fig 1 Table 3) Table 3 indicates the bestperforming buffer(s) for each species The selectioncriteria were the highest FL and YF values and thelowest CV and DF values

Sedum burrito

This species was investigated because of its expectedsmall genome size and fleshy leaves FCM analysisrevealed the occurrence of polysomaty as demonstratedby the presence of discrete populations of nuclei withDNA contents of 2C 4C 8C 16C and higher In orderto observe a higher number of endopolyploidy

T A B L E 2 Four nuclear isolation buffers most frequently used in plant DNA flow cytometry

Buffer Composition Reference

Galbraith 45 mM MgCl2 30 mM sodium citrate 20 mM MOPS01 (vv) Triton X-100 pH 70

Galbraith et al (1983)

LB01 15 mM Tris 2 mM Na2EDTA 05 mM spermine4HCl80 mM KCl 20 mM NaCl 01 (vv) TritonX-100 pH 80dagger

Dolezel et al (1989)

Ottoz Otto I 100 mM citric acid 05 (vv) Tween 20 (pH 2ndash3)Otto II 400 mM Na2PO4

12H2O (pH 8ndash9)Otto (1992) Dolezel and Gohde (1995)

TrisMgCl2 200 mM Tris 4 mM MgCl26H2O 05 (vv)Triton X-100 pH 75

Pfosser et al (1995)

Final concentrations are givendagger The buffer formula contains 15 mM mercaptoethanol However as the other buffers were used without additives that suppress the negative effect of

phenols and other cytosolic compounds LB01 was used without mercaptoethanolz pH of the buffers is not adjusted The nuclei are isolated in Otto I buffer DNA staining is done in a mixture of Otto I and Otto II (1 2) with a final volume

of 1 mL

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 681

levels instrument gain was set such that the 2C peak wasapproximately on channel 100 The 2C nuclear DNAcontent was estimated as 130 6 009 pg (2C = 1271 Mbp)this is the first estimate for this species (Table 1) Com-parative analysis of the four buffers revealed that Ottorsquoswas the best in this species In general YF values were low

(the lowest values from all the test species) whereas DFvalues were high (approx 650 Table 3 Fig 1B)

Oxalis pes-caprae

Only Ottorsquos and Galbraithrsquos buffers provided acceptableresults with this species Ottorsquos was clearly and

0 75 1500

25

1023

43

3

2

2

2

2

2

2

1

1

1

1

1

PI

Peak FL CV() 1 108middot7 5middot87 2 118middot7 3middot00 3 206middot8 4middot10 4 231middot0 2middot55

TrismiddotMgCl2 bufferGreenOttorsquos bufferBlue

Peak FL CV() 1 97middot6 9middot74 2 187middot0 3middot50 3 201middot1 2middot69

TrismiddotMgCl2 bufferGreenGalbraithrsquos bufferOrangeOttorsquos bufferBlue

Peak FL CV() 1 226middot1 4middot09 2 252middot1 1middot96

TrismiddotMgCl2 bufferGreenLB01 bufferRed

Peak FL CV() 1 190middot3 2middot21 2 205middot8 3middot90

TrismiddotMgCl2 bufferGreenOttorsquos bufferBlue

Peak FL CV() 1 184middot1 2middot78 2 213middot8 3middot48

LB01 bufferRedOttorsquos bufferBlue

Peak FL CV() 1 168middot4 3middot32 2 202middot6 2middot10

Ottorsquos bufferBlueLB01 bufferRed

Peak FL CV() 1 180middot5 1middot52 2 188middot1 3middot07

Ottorsquos bufferBlueTrismiddotMgCl2 bufferGreen

0

50

75

100

125

Time (s)

Ottorsquos buffer

PI

225

0

450

0

512

128

00 PI 1023

300

Cou

nt

Cou

ntC

ount

Cou

nt

0

1024

Cou

nt

0

400

1

0

512

Cou

nt

2

1

1023PI0

512

0

Cou

nt

A B

C D

E F

G H

F I G 1 Cytogram of fluorescence intensity (PI relative channel numbers) vs time of Pisum sativum nuclei isolated with Ottorsquos buffer (A) and histograms ofrelative fluorescence intensities (BndashH) which show overlays of distributions obtained with the best and worst performing buffer for each species (B) Sedumburrito (C) Oxalis pes-caprae (D) Lycopersicon esculentum (E) Celtis australis (F) Pisum sativum (G) Festuca rothmaleri and (H) Vicia faba Relativemean channel numbers and coefficients of variation (CV ) of G0G1 peaks are given Four lysis buffers were compared LB01 (red) Galbraithrsquos (orange)

TrisMgCl2 (green) and Ottorsquos (blue)

682 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

TA

BL

E3

F

low

cyto

met

ric

pa

ram

eter

sa

sses

sed

inea

chsp

ecie

s

FS

(ch

ann

elu

nit

s)S

S(c

han

nel

un

its)

FL

(ch

ann

elu

nit

s)C

V(

)B

F(

)Y

F(n

ucl

eis

1m

g

1)

Sp

ecie

sB

uff

erM

ean

SD

Mea

nS

DM

ean

SD

Mea

nS

DM

ean

SD

Mea

nS

D

Sed

um

bu

rrit

oL

B0

15

76

6a

8 7

24

11 3

7a

2 4

48

11

0 9

a5

93

4 4

8a

0 4

07

69 1

5a

24 9

03

0 0

6a

0 0

04

Gal

bra

ith

41 0

6b

5 1

71

5 3

6b

2 2

99

11

2 1

a2

57

3 5

9ab

0 3

96

60 0

2a

16 6

31

0 0

5b

0 0

04

Tri

sM

gC

l 25

75

0a

8 5

56

13 3

4a

2 6

70

10

3 0

b6

19

5 6

1c

1 0

00

68 8

5a

13 8

74

0 0

5ab

0 0

04

Ott

o8 0

1c

2 1

79

2 5

8c

0 7

87

12

1 4

c3

93

3 2

7b

0 2

88

65 9

6a

6 3

30

05

ab

0 0

06

Oxa

lis

pes

-ca

pra

eL

B0

1ndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashG

alb

rait

h1

71 3

3a

36 4

04

19 7

5a

6 9

20

17

8 5

a5

21

4 1

4a

0 7

78

7 0

5a

4 9

77

1 0

1a

0 3

64

Tri

sM

gC

l 2ndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashO

tto

26 3

2b

4 9

33

3 9

0b

0 6

41

20

0 7

b6

24

3 0

3b

0 4

15

8 9

6a

5 9

08

0 6

2b

0 1

25

Lyc

oper

sico

nes

cule

ntu

mL

B0

11

5 4

2a

2 1

25

2 9

7a

0 4

94

25

7 9

a1

1 5

02 8

8a

0 8

80

21 2

1a

14 1

37

2 4

7a

1 5

12

Gal

bra

ith

21 5

3b

3 7

52

3 4

0a

0 7

13

20

8 5

b4

9 6

12 8

7a

0 7

12

16 8

7a

10 0

36

1 6

9ab

0 8

14

Tri

sM

gC

l 21

7 4

8a

4 9

70

4 7

6b

1 5

62

21

6 7

b2

7 2

73 7

0b

0 8

36

20 5

2a

12 9

18

1 7

2ab

1 7

45

Ott

o3 6

8c

1 5

37

1 9

5c

0 7

66

26

9 9

a1

1 1

72 1

8c

0 2

66

28 4

9b

13 2

54

0 9

1b

0 6

17

Cel

tis

au

stra

lis

LB

01

28 4

7a

4 8

47

11 4

5a

3 4

81

18

2 1

a1

3 1

33 0

2a

0 3

15

7 6

6a

3 5

65

0 5

0a

0 2

24

Gal

bra

ith

25 5

7a

1 8

42

4 5

4b

0 6

37

17

1 3

b7

76

2 8

7a

0 2

59

8 2

7a

3 4

45

0 3

5a

0 1

62

Tri

sM

gC

l 24

1 7

1b

6 9

44

16 0

8c

2 1

57

18

0 3

a1

0 4

42 8

5a

0 4

19

9 1

0b

5 0

85

0 4

9a

0 2

91

Ott

o8 2

0c

1 4

04

7 2

5b

1 7

87

19

2 8

c8

23

3 4

6b

0 4

05

23 9

6c

4 6

15

0 4

9a

0 2

00

Pis

um

sati

vum

LB

01

47 5

4a

1 5

50

10 8

7a

3 0

78

18

3 5

a5

06

2 8

1a

0 4

61

7 1

9a

2 8

23

2 3

3a

0 4

90

Gal

bra

ith

51 9

7a

3 6

24

5 2

9b

1 1

55

17

8 6

a3

36

3 0

2ab

0 4

65

6 3

4a

1 7

65

2 3

0a

0 8

76

Tri

sM

gC

l 25

9 3

7b

4 8

26

16 7

4c

2 9

14

17

7 7

a1

1 8

63 2

9b

0 5

15

6 3

9a

2 7

81

2 5

9a

0 8

94

Ott

o5 7

2c

0 9

93

4 7

9b

1 0

83

19

0 1

a6

06

1 9

4c

0 1

80

9 8

5b

2 6

68

1 1

5b

0 3

67

Fes

tuca

roth

ma

leri

LB

01

57 3

5a

1 8

25

8 5

7a

0 7

99

19

6 1

a6

07

3 2

4a

0 4

52

14 2

3ab

3 2

83

0 4

2a

0 1

82

Gal

bra

ith

61 0

3a

2 2

50

6 8

4b

0 6

49

18

2 7

b7

15

3 3

3ab

0 4

59

15 0

7a

1 9

74

0 2

7b

0 1

31

Tri

sM

gC

l 26

9 8

5a

1 6

03

17 7

2c

0 8

15

18

5 1

b8

06

3 6

6ab

0 3

12

17 3

0b

5 7

01

0 5

4a

0 1

95

Ott

o1

3 8

4b

2 8

46

8 5

5a

1 6

03

21

0 9

c6

77

3 7

6b

0 6

13

23 8

6c

12 9

92

0 1

1c

0 0

66

Vic

iafa

ba

LB

01

10

4 8

2a

6 0

21

11 6

1a

1 7

42

20

1 5

a4

45

2 4

0a

0 1

78

6 3

6a

2 3

26

0 8

7a

0 2

90

Ga

lbra

ith

11

4 5

5b

2 7

87

8 5

8b

1 3

06

19

6 9

a4

88

2 4

1a

0 1

48

5 8

0a

0 8

06

0 8

2a

0 2

35

Tri

sM

gC

l 21

15 4

5b

5 1

94

20 3

6c

1 4

43

19

1 5

a9

10

2 9

1b

0 2

72

6 8

5a

4 6

09

1 3

0b

0 3

45

Ott

o2

1 5

6c

8 7

21

14 0

5a

7 5

89

18

4 2

a1

6 9

22 2

2a

0 5

32

4 3

5a

1 7

51

0 4

5c

0 1

8

Val

ues

are

giv

enas

mea

nan

dst

and

ard

dev

iati

on

of

the

mea

n(S

D)

of

forw

ard

scat

ter

(FS

ch

ann

elu

nit

s)s

ide

scat

ter

(SS

chan

nel

un

its)

flu

ore

scen

ce(F

Lc

han

nel

un

its)

coef

fici

ento

fv

aria

tio

no

fG

0G

1D

NA

pea

k(C

V

)b

ack

gro

un

dfa

cto

r(B

F

)an

dn

ucl

eary

ield

fact

or(Y

Fn

ucl

eisndash

1m

gndash1)

Mea

ns

foll

ow

edb

yth

esa

me

lett

er(a

bo

rc)

are

no

tsta

tist

ical

lyd

iffe

ren

tacc

ord

ing

toth

em

ult

iple

com

par

ison

Ho

lmndashS

idak

test

atPlt

00

5

Buff

er(s

)th

atp

erfo

rmed

bes

tin

each

spec

ies

are

sho

wn

inb

old

typ

e

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 683

significantly better than Galbraithrsquos (Fig 1C) with highermean FL intensities and lower CV values (Table 3)Figure 1C also shows the histogram obtained after nuclearisolation with TrisMgCl2 buffer In this case a G0G1 peakwith an unacceptable CV value (974 ) and considerableloss of fluorescence was obtained A similar result wasobtained for nuclei isolated with LB01

Lycopersicon esculentum

Acceptable results were obtained with all four buffersTwo buffer groups with statistically significant differencesin FL were obtained Samples prepared with Galbraithrsquosand TrisMgCl2 buffers yielded lower mean FL valuesthan their counterparts prepared with LB01 and Ottorsquosbuffers (Fig 1D) The FL values were highly heterogen-eous among buffers Ottorsquos and LB01 were the bestbuffers with Ottorsquos providing lower CV values and higherFL but lower YF and higher BF than LB01 (Table 3)

Celtis australis

Low CV values (lt30 ) and low DF (lt100 ) wereobserved for this species Nevertheless it was not easy toobtain suffiecient nuclei and the second lowest YF valueswere observed in this species With regard to FL onlyLB01 and TrisMgCl2 buffers were not statistically dif-ferent with nuclei isolated from Galbraithrsquos buffer pre-senting the lowest mean FL and Ottorsquos the highest meanFL All parameters combined TrisMgCl2 and LB01 werethe best buffers as nuclei in TrisMgCl2 presented thelowest CV values and similar FL intensity and YF valuesas in LB01 (Table 3 Fig 1E)

Pisum sativum

In this species all buffers performed reasonably wellThe lowest FL intensities were obtained for nucleiisolated with TrisMgCl2 although no statistically signi-ficant differences were observed among the tested buffersThe best buffer for this species was Ottorsquos (Table 3Fig 1F) Among the investigated species P sativum wasthe one with the highest YF

Festuca rothmaleri

With the exception of CV values and YF overall resultsfor this species were satisfying with all four buffers testedNo statistically significant differences were found regard-ing the FL of nuclei isolated in TrisMgCl2 or Galbraithrsquosbuffers as nuclei from both buffers presented low FLvalues The best buffer for this species was LB01 (Table 3Fig 1G)

Vicia faba

This species gave the lowest CV and DF values amongthose tested Generally the results were very similar tothose obtained for P sativum FL was similar for all thebuffers and no statistically significant differences wereobserved Interestingly Vicia faba was the only species

for which Ottorsquos was not the buffer with the highest FL(Fig 1H) Despite low CV values of DNA peaks thisbuffer gave the worst results with the G0G1 peak shiftedtowards the lower channels This was due to fluorescenceinstability which decreased over time In all other speciesand with the remaining buffers FL was stable after 10 minof incubation with PI (Fig 1A) Results obtained withLB01 and Galbraithrsquos buffers were similar and the best forthis species (Table 3)

Analysis of FS and SS

Generally FS and SS values differed considerablyamong the test buffers Nevertheless in most of thespecies analysis of scatter parameters revealed that two ofthe four buffers were more similar than the others and nostatistically significant differences were observed betweenthem Interestingly and with the exception of S burritobuffers that had similar FS mean values were not thosethat had similar SS values This can be seen on cytogramsof FS vs SS obtained in P sativum (Fig 2) In thisspecies and for FS no statistically significant differenceswere observed between LB01 and Galbraithrsquos buffers forSS no difference was observed for Galbraithrsquos and Ottorsquosbuffers Interestingly simultaneous analysis of FS and SSresulted in a species-specific pattern that could be used asa fingerprint of each buffer

Effect of operator and date of analysis

In most cases no statistically significant differenceswere observed between operators and dates of analysisOperators provided more homogeneous results than datesin the former statistically significant differences wereobserved only for BF and YF in more than one speciesSignificant differences between the dates of analysis weredetected in some species for FS SS CV and BF Withregard to FL one of the most important parameters inFCM analyses significant among-day differences weredetected only in C australis and differences betweenoperators occurred only in L esculentum The two speciesmore susceptible to differences were L esculentum andV faba (Table 4)

Hierarchical cluster analysis

With the exception of the results for S burrito the fourbuffers fell into two highly dissimilar and consistentclusters one with Ottorsquos buffer and the other with theremaining buffers In S burrito (Fig 3A) one cluster wasformed with Ottorsquos and Galbraithrsquos buffers while theother comprised TrisMgCl2 and LB01 buffers InC australis (Fig 3C) Galbraithrsquos buffer was more similarto LB01 and TrisMgCl2 buffers than to Ottorsquos buffer inaddition lsquoTrisMgCl2 Arsquo was more similar to LB01 thanto lsquoTrisMgCl2 Brsquo In P sativum lsquoGalbraithrsquos Arsquo wasmore related to LB01 than to lsquoGalbraithrsquos Brsquo (Fig 3D)whereas for F rothmaleri lsquoLB01 Arsquo was more similar toGalbraithrsquos than to lsquoLB01 Brsquo (Fig 3E) In L esculentumtwo groups were formed from the second clusterTrisMgCl2 and lsquoGalbraith Arsquo formed one group and

684 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

FS log

C

SS lo

g

1 10 100 10000middot1

0middot1

1

10

100

1000

Meanchannel

FSSS 18middot2

TrisMgCl2

37middot8735middot6960middot7()

FPCV

Meanchannel

FSSS

LB01ASS

log

0middot1

1

10

100

1000

10middot045middot4

30middot0226middot09()

FPCV

FSSS 3middot1 37middot24

29middot936middot0

Ottorsquos

FS log

D

1 10 100 10000middot1

Meanchannel ()

FPCV

FS 52middot1 28middot42SS 5middot2 39middot04

GalbraithsB

Meanchannel ()

FPCV

F I G 2 Cytograms of forward scatter (logarithmic scale FS log) vs side scatter (logarithmic scale SS log) obtained after the analysis of Pisum sativum nucleiisolated with four lysis buffers (A) LB01 (B) Galbraithrsquos (C) TrisMgCl2 and (D) Ottorsquos The mean channel number and full peak coefficient of variation

(FPCV ) are given for both parameters Note that the patterns of distributions are characteristic for each buffer

T A B L E 4 Three-way ANOVA analysis of the dates (D) and operators (O) for the parameters evaluated on each species

FS SS FL CV BF YF

Species D O D O D O D O D O D O

Sedum burrito ns ns ns ns ns ns ns ns s ns ns nsOxalis pes-caprae s ns s ns ns ns s ns ns ns ns nsLycopersicon esculentum s ns ns ns ns s s ns s s s sCeltis australis ns ns ns ns s ns ns ns s ns ns nsPisum sativum ns ns s ns ns ns s ns s ns ns nsFestuca rothmaleri s ns ns ns ns ns ns ns ns s ns nsVicia faba ns s s s ns ns ns ns ns ns s s

Forward scatter FS side scatter SS fluorescence FL coefficient of variation of the G0G1 DNA peak CV background factor BF and nuclearyield factor YF

ns not significantly different s significantly different at P lt 005

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 685

LB01 and lsquoGalbraith Brsquo formed the other (Fig 3B) InV faba (Fig 3F) LB01 and Galbraithrsquos formed one groupowing to greater similarities between operators thanwithin each buffer As previously stated in O pes-capraeonly two buffers (Ottorsquos and Galbraithrsquos) providedacceptable results with considerable dissimilaritiesbetween them (data not shown)

DISCUSSION

Four nuclear isolation buffers were used with a setof species that were chosen to represent different types

of leaf tissues and different nuclear DNA content(130ndash2690 pg per 2C DNA) As expected popularDNA reference standards (P sativum V faba andL esculentum) were easy to work with Neverthelessnot all buffers worked well with L esculentumpossibly owing to the presence of cytosolic compoundsHowever as the aim of the study was to compare theperformance of basic buffer formulas the use of additivesthat could counteract the negative effects of cytosol wasavoided

Overall the best results were obtained with P sativumAs its 2C nuclear DNA content is in the middle of theknown range of genome sizes in plants this observation

A

C

E

B

D

F

Dissimilarity Dissimilarity

2middot0 1middot5 1middot0 0middot5 0middot02middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0 2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths A

Galbraiths B

TrisMgCl2 A

TrisMgCl2 B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

F I G 3 Dendrograms obtained after hierarchical cluster analysis of the following species (A) Sedum burrito (B) Lycopersicon esculentum (C) Celtisaustralis (D) Pisum sativum (E) Festuca rothmaleri (F) Vicia faba according to the parameters FS SS FL CV BF and YF With the exception of S burrito

the four buffers fell into two highly dissimilar clusters of the same buffers

686 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

underlines its position as one of the best standards forplant DNA FCM By contrast Sedum burrito was themost difficult species to analyse due to low DNA contentoccurrence of polysomaty and high leaf water contentwhich hampered sample preparation and analysis More-over its tissues may contain tannins (J Greilhuber perscomm 2006)

In O pes-caprae cytosol of which is highly acidic(pH lt 30) measurable samples could be prepared usingonly Ottorsquos and Galbraithrsquos buffers with Ottorsquos beinghighly superior This is in accordance with the results ofEmshwiller (2002) who analysed ploidy levels in OxalisAfter testing LB01 MgSO4 and Ottorsquos buffers sheobtained measurable samples only with Ottorsquos The formertwo buffers failed presumably as a result of the acidic cellsap which may have exceeded the buffering capacity ofLB01 and MgSO4

Celtis australis was the only woody plant speciesincluded in the present study and was chosen because ofthe presence of mucilaginous compounds (Rodriguez et al2005a) which increase sample viscosity restrain nucleirelease and cause their clumping Interestingly this wasthe only species for which TrisMgCl2 was the bestperforming buffer This was probably because of a higherconcentration of the non-ionic detergent which sup-pressed the effect of mucilaginous compounds Leaftissues of F rothmaleri were particularly hard anddifficult to chop In addition preliminary experimentswith this species revealed the presence of cytosoliccompounds which would be expected to interfere withDNA staining However given the pattern of FS and SSobtained the so-called lsquotannic acid effectrsquo (Loureiro et al2006) was absent indicating that these compounds werereleased at low concentration or not at all

In order to compare the performance of nuclear isolationbuffers a set of parameters was carefully selected toevaluate sample quality Furthermore stability of fluores-cence and light scatter properties of isolated nuclei overtime were confirmed Among the parameters chosen thecoefficient of variation of DNA peaks (CV) is of majorimportance Galbraith et al (2002) considered 50 asthe maximum acceptable CV value in plant DNA flowcytometry With the exception of TrisMgCl2 buffer whenused with S burrito all mean CV values obtained hereinwere below this limit Ideally a nuclei sample should befree of cell and tissue debris Emshwiller (2002) noted acorrelation between CV and background noise In thepresent study this correlation was found only in somespecies (eg F rothmaleri) Rather the results heresuggest that the extent of background debris is determinedby the buffer itself For example a higher detergentconcentration in a buffer could lead to chloroplast lysisand consequently decrease the number of fluorescentparticles contributing to debris signals (Coba de la Penaand Brown 2001)

LB01 buffer provided very good results with theexception of O pes-caprae and S burrito low CV highFL and YF values were obtained with this buffer Highnuclei FL intensities obtained with this buffer weredefinitely an advantage as compared with TrisMgCl2 and

Galbraithrsquos buffers Galbraithrsquos buffer seems well bal-anced as acceptable results were achieved in all speciesSurprisingly the buffer gave reasonable results also withO pes-caprae which is characterized by highly acidiccytosol The presence of MOPS in the buffer may shedlight on these findings as it has a pKa of 72 and a betterbuffering capacity than TRIS with a pKa of 81 Adisadvantage of this buffer was the low fluorescenceintensity of nuclei Collectively TrisMgCl2 was the worstperforming buffer Nevertheless it provided the bestresults for C australis This may have been due to thehigher concentration of non-ionic detergent (Table 1)which counteracted the agglutinating effect of mucilagin-ous compounds and decreased sample viscosity As withGalbraithrsquos buffer low FL values were obtained withTrisMgCl2

Ottorsquos buffer is unique in that sample preparationinvolves two steps The results obtained with Ottorsquos bufferwere excellent in many species especially those withlower nuclear DNA content Dolezel and Bartos (2005)highlighted the quality of this buffer which is known toprovide DNA content histograms with unequalled resolu-tion One explanation for this may be that citric acidimproves chromatin accessibility and lsquohomogenizesrsquo chro-matin structure eliminating differences in staining intens-ity among nuclei with the same DNA content but differentchromatin state This could explain the highest FL andlowest CV values as observed here Another characteristicof this buffer was that light scatter values (especially FS)were significantly lower than those of other buffers Thismay be explained by the action of citric acid whichcauses nuclei fixation (Dolezel and Bartos 2005) It isnoteworthy that the pattern of FS vs SS distribution wassimilar to that obtained when analysing nuclei fixed withformaldehyde (Rodriguez et al 2005b) Althoughproviding excellent results this buffer gave the highestBF and lowest YF values The former can be explained bynuclei instability after the addition of Otto II After thisstep nuclei deteriorate rapidly in some species (J Dolezelunpubl res) The lowest YF values could be due to thedetergent (Tween 20) which is weaker than Triton X-100thus having a lower capacity to release nuclei

An important consequence of the observation ofdifferent fluorescence values obtained with the differentbuffers is that different fluorescence ratios may beexpected with the same species pair if the samples areprepared in different buffers In fact Dolezel et al (1998)observed differences in peak ratios obtained in differentlaboratories Further studies are needed to confirm thisobservation as it may have important consequences forestimation of genome size

The present results showed that well-defined popula-tions of nuclei could be observed on cytograms of FS vsSS With the exception of S burrito for which LB01 andTrisMgCl2 buffers did not present statistically significantdifferences for both parameters the analysis of FS and SSprovided a fingerprint pattern for each buffer Loureiroet al (2006) showed that these parameters were sensitiveto the presence of tannic acid a cytosolic compoundcommon in plants and recommended the analysis of light

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 687

scatter to verify suitability of particular samples for plantDNA FCM

As nuclei samples are prepared manually it wasimportant to assess the effect of date of analysis andoperator on sample quality variation Date was found to bemore significant than the effect of different operatorsespecially for FS SS CV and DF YF which depends onthe way the sample is chopped and hence on the operatordid not vary It was expected that FL which is a primarysource of data in FCM analysis would not depend on theoperator or the day of chopping This was confirmed in allspecies except L esculentum and C australis In theformer species a significant variation was obtainedbetween operators These differences could be explainedby variable results obtained with Galbraithrsquos buffer InC australis significant differences were obtained amongdates In this case significant differences were due toresults obtained on one single day Emshwiller (2002)found significant differences when multiple preparationsfrom the same plant were run on different days Thesedifferences and those found in the present study wereprobably due to instrument drift (Kudo and Kimura2001) To avoid this type of error several authors haverecommended that each measurement be repeated at leastthree times on three different days (Suda 2004 Dolezeland Bartos 2005)

This is the first study that has systematically comparednuclear isolation buffers for DNA FCM The results showthat none of the buffers works best with all species andstatistically significant differences in sample quality wereobserved among the four buffers The results obtainedwith different species and contrasting types of leaf tissuescan serve as guidelines in buffer selection Nevertheless itis recommend that a range of buffers be tested whenworking with a new species and tissue type Once the bestbuffer has been identified additives should be tested ifrequired to suppress negative effects of phenols and othercytosolic compounds

ACKNOWLEDGEMENTS

We are grateful to Prof Johann Greilhuber and Dr JanSuda for critical reading of the manuscript This work wassupported by FCT project ref POCTIAGR606722004JL was supported by the Fellowship FCTBD90032002

LITERATURE CITEDBennett MD Leitch I 2005 Genome size evolution in plants In

Gregory T ed The evolution of the genome London ElsevierAcademic Press 89ndash162

Bergounioux C Perennes C Brown SC Gadal P 1988 Cytometricanalysis of growth regulator-dependent transcription and cell cycleprogression in Petunia protoplast cultures Planta 175 500ndash505

Bergounioux C Brown SC Petit PX 1992 Flow cytometry and plantprotoplast cell biology Physiologia Plantarum 85 374ndash386

Castro S Loureiro J Santos C Ayensa G Navarro L 2005 Differentploidy levels could explain reproductive matter of invasive Oxalispes-caprae L in Mediterranean regions In Brunel S ed Invasiveplants in Mediterranean type regions of the world StrasbourgCedex France Council of Europe Publishing 235

Coba de la Pena T Brown SC 2001 Cytometry and fluorimetryIn Hawes C Satiat-Jeunemaıtre B eds Plant cell biology

a practical approach New York Oxford University Press85ndash106

Dolezel J Bartos J 2005 Plant DNA flow cytometry and estimation ofnuclear genome size Annals of Botany 95 99ndash110

Dolezel J Gohde W 1995 Sex determination in dioecious plantsMelandrium album and M rubrum using high-resolution flowcytometry Cytometry 19 103ndash106

Dolezel J Binarova P Lucretti S 1989 Analysis of nuclear DNAcontent in plant cells by flow cytometry Biologia Plantarum 31113ndash120

Dolezel J Sgorbati S Lucretti S 1992 Comparison of three DNAfluorochromes for flow cytometric estimation of nuclear DNAcontent in plants Physiologia Plantarum 85 625ndash631

Dolezel J Greilhuber J Lucretti S Meister A Lysak M Nardi LObermayer R 1998 Plant genome size estimation byflow cytometry inter-laboratory comparison Annals of Botany 8217ndash26

Dolezel J Bartos J Voglmayr H Greilhuber J 2003 Nuclear DNAcontent and genome size of trout and human Cytometry 51A127ndash128

Emshwiller E 2002 Ploidy levels among species in the lsquoOxalis tuberosaAlliancersquo as inferred by flow cytometry Annals of Botany 89741ndash753

Galbraith DW 2004 Cytometry and plant sciences a personalretrospective Cytometry 58A 37ndash44

Galbraith DW Harkins KR Maddox JM Ayres NM Sharma DPFiroozabady E 1983 Rapid flow cytometric analysis of the cell-cycle in intact plant-tissues Science 220 1049ndash1051

Galbraith DW Lambert GM Macas J Dolezel J 2002 Analysis ofnuclear DNA content and ploidy in higher plants In Robinson JPDarzynkiewicz Z Dean PN Dressler LG Rabinovitch PS StewartCV Tanke HJ Wheeless LL eds Current protocols in cytometryNew York John Wiley amp Sons 761ndash7622

Heller FO 1973 DNS-Bestimmung an Keimwurzeln von Vicia faba Lmit Hilfe der Impulscytophotometrie Bericht der DeutschenBotanischen Gesellschaft 86 437ndash441

Hintze J 2004 NCSS and PASS Kaysville Utah Number CruncherStatistical Systems

Kudo N Kimura Y 2001 Flow cytometric evidence for endopolyploidyin seedlings of some Brassica species Theoretical and AppliedGenetics 102 104ndash110

Loureiro J Rodriguez E Dolezel J Santos C 2006 Flow cytometricand microscopic analysis of the effect of tannic acid on plantnuclei and estimation of DNA content Annals of Botany 98515ndash527

Noirot M Barre P Louarn J Duperray C Hamon S 2000 Nucleusndashcytosol interactionsmdashA source of stoichiometric error in flowcytometric estimation of nuclear DNA content in plants Annals ofBotany 86 309ndash316

Noirot M Barre P Duperray C Louarn J Hamon S 2003 Effects ofcaffeine and chlorogenic acid on propidium iodide accessibility toDNA consequences on genome size evaluation in coffee treeAnnals of Botany 92 259ndash264

Otto F 1992 Preparation and staining of cells for high-resolution DNAanalysis In Radbruch A ed Flow cytometry and cell sortingBerlin Springer-Verlag 101ndash104

Pfosser M Amon A Lelley T Heberle-Bors E 1995 Evaluation ofsensitivity of flow cytometry in detecting aneuploidy in wheat usingdisomic and ditelosomic wheat-rye addition lines Cytometry 21387ndash393

Pinto G Loureiro J Lopes T Santos C 2004 Analysis of the geneticstability of Eucalyptus globulus Labill somatic embryos by flowcytometry Theoretical and Applied Genetics 109 580ndash587

Rodriguez E Gomes A Loureiro J Dolezel J Santos C 2005aEstimation of the genome size of the Iberian Peninsula Ulmaceae In9th Iberian Congress of Cytometry Book of Abstracts PortoPortugal 37

Rodriguez E Loureiro J Dolezel J Santos C 2005b The adequacy ofusing formaldehyde fixation for nuclear DNA content analyses ofplant material In 9th Iberian Congress of Cytometry Book ofAbstracts Porto Portugal PO120-PB

Shapiro H 2004 Practical flow cytometry 4th edn New YorkWiley-Liss

688 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

Suda J 2004 An employment of flow cytometry into plant biosystematicsPhD thesis Charles University Czech Republic Available at httpwwwibotcasczfcmsudapresentationdisertationpdf

Trotter J 2000 WinMDI version 28 Available at httpfacsscrippsedusoftwarehtml

Ulrich I Ulrich W 1986 Flow cytometric DNA analysis of plantprotoplasts with DAPI Zeitschrift fur Naturforschung 411052ndash1056

Ulrich I Fritz B Ulrich W 1988 Application of DNA fluorochromes forflow cytometric DNA analysis of plant protoplasts Plant Science 55151ndash158

Walker D Monino I Correal E 2006 Genome size inBituminaria bituminosa (L) CH Stirton (Fabaceae) populationsseparation of lsquotruersquo differences from environmental effects on DNAdetermination Environmental and Experimental Botany 55258ndash265

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 689

background factor (DF to assess sample quality) and anuclear yield factor (YF to compare the amount of nucleiin suspension independently of the amount of leaftissue used)

CV () was calculated using the following formula

Half peak CV eth THORN

frac14 4246 middot width of peak at half the peak height

peak positioneth1THORN

DF () was calculated as follows

DF eth THORN frac14total number of particles total number of intact nuclei

total number of particlesmiddot 100

eth2THORN

DF increases as debris increasesYF (nuclei sndash1 mgndash1) was calculated using the formula

YF nucleis1mg1

frac14 total number of intact nuclei=number of seconds of run seth THORNweight of tissue mgeth THORN

eth3THORN

The flow rate was defined as low and was kept constantthroughout the experiment

The analysis was performed on three different days andby two operators (labelled here as A and B) Fivereplicates were performed per operator for each buffer andin each replicate at least 5000 nuclei were analysedHistograms of FL obtained with the best and worstperforming buffers were overlaid using WinMDI software(Trotter 2000) (Fig 1)

For S burrito nuclear genome size was estimated usingL esculentum lsquoStupickersquo (2C = 196 Dolezel et al 1992)as internal reference standard according to the followingformula

S burrito 2C nuclear DNA content pgeth THORN

frac14 S burrito G0=G1 peak mean

L esculentum G0=G1 peak meanmiddot 196 eth4THORN

Conversion of mass values into base-pair numbers wasachieved according to the factor 1 pg = 978 Mbp (Dolezelet al 2003)

Statistical analyses

Statistical analyses were performed using a three-wayANOVA (SigmaStat for Windows version 311) to assessfor differences among buffers and dates and betweenoperators When treatments were significantly different aHolmndashSidak multiple comparison test was used for pair-wise comparison Hierarchical cluster analyses wereperformed using NCSS 2004 (Hintze 2004) Dendrogramshighlighting dissimilarities among buffers and betweenoperators were obtained using FS SS FL CV BF andYF The Unweighted Pair Group Method with Arithmeticmean (UPGMA) was followed in each species as ityielded the highest co-phenetic correlation coefficient

RESULTS

With the exception of O pes-caprae for which meas-urable samples were only obtained with Ottorsquos andGalbraithrsquos buffers all buffers yielded acceptable histo-grams with all species tested In any analysis it waspossible to isolate a reasonable number of nuclei(approximately 20ndash60 nuclei per second in a low-speedconfiguration) and obtain well-defined histograms withDNA peaks with acceptable CV values (lt50 Galbraithet al 2002 Fig 1 Table 3) Table 3 indicates the bestperforming buffer(s) for each species The selectioncriteria were the highest FL and YF values and thelowest CV and DF values

Sedum burrito

This species was investigated because of its expectedsmall genome size and fleshy leaves FCM analysisrevealed the occurrence of polysomaty as demonstratedby the presence of discrete populations of nuclei withDNA contents of 2C 4C 8C 16C and higher In orderto observe a higher number of endopolyploidy

T A B L E 2 Four nuclear isolation buffers most frequently used in plant DNA flow cytometry

Buffer Composition Reference

Galbraith 45 mM MgCl2 30 mM sodium citrate 20 mM MOPS01 (vv) Triton X-100 pH 70

Galbraith et al (1983)

LB01 15 mM Tris 2 mM Na2EDTA 05 mM spermine4HCl80 mM KCl 20 mM NaCl 01 (vv) TritonX-100 pH 80dagger

Dolezel et al (1989)

Ottoz Otto I 100 mM citric acid 05 (vv) Tween 20 (pH 2ndash3)Otto II 400 mM Na2PO4

12H2O (pH 8ndash9)Otto (1992) Dolezel and Gohde (1995)

TrisMgCl2 200 mM Tris 4 mM MgCl26H2O 05 (vv)Triton X-100 pH 75

Pfosser et al (1995)

Final concentrations are givendagger The buffer formula contains 15 mM mercaptoethanol However as the other buffers were used without additives that suppress the negative effect of

phenols and other cytosolic compounds LB01 was used without mercaptoethanolz pH of the buffers is not adjusted The nuclei are isolated in Otto I buffer DNA staining is done in a mixture of Otto I and Otto II (1 2) with a final volume

of 1 mL

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 681

levels instrument gain was set such that the 2C peak wasapproximately on channel 100 The 2C nuclear DNAcontent was estimated as 130 6 009 pg (2C = 1271 Mbp)this is the first estimate for this species (Table 1) Com-parative analysis of the four buffers revealed that Ottorsquoswas the best in this species In general YF values were low

(the lowest values from all the test species) whereas DFvalues were high (approx 650 Table 3 Fig 1B)

Oxalis pes-caprae

Only Ottorsquos and Galbraithrsquos buffers provided acceptableresults with this species Ottorsquos was clearly and

0 75 1500

25

1023

43

3

2

2

2

2

2

2

1

1

1

1

1

PI

Peak FL CV() 1 108middot7 5middot87 2 118middot7 3middot00 3 206middot8 4middot10 4 231middot0 2middot55

TrismiddotMgCl2 bufferGreenOttorsquos bufferBlue

Peak FL CV() 1 97middot6 9middot74 2 187middot0 3middot50 3 201middot1 2middot69

TrismiddotMgCl2 bufferGreenGalbraithrsquos bufferOrangeOttorsquos bufferBlue

Peak FL CV() 1 226middot1 4middot09 2 252middot1 1middot96

TrismiddotMgCl2 bufferGreenLB01 bufferRed

Peak FL CV() 1 190middot3 2middot21 2 205middot8 3middot90

TrismiddotMgCl2 bufferGreenOttorsquos bufferBlue

Peak FL CV() 1 184middot1 2middot78 2 213middot8 3middot48

LB01 bufferRedOttorsquos bufferBlue

Peak FL CV() 1 168middot4 3middot32 2 202middot6 2middot10

Ottorsquos bufferBlueLB01 bufferRed

Peak FL CV() 1 180middot5 1middot52 2 188middot1 3middot07

Ottorsquos bufferBlueTrismiddotMgCl2 bufferGreen

0

50

75

100

125

Time (s)

Ottorsquos buffer

PI

225

0

450

0

512

128

00 PI 1023

300

Cou

nt

Cou

ntC

ount

Cou

nt

0

1024

Cou

nt

0

400

1

0

512

Cou

nt

2

1

1023PI0

512

0

Cou

nt

A B

C D

E F

G H

F I G 1 Cytogram of fluorescence intensity (PI relative channel numbers) vs time of Pisum sativum nuclei isolated with Ottorsquos buffer (A) and histograms ofrelative fluorescence intensities (BndashH) which show overlays of distributions obtained with the best and worst performing buffer for each species (B) Sedumburrito (C) Oxalis pes-caprae (D) Lycopersicon esculentum (E) Celtis australis (F) Pisum sativum (G) Festuca rothmaleri and (H) Vicia faba Relativemean channel numbers and coefficients of variation (CV ) of G0G1 peaks are given Four lysis buffers were compared LB01 (red) Galbraithrsquos (orange)

TrisMgCl2 (green) and Ottorsquos (blue)

682 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

TA

BL

E3

F

low

cyto

met

ric

pa

ram

eter

sa

sses

sed

inea

chsp

ecie

s

FS

(ch

ann

elu

nit

s)S

S(c

han

nel

un

its)

FL

(ch

ann

elu

nit

s)C

V(

)B

F(

)Y

F(n

ucl

eis

1m

g

1)

Sp

ecie

sB

uff

erM

ean

SD

Mea

nS

DM

ean

SD

Mea

nS

DM

ean

SD

Mea

nS

D

Sed

um

bu

rrit

oL

B0

15

76

6a

8 7

24

11 3

7a

2 4

48

11

0 9

a5

93

4 4

8a

0 4

07

69 1

5a

24 9

03

0 0

6a

0 0

04

Gal

bra

ith

41 0

6b

5 1

71

5 3

6b

2 2

99

11

2 1

a2

57

3 5

9ab

0 3

96

60 0

2a

16 6

31

0 0

5b

0 0

04

Tri

sM

gC

l 25

75

0a

8 5

56

13 3

4a

2 6

70

10

3 0

b6

19

5 6

1c

1 0

00

68 8

5a

13 8

74

0 0

5ab

0 0

04

Ott

o8 0

1c

2 1

79

2 5

8c

0 7

87

12

1 4

c3

93

3 2

7b

0 2

88

65 9

6a

6 3

30

05

ab

0 0

06

Oxa

lis

pes

-ca

pra

eL

B0

1ndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashG

alb

rait

h1

71 3

3a

36 4

04

19 7

5a

6 9

20

17

8 5

a5

21

4 1

4a

0 7

78

7 0

5a

4 9

77

1 0

1a

0 3

64

Tri

sM

gC

l 2ndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashO

tto

26 3

2b

4 9

33

3 9

0b

0 6

41

20

0 7

b6

24

3 0

3b

0 4

15

8 9

6a

5 9

08

0 6

2b

0 1

25

Lyc

oper

sico

nes

cule

ntu

mL

B0

11

5 4

2a

2 1

25

2 9

7a

0 4

94

25

7 9

a1

1 5

02 8

8a

0 8

80

21 2

1a

14 1

37

2 4

7a

1 5

12

Gal

bra

ith

21 5

3b

3 7

52

3 4

0a

0 7

13

20

8 5

b4

9 6

12 8

7a

0 7

12

16 8

7a

10 0

36

1 6

9ab

0 8

14

Tri

sM

gC

l 21

7 4

8a

4 9

70

4 7

6b

1 5

62

21

6 7

b2

7 2

73 7

0b

0 8

36

20 5

2a

12 9

18

1 7

2ab

1 7

45

Ott

o3 6

8c

1 5

37

1 9

5c

0 7

66

26

9 9

a1

1 1

72 1

8c

0 2

66

28 4

9b

13 2

54

0 9

1b

0 6

17

Cel

tis

au

stra

lis

LB

01

28 4

7a

4 8

47

11 4

5a

3 4

81

18

2 1

a1

3 1

33 0

2a

0 3

15

7 6

6a

3 5

65

0 5

0a

0 2

24

Gal

bra

ith

25 5

7a

1 8

42

4 5

4b

0 6

37

17

1 3

b7

76

2 8

7a

0 2

59

8 2

7a

3 4

45

0 3

5a

0 1

62

Tri

sM

gC

l 24

1 7

1b

6 9

44

16 0

8c

2 1

57

18

0 3

a1

0 4

42 8

5a

0 4

19

9 1

0b

5 0

85

0 4

9a

0 2

91

Ott

o8 2

0c

1 4

04

7 2

5b

1 7

87

19

2 8

c8

23

3 4

6b

0 4

05

23 9

6c

4 6

15

0 4

9a

0 2

00

Pis

um

sati

vum

LB

01

47 5

4a

1 5

50

10 8

7a

3 0

78

18

3 5

a5

06

2 8

1a

0 4

61

7 1

9a

2 8

23

2 3

3a

0 4

90

Gal

bra

ith

51 9

7a

3 6

24

5 2

9b

1 1

55

17

8 6

a3

36

3 0

2ab

0 4

65

6 3

4a

1 7

65

2 3

0a

0 8

76

Tri

sM

gC

l 25

9 3

7b

4 8

26

16 7

4c

2 9

14

17

7 7

a1

1 8

63 2

9b

0 5

15

6 3

9a

2 7

81

2 5

9a

0 8

94

Ott

o5 7

2c

0 9

93

4 7

9b

1 0

83

19

0 1

a6

06

1 9

4c

0 1

80

9 8

5b

2 6

68

1 1

5b

0 3

67

Fes

tuca

roth

ma

leri

LB

01

57 3

5a

1 8

25

8 5

7a

0 7

99

19

6 1

a6

07

3 2

4a

0 4

52

14 2

3ab

3 2

83

0 4

2a

0 1

82

Gal

bra

ith

61 0

3a

2 2

50

6 8

4b

0 6

49

18

2 7

b7

15

3 3

3ab

0 4

59

15 0

7a

1 9

74

0 2

7b

0 1

31

Tri

sM

gC

l 26

9 8

5a

1 6

03

17 7

2c

0 8

15

18

5 1

b8

06

3 6

6ab

0 3

12

17 3

0b

5 7

01

0 5

4a

0 1

95

Ott

o1

3 8

4b

2 8

46

8 5

5a

1 6

03

21

0 9

c6

77

3 7

6b

0 6

13

23 8

6c

12 9

92

0 1

1c

0 0

66

Vic

iafa

ba

LB

01

10

4 8

2a

6 0

21

11 6

1a

1 7

42

20

1 5

a4

45

2 4

0a

0 1

78

6 3

6a

2 3

26

0 8

7a

0 2

90

Ga

lbra

ith

11

4 5

5b

2 7

87

8 5

8b

1 3

06

19

6 9

a4

88

2 4

1a

0 1

48

5 8

0a

0 8

06

0 8

2a

0 2

35

Tri

sM

gC

l 21

15 4

5b

5 1

94

20 3

6c

1 4

43

19

1 5

a9

10

2 9

1b

0 2

72

6 8

5a

4 6

09

1 3

0b

0 3

45

Ott

o2

1 5

6c

8 7

21

14 0

5a

7 5

89

18

4 2

a1

6 9

22 2

2a

0 5

32

4 3

5a

1 7

51

0 4

5c

0 1

8

Val

ues

are

giv

enas

mea

nan

dst

and

ard

dev

iati

on

of

the

mea

n(S

D)

of

forw

ard

scat

ter

(FS

ch

ann

elu

nit

s)s

ide

scat

ter

(SS

chan

nel

un

its)

flu

ore

scen

ce(F

Lc

han

nel

un

its)

coef

fici

ento

fv

aria

tio

no

fG

0G

1D

NA

pea

k(C

V

)b

ack

gro

un

dfa

cto

r(B

F

)an

dn

ucl

eary

ield

fact

or(Y

Fn

ucl

eisndash

1m

gndash1)

Mea

ns

foll

ow

edb

yth

esa

me

lett

er(a

bo

rc)

are

no

tsta

tist

ical

lyd

iffe

ren

tacc

ord

ing

toth

em

ult

iple

com

par

ison

Ho

lmndashS

idak

test

atPlt

00

5

Buff

er(s

)th

atp

erfo

rmed

bes

tin

each

spec

ies

are

sho

wn

inb

old

typ

e

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 683

significantly better than Galbraithrsquos (Fig 1C) with highermean FL intensities and lower CV values (Table 3)Figure 1C also shows the histogram obtained after nuclearisolation with TrisMgCl2 buffer In this case a G0G1 peakwith an unacceptable CV value (974 ) and considerableloss of fluorescence was obtained A similar result wasobtained for nuclei isolated with LB01

Lycopersicon esculentum

Acceptable results were obtained with all four buffersTwo buffer groups with statistically significant differencesin FL were obtained Samples prepared with Galbraithrsquosand TrisMgCl2 buffers yielded lower mean FL valuesthan their counterparts prepared with LB01 and Ottorsquosbuffers (Fig 1D) The FL values were highly heterogen-eous among buffers Ottorsquos and LB01 were the bestbuffers with Ottorsquos providing lower CV values and higherFL but lower YF and higher BF than LB01 (Table 3)

Celtis australis

Low CV values (lt30 ) and low DF (lt100 ) wereobserved for this species Nevertheless it was not easy toobtain suffiecient nuclei and the second lowest YF valueswere observed in this species With regard to FL onlyLB01 and TrisMgCl2 buffers were not statistically dif-ferent with nuclei isolated from Galbraithrsquos buffer pre-senting the lowest mean FL and Ottorsquos the highest meanFL All parameters combined TrisMgCl2 and LB01 werethe best buffers as nuclei in TrisMgCl2 presented thelowest CV values and similar FL intensity and YF valuesas in LB01 (Table 3 Fig 1E)

Pisum sativum

In this species all buffers performed reasonably wellThe lowest FL intensities were obtained for nucleiisolated with TrisMgCl2 although no statistically signi-ficant differences were observed among the tested buffersThe best buffer for this species was Ottorsquos (Table 3Fig 1F) Among the investigated species P sativum wasthe one with the highest YF

Festuca rothmaleri

With the exception of CV values and YF overall resultsfor this species were satisfying with all four buffers testedNo statistically significant differences were found regard-ing the FL of nuclei isolated in TrisMgCl2 or Galbraithrsquosbuffers as nuclei from both buffers presented low FLvalues The best buffer for this species was LB01 (Table 3Fig 1G)

Vicia faba

This species gave the lowest CV and DF values amongthose tested Generally the results were very similar tothose obtained for P sativum FL was similar for all thebuffers and no statistically significant differences wereobserved Interestingly Vicia faba was the only species

for which Ottorsquos was not the buffer with the highest FL(Fig 1H) Despite low CV values of DNA peaks thisbuffer gave the worst results with the G0G1 peak shiftedtowards the lower channels This was due to fluorescenceinstability which decreased over time In all other speciesand with the remaining buffers FL was stable after 10 minof incubation with PI (Fig 1A) Results obtained withLB01 and Galbraithrsquos buffers were similar and the best forthis species (Table 3)

Analysis of FS and SS

Generally FS and SS values differed considerablyamong the test buffers Nevertheless in most of thespecies analysis of scatter parameters revealed that two ofthe four buffers were more similar than the others and nostatistically significant differences were observed betweenthem Interestingly and with the exception of S burritobuffers that had similar FS mean values were not thosethat had similar SS values This can be seen on cytogramsof FS vs SS obtained in P sativum (Fig 2) In thisspecies and for FS no statistically significant differenceswere observed between LB01 and Galbraithrsquos buffers forSS no difference was observed for Galbraithrsquos and Ottorsquosbuffers Interestingly simultaneous analysis of FS and SSresulted in a species-specific pattern that could be used asa fingerprint of each buffer

Effect of operator and date of analysis

In most cases no statistically significant differenceswere observed between operators and dates of analysisOperators provided more homogeneous results than datesin the former statistically significant differences wereobserved only for BF and YF in more than one speciesSignificant differences between the dates of analysis weredetected in some species for FS SS CV and BF Withregard to FL one of the most important parameters inFCM analyses significant among-day differences weredetected only in C australis and differences betweenoperators occurred only in L esculentum The two speciesmore susceptible to differences were L esculentum andV faba (Table 4)

Hierarchical cluster analysis

With the exception of the results for S burrito the fourbuffers fell into two highly dissimilar and consistentclusters one with Ottorsquos buffer and the other with theremaining buffers In S burrito (Fig 3A) one cluster wasformed with Ottorsquos and Galbraithrsquos buffers while theother comprised TrisMgCl2 and LB01 buffers InC australis (Fig 3C) Galbraithrsquos buffer was more similarto LB01 and TrisMgCl2 buffers than to Ottorsquos buffer inaddition lsquoTrisMgCl2 Arsquo was more similar to LB01 thanto lsquoTrisMgCl2 Brsquo In P sativum lsquoGalbraithrsquos Arsquo wasmore related to LB01 than to lsquoGalbraithrsquos Brsquo (Fig 3D)whereas for F rothmaleri lsquoLB01 Arsquo was more similar toGalbraithrsquos than to lsquoLB01 Brsquo (Fig 3E) In L esculentumtwo groups were formed from the second clusterTrisMgCl2 and lsquoGalbraith Arsquo formed one group and

684 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

FS log

C

SS lo

g

1 10 100 10000middot1

0middot1

1

10

100

1000

Meanchannel

FSSS 18middot2

TrisMgCl2

37middot8735middot6960middot7()

FPCV

Meanchannel

FSSS

LB01ASS

log

0middot1

1

10

100

1000

10middot045middot4

30middot0226middot09()

FPCV

FSSS 3middot1 37middot24

29middot936middot0

Ottorsquos

FS log

D

1 10 100 10000middot1

Meanchannel ()

FPCV

FS 52middot1 28middot42SS 5middot2 39middot04

GalbraithsB

Meanchannel ()

FPCV

F I G 2 Cytograms of forward scatter (logarithmic scale FS log) vs side scatter (logarithmic scale SS log) obtained after the analysis of Pisum sativum nucleiisolated with four lysis buffers (A) LB01 (B) Galbraithrsquos (C) TrisMgCl2 and (D) Ottorsquos The mean channel number and full peak coefficient of variation

(FPCV ) are given for both parameters Note that the patterns of distributions are characteristic for each buffer

T A B L E 4 Three-way ANOVA analysis of the dates (D) and operators (O) for the parameters evaluated on each species

FS SS FL CV BF YF

Species D O D O D O D O D O D O

Sedum burrito ns ns ns ns ns ns ns ns s ns ns nsOxalis pes-caprae s ns s ns ns ns s ns ns ns ns nsLycopersicon esculentum s ns ns ns ns s s ns s s s sCeltis australis ns ns ns ns s ns ns ns s ns ns nsPisum sativum ns ns s ns ns ns s ns s ns ns nsFestuca rothmaleri s ns ns ns ns ns ns ns ns s ns nsVicia faba ns s s s ns ns ns ns ns ns s s

Forward scatter FS side scatter SS fluorescence FL coefficient of variation of the G0G1 DNA peak CV background factor BF and nuclearyield factor YF

ns not significantly different s significantly different at P lt 005

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 685

LB01 and lsquoGalbraith Brsquo formed the other (Fig 3B) InV faba (Fig 3F) LB01 and Galbraithrsquos formed one groupowing to greater similarities between operators thanwithin each buffer As previously stated in O pes-capraeonly two buffers (Ottorsquos and Galbraithrsquos) providedacceptable results with considerable dissimilaritiesbetween them (data not shown)

DISCUSSION

Four nuclear isolation buffers were used with a setof species that were chosen to represent different types

of leaf tissues and different nuclear DNA content(130ndash2690 pg per 2C DNA) As expected popularDNA reference standards (P sativum V faba andL esculentum) were easy to work with Neverthelessnot all buffers worked well with L esculentumpossibly owing to the presence of cytosolic compoundsHowever as the aim of the study was to compare theperformance of basic buffer formulas the use of additivesthat could counteract the negative effects of cytosol wasavoided

Overall the best results were obtained with P sativumAs its 2C nuclear DNA content is in the middle of theknown range of genome sizes in plants this observation

A

C

E

B

D

F

Dissimilarity Dissimilarity

2middot0 1middot5 1middot0 0middot5 0middot02middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0 2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths A

Galbraiths B

TrisMgCl2 A

TrisMgCl2 B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

F I G 3 Dendrograms obtained after hierarchical cluster analysis of the following species (A) Sedum burrito (B) Lycopersicon esculentum (C) Celtisaustralis (D) Pisum sativum (E) Festuca rothmaleri (F) Vicia faba according to the parameters FS SS FL CV BF and YF With the exception of S burrito

the four buffers fell into two highly dissimilar clusters of the same buffers

686 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

underlines its position as one of the best standards forplant DNA FCM By contrast Sedum burrito was themost difficult species to analyse due to low DNA contentoccurrence of polysomaty and high leaf water contentwhich hampered sample preparation and analysis More-over its tissues may contain tannins (J Greilhuber perscomm 2006)

In O pes-caprae cytosol of which is highly acidic(pH lt 30) measurable samples could be prepared usingonly Ottorsquos and Galbraithrsquos buffers with Ottorsquos beinghighly superior This is in accordance with the results ofEmshwiller (2002) who analysed ploidy levels in OxalisAfter testing LB01 MgSO4 and Ottorsquos buffers sheobtained measurable samples only with Ottorsquos The formertwo buffers failed presumably as a result of the acidic cellsap which may have exceeded the buffering capacity ofLB01 and MgSO4

Celtis australis was the only woody plant speciesincluded in the present study and was chosen because ofthe presence of mucilaginous compounds (Rodriguez et al2005a) which increase sample viscosity restrain nucleirelease and cause their clumping Interestingly this wasthe only species for which TrisMgCl2 was the bestperforming buffer This was probably because of a higherconcentration of the non-ionic detergent which sup-pressed the effect of mucilaginous compounds Leaftissues of F rothmaleri were particularly hard anddifficult to chop In addition preliminary experimentswith this species revealed the presence of cytosoliccompounds which would be expected to interfere withDNA staining However given the pattern of FS and SSobtained the so-called lsquotannic acid effectrsquo (Loureiro et al2006) was absent indicating that these compounds werereleased at low concentration or not at all

In order to compare the performance of nuclear isolationbuffers a set of parameters was carefully selected toevaluate sample quality Furthermore stability of fluores-cence and light scatter properties of isolated nuclei overtime were confirmed Among the parameters chosen thecoefficient of variation of DNA peaks (CV) is of majorimportance Galbraith et al (2002) considered 50 asthe maximum acceptable CV value in plant DNA flowcytometry With the exception of TrisMgCl2 buffer whenused with S burrito all mean CV values obtained hereinwere below this limit Ideally a nuclei sample should befree of cell and tissue debris Emshwiller (2002) noted acorrelation between CV and background noise In thepresent study this correlation was found only in somespecies (eg F rothmaleri) Rather the results heresuggest that the extent of background debris is determinedby the buffer itself For example a higher detergentconcentration in a buffer could lead to chloroplast lysisand consequently decrease the number of fluorescentparticles contributing to debris signals (Coba de la Penaand Brown 2001)

LB01 buffer provided very good results with theexception of O pes-caprae and S burrito low CV highFL and YF values were obtained with this buffer Highnuclei FL intensities obtained with this buffer weredefinitely an advantage as compared with TrisMgCl2 and

Galbraithrsquos buffers Galbraithrsquos buffer seems well bal-anced as acceptable results were achieved in all speciesSurprisingly the buffer gave reasonable results also withO pes-caprae which is characterized by highly acidiccytosol The presence of MOPS in the buffer may shedlight on these findings as it has a pKa of 72 and a betterbuffering capacity than TRIS with a pKa of 81 Adisadvantage of this buffer was the low fluorescenceintensity of nuclei Collectively TrisMgCl2 was the worstperforming buffer Nevertheless it provided the bestresults for C australis This may have been due to thehigher concentration of non-ionic detergent (Table 1)which counteracted the agglutinating effect of mucilagin-ous compounds and decreased sample viscosity As withGalbraithrsquos buffer low FL values were obtained withTrisMgCl2

Ottorsquos buffer is unique in that sample preparationinvolves two steps The results obtained with Ottorsquos bufferwere excellent in many species especially those withlower nuclear DNA content Dolezel and Bartos (2005)highlighted the quality of this buffer which is known toprovide DNA content histograms with unequalled resolu-tion One explanation for this may be that citric acidimproves chromatin accessibility and lsquohomogenizesrsquo chro-matin structure eliminating differences in staining intens-ity among nuclei with the same DNA content but differentchromatin state This could explain the highest FL andlowest CV values as observed here Another characteristicof this buffer was that light scatter values (especially FS)were significantly lower than those of other buffers Thismay be explained by the action of citric acid whichcauses nuclei fixation (Dolezel and Bartos 2005) It isnoteworthy that the pattern of FS vs SS distribution wassimilar to that obtained when analysing nuclei fixed withformaldehyde (Rodriguez et al 2005b) Althoughproviding excellent results this buffer gave the highestBF and lowest YF values The former can be explained bynuclei instability after the addition of Otto II After thisstep nuclei deteriorate rapidly in some species (J Dolezelunpubl res) The lowest YF values could be due to thedetergent (Tween 20) which is weaker than Triton X-100thus having a lower capacity to release nuclei

An important consequence of the observation ofdifferent fluorescence values obtained with the differentbuffers is that different fluorescence ratios may beexpected with the same species pair if the samples areprepared in different buffers In fact Dolezel et al (1998)observed differences in peak ratios obtained in differentlaboratories Further studies are needed to confirm thisobservation as it may have important consequences forestimation of genome size

The present results showed that well-defined popula-tions of nuclei could be observed on cytograms of FS vsSS With the exception of S burrito for which LB01 andTrisMgCl2 buffers did not present statistically significantdifferences for both parameters the analysis of FS and SSprovided a fingerprint pattern for each buffer Loureiroet al (2006) showed that these parameters were sensitiveto the presence of tannic acid a cytosolic compoundcommon in plants and recommended the analysis of light

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 687

scatter to verify suitability of particular samples for plantDNA FCM

As nuclei samples are prepared manually it wasimportant to assess the effect of date of analysis andoperator on sample quality variation Date was found to bemore significant than the effect of different operatorsespecially for FS SS CV and DF YF which depends onthe way the sample is chopped and hence on the operatordid not vary It was expected that FL which is a primarysource of data in FCM analysis would not depend on theoperator or the day of chopping This was confirmed in allspecies except L esculentum and C australis In theformer species a significant variation was obtainedbetween operators These differences could be explainedby variable results obtained with Galbraithrsquos buffer InC australis significant differences were obtained amongdates In this case significant differences were due toresults obtained on one single day Emshwiller (2002)found significant differences when multiple preparationsfrom the same plant were run on different days Thesedifferences and those found in the present study wereprobably due to instrument drift (Kudo and Kimura2001) To avoid this type of error several authors haverecommended that each measurement be repeated at leastthree times on three different days (Suda 2004 Dolezeland Bartos 2005)

This is the first study that has systematically comparednuclear isolation buffers for DNA FCM The results showthat none of the buffers works best with all species andstatistically significant differences in sample quality wereobserved among the four buffers The results obtainedwith different species and contrasting types of leaf tissuescan serve as guidelines in buffer selection Nevertheless itis recommend that a range of buffers be tested whenworking with a new species and tissue type Once the bestbuffer has been identified additives should be tested ifrequired to suppress negative effects of phenols and othercytosolic compounds

ACKNOWLEDGEMENTS

We are grateful to Prof Johann Greilhuber and Dr JanSuda for critical reading of the manuscript This work wassupported by FCT project ref POCTIAGR606722004JL was supported by the Fellowship FCTBD90032002

LITERATURE CITEDBennett MD Leitch I 2005 Genome size evolution in plants In

Gregory T ed The evolution of the genome London ElsevierAcademic Press 89ndash162

Bergounioux C Perennes C Brown SC Gadal P 1988 Cytometricanalysis of growth regulator-dependent transcription and cell cycleprogression in Petunia protoplast cultures Planta 175 500ndash505

Bergounioux C Brown SC Petit PX 1992 Flow cytometry and plantprotoplast cell biology Physiologia Plantarum 85 374ndash386

Castro S Loureiro J Santos C Ayensa G Navarro L 2005 Differentploidy levels could explain reproductive matter of invasive Oxalispes-caprae L in Mediterranean regions In Brunel S ed Invasiveplants in Mediterranean type regions of the world StrasbourgCedex France Council of Europe Publishing 235

Coba de la Pena T Brown SC 2001 Cytometry and fluorimetryIn Hawes C Satiat-Jeunemaıtre B eds Plant cell biology

a practical approach New York Oxford University Press85ndash106

Dolezel J Bartos J 2005 Plant DNA flow cytometry and estimation ofnuclear genome size Annals of Botany 95 99ndash110

Dolezel J Gohde W 1995 Sex determination in dioecious plantsMelandrium album and M rubrum using high-resolution flowcytometry Cytometry 19 103ndash106

Dolezel J Binarova P Lucretti S 1989 Analysis of nuclear DNAcontent in plant cells by flow cytometry Biologia Plantarum 31113ndash120

Dolezel J Sgorbati S Lucretti S 1992 Comparison of three DNAfluorochromes for flow cytometric estimation of nuclear DNAcontent in plants Physiologia Plantarum 85 625ndash631

Dolezel J Greilhuber J Lucretti S Meister A Lysak M Nardi LObermayer R 1998 Plant genome size estimation byflow cytometry inter-laboratory comparison Annals of Botany 8217ndash26

Dolezel J Bartos J Voglmayr H Greilhuber J 2003 Nuclear DNAcontent and genome size of trout and human Cytometry 51A127ndash128

Emshwiller E 2002 Ploidy levels among species in the lsquoOxalis tuberosaAlliancersquo as inferred by flow cytometry Annals of Botany 89741ndash753

Galbraith DW 2004 Cytometry and plant sciences a personalretrospective Cytometry 58A 37ndash44

Galbraith DW Harkins KR Maddox JM Ayres NM Sharma DPFiroozabady E 1983 Rapid flow cytometric analysis of the cell-cycle in intact plant-tissues Science 220 1049ndash1051

Galbraith DW Lambert GM Macas J Dolezel J 2002 Analysis ofnuclear DNA content and ploidy in higher plants In Robinson JPDarzynkiewicz Z Dean PN Dressler LG Rabinovitch PS StewartCV Tanke HJ Wheeless LL eds Current protocols in cytometryNew York John Wiley amp Sons 761ndash7622

Heller FO 1973 DNS-Bestimmung an Keimwurzeln von Vicia faba Lmit Hilfe der Impulscytophotometrie Bericht der DeutschenBotanischen Gesellschaft 86 437ndash441

Hintze J 2004 NCSS and PASS Kaysville Utah Number CruncherStatistical Systems

Kudo N Kimura Y 2001 Flow cytometric evidence for endopolyploidyin seedlings of some Brassica species Theoretical and AppliedGenetics 102 104ndash110

Loureiro J Rodriguez E Dolezel J Santos C 2006 Flow cytometricand microscopic analysis of the effect of tannic acid on plantnuclei and estimation of DNA content Annals of Botany 98515ndash527

Noirot M Barre P Louarn J Duperray C Hamon S 2000 Nucleusndashcytosol interactionsmdashA source of stoichiometric error in flowcytometric estimation of nuclear DNA content in plants Annals ofBotany 86 309ndash316

Noirot M Barre P Duperray C Louarn J Hamon S 2003 Effects ofcaffeine and chlorogenic acid on propidium iodide accessibility toDNA consequences on genome size evaluation in coffee treeAnnals of Botany 92 259ndash264

Otto F 1992 Preparation and staining of cells for high-resolution DNAanalysis In Radbruch A ed Flow cytometry and cell sortingBerlin Springer-Verlag 101ndash104

Pfosser M Amon A Lelley T Heberle-Bors E 1995 Evaluation ofsensitivity of flow cytometry in detecting aneuploidy in wheat usingdisomic and ditelosomic wheat-rye addition lines Cytometry 21387ndash393

Pinto G Loureiro J Lopes T Santos C 2004 Analysis of the geneticstability of Eucalyptus globulus Labill somatic embryos by flowcytometry Theoretical and Applied Genetics 109 580ndash587

Rodriguez E Gomes A Loureiro J Dolezel J Santos C 2005aEstimation of the genome size of the Iberian Peninsula Ulmaceae In9th Iberian Congress of Cytometry Book of Abstracts PortoPortugal 37

Rodriguez E Loureiro J Dolezel J Santos C 2005b The adequacy ofusing formaldehyde fixation for nuclear DNA content analyses ofplant material In 9th Iberian Congress of Cytometry Book ofAbstracts Porto Portugal PO120-PB

Shapiro H 2004 Practical flow cytometry 4th edn New YorkWiley-Liss

688 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

Suda J 2004 An employment of flow cytometry into plant biosystematicsPhD thesis Charles University Czech Republic Available at httpwwwibotcasczfcmsudapresentationdisertationpdf

Trotter J 2000 WinMDI version 28 Available at httpfacsscrippsedusoftwarehtml

Ulrich I Ulrich W 1986 Flow cytometric DNA analysis of plantprotoplasts with DAPI Zeitschrift fur Naturforschung 411052ndash1056

Ulrich I Fritz B Ulrich W 1988 Application of DNA fluorochromes forflow cytometric DNA analysis of plant protoplasts Plant Science 55151ndash158

Walker D Monino I Correal E 2006 Genome size inBituminaria bituminosa (L) CH Stirton (Fabaceae) populationsseparation of lsquotruersquo differences from environmental effects on DNAdetermination Environmental and Experimental Botany 55258ndash265

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 689

levels instrument gain was set such that the 2C peak wasapproximately on channel 100 The 2C nuclear DNAcontent was estimated as 130 6 009 pg (2C = 1271 Mbp)this is the first estimate for this species (Table 1) Com-parative analysis of the four buffers revealed that Ottorsquoswas the best in this species In general YF values were low

(the lowest values from all the test species) whereas DFvalues were high (approx 650 Table 3 Fig 1B)

Oxalis pes-caprae

Only Ottorsquos and Galbraithrsquos buffers provided acceptableresults with this species Ottorsquos was clearly and

0 75 1500

25

1023

43

3

2

2

2

2

2

2

1

1

1

1

1

PI

Peak FL CV() 1 108middot7 5middot87 2 118middot7 3middot00 3 206middot8 4middot10 4 231middot0 2middot55

TrismiddotMgCl2 bufferGreenOttorsquos bufferBlue

Peak FL CV() 1 97middot6 9middot74 2 187middot0 3middot50 3 201middot1 2middot69

TrismiddotMgCl2 bufferGreenGalbraithrsquos bufferOrangeOttorsquos bufferBlue

Peak FL CV() 1 226middot1 4middot09 2 252middot1 1middot96

TrismiddotMgCl2 bufferGreenLB01 bufferRed

Peak FL CV() 1 190middot3 2middot21 2 205middot8 3middot90

TrismiddotMgCl2 bufferGreenOttorsquos bufferBlue

Peak FL CV() 1 184middot1 2middot78 2 213middot8 3middot48

LB01 bufferRedOttorsquos bufferBlue

Peak FL CV() 1 168middot4 3middot32 2 202middot6 2middot10

Ottorsquos bufferBlueLB01 bufferRed

Peak FL CV() 1 180middot5 1middot52 2 188middot1 3middot07

Ottorsquos bufferBlueTrismiddotMgCl2 bufferGreen

0

50

75

100

125

Time (s)

Ottorsquos buffer

PI

225

0

450

0

512

128

00 PI 1023

300

Cou

nt

Cou

ntC

ount

Cou

nt

0

1024

Cou

nt

0

400

1

0

512

Cou

nt

2

1

1023PI0

512

0

Cou

nt

A B

C D

E F

G H

F I G 1 Cytogram of fluorescence intensity (PI relative channel numbers) vs time of Pisum sativum nuclei isolated with Ottorsquos buffer (A) and histograms ofrelative fluorescence intensities (BndashH) which show overlays of distributions obtained with the best and worst performing buffer for each species (B) Sedumburrito (C) Oxalis pes-caprae (D) Lycopersicon esculentum (E) Celtis australis (F) Pisum sativum (G) Festuca rothmaleri and (H) Vicia faba Relativemean channel numbers and coefficients of variation (CV ) of G0G1 peaks are given Four lysis buffers were compared LB01 (red) Galbraithrsquos (orange)

TrisMgCl2 (green) and Ottorsquos (blue)

682 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

TA

BL

E3

F

low

cyto

met

ric

pa

ram

eter

sa

sses

sed

inea

chsp

ecie

s

FS

(ch

ann

elu

nit

s)S

S(c

han

nel

un

its)

FL

(ch

ann

elu

nit

s)C

V(

)B

F(

)Y

F(n

ucl

eis

1m

g

1)

Sp

ecie

sB

uff

erM

ean

SD

Mea

nS

DM

ean

SD

Mea

nS

DM

ean

SD

Mea

nS

D

Sed

um

bu

rrit

oL

B0

15

76

6a

8 7

24

11 3

7a

2 4

48

11

0 9

a5

93

4 4

8a

0 4

07

69 1

5a

24 9

03

0 0

6a

0 0

04

Gal

bra

ith

41 0

6b

5 1

71

5 3

6b

2 2

99

11

2 1

a2

57

3 5

9ab

0 3

96

60 0

2a

16 6

31

0 0

5b

0 0

04

Tri

sM

gC

l 25

75

0a

8 5

56

13 3

4a

2 6

70

10

3 0

b6

19

5 6

1c

1 0

00

68 8

5a

13 8

74

0 0

5ab

0 0

04

Ott

o8 0

1c

2 1

79

2 5

8c

0 7

87

12

1 4

c3

93

3 2

7b

0 2

88

65 9

6a

6 3

30

05

ab

0 0

06

Oxa

lis

pes

-ca

pra

eL

B0

1ndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashG

alb

rait

h1

71 3

3a

36 4

04

19 7

5a

6 9

20

17

8 5

a5

21

4 1

4a

0 7

78

7 0

5a

4 9

77

1 0

1a

0 3

64

Tri

sM

gC

l 2ndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashO

tto

26 3

2b

4 9

33

3 9

0b

0 6

41

20

0 7

b6

24

3 0

3b

0 4

15

8 9

6a

5 9

08

0 6

2b

0 1

25

Lyc

oper

sico

nes

cule

ntu

mL

B0

11

5 4

2a

2 1

25

2 9

7a

0 4

94

25

7 9

a1

1 5

02 8

8a

0 8

80

21 2

1a

14 1

37

2 4

7a

1 5

12

Gal

bra

ith

21 5

3b

3 7

52

3 4

0a

0 7

13

20

8 5

b4

9 6

12 8

7a

0 7

12

16 8

7a

10 0

36

1 6

9ab

0 8

14

Tri

sM

gC

l 21

7 4

8a

4 9

70

4 7

6b

1 5

62

21

6 7

b2

7 2

73 7

0b

0 8

36

20 5

2a

12 9

18

1 7

2ab

1 7

45

Ott

o3 6

8c

1 5

37

1 9

5c

0 7

66

26

9 9

a1

1 1

72 1

8c

0 2

66

28 4

9b

13 2

54

0 9

1b

0 6

17

Cel

tis

au

stra

lis

LB

01

28 4

7a

4 8

47

11 4

5a

3 4

81

18

2 1

a1

3 1

33 0

2a

0 3

15

7 6

6a

3 5

65

0 5

0a

0 2

24

Gal

bra

ith

25 5

7a

1 8

42

4 5

4b

0 6

37

17

1 3

b7

76

2 8

7a

0 2

59

8 2

7a

3 4

45

0 3

5a

0 1

62

Tri

sM

gC

l 24

1 7

1b

6 9

44

16 0

8c

2 1

57

18

0 3

a1

0 4

42 8

5a

0 4

19

9 1

0b

5 0

85

0 4

9a

0 2

91

Ott

o8 2

0c

1 4

04

7 2

5b

1 7

87

19

2 8

c8

23

3 4

6b

0 4

05

23 9

6c

4 6

15

0 4

9a

0 2

00

Pis

um

sati

vum

LB

01

47 5

4a

1 5

50

10 8

7a

3 0

78

18

3 5

a5

06

2 8

1a

0 4

61

7 1

9a

2 8

23

2 3

3a

0 4

90

Gal

bra

ith

51 9

7a

3 6

24

5 2

9b

1 1

55

17

8 6

a3

36

3 0

2ab

0 4

65

6 3

4a

1 7

65

2 3

0a

0 8

76

Tri

sM

gC

l 25

9 3

7b

4 8

26

16 7

4c

2 9

14

17

7 7

a1

1 8

63 2

9b

0 5

15

6 3

9a

2 7

81

2 5

9a

0 8

94

Ott

o5 7

2c

0 9

93

4 7

9b

1 0

83

19

0 1

a6

06

1 9

4c

0 1

80

9 8

5b

2 6

68

1 1

5b

0 3

67

Fes

tuca

roth

ma

leri

LB

01

57 3

5a

1 8

25

8 5

7a

0 7

99

19

6 1

a6

07

3 2

4a

0 4

52

14 2

3ab

3 2

83

0 4

2a

0 1

82

Gal

bra

ith

61 0

3a

2 2

50

6 8

4b

0 6

49

18

2 7

b7

15

3 3

3ab

0 4

59

15 0

7a

1 9

74

0 2

7b

0 1

31

Tri

sM

gC

l 26

9 8

5a

1 6

03

17 7

2c

0 8

15

18

5 1

b8

06

3 6

6ab

0 3

12

17 3

0b

5 7

01

0 5

4a

0 1

95

Ott

o1

3 8

4b

2 8

46

8 5

5a

1 6

03

21

0 9

c6

77

3 7

6b

0 6

13

23 8

6c

12 9

92

0 1

1c

0 0

66

Vic

iafa

ba

LB

01

10

4 8

2a

6 0

21

11 6

1a

1 7

42

20

1 5

a4

45

2 4

0a

0 1

78

6 3

6a

2 3

26

0 8

7a

0 2

90

Ga

lbra

ith

11

4 5

5b

2 7

87

8 5

8b

1 3

06

19

6 9

a4

88

2 4

1a

0 1

48

5 8

0a

0 8

06

0 8

2a

0 2

35

Tri

sM

gC

l 21

15 4

5b

5 1

94

20 3

6c

1 4

43

19

1 5

a9

10

2 9

1b

0 2

72

6 8

5a

4 6

09

1 3

0b

0 3

45

Ott

o2

1 5

6c

8 7

21

14 0

5a

7 5

89

18

4 2

a1

6 9

22 2

2a

0 5

32

4 3

5a

1 7

51

0 4

5c

0 1

8

Val

ues

are

giv

enas

mea

nan

dst

and

ard

dev

iati

on

of

the

mea

n(S

D)

of

forw

ard

scat

ter

(FS

ch

ann

elu

nit

s)s

ide

scat

ter

(SS

chan

nel

un

its)

flu

ore

scen

ce(F

Lc

han

nel

un

its)

coef

fici

ento

fv

aria

tio

no

fG

0G

1D

NA

pea

k(C

V

)b

ack

gro

un

dfa

cto

r(B

F

)an

dn

ucl

eary

ield

fact

or(Y

Fn

ucl

eisndash

1m

gndash1)

Mea

ns

foll

ow

edb

yth

esa

me

lett

er(a

bo

rc)

are

no

tsta

tist

ical

lyd

iffe

ren

tacc

ord

ing

toth

em

ult

iple

com

par

ison

Ho

lmndashS

idak

test

atPlt

00

5

Buff

er(s

)th

atp

erfo

rmed

bes

tin

each

spec

ies

are

sho

wn

inb

old

typ

e

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 683

significantly better than Galbraithrsquos (Fig 1C) with highermean FL intensities and lower CV values (Table 3)Figure 1C also shows the histogram obtained after nuclearisolation with TrisMgCl2 buffer In this case a G0G1 peakwith an unacceptable CV value (974 ) and considerableloss of fluorescence was obtained A similar result wasobtained for nuclei isolated with LB01

Lycopersicon esculentum

Acceptable results were obtained with all four buffersTwo buffer groups with statistically significant differencesin FL were obtained Samples prepared with Galbraithrsquosand TrisMgCl2 buffers yielded lower mean FL valuesthan their counterparts prepared with LB01 and Ottorsquosbuffers (Fig 1D) The FL values were highly heterogen-eous among buffers Ottorsquos and LB01 were the bestbuffers with Ottorsquos providing lower CV values and higherFL but lower YF and higher BF than LB01 (Table 3)

Celtis australis

Low CV values (lt30 ) and low DF (lt100 ) wereobserved for this species Nevertheless it was not easy toobtain suffiecient nuclei and the second lowest YF valueswere observed in this species With regard to FL onlyLB01 and TrisMgCl2 buffers were not statistically dif-ferent with nuclei isolated from Galbraithrsquos buffer pre-senting the lowest mean FL and Ottorsquos the highest meanFL All parameters combined TrisMgCl2 and LB01 werethe best buffers as nuclei in TrisMgCl2 presented thelowest CV values and similar FL intensity and YF valuesas in LB01 (Table 3 Fig 1E)

Pisum sativum

In this species all buffers performed reasonably wellThe lowest FL intensities were obtained for nucleiisolated with TrisMgCl2 although no statistically signi-ficant differences were observed among the tested buffersThe best buffer for this species was Ottorsquos (Table 3Fig 1F) Among the investigated species P sativum wasthe one with the highest YF

Festuca rothmaleri

With the exception of CV values and YF overall resultsfor this species were satisfying with all four buffers testedNo statistically significant differences were found regard-ing the FL of nuclei isolated in TrisMgCl2 or Galbraithrsquosbuffers as nuclei from both buffers presented low FLvalues The best buffer for this species was LB01 (Table 3Fig 1G)

Vicia faba

This species gave the lowest CV and DF values amongthose tested Generally the results were very similar tothose obtained for P sativum FL was similar for all thebuffers and no statistically significant differences wereobserved Interestingly Vicia faba was the only species

for which Ottorsquos was not the buffer with the highest FL(Fig 1H) Despite low CV values of DNA peaks thisbuffer gave the worst results with the G0G1 peak shiftedtowards the lower channels This was due to fluorescenceinstability which decreased over time In all other speciesand with the remaining buffers FL was stable after 10 minof incubation with PI (Fig 1A) Results obtained withLB01 and Galbraithrsquos buffers were similar and the best forthis species (Table 3)

Analysis of FS and SS

Generally FS and SS values differed considerablyamong the test buffers Nevertheless in most of thespecies analysis of scatter parameters revealed that two ofthe four buffers were more similar than the others and nostatistically significant differences were observed betweenthem Interestingly and with the exception of S burritobuffers that had similar FS mean values were not thosethat had similar SS values This can be seen on cytogramsof FS vs SS obtained in P sativum (Fig 2) In thisspecies and for FS no statistically significant differenceswere observed between LB01 and Galbraithrsquos buffers forSS no difference was observed for Galbraithrsquos and Ottorsquosbuffers Interestingly simultaneous analysis of FS and SSresulted in a species-specific pattern that could be used asa fingerprint of each buffer

Effect of operator and date of analysis

In most cases no statistically significant differenceswere observed between operators and dates of analysisOperators provided more homogeneous results than datesin the former statistically significant differences wereobserved only for BF and YF in more than one speciesSignificant differences between the dates of analysis weredetected in some species for FS SS CV and BF Withregard to FL one of the most important parameters inFCM analyses significant among-day differences weredetected only in C australis and differences betweenoperators occurred only in L esculentum The two speciesmore susceptible to differences were L esculentum andV faba (Table 4)

Hierarchical cluster analysis

With the exception of the results for S burrito the fourbuffers fell into two highly dissimilar and consistentclusters one with Ottorsquos buffer and the other with theremaining buffers In S burrito (Fig 3A) one cluster wasformed with Ottorsquos and Galbraithrsquos buffers while theother comprised TrisMgCl2 and LB01 buffers InC australis (Fig 3C) Galbraithrsquos buffer was more similarto LB01 and TrisMgCl2 buffers than to Ottorsquos buffer inaddition lsquoTrisMgCl2 Arsquo was more similar to LB01 thanto lsquoTrisMgCl2 Brsquo In P sativum lsquoGalbraithrsquos Arsquo wasmore related to LB01 than to lsquoGalbraithrsquos Brsquo (Fig 3D)whereas for F rothmaleri lsquoLB01 Arsquo was more similar toGalbraithrsquos than to lsquoLB01 Brsquo (Fig 3E) In L esculentumtwo groups were formed from the second clusterTrisMgCl2 and lsquoGalbraith Arsquo formed one group and

684 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

FS log

C

SS lo

g

1 10 100 10000middot1

0middot1

1

10

100

1000

Meanchannel

FSSS 18middot2

TrisMgCl2

37middot8735middot6960middot7()

FPCV

Meanchannel

FSSS

LB01ASS

log

0middot1

1

10

100

1000

10middot045middot4

30middot0226middot09()

FPCV

FSSS 3middot1 37middot24

29middot936middot0

Ottorsquos

FS log

D

1 10 100 10000middot1

Meanchannel ()

FPCV

FS 52middot1 28middot42SS 5middot2 39middot04

GalbraithsB

Meanchannel ()

FPCV

F I G 2 Cytograms of forward scatter (logarithmic scale FS log) vs side scatter (logarithmic scale SS log) obtained after the analysis of Pisum sativum nucleiisolated with four lysis buffers (A) LB01 (B) Galbraithrsquos (C) TrisMgCl2 and (D) Ottorsquos The mean channel number and full peak coefficient of variation

(FPCV ) are given for both parameters Note that the patterns of distributions are characteristic for each buffer

T A B L E 4 Three-way ANOVA analysis of the dates (D) and operators (O) for the parameters evaluated on each species

FS SS FL CV BF YF

Species D O D O D O D O D O D O

Sedum burrito ns ns ns ns ns ns ns ns s ns ns nsOxalis pes-caprae s ns s ns ns ns s ns ns ns ns nsLycopersicon esculentum s ns ns ns ns s s ns s s s sCeltis australis ns ns ns ns s ns ns ns s ns ns nsPisum sativum ns ns s ns ns ns s ns s ns ns nsFestuca rothmaleri s ns ns ns ns ns ns ns ns s ns nsVicia faba ns s s s ns ns ns ns ns ns s s

Forward scatter FS side scatter SS fluorescence FL coefficient of variation of the G0G1 DNA peak CV background factor BF and nuclearyield factor YF

ns not significantly different s significantly different at P lt 005

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 685

LB01 and lsquoGalbraith Brsquo formed the other (Fig 3B) InV faba (Fig 3F) LB01 and Galbraithrsquos formed one groupowing to greater similarities between operators thanwithin each buffer As previously stated in O pes-capraeonly two buffers (Ottorsquos and Galbraithrsquos) providedacceptable results with considerable dissimilaritiesbetween them (data not shown)

DISCUSSION

Four nuclear isolation buffers were used with a setof species that were chosen to represent different types

of leaf tissues and different nuclear DNA content(130ndash2690 pg per 2C DNA) As expected popularDNA reference standards (P sativum V faba andL esculentum) were easy to work with Neverthelessnot all buffers worked well with L esculentumpossibly owing to the presence of cytosolic compoundsHowever as the aim of the study was to compare theperformance of basic buffer formulas the use of additivesthat could counteract the negative effects of cytosol wasavoided

Overall the best results were obtained with P sativumAs its 2C nuclear DNA content is in the middle of theknown range of genome sizes in plants this observation

A

C

E

B

D

F

Dissimilarity Dissimilarity

2middot0 1middot5 1middot0 0middot5 0middot02middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0 2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths A

Galbraiths B

TrisMgCl2 A

TrisMgCl2 B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

F I G 3 Dendrograms obtained after hierarchical cluster analysis of the following species (A) Sedum burrito (B) Lycopersicon esculentum (C) Celtisaustralis (D) Pisum sativum (E) Festuca rothmaleri (F) Vicia faba according to the parameters FS SS FL CV BF and YF With the exception of S burrito

the four buffers fell into two highly dissimilar clusters of the same buffers

686 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

underlines its position as one of the best standards forplant DNA FCM By contrast Sedum burrito was themost difficult species to analyse due to low DNA contentoccurrence of polysomaty and high leaf water contentwhich hampered sample preparation and analysis More-over its tissues may contain tannins (J Greilhuber perscomm 2006)

In O pes-caprae cytosol of which is highly acidic(pH lt 30) measurable samples could be prepared usingonly Ottorsquos and Galbraithrsquos buffers with Ottorsquos beinghighly superior This is in accordance with the results ofEmshwiller (2002) who analysed ploidy levels in OxalisAfter testing LB01 MgSO4 and Ottorsquos buffers sheobtained measurable samples only with Ottorsquos The formertwo buffers failed presumably as a result of the acidic cellsap which may have exceeded the buffering capacity ofLB01 and MgSO4

Celtis australis was the only woody plant speciesincluded in the present study and was chosen because ofthe presence of mucilaginous compounds (Rodriguez et al2005a) which increase sample viscosity restrain nucleirelease and cause their clumping Interestingly this wasthe only species for which TrisMgCl2 was the bestperforming buffer This was probably because of a higherconcentration of the non-ionic detergent which sup-pressed the effect of mucilaginous compounds Leaftissues of F rothmaleri were particularly hard anddifficult to chop In addition preliminary experimentswith this species revealed the presence of cytosoliccompounds which would be expected to interfere withDNA staining However given the pattern of FS and SSobtained the so-called lsquotannic acid effectrsquo (Loureiro et al2006) was absent indicating that these compounds werereleased at low concentration or not at all

In order to compare the performance of nuclear isolationbuffers a set of parameters was carefully selected toevaluate sample quality Furthermore stability of fluores-cence and light scatter properties of isolated nuclei overtime were confirmed Among the parameters chosen thecoefficient of variation of DNA peaks (CV) is of majorimportance Galbraith et al (2002) considered 50 asthe maximum acceptable CV value in plant DNA flowcytometry With the exception of TrisMgCl2 buffer whenused with S burrito all mean CV values obtained hereinwere below this limit Ideally a nuclei sample should befree of cell and tissue debris Emshwiller (2002) noted acorrelation between CV and background noise In thepresent study this correlation was found only in somespecies (eg F rothmaleri) Rather the results heresuggest that the extent of background debris is determinedby the buffer itself For example a higher detergentconcentration in a buffer could lead to chloroplast lysisand consequently decrease the number of fluorescentparticles contributing to debris signals (Coba de la Penaand Brown 2001)

LB01 buffer provided very good results with theexception of O pes-caprae and S burrito low CV highFL and YF values were obtained with this buffer Highnuclei FL intensities obtained with this buffer weredefinitely an advantage as compared with TrisMgCl2 and

Galbraithrsquos buffers Galbraithrsquos buffer seems well bal-anced as acceptable results were achieved in all speciesSurprisingly the buffer gave reasonable results also withO pes-caprae which is characterized by highly acidiccytosol The presence of MOPS in the buffer may shedlight on these findings as it has a pKa of 72 and a betterbuffering capacity than TRIS with a pKa of 81 Adisadvantage of this buffer was the low fluorescenceintensity of nuclei Collectively TrisMgCl2 was the worstperforming buffer Nevertheless it provided the bestresults for C australis This may have been due to thehigher concentration of non-ionic detergent (Table 1)which counteracted the agglutinating effect of mucilagin-ous compounds and decreased sample viscosity As withGalbraithrsquos buffer low FL values were obtained withTrisMgCl2

Ottorsquos buffer is unique in that sample preparationinvolves two steps The results obtained with Ottorsquos bufferwere excellent in many species especially those withlower nuclear DNA content Dolezel and Bartos (2005)highlighted the quality of this buffer which is known toprovide DNA content histograms with unequalled resolu-tion One explanation for this may be that citric acidimproves chromatin accessibility and lsquohomogenizesrsquo chro-matin structure eliminating differences in staining intens-ity among nuclei with the same DNA content but differentchromatin state This could explain the highest FL andlowest CV values as observed here Another characteristicof this buffer was that light scatter values (especially FS)were significantly lower than those of other buffers Thismay be explained by the action of citric acid whichcauses nuclei fixation (Dolezel and Bartos 2005) It isnoteworthy that the pattern of FS vs SS distribution wassimilar to that obtained when analysing nuclei fixed withformaldehyde (Rodriguez et al 2005b) Althoughproviding excellent results this buffer gave the highestBF and lowest YF values The former can be explained bynuclei instability after the addition of Otto II After thisstep nuclei deteriorate rapidly in some species (J Dolezelunpubl res) The lowest YF values could be due to thedetergent (Tween 20) which is weaker than Triton X-100thus having a lower capacity to release nuclei

An important consequence of the observation ofdifferent fluorescence values obtained with the differentbuffers is that different fluorescence ratios may beexpected with the same species pair if the samples areprepared in different buffers In fact Dolezel et al (1998)observed differences in peak ratios obtained in differentlaboratories Further studies are needed to confirm thisobservation as it may have important consequences forestimation of genome size

The present results showed that well-defined popula-tions of nuclei could be observed on cytograms of FS vsSS With the exception of S burrito for which LB01 andTrisMgCl2 buffers did not present statistically significantdifferences for both parameters the analysis of FS and SSprovided a fingerprint pattern for each buffer Loureiroet al (2006) showed that these parameters were sensitiveto the presence of tannic acid a cytosolic compoundcommon in plants and recommended the analysis of light

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 687

scatter to verify suitability of particular samples for plantDNA FCM

As nuclei samples are prepared manually it wasimportant to assess the effect of date of analysis andoperator on sample quality variation Date was found to bemore significant than the effect of different operatorsespecially for FS SS CV and DF YF which depends onthe way the sample is chopped and hence on the operatordid not vary It was expected that FL which is a primarysource of data in FCM analysis would not depend on theoperator or the day of chopping This was confirmed in allspecies except L esculentum and C australis In theformer species a significant variation was obtainedbetween operators These differences could be explainedby variable results obtained with Galbraithrsquos buffer InC australis significant differences were obtained amongdates In this case significant differences were due toresults obtained on one single day Emshwiller (2002)found significant differences when multiple preparationsfrom the same plant were run on different days Thesedifferences and those found in the present study wereprobably due to instrument drift (Kudo and Kimura2001) To avoid this type of error several authors haverecommended that each measurement be repeated at leastthree times on three different days (Suda 2004 Dolezeland Bartos 2005)

This is the first study that has systematically comparednuclear isolation buffers for DNA FCM The results showthat none of the buffers works best with all species andstatistically significant differences in sample quality wereobserved among the four buffers The results obtainedwith different species and contrasting types of leaf tissuescan serve as guidelines in buffer selection Nevertheless itis recommend that a range of buffers be tested whenworking with a new species and tissue type Once the bestbuffer has been identified additives should be tested ifrequired to suppress negative effects of phenols and othercytosolic compounds

ACKNOWLEDGEMENTS

We are grateful to Prof Johann Greilhuber and Dr JanSuda for critical reading of the manuscript This work wassupported by FCT project ref POCTIAGR606722004JL was supported by the Fellowship FCTBD90032002

LITERATURE CITEDBennett MD Leitch I 2005 Genome size evolution in plants In

Gregory T ed The evolution of the genome London ElsevierAcademic Press 89ndash162

Bergounioux C Perennes C Brown SC Gadal P 1988 Cytometricanalysis of growth regulator-dependent transcription and cell cycleprogression in Petunia protoplast cultures Planta 175 500ndash505

Bergounioux C Brown SC Petit PX 1992 Flow cytometry and plantprotoplast cell biology Physiologia Plantarum 85 374ndash386

Castro S Loureiro J Santos C Ayensa G Navarro L 2005 Differentploidy levels could explain reproductive matter of invasive Oxalispes-caprae L in Mediterranean regions In Brunel S ed Invasiveplants in Mediterranean type regions of the world StrasbourgCedex France Council of Europe Publishing 235

Coba de la Pena T Brown SC 2001 Cytometry and fluorimetryIn Hawes C Satiat-Jeunemaıtre B eds Plant cell biology

a practical approach New York Oxford University Press85ndash106

Dolezel J Bartos J 2005 Plant DNA flow cytometry and estimation ofnuclear genome size Annals of Botany 95 99ndash110

Dolezel J Gohde W 1995 Sex determination in dioecious plantsMelandrium album and M rubrum using high-resolution flowcytometry Cytometry 19 103ndash106

Dolezel J Binarova P Lucretti S 1989 Analysis of nuclear DNAcontent in plant cells by flow cytometry Biologia Plantarum 31113ndash120

Dolezel J Sgorbati S Lucretti S 1992 Comparison of three DNAfluorochromes for flow cytometric estimation of nuclear DNAcontent in plants Physiologia Plantarum 85 625ndash631

Dolezel J Greilhuber J Lucretti S Meister A Lysak M Nardi LObermayer R 1998 Plant genome size estimation byflow cytometry inter-laboratory comparison Annals of Botany 8217ndash26

Dolezel J Bartos J Voglmayr H Greilhuber J 2003 Nuclear DNAcontent and genome size of trout and human Cytometry 51A127ndash128

Emshwiller E 2002 Ploidy levels among species in the lsquoOxalis tuberosaAlliancersquo as inferred by flow cytometry Annals of Botany 89741ndash753

Galbraith DW 2004 Cytometry and plant sciences a personalretrospective Cytometry 58A 37ndash44

Galbraith DW Harkins KR Maddox JM Ayres NM Sharma DPFiroozabady E 1983 Rapid flow cytometric analysis of the cell-cycle in intact plant-tissues Science 220 1049ndash1051

Galbraith DW Lambert GM Macas J Dolezel J 2002 Analysis ofnuclear DNA content and ploidy in higher plants In Robinson JPDarzynkiewicz Z Dean PN Dressler LG Rabinovitch PS StewartCV Tanke HJ Wheeless LL eds Current protocols in cytometryNew York John Wiley amp Sons 761ndash7622

Heller FO 1973 DNS-Bestimmung an Keimwurzeln von Vicia faba Lmit Hilfe der Impulscytophotometrie Bericht der DeutschenBotanischen Gesellschaft 86 437ndash441

Hintze J 2004 NCSS and PASS Kaysville Utah Number CruncherStatistical Systems

Kudo N Kimura Y 2001 Flow cytometric evidence for endopolyploidyin seedlings of some Brassica species Theoretical and AppliedGenetics 102 104ndash110

Loureiro J Rodriguez E Dolezel J Santos C 2006 Flow cytometricand microscopic analysis of the effect of tannic acid on plantnuclei and estimation of DNA content Annals of Botany 98515ndash527

Noirot M Barre P Louarn J Duperray C Hamon S 2000 Nucleusndashcytosol interactionsmdashA source of stoichiometric error in flowcytometric estimation of nuclear DNA content in plants Annals ofBotany 86 309ndash316

Noirot M Barre P Duperray C Louarn J Hamon S 2003 Effects ofcaffeine and chlorogenic acid on propidium iodide accessibility toDNA consequences on genome size evaluation in coffee treeAnnals of Botany 92 259ndash264

Otto F 1992 Preparation and staining of cells for high-resolution DNAanalysis In Radbruch A ed Flow cytometry and cell sortingBerlin Springer-Verlag 101ndash104

Pfosser M Amon A Lelley T Heberle-Bors E 1995 Evaluation ofsensitivity of flow cytometry in detecting aneuploidy in wheat usingdisomic and ditelosomic wheat-rye addition lines Cytometry 21387ndash393

Pinto G Loureiro J Lopes T Santos C 2004 Analysis of the geneticstability of Eucalyptus globulus Labill somatic embryos by flowcytometry Theoretical and Applied Genetics 109 580ndash587

Rodriguez E Gomes A Loureiro J Dolezel J Santos C 2005aEstimation of the genome size of the Iberian Peninsula Ulmaceae In9th Iberian Congress of Cytometry Book of Abstracts PortoPortugal 37

Rodriguez E Loureiro J Dolezel J Santos C 2005b The adequacy ofusing formaldehyde fixation for nuclear DNA content analyses ofplant material In 9th Iberian Congress of Cytometry Book ofAbstracts Porto Portugal PO120-PB

Shapiro H 2004 Practical flow cytometry 4th edn New YorkWiley-Liss

688 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

Suda J 2004 An employment of flow cytometry into plant biosystematicsPhD thesis Charles University Czech Republic Available at httpwwwibotcasczfcmsudapresentationdisertationpdf

Trotter J 2000 WinMDI version 28 Available at httpfacsscrippsedusoftwarehtml

Ulrich I Ulrich W 1986 Flow cytometric DNA analysis of plantprotoplasts with DAPI Zeitschrift fur Naturforschung 411052ndash1056

Ulrich I Fritz B Ulrich W 1988 Application of DNA fluorochromes forflow cytometric DNA analysis of plant protoplasts Plant Science 55151ndash158

Walker D Monino I Correal E 2006 Genome size inBituminaria bituminosa (L) CH Stirton (Fabaceae) populationsseparation of lsquotruersquo differences from environmental effects on DNAdetermination Environmental and Experimental Botany 55258ndash265

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 689

TA

BL

E3

F

low

cyto

met

ric

pa

ram

eter

sa

sses

sed

inea

chsp

ecie

s

FS

(ch

ann

elu

nit

s)S

S(c

han

nel

un

its)

FL

(ch

ann

elu

nit

s)C

V(

)B

F(

)Y

F(n

ucl

eis

1m

g

1)

Sp

ecie

sB

uff

erM

ean

SD

Mea

nS

DM

ean

SD

Mea

nS

DM

ean

SD

Mea

nS

D

Sed

um

bu

rrit

oL

B0

15

76

6a

8 7

24

11 3

7a

2 4

48

11

0 9

a5

93

4 4

8a

0 4

07

69 1

5a

24 9

03

0 0

6a

0 0

04

Gal

bra

ith

41 0

6b

5 1

71

5 3

6b

2 2

99

11

2 1

a2

57

3 5

9ab

0 3

96

60 0

2a

16 6

31

0 0

5b

0 0

04

Tri

sM

gC

l 25

75

0a

8 5

56

13 3

4a

2 6

70

10

3 0

b6

19

5 6

1c

1 0

00

68 8

5a

13 8

74

0 0

5ab

0 0

04

Ott

o8 0

1c

2 1

79

2 5

8c

0 7

87

12

1 4

c3

93

3 2

7b

0 2

88

65 9

6a

6 3

30

05

ab

0 0

06

Oxa

lis

pes

-ca

pra

eL

B0

1ndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashG

alb

rait

h1

71 3

3a

36 4

04

19 7

5a

6 9

20

17

8 5

a5

21

4 1

4a

0 7

78

7 0

5a

4 9

77

1 0

1a

0 3

64

Tri

sM

gC

l 2ndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashndash

ndashO

tto

26 3

2b

4 9

33

3 9

0b

0 6

41

20

0 7

b6

24

3 0

3b

0 4

15

8 9

6a

5 9

08

0 6

2b

0 1

25

Lyc

oper

sico

nes

cule

ntu

mL

B0

11

5 4

2a

2 1

25

2 9

7a

0 4

94

25

7 9

a1

1 5

02 8

8a

0 8

80

21 2

1a

14 1

37

2 4

7a

1 5

12

Gal

bra

ith

21 5

3b

3 7

52

3 4

0a

0 7

13

20

8 5

b4

9 6

12 8

7a

0 7

12

16 8

7a

10 0

36

1 6

9ab

0 8

14

Tri

sM

gC

l 21

7 4

8a

4 9

70

4 7

6b

1 5

62

21

6 7

b2

7 2

73 7

0b

0 8

36

20 5

2a

12 9

18

1 7

2ab

1 7

45

Ott

o3 6

8c

1 5

37

1 9

5c

0 7

66

26

9 9

a1

1 1

72 1

8c

0 2

66

28 4

9b

13 2

54

0 9

1b

0 6

17

Cel

tis

au

stra

lis

LB

01

28 4

7a

4 8

47

11 4

5a

3 4

81

18

2 1

a1

3 1

33 0

2a

0 3

15

7 6

6a

3 5

65

0 5

0a

0 2

24

Gal

bra

ith

25 5

7a

1 8

42

4 5

4b

0 6

37

17

1 3

b7

76

2 8

7a

0 2

59

8 2

7a

3 4

45

0 3

5a

0 1

62

Tri

sM

gC

l 24

1 7

1b

6 9

44

16 0

8c

2 1

57

18

0 3

a1

0 4

42 8

5a

0 4

19

9 1

0b

5 0

85

0 4

9a

0 2

91

Ott

o8 2

0c

1 4

04

7 2

5b

1 7

87

19

2 8

c8

23

3 4

6b

0 4

05

23 9

6c

4 6

15

0 4

9a

0 2

00

Pis

um

sati

vum

LB

01

47 5

4a

1 5

50

10 8

7a

3 0

78

18

3 5

a5

06

2 8

1a

0 4

61

7 1

9a

2 8

23

2 3

3a

0 4

90

Gal

bra

ith

51 9

7a

3 6

24

5 2

9b

1 1

55

17

8 6

a3

36

3 0

2ab

0 4

65

6 3

4a

1 7

65

2 3

0a

0 8

76

Tri

sM

gC

l 25

9 3

7b

4 8

26

16 7

4c

2 9

14

17

7 7

a1

1 8

63 2

9b

0 5

15

6 3

9a

2 7

81

2 5

9a

0 8

94

Ott

o5 7

2c

0 9

93

4 7

9b

1 0

83

19

0 1

a6

06

1 9

4c

0 1

80

9 8

5b

2 6

68

1 1

5b

0 3

67

Fes

tuca

roth

ma

leri

LB

01

57 3

5a

1 8

25

8 5

7a

0 7

99

19

6 1

a6

07

3 2

4a

0 4

52

14 2

3ab

3 2

83

0 4

2a

0 1

82

Gal

bra

ith

61 0

3a

2 2

50

6 8

4b

0 6

49

18

2 7

b7

15

3 3

3ab

0 4

59

15 0

7a

1 9

74

0 2

7b

0 1

31

Tri

sM

gC

l 26

9 8

5a

1 6

03

17 7

2c

0 8

15

18

5 1

b8

06

3 6

6ab

0 3

12

17 3

0b

5 7

01

0 5

4a

0 1

95

Ott

o1

3 8

4b

2 8

46

8 5

5a

1 6

03

21

0 9

c6

77

3 7

6b

0 6

13

23 8

6c

12 9

92

0 1

1c

0 0

66

Vic

iafa

ba

LB

01

10

4 8

2a

6 0

21

11 6

1a

1 7

42

20

1 5

a4

45

2 4

0a

0 1

78

6 3

6a

2 3

26

0 8

7a

0 2

90

Ga

lbra

ith

11

4 5

5b

2 7

87

8 5

8b

1 3

06

19

6 9

a4

88

2 4

1a

0 1

48

5 8

0a

0 8

06

0 8

2a

0 2

35

Tri

sM

gC

l 21

15 4

5b

5 1

94

20 3

6c

1 4

43

19

1 5

a9

10

2 9

1b

0 2

72

6 8

5a

4 6

09

1 3

0b

0 3

45

Ott

o2

1 5

6c

8 7

21

14 0

5a

7 5

89

18

4 2

a1

6 9

22 2

2a

0 5

32

4 3

5a

1 7

51

0 4

5c

0 1

8

Val

ues

are

giv

enas

mea

nan

dst

and

ard

dev

iati

on

of

the

mea

n(S

D)

of

forw

ard

scat

ter

(FS

ch

ann

elu

nit

s)s

ide

scat

ter

(SS

chan

nel

un

its)

flu

ore

scen

ce(F

Lc

han

nel

un

its)

coef

fici

ento

fv

aria

tio

no

fG

0G

1D

NA

pea

k(C

V

)b

ack

gro

un

dfa

cto

r(B

F

)an

dn

ucl

eary

ield

fact

or(Y

Fn

ucl

eisndash

1m

gndash1)

Mea

ns

foll

ow

edb

yth

esa

me

lett

er(a

bo

rc)

are

no

tsta

tist

ical

lyd

iffe

ren

tacc

ord

ing

toth

em

ult

iple

com

par

ison

Ho

lmndashS

idak

test

atPlt

00

5

Buff

er(s

)th

atp

erfo

rmed

bes

tin

each

spec

ies

are

sho

wn

inb

old

typ

e

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 683

significantly better than Galbraithrsquos (Fig 1C) with highermean FL intensities and lower CV values (Table 3)Figure 1C also shows the histogram obtained after nuclearisolation with TrisMgCl2 buffer In this case a G0G1 peakwith an unacceptable CV value (974 ) and considerableloss of fluorescence was obtained A similar result wasobtained for nuclei isolated with LB01

Lycopersicon esculentum

Acceptable results were obtained with all four buffersTwo buffer groups with statistically significant differencesin FL were obtained Samples prepared with Galbraithrsquosand TrisMgCl2 buffers yielded lower mean FL valuesthan their counterparts prepared with LB01 and Ottorsquosbuffers (Fig 1D) The FL values were highly heterogen-eous among buffers Ottorsquos and LB01 were the bestbuffers with Ottorsquos providing lower CV values and higherFL but lower YF and higher BF than LB01 (Table 3)

Celtis australis

Low CV values (lt30 ) and low DF (lt100 ) wereobserved for this species Nevertheless it was not easy toobtain suffiecient nuclei and the second lowest YF valueswere observed in this species With regard to FL onlyLB01 and TrisMgCl2 buffers were not statistically dif-ferent with nuclei isolated from Galbraithrsquos buffer pre-senting the lowest mean FL and Ottorsquos the highest meanFL All parameters combined TrisMgCl2 and LB01 werethe best buffers as nuclei in TrisMgCl2 presented thelowest CV values and similar FL intensity and YF valuesas in LB01 (Table 3 Fig 1E)

Pisum sativum

In this species all buffers performed reasonably wellThe lowest FL intensities were obtained for nucleiisolated with TrisMgCl2 although no statistically signi-ficant differences were observed among the tested buffersThe best buffer for this species was Ottorsquos (Table 3Fig 1F) Among the investigated species P sativum wasthe one with the highest YF

Festuca rothmaleri

With the exception of CV values and YF overall resultsfor this species were satisfying with all four buffers testedNo statistically significant differences were found regard-ing the FL of nuclei isolated in TrisMgCl2 or Galbraithrsquosbuffers as nuclei from both buffers presented low FLvalues The best buffer for this species was LB01 (Table 3Fig 1G)

Vicia faba

This species gave the lowest CV and DF values amongthose tested Generally the results were very similar tothose obtained for P sativum FL was similar for all thebuffers and no statistically significant differences wereobserved Interestingly Vicia faba was the only species

for which Ottorsquos was not the buffer with the highest FL(Fig 1H) Despite low CV values of DNA peaks thisbuffer gave the worst results with the G0G1 peak shiftedtowards the lower channels This was due to fluorescenceinstability which decreased over time In all other speciesand with the remaining buffers FL was stable after 10 minof incubation with PI (Fig 1A) Results obtained withLB01 and Galbraithrsquos buffers were similar and the best forthis species (Table 3)

Analysis of FS and SS

Generally FS and SS values differed considerablyamong the test buffers Nevertheless in most of thespecies analysis of scatter parameters revealed that two ofthe four buffers were more similar than the others and nostatistically significant differences were observed betweenthem Interestingly and with the exception of S burritobuffers that had similar FS mean values were not thosethat had similar SS values This can be seen on cytogramsof FS vs SS obtained in P sativum (Fig 2) In thisspecies and for FS no statistically significant differenceswere observed between LB01 and Galbraithrsquos buffers forSS no difference was observed for Galbraithrsquos and Ottorsquosbuffers Interestingly simultaneous analysis of FS and SSresulted in a species-specific pattern that could be used asa fingerprint of each buffer

Effect of operator and date of analysis

In most cases no statistically significant differenceswere observed between operators and dates of analysisOperators provided more homogeneous results than datesin the former statistically significant differences wereobserved only for BF and YF in more than one speciesSignificant differences between the dates of analysis weredetected in some species for FS SS CV and BF Withregard to FL one of the most important parameters inFCM analyses significant among-day differences weredetected only in C australis and differences betweenoperators occurred only in L esculentum The two speciesmore susceptible to differences were L esculentum andV faba (Table 4)

Hierarchical cluster analysis

With the exception of the results for S burrito the fourbuffers fell into two highly dissimilar and consistentclusters one with Ottorsquos buffer and the other with theremaining buffers In S burrito (Fig 3A) one cluster wasformed with Ottorsquos and Galbraithrsquos buffers while theother comprised TrisMgCl2 and LB01 buffers InC australis (Fig 3C) Galbraithrsquos buffer was more similarto LB01 and TrisMgCl2 buffers than to Ottorsquos buffer inaddition lsquoTrisMgCl2 Arsquo was more similar to LB01 thanto lsquoTrisMgCl2 Brsquo In P sativum lsquoGalbraithrsquos Arsquo wasmore related to LB01 than to lsquoGalbraithrsquos Brsquo (Fig 3D)whereas for F rothmaleri lsquoLB01 Arsquo was more similar toGalbraithrsquos than to lsquoLB01 Brsquo (Fig 3E) In L esculentumtwo groups were formed from the second clusterTrisMgCl2 and lsquoGalbraith Arsquo formed one group and

684 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

FS log

C

SS lo

g

1 10 100 10000middot1

0middot1

1

10

100

1000

Meanchannel

FSSS 18middot2

TrisMgCl2

37middot8735middot6960middot7()

FPCV

Meanchannel

FSSS

LB01ASS

log

0middot1

1

10

100

1000

10middot045middot4

30middot0226middot09()

FPCV

FSSS 3middot1 37middot24

29middot936middot0

Ottorsquos

FS log

D

1 10 100 10000middot1

Meanchannel ()

FPCV

FS 52middot1 28middot42SS 5middot2 39middot04

GalbraithsB

Meanchannel ()

FPCV

F I G 2 Cytograms of forward scatter (logarithmic scale FS log) vs side scatter (logarithmic scale SS log) obtained after the analysis of Pisum sativum nucleiisolated with four lysis buffers (A) LB01 (B) Galbraithrsquos (C) TrisMgCl2 and (D) Ottorsquos The mean channel number and full peak coefficient of variation

(FPCV ) are given for both parameters Note that the patterns of distributions are characteristic for each buffer

T A B L E 4 Three-way ANOVA analysis of the dates (D) and operators (O) for the parameters evaluated on each species

FS SS FL CV BF YF

Species D O D O D O D O D O D O

Sedum burrito ns ns ns ns ns ns ns ns s ns ns nsOxalis pes-caprae s ns s ns ns ns s ns ns ns ns nsLycopersicon esculentum s ns ns ns ns s s ns s s s sCeltis australis ns ns ns ns s ns ns ns s ns ns nsPisum sativum ns ns s ns ns ns s ns s ns ns nsFestuca rothmaleri s ns ns ns ns ns ns ns ns s ns nsVicia faba ns s s s ns ns ns ns ns ns s s

Forward scatter FS side scatter SS fluorescence FL coefficient of variation of the G0G1 DNA peak CV background factor BF and nuclearyield factor YF

ns not significantly different s significantly different at P lt 005

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 685

LB01 and lsquoGalbraith Brsquo formed the other (Fig 3B) InV faba (Fig 3F) LB01 and Galbraithrsquos formed one groupowing to greater similarities between operators thanwithin each buffer As previously stated in O pes-capraeonly two buffers (Ottorsquos and Galbraithrsquos) providedacceptable results with considerable dissimilaritiesbetween them (data not shown)

DISCUSSION

Four nuclear isolation buffers were used with a setof species that were chosen to represent different types

of leaf tissues and different nuclear DNA content(130ndash2690 pg per 2C DNA) As expected popularDNA reference standards (P sativum V faba andL esculentum) were easy to work with Neverthelessnot all buffers worked well with L esculentumpossibly owing to the presence of cytosolic compoundsHowever as the aim of the study was to compare theperformance of basic buffer formulas the use of additivesthat could counteract the negative effects of cytosol wasavoided

Overall the best results were obtained with P sativumAs its 2C nuclear DNA content is in the middle of theknown range of genome sizes in plants this observation

A

C

E

B

D

F

Dissimilarity Dissimilarity

2middot0 1middot5 1middot0 0middot5 0middot02middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0 2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths A

Galbraiths B

TrisMgCl2 A

TrisMgCl2 B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

F I G 3 Dendrograms obtained after hierarchical cluster analysis of the following species (A) Sedum burrito (B) Lycopersicon esculentum (C) Celtisaustralis (D) Pisum sativum (E) Festuca rothmaleri (F) Vicia faba according to the parameters FS SS FL CV BF and YF With the exception of S burrito

the four buffers fell into two highly dissimilar clusters of the same buffers

686 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

underlines its position as one of the best standards forplant DNA FCM By contrast Sedum burrito was themost difficult species to analyse due to low DNA contentoccurrence of polysomaty and high leaf water contentwhich hampered sample preparation and analysis More-over its tissues may contain tannins (J Greilhuber perscomm 2006)

In O pes-caprae cytosol of which is highly acidic(pH lt 30) measurable samples could be prepared usingonly Ottorsquos and Galbraithrsquos buffers with Ottorsquos beinghighly superior This is in accordance with the results ofEmshwiller (2002) who analysed ploidy levels in OxalisAfter testing LB01 MgSO4 and Ottorsquos buffers sheobtained measurable samples only with Ottorsquos The formertwo buffers failed presumably as a result of the acidic cellsap which may have exceeded the buffering capacity ofLB01 and MgSO4

Celtis australis was the only woody plant speciesincluded in the present study and was chosen because ofthe presence of mucilaginous compounds (Rodriguez et al2005a) which increase sample viscosity restrain nucleirelease and cause their clumping Interestingly this wasthe only species for which TrisMgCl2 was the bestperforming buffer This was probably because of a higherconcentration of the non-ionic detergent which sup-pressed the effect of mucilaginous compounds Leaftissues of F rothmaleri were particularly hard anddifficult to chop In addition preliminary experimentswith this species revealed the presence of cytosoliccompounds which would be expected to interfere withDNA staining However given the pattern of FS and SSobtained the so-called lsquotannic acid effectrsquo (Loureiro et al2006) was absent indicating that these compounds werereleased at low concentration or not at all

In order to compare the performance of nuclear isolationbuffers a set of parameters was carefully selected toevaluate sample quality Furthermore stability of fluores-cence and light scatter properties of isolated nuclei overtime were confirmed Among the parameters chosen thecoefficient of variation of DNA peaks (CV) is of majorimportance Galbraith et al (2002) considered 50 asthe maximum acceptable CV value in plant DNA flowcytometry With the exception of TrisMgCl2 buffer whenused with S burrito all mean CV values obtained hereinwere below this limit Ideally a nuclei sample should befree of cell and tissue debris Emshwiller (2002) noted acorrelation between CV and background noise In thepresent study this correlation was found only in somespecies (eg F rothmaleri) Rather the results heresuggest that the extent of background debris is determinedby the buffer itself For example a higher detergentconcentration in a buffer could lead to chloroplast lysisand consequently decrease the number of fluorescentparticles contributing to debris signals (Coba de la Penaand Brown 2001)

LB01 buffer provided very good results with theexception of O pes-caprae and S burrito low CV highFL and YF values were obtained with this buffer Highnuclei FL intensities obtained with this buffer weredefinitely an advantage as compared with TrisMgCl2 and

Galbraithrsquos buffers Galbraithrsquos buffer seems well bal-anced as acceptable results were achieved in all speciesSurprisingly the buffer gave reasonable results also withO pes-caprae which is characterized by highly acidiccytosol The presence of MOPS in the buffer may shedlight on these findings as it has a pKa of 72 and a betterbuffering capacity than TRIS with a pKa of 81 Adisadvantage of this buffer was the low fluorescenceintensity of nuclei Collectively TrisMgCl2 was the worstperforming buffer Nevertheless it provided the bestresults for C australis This may have been due to thehigher concentration of non-ionic detergent (Table 1)which counteracted the agglutinating effect of mucilagin-ous compounds and decreased sample viscosity As withGalbraithrsquos buffer low FL values were obtained withTrisMgCl2

Ottorsquos buffer is unique in that sample preparationinvolves two steps The results obtained with Ottorsquos bufferwere excellent in many species especially those withlower nuclear DNA content Dolezel and Bartos (2005)highlighted the quality of this buffer which is known toprovide DNA content histograms with unequalled resolu-tion One explanation for this may be that citric acidimproves chromatin accessibility and lsquohomogenizesrsquo chro-matin structure eliminating differences in staining intens-ity among nuclei with the same DNA content but differentchromatin state This could explain the highest FL andlowest CV values as observed here Another characteristicof this buffer was that light scatter values (especially FS)were significantly lower than those of other buffers Thismay be explained by the action of citric acid whichcauses nuclei fixation (Dolezel and Bartos 2005) It isnoteworthy that the pattern of FS vs SS distribution wassimilar to that obtained when analysing nuclei fixed withformaldehyde (Rodriguez et al 2005b) Althoughproviding excellent results this buffer gave the highestBF and lowest YF values The former can be explained bynuclei instability after the addition of Otto II After thisstep nuclei deteriorate rapidly in some species (J Dolezelunpubl res) The lowest YF values could be due to thedetergent (Tween 20) which is weaker than Triton X-100thus having a lower capacity to release nuclei

An important consequence of the observation ofdifferent fluorescence values obtained with the differentbuffers is that different fluorescence ratios may beexpected with the same species pair if the samples areprepared in different buffers In fact Dolezel et al (1998)observed differences in peak ratios obtained in differentlaboratories Further studies are needed to confirm thisobservation as it may have important consequences forestimation of genome size

The present results showed that well-defined popula-tions of nuclei could be observed on cytograms of FS vsSS With the exception of S burrito for which LB01 andTrisMgCl2 buffers did not present statistically significantdifferences for both parameters the analysis of FS and SSprovided a fingerprint pattern for each buffer Loureiroet al (2006) showed that these parameters were sensitiveto the presence of tannic acid a cytosolic compoundcommon in plants and recommended the analysis of light

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 687

scatter to verify suitability of particular samples for plantDNA FCM

As nuclei samples are prepared manually it wasimportant to assess the effect of date of analysis andoperator on sample quality variation Date was found to bemore significant than the effect of different operatorsespecially for FS SS CV and DF YF which depends onthe way the sample is chopped and hence on the operatordid not vary It was expected that FL which is a primarysource of data in FCM analysis would not depend on theoperator or the day of chopping This was confirmed in allspecies except L esculentum and C australis In theformer species a significant variation was obtainedbetween operators These differences could be explainedby variable results obtained with Galbraithrsquos buffer InC australis significant differences were obtained amongdates In this case significant differences were due toresults obtained on one single day Emshwiller (2002)found significant differences when multiple preparationsfrom the same plant were run on different days Thesedifferences and those found in the present study wereprobably due to instrument drift (Kudo and Kimura2001) To avoid this type of error several authors haverecommended that each measurement be repeated at leastthree times on three different days (Suda 2004 Dolezeland Bartos 2005)

This is the first study that has systematically comparednuclear isolation buffers for DNA FCM The results showthat none of the buffers works best with all species andstatistically significant differences in sample quality wereobserved among the four buffers The results obtainedwith different species and contrasting types of leaf tissuescan serve as guidelines in buffer selection Nevertheless itis recommend that a range of buffers be tested whenworking with a new species and tissue type Once the bestbuffer has been identified additives should be tested ifrequired to suppress negative effects of phenols and othercytosolic compounds

ACKNOWLEDGEMENTS

We are grateful to Prof Johann Greilhuber and Dr JanSuda for critical reading of the manuscript This work wassupported by FCT project ref POCTIAGR606722004JL was supported by the Fellowship FCTBD90032002

LITERATURE CITEDBennett MD Leitch I 2005 Genome size evolution in plants In

Gregory T ed The evolution of the genome London ElsevierAcademic Press 89ndash162

Bergounioux C Perennes C Brown SC Gadal P 1988 Cytometricanalysis of growth regulator-dependent transcription and cell cycleprogression in Petunia protoplast cultures Planta 175 500ndash505

Bergounioux C Brown SC Petit PX 1992 Flow cytometry and plantprotoplast cell biology Physiologia Plantarum 85 374ndash386

Castro S Loureiro J Santos C Ayensa G Navarro L 2005 Differentploidy levels could explain reproductive matter of invasive Oxalispes-caprae L in Mediterranean regions In Brunel S ed Invasiveplants in Mediterranean type regions of the world StrasbourgCedex France Council of Europe Publishing 235

Coba de la Pena T Brown SC 2001 Cytometry and fluorimetryIn Hawes C Satiat-Jeunemaıtre B eds Plant cell biology

a practical approach New York Oxford University Press85ndash106

Dolezel J Bartos J 2005 Plant DNA flow cytometry and estimation ofnuclear genome size Annals of Botany 95 99ndash110

Dolezel J Gohde W 1995 Sex determination in dioecious plantsMelandrium album and M rubrum using high-resolution flowcytometry Cytometry 19 103ndash106

Dolezel J Binarova P Lucretti S 1989 Analysis of nuclear DNAcontent in plant cells by flow cytometry Biologia Plantarum 31113ndash120

Dolezel J Sgorbati S Lucretti S 1992 Comparison of three DNAfluorochromes for flow cytometric estimation of nuclear DNAcontent in plants Physiologia Plantarum 85 625ndash631

Dolezel J Greilhuber J Lucretti S Meister A Lysak M Nardi LObermayer R 1998 Plant genome size estimation byflow cytometry inter-laboratory comparison Annals of Botany 8217ndash26

Dolezel J Bartos J Voglmayr H Greilhuber J 2003 Nuclear DNAcontent and genome size of trout and human Cytometry 51A127ndash128

Emshwiller E 2002 Ploidy levels among species in the lsquoOxalis tuberosaAlliancersquo as inferred by flow cytometry Annals of Botany 89741ndash753

Galbraith DW 2004 Cytometry and plant sciences a personalretrospective Cytometry 58A 37ndash44

Galbraith DW Harkins KR Maddox JM Ayres NM Sharma DPFiroozabady E 1983 Rapid flow cytometric analysis of the cell-cycle in intact plant-tissues Science 220 1049ndash1051

Galbraith DW Lambert GM Macas J Dolezel J 2002 Analysis ofnuclear DNA content and ploidy in higher plants In Robinson JPDarzynkiewicz Z Dean PN Dressler LG Rabinovitch PS StewartCV Tanke HJ Wheeless LL eds Current protocols in cytometryNew York John Wiley amp Sons 761ndash7622

Heller FO 1973 DNS-Bestimmung an Keimwurzeln von Vicia faba Lmit Hilfe der Impulscytophotometrie Bericht der DeutschenBotanischen Gesellschaft 86 437ndash441

Hintze J 2004 NCSS and PASS Kaysville Utah Number CruncherStatistical Systems

Kudo N Kimura Y 2001 Flow cytometric evidence for endopolyploidyin seedlings of some Brassica species Theoretical and AppliedGenetics 102 104ndash110

Loureiro J Rodriguez E Dolezel J Santos C 2006 Flow cytometricand microscopic analysis of the effect of tannic acid on plantnuclei and estimation of DNA content Annals of Botany 98515ndash527

Noirot M Barre P Louarn J Duperray C Hamon S 2000 Nucleusndashcytosol interactionsmdashA source of stoichiometric error in flowcytometric estimation of nuclear DNA content in plants Annals ofBotany 86 309ndash316

Noirot M Barre P Duperray C Louarn J Hamon S 2003 Effects ofcaffeine and chlorogenic acid on propidium iodide accessibility toDNA consequences on genome size evaluation in coffee treeAnnals of Botany 92 259ndash264

Otto F 1992 Preparation and staining of cells for high-resolution DNAanalysis In Radbruch A ed Flow cytometry and cell sortingBerlin Springer-Verlag 101ndash104

Pfosser M Amon A Lelley T Heberle-Bors E 1995 Evaluation ofsensitivity of flow cytometry in detecting aneuploidy in wheat usingdisomic and ditelosomic wheat-rye addition lines Cytometry 21387ndash393

Pinto G Loureiro J Lopes T Santos C 2004 Analysis of the geneticstability of Eucalyptus globulus Labill somatic embryos by flowcytometry Theoretical and Applied Genetics 109 580ndash587

Rodriguez E Gomes A Loureiro J Dolezel J Santos C 2005aEstimation of the genome size of the Iberian Peninsula Ulmaceae In9th Iberian Congress of Cytometry Book of Abstracts PortoPortugal 37

Rodriguez E Loureiro J Dolezel J Santos C 2005b The adequacy ofusing formaldehyde fixation for nuclear DNA content analyses ofplant material In 9th Iberian Congress of Cytometry Book ofAbstracts Porto Portugal PO120-PB

Shapiro H 2004 Practical flow cytometry 4th edn New YorkWiley-Liss

688 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

Suda J 2004 An employment of flow cytometry into plant biosystematicsPhD thesis Charles University Czech Republic Available at httpwwwibotcasczfcmsudapresentationdisertationpdf

Trotter J 2000 WinMDI version 28 Available at httpfacsscrippsedusoftwarehtml

Ulrich I Ulrich W 1986 Flow cytometric DNA analysis of plantprotoplasts with DAPI Zeitschrift fur Naturforschung 411052ndash1056

Ulrich I Fritz B Ulrich W 1988 Application of DNA fluorochromes forflow cytometric DNA analysis of plant protoplasts Plant Science 55151ndash158

Walker D Monino I Correal E 2006 Genome size inBituminaria bituminosa (L) CH Stirton (Fabaceae) populationsseparation of lsquotruersquo differences from environmental effects on DNAdetermination Environmental and Experimental Botany 55258ndash265

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 689

significantly better than Galbraithrsquos (Fig 1C) with highermean FL intensities and lower CV values (Table 3)Figure 1C also shows the histogram obtained after nuclearisolation with TrisMgCl2 buffer In this case a G0G1 peakwith an unacceptable CV value (974 ) and considerableloss of fluorescence was obtained A similar result wasobtained for nuclei isolated with LB01

Lycopersicon esculentum

Acceptable results were obtained with all four buffersTwo buffer groups with statistically significant differencesin FL were obtained Samples prepared with Galbraithrsquosand TrisMgCl2 buffers yielded lower mean FL valuesthan their counterparts prepared with LB01 and Ottorsquosbuffers (Fig 1D) The FL values were highly heterogen-eous among buffers Ottorsquos and LB01 were the bestbuffers with Ottorsquos providing lower CV values and higherFL but lower YF and higher BF than LB01 (Table 3)

Celtis australis

Low CV values (lt30 ) and low DF (lt100 ) wereobserved for this species Nevertheless it was not easy toobtain suffiecient nuclei and the second lowest YF valueswere observed in this species With regard to FL onlyLB01 and TrisMgCl2 buffers were not statistically dif-ferent with nuclei isolated from Galbraithrsquos buffer pre-senting the lowest mean FL and Ottorsquos the highest meanFL All parameters combined TrisMgCl2 and LB01 werethe best buffers as nuclei in TrisMgCl2 presented thelowest CV values and similar FL intensity and YF valuesas in LB01 (Table 3 Fig 1E)

Pisum sativum

In this species all buffers performed reasonably wellThe lowest FL intensities were obtained for nucleiisolated with TrisMgCl2 although no statistically signi-ficant differences were observed among the tested buffersThe best buffer for this species was Ottorsquos (Table 3Fig 1F) Among the investigated species P sativum wasthe one with the highest YF

Festuca rothmaleri

With the exception of CV values and YF overall resultsfor this species were satisfying with all four buffers testedNo statistically significant differences were found regard-ing the FL of nuclei isolated in TrisMgCl2 or Galbraithrsquosbuffers as nuclei from both buffers presented low FLvalues The best buffer for this species was LB01 (Table 3Fig 1G)

Vicia faba

This species gave the lowest CV and DF values amongthose tested Generally the results were very similar tothose obtained for P sativum FL was similar for all thebuffers and no statistically significant differences wereobserved Interestingly Vicia faba was the only species

for which Ottorsquos was not the buffer with the highest FL(Fig 1H) Despite low CV values of DNA peaks thisbuffer gave the worst results with the G0G1 peak shiftedtowards the lower channels This was due to fluorescenceinstability which decreased over time In all other speciesand with the remaining buffers FL was stable after 10 minof incubation with PI (Fig 1A) Results obtained withLB01 and Galbraithrsquos buffers were similar and the best forthis species (Table 3)

Analysis of FS and SS

Generally FS and SS values differed considerablyamong the test buffers Nevertheless in most of thespecies analysis of scatter parameters revealed that two ofthe four buffers were more similar than the others and nostatistically significant differences were observed betweenthem Interestingly and with the exception of S burritobuffers that had similar FS mean values were not thosethat had similar SS values This can be seen on cytogramsof FS vs SS obtained in P sativum (Fig 2) In thisspecies and for FS no statistically significant differenceswere observed between LB01 and Galbraithrsquos buffers forSS no difference was observed for Galbraithrsquos and Ottorsquosbuffers Interestingly simultaneous analysis of FS and SSresulted in a species-specific pattern that could be used asa fingerprint of each buffer

Effect of operator and date of analysis

In most cases no statistically significant differenceswere observed between operators and dates of analysisOperators provided more homogeneous results than datesin the former statistically significant differences wereobserved only for BF and YF in more than one speciesSignificant differences between the dates of analysis weredetected in some species for FS SS CV and BF Withregard to FL one of the most important parameters inFCM analyses significant among-day differences weredetected only in C australis and differences betweenoperators occurred only in L esculentum The two speciesmore susceptible to differences were L esculentum andV faba (Table 4)

Hierarchical cluster analysis

With the exception of the results for S burrito the fourbuffers fell into two highly dissimilar and consistentclusters one with Ottorsquos buffer and the other with theremaining buffers In S burrito (Fig 3A) one cluster wasformed with Ottorsquos and Galbraithrsquos buffers while theother comprised TrisMgCl2 and LB01 buffers InC australis (Fig 3C) Galbraithrsquos buffer was more similarto LB01 and TrisMgCl2 buffers than to Ottorsquos buffer inaddition lsquoTrisMgCl2 Arsquo was more similar to LB01 thanto lsquoTrisMgCl2 Brsquo In P sativum lsquoGalbraithrsquos Arsquo wasmore related to LB01 than to lsquoGalbraithrsquos Brsquo (Fig 3D)whereas for F rothmaleri lsquoLB01 Arsquo was more similar toGalbraithrsquos than to lsquoLB01 Brsquo (Fig 3E) In L esculentumtwo groups were formed from the second clusterTrisMgCl2 and lsquoGalbraith Arsquo formed one group and

684 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

FS log

C

SS lo

g

1 10 100 10000middot1

0middot1

1

10

100

1000

Meanchannel

FSSS 18middot2

TrisMgCl2

37middot8735middot6960middot7()

FPCV

Meanchannel

FSSS

LB01ASS

log

0middot1

1

10

100

1000

10middot045middot4

30middot0226middot09()

FPCV

FSSS 3middot1 37middot24

29middot936middot0

Ottorsquos

FS log

D

1 10 100 10000middot1

Meanchannel ()

FPCV

FS 52middot1 28middot42SS 5middot2 39middot04

GalbraithsB

Meanchannel ()

FPCV

F I G 2 Cytograms of forward scatter (logarithmic scale FS log) vs side scatter (logarithmic scale SS log) obtained after the analysis of Pisum sativum nucleiisolated with four lysis buffers (A) LB01 (B) Galbraithrsquos (C) TrisMgCl2 and (D) Ottorsquos The mean channel number and full peak coefficient of variation

(FPCV ) are given for both parameters Note that the patterns of distributions are characteristic for each buffer

T A B L E 4 Three-way ANOVA analysis of the dates (D) and operators (O) for the parameters evaluated on each species

FS SS FL CV BF YF

Species D O D O D O D O D O D O

Sedum burrito ns ns ns ns ns ns ns ns s ns ns nsOxalis pes-caprae s ns s ns ns ns s ns ns ns ns nsLycopersicon esculentum s ns ns ns ns s s ns s s s sCeltis australis ns ns ns ns s ns ns ns s ns ns nsPisum sativum ns ns s ns ns ns s ns s ns ns nsFestuca rothmaleri s ns ns ns ns ns ns ns ns s ns nsVicia faba ns s s s ns ns ns ns ns ns s s

Forward scatter FS side scatter SS fluorescence FL coefficient of variation of the G0G1 DNA peak CV background factor BF and nuclearyield factor YF

ns not significantly different s significantly different at P lt 005

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 685

LB01 and lsquoGalbraith Brsquo formed the other (Fig 3B) InV faba (Fig 3F) LB01 and Galbraithrsquos formed one groupowing to greater similarities between operators thanwithin each buffer As previously stated in O pes-capraeonly two buffers (Ottorsquos and Galbraithrsquos) providedacceptable results with considerable dissimilaritiesbetween them (data not shown)

DISCUSSION

Four nuclear isolation buffers were used with a setof species that were chosen to represent different types

of leaf tissues and different nuclear DNA content(130ndash2690 pg per 2C DNA) As expected popularDNA reference standards (P sativum V faba andL esculentum) were easy to work with Neverthelessnot all buffers worked well with L esculentumpossibly owing to the presence of cytosolic compoundsHowever as the aim of the study was to compare theperformance of basic buffer formulas the use of additivesthat could counteract the negative effects of cytosol wasavoided

Overall the best results were obtained with P sativumAs its 2C nuclear DNA content is in the middle of theknown range of genome sizes in plants this observation

A

C

E

B

D

F

Dissimilarity Dissimilarity

2middot0 1middot5 1middot0 0middot5 0middot02middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0 2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths A

Galbraiths B

TrisMgCl2 A

TrisMgCl2 B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

F I G 3 Dendrograms obtained after hierarchical cluster analysis of the following species (A) Sedum burrito (B) Lycopersicon esculentum (C) Celtisaustralis (D) Pisum sativum (E) Festuca rothmaleri (F) Vicia faba according to the parameters FS SS FL CV BF and YF With the exception of S burrito

the four buffers fell into two highly dissimilar clusters of the same buffers

686 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

underlines its position as one of the best standards forplant DNA FCM By contrast Sedum burrito was themost difficult species to analyse due to low DNA contentoccurrence of polysomaty and high leaf water contentwhich hampered sample preparation and analysis More-over its tissues may contain tannins (J Greilhuber perscomm 2006)

In O pes-caprae cytosol of which is highly acidic(pH lt 30) measurable samples could be prepared usingonly Ottorsquos and Galbraithrsquos buffers with Ottorsquos beinghighly superior This is in accordance with the results ofEmshwiller (2002) who analysed ploidy levels in OxalisAfter testing LB01 MgSO4 and Ottorsquos buffers sheobtained measurable samples only with Ottorsquos The formertwo buffers failed presumably as a result of the acidic cellsap which may have exceeded the buffering capacity ofLB01 and MgSO4

Celtis australis was the only woody plant speciesincluded in the present study and was chosen because ofthe presence of mucilaginous compounds (Rodriguez et al2005a) which increase sample viscosity restrain nucleirelease and cause their clumping Interestingly this wasthe only species for which TrisMgCl2 was the bestperforming buffer This was probably because of a higherconcentration of the non-ionic detergent which sup-pressed the effect of mucilaginous compounds Leaftissues of F rothmaleri were particularly hard anddifficult to chop In addition preliminary experimentswith this species revealed the presence of cytosoliccompounds which would be expected to interfere withDNA staining However given the pattern of FS and SSobtained the so-called lsquotannic acid effectrsquo (Loureiro et al2006) was absent indicating that these compounds werereleased at low concentration or not at all

In order to compare the performance of nuclear isolationbuffers a set of parameters was carefully selected toevaluate sample quality Furthermore stability of fluores-cence and light scatter properties of isolated nuclei overtime were confirmed Among the parameters chosen thecoefficient of variation of DNA peaks (CV) is of majorimportance Galbraith et al (2002) considered 50 asthe maximum acceptable CV value in plant DNA flowcytometry With the exception of TrisMgCl2 buffer whenused with S burrito all mean CV values obtained hereinwere below this limit Ideally a nuclei sample should befree of cell and tissue debris Emshwiller (2002) noted acorrelation between CV and background noise In thepresent study this correlation was found only in somespecies (eg F rothmaleri) Rather the results heresuggest that the extent of background debris is determinedby the buffer itself For example a higher detergentconcentration in a buffer could lead to chloroplast lysisand consequently decrease the number of fluorescentparticles contributing to debris signals (Coba de la Penaand Brown 2001)

LB01 buffer provided very good results with theexception of O pes-caprae and S burrito low CV highFL and YF values were obtained with this buffer Highnuclei FL intensities obtained with this buffer weredefinitely an advantage as compared with TrisMgCl2 and

Galbraithrsquos buffers Galbraithrsquos buffer seems well bal-anced as acceptable results were achieved in all speciesSurprisingly the buffer gave reasonable results also withO pes-caprae which is characterized by highly acidiccytosol The presence of MOPS in the buffer may shedlight on these findings as it has a pKa of 72 and a betterbuffering capacity than TRIS with a pKa of 81 Adisadvantage of this buffer was the low fluorescenceintensity of nuclei Collectively TrisMgCl2 was the worstperforming buffer Nevertheless it provided the bestresults for C australis This may have been due to thehigher concentration of non-ionic detergent (Table 1)which counteracted the agglutinating effect of mucilagin-ous compounds and decreased sample viscosity As withGalbraithrsquos buffer low FL values were obtained withTrisMgCl2

Ottorsquos buffer is unique in that sample preparationinvolves two steps The results obtained with Ottorsquos bufferwere excellent in many species especially those withlower nuclear DNA content Dolezel and Bartos (2005)highlighted the quality of this buffer which is known toprovide DNA content histograms with unequalled resolu-tion One explanation for this may be that citric acidimproves chromatin accessibility and lsquohomogenizesrsquo chro-matin structure eliminating differences in staining intens-ity among nuclei with the same DNA content but differentchromatin state This could explain the highest FL andlowest CV values as observed here Another characteristicof this buffer was that light scatter values (especially FS)were significantly lower than those of other buffers Thismay be explained by the action of citric acid whichcauses nuclei fixation (Dolezel and Bartos 2005) It isnoteworthy that the pattern of FS vs SS distribution wassimilar to that obtained when analysing nuclei fixed withformaldehyde (Rodriguez et al 2005b) Althoughproviding excellent results this buffer gave the highestBF and lowest YF values The former can be explained bynuclei instability after the addition of Otto II After thisstep nuclei deteriorate rapidly in some species (J Dolezelunpubl res) The lowest YF values could be due to thedetergent (Tween 20) which is weaker than Triton X-100thus having a lower capacity to release nuclei

An important consequence of the observation ofdifferent fluorescence values obtained with the differentbuffers is that different fluorescence ratios may beexpected with the same species pair if the samples areprepared in different buffers In fact Dolezel et al (1998)observed differences in peak ratios obtained in differentlaboratories Further studies are needed to confirm thisobservation as it may have important consequences forestimation of genome size

The present results showed that well-defined popula-tions of nuclei could be observed on cytograms of FS vsSS With the exception of S burrito for which LB01 andTrisMgCl2 buffers did not present statistically significantdifferences for both parameters the analysis of FS and SSprovided a fingerprint pattern for each buffer Loureiroet al (2006) showed that these parameters were sensitiveto the presence of tannic acid a cytosolic compoundcommon in plants and recommended the analysis of light

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 687

scatter to verify suitability of particular samples for plantDNA FCM

As nuclei samples are prepared manually it wasimportant to assess the effect of date of analysis andoperator on sample quality variation Date was found to bemore significant than the effect of different operatorsespecially for FS SS CV and DF YF which depends onthe way the sample is chopped and hence on the operatordid not vary It was expected that FL which is a primarysource of data in FCM analysis would not depend on theoperator or the day of chopping This was confirmed in allspecies except L esculentum and C australis In theformer species a significant variation was obtainedbetween operators These differences could be explainedby variable results obtained with Galbraithrsquos buffer InC australis significant differences were obtained amongdates In this case significant differences were due toresults obtained on one single day Emshwiller (2002)found significant differences when multiple preparationsfrom the same plant were run on different days Thesedifferences and those found in the present study wereprobably due to instrument drift (Kudo and Kimura2001) To avoid this type of error several authors haverecommended that each measurement be repeated at leastthree times on three different days (Suda 2004 Dolezeland Bartos 2005)

This is the first study that has systematically comparednuclear isolation buffers for DNA FCM The results showthat none of the buffers works best with all species andstatistically significant differences in sample quality wereobserved among the four buffers The results obtainedwith different species and contrasting types of leaf tissuescan serve as guidelines in buffer selection Nevertheless itis recommend that a range of buffers be tested whenworking with a new species and tissue type Once the bestbuffer has been identified additives should be tested ifrequired to suppress negative effects of phenols and othercytosolic compounds

ACKNOWLEDGEMENTS

We are grateful to Prof Johann Greilhuber and Dr JanSuda for critical reading of the manuscript This work wassupported by FCT project ref POCTIAGR606722004JL was supported by the Fellowship FCTBD90032002

LITERATURE CITEDBennett MD Leitch I 2005 Genome size evolution in plants In

Gregory T ed The evolution of the genome London ElsevierAcademic Press 89ndash162

Bergounioux C Perennes C Brown SC Gadal P 1988 Cytometricanalysis of growth regulator-dependent transcription and cell cycleprogression in Petunia protoplast cultures Planta 175 500ndash505

Bergounioux C Brown SC Petit PX 1992 Flow cytometry and plantprotoplast cell biology Physiologia Plantarum 85 374ndash386

Castro S Loureiro J Santos C Ayensa G Navarro L 2005 Differentploidy levels could explain reproductive matter of invasive Oxalispes-caprae L in Mediterranean regions In Brunel S ed Invasiveplants in Mediterranean type regions of the world StrasbourgCedex France Council of Europe Publishing 235

Coba de la Pena T Brown SC 2001 Cytometry and fluorimetryIn Hawes C Satiat-Jeunemaıtre B eds Plant cell biology

a practical approach New York Oxford University Press85ndash106

Dolezel J Bartos J 2005 Plant DNA flow cytometry and estimation ofnuclear genome size Annals of Botany 95 99ndash110

Dolezel J Gohde W 1995 Sex determination in dioecious plantsMelandrium album and M rubrum using high-resolution flowcytometry Cytometry 19 103ndash106

Dolezel J Binarova P Lucretti S 1989 Analysis of nuclear DNAcontent in plant cells by flow cytometry Biologia Plantarum 31113ndash120

Dolezel J Sgorbati S Lucretti S 1992 Comparison of three DNAfluorochromes for flow cytometric estimation of nuclear DNAcontent in plants Physiologia Plantarum 85 625ndash631

Dolezel J Greilhuber J Lucretti S Meister A Lysak M Nardi LObermayer R 1998 Plant genome size estimation byflow cytometry inter-laboratory comparison Annals of Botany 8217ndash26

Dolezel J Bartos J Voglmayr H Greilhuber J 2003 Nuclear DNAcontent and genome size of trout and human Cytometry 51A127ndash128

Emshwiller E 2002 Ploidy levels among species in the lsquoOxalis tuberosaAlliancersquo as inferred by flow cytometry Annals of Botany 89741ndash753

Galbraith DW 2004 Cytometry and plant sciences a personalretrospective Cytometry 58A 37ndash44

Galbraith DW Harkins KR Maddox JM Ayres NM Sharma DPFiroozabady E 1983 Rapid flow cytometric analysis of the cell-cycle in intact plant-tissues Science 220 1049ndash1051

Galbraith DW Lambert GM Macas J Dolezel J 2002 Analysis ofnuclear DNA content and ploidy in higher plants In Robinson JPDarzynkiewicz Z Dean PN Dressler LG Rabinovitch PS StewartCV Tanke HJ Wheeless LL eds Current protocols in cytometryNew York John Wiley amp Sons 761ndash7622

Heller FO 1973 DNS-Bestimmung an Keimwurzeln von Vicia faba Lmit Hilfe der Impulscytophotometrie Bericht der DeutschenBotanischen Gesellschaft 86 437ndash441

Hintze J 2004 NCSS and PASS Kaysville Utah Number CruncherStatistical Systems

Kudo N Kimura Y 2001 Flow cytometric evidence for endopolyploidyin seedlings of some Brassica species Theoretical and AppliedGenetics 102 104ndash110

Loureiro J Rodriguez E Dolezel J Santos C 2006 Flow cytometricand microscopic analysis of the effect of tannic acid on plantnuclei and estimation of DNA content Annals of Botany 98515ndash527

Noirot M Barre P Louarn J Duperray C Hamon S 2000 Nucleusndashcytosol interactionsmdashA source of stoichiometric error in flowcytometric estimation of nuclear DNA content in plants Annals ofBotany 86 309ndash316

Noirot M Barre P Duperray C Louarn J Hamon S 2003 Effects ofcaffeine and chlorogenic acid on propidium iodide accessibility toDNA consequences on genome size evaluation in coffee treeAnnals of Botany 92 259ndash264

Otto F 1992 Preparation and staining of cells for high-resolution DNAanalysis In Radbruch A ed Flow cytometry and cell sortingBerlin Springer-Verlag 101ndash104

Pfosser M Amon A Lelley T Heberle-Bors E 1995 Evaluation ofsensitivity of flow cytometry in detecting aneuploidy in wheat usingdisomic and ditelosomic wheat-rye addition lines Cytometry 21387ndash393

Pinto G Loureiro J Lopes T Santos C 2004 Analysis of the geneticstability of Eucalyptus globulus Labill somatic embryos by flowcytometry Theoretical and Applied Genetics 109 580ndash587

Rodriguez E Gomes A Loureiro J Dolezel J Santos C 2005aEstimation of the genome size of the Iberian Peninsula Ulmaceae In9th Iberian Congress of Cytometry Book of Abstracts PortoPortugal 37

Rodriguez E Loureiro J Dolezel J Santos C 2005b The adequacy ofusing formaldehyde fixation for nuclear DNA content analyses ofplant material In 9th Iberian Congress of Cytometry Book ofAbstracts Porto Portugal PO120-PB

Shapiro H 2004 Practical flow cytometry 4th edn New YorkWiley-Liss

688 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

Suda J 2004 An employment of flow cytometry into plant biosystematicsPhD thesis Charles University Czech Republic Available at httpwwwibotcasczfcmsudapresentationdisertationpdf

Trotter J 2000 WinMDI version 28 Available at httpfacsscrippsedusoftwarehtml

Ulrich I Ulrich W 1986 Flow cytometric DNA analysis of plantprotoplasts with DAPI Zeitschrift fur Naturforschung 411052ndash1056

Ulrich I Fritz B Ulrich W 1988 Application of DNA fluorochromes forflow cytometric DNA analysis of plant protoplasts Plant Science 55151ndash158

Walker D Monino I Correal E 2006 Genome size inBituminaria bituminosa (L) CH Stirton (Fabaceae) populationsseparation of lsquotruersquo differences from environmental effects on DNAdetermination Environmental and Experimental Botany 55258ndash265

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 689

FS log

C

SS lo

g

1 10 100 10000middot1

0middot1

1

10

100

1000

Meanchannel

FSSS 18middot2

TrisMgCl2

37middot8735middot6960middot7()

FPCV

Meanchannel

FSSS

LB01ASS

log

0middot1

1

10

100

1000

10middot045middot4

30middot0226middot09()

FPCV

FSSS 3middot1 37middot24

29middot936middot0

Ottorsquos

FS log

D

1 10 100 10000middot1

Meanchannel ()

FPCV

FS 52middot1 28middot42SS 5middot2 39middot04

GalbraithsB

Meanchannel ()

FPCV

F I G 2 Cytograms of forward scatter (logarithmic scale FS log) vs side scatter (logarithmic scale SS log) obtained after the analysis of Pisum sativum nucleiisolated with four lysis buffers (A) LB01 (B) Galbraithrsquos (C) TrisMgCl2 and (D) Ottorsquos The mean channel number and full peak coefficient of variation

(FPCV ) are given for both parameters Note that the patterns of distributions are characteristic for each buffer

T A B L E 4 Three-way ANOVA analysis of the dates (D) and operators (O) for the parameters evaluated on each species

FS SS FL CV BF YF

Species D O D O D O D O D O D O

Sedum burrito ns ns ns ns ns ns ns ns s ns ns nsOxalis pes-caprae s ns s ns ns ns s ns ns ns ns nsLycopersicon esculentum s ns ns ns ns s s ns s s s sCeltis australis ns ns ns ns s ns ns ns s ns ns nsPisum sativum ns ns s ns ns ns s ns s ns ns nsFestuca rothmaleri s ns ns ns ns ns ns ns ns s ns nsVicia faba ns s s s ns ns ns ns ns ns s s

Forward scatter FS side scatter SS fluorescence FL coefficient of variation of the G0G1 DNA peak CV background factor BF and nuclearyield factor YF

ns not significantly different s significantly different at P lt 005

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 685

LB01 and lsquoGalbraith Brsquo formed the other (Fig 3B) InV faba (Fig 3F) LB01 and Galbraithrsquos formed one groupowing to greater similarities between operators thanwithin each buffer As previously stated in O pes-capraeonly two buffers (Ottorsquos and Galbraithrsquos) providedacceptable results with considerable dissimilaritiesbetween them (data not shown)

DISCUSSION

Four nuclear isolation buffers were used with a setof species that were chosen to represent different types

of leaf tissues and different nuclear DNA content(130ndash2690 pg per 2C DNA) As expected popularDNA reference standards (P sativum V faba andL esculentum) were easy to work with Neverthelessnot all buffers worked well with L esculentumpossibly owing to the presence of cytosolic compoundsHowever as the aim of the study was to compare theperformance of basic buffer formulas the use of additivesthat could counteract the negative effects of cytosol wasavoided

Overall the best results were obtained with P sativumAs its 2C nuclear DNA content is in the middle of theknown range of genome sizes in plants this observation

A

C

E

B

D

F

Dissimilarity Dissimilarity

2middot0 1middot5 1middot0 0middot5 0middot02middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0 2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths A

Galbraiths B

TrisMgCl2 A

TrisMgCl2 B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

F I G 3 Dendrograms obtained after hierarchical cluster analysis of the following species (A) Sedum burrito (B) Lycopersicon esculentum (C) Celtisaustralis (D) Pisum sativum (E) Festuca rothmaleri (F) Vicia faba according to the parameters FS SS FL CV BF and YF With the exception of S burrito

the four buffers fell into two highly dissimilar clusters of the same buffers

686 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

underlines its position as one of the best standards forplant DNA FCM By contrast Sedum burrito was themost difficult species to analyse due to low DNA contentoccurrence of polysomaty and high leaf water contentwhich hampered sample preparation and analysis More-over its tissues may contain tannins (J Greilhuber perscomm 2006)

In O pes-caprae cytosol of which is highly acidic(pH lt 30) measurable samples could be prepared usingonly Ottorsquos and Galbraithrsquos buffers with Ottorsquos beinghighly superior This is in accordance with the results ofEmshwiller (2002) who analysed ploidy levels in OxalisAfter testing LB01 MgSO4 and Ottorsquos buffers sheobtained measurable samples only with Ottorsquos The formertwo buffers failed presumably as a result of the acidic cellsap which may have exceeded the buffering capacity ofLB01 and MgSO4

Celtis australis was the only woody plant speciesincluded in the present study and was chosen because ofthe presence of mucilaginous compounds (Rodriguez et al2005a) which increase sample viscosity restrain nucleirelease and cause their clumping Interestingly this wasthe only species for which TrisMgCl2 was the bestperforming buffer This was probably because of a higherconcentration of the non-ionic detergent which sup-pressed the effect of mucilaginous compounds Leaftissues of F rothmaleri were particularly hard anddifficult to chop In addition preliminary experimentswith this species revealed the presence of cytosoliccompounds which would be expected to interfere withDNA staining However given the pattern of FS and SSobtained the so-called lsquotannic acid effectrsquo (Loureiro et al2006) was absent indicating that these compounds werereleased at low concentration or not at all

In order to compare the performance of nuclear isolationbuffers a set of parameters was carefully selected toevaluate sample quality Furthermore stability of fluores-cence and light scatter properties of isolated nuclei overtime were confirmed Among the parameters chosen thecoefficient of variation of DNA peaks (CV) is of majorimportance Galbraith et al (2002) considered 50 asthe maximum acceptable CV value in plant DNA flowcytometry With the exception of TrisMgCl2 buffer whenused with S burrito all mean CV values obtained hereinwere below this limit Ideally a nuclei sample should befree of cell and tissue debris Emshwiller (2002) noted acorrelation between CV and background noise In thepresent study this correlation was found only in somespecies (eg F rothmaleri) Rather the results heresuggest that the extent of background debris is determinedby the buffer itself For example a higher detergentconcentration in a buffer could lead to chloroplast lysisand consequently decrease the number of fluorescentparticles contributing to debris signals (Coba de la Penaand Brown 2001)

LB01 buffer provided very good results with theexception of O pes-caprae and S burrito low CV highFL and YF values were obtained with this buffer Highnuclei FL intensities obtained with this buffer weredefinitely an advantage as compared with TrisMgCl2 and

Galbraithrsquos buffers Galbraithrsquos buffer seems well bal-anced as acceptable results were achieved in all speciesSurprisingly the buffer gave reasonable results also withO pes-caprae which is characterized by highly acidiccytosol The presence of MOPS in the buffer may shedlight on these findings as it has a pKa of 72 and a betterbuffering capacity than TRIS with a pKa of 81 Adisadvantage of this buffer was the low fluorescenceintensity of nuclei Collectively TrisMgCl2 was the worstperforming buffer Nevertheless it provided the bestresults for C australis This may have been due to thehigher concentration of non-ionic detergent (Table 1)which counteracted the agglutinating effect of mucilagin-ous compounds and decreased sample viscosity As withGalbraithrsquos buffer low FL values were obtained withTrisMgCl2

Ottorsquos buffer is unique in that sample preparationinvolves two steps The results obtained with Ottorsquos bufferwere excellent in many species especially those withlower nuclear DNA content Dolezel and Bartos (2005)highlighted the quality of this buffer which is known toprovide DNA content histograms with unequalled resolu-tion One explanation for this may be that citric acidimproves chromatin accessibility and lsquohomogenizesrsquo chro-matin structure eliminating differences in staining intens-ity among nuclei with the same DNA content but differentchromatin state This could explain the highest FL andlowest CV values as observed here Another characteristicof this buffer was that light scatter values (especially FS)were significantly lower than those of other buffers Thismay be explained by the action of citric acid whichcauses nuclei fixation (Dolezel and Bartos 2005) It isnoteworthy that the pattern of FS vs SS distribution wassimilar to that obtained when analysing nuclei fixed withformaldehyde (Rodriguez et al 2005b) Althoughproviding excellent results this buffer gave the highestBF and lowest YF values The former can be explained bynuclei instability after the addition of Otto II After thisstep nuclei deteriorate rapidly in some species (J Dolezelunpubl res) The lowest YF values could be due to thedetergent (Tween 20) which is weaker than Triton X-100thus having a lower capacity to release nuclei

An important consequence of the observation ofdifferent fluorescence values obtained with the differentbuffers is that different fluorescence ratios may beexpected with the same species pair if the samples areprepared in different buffers In fact Dolezel et al (1998)observed differences in peak ratios obtained in differentlaboratories Further studies are needed to confirm thisobservation as it may have important consequences forestimation of genome size

The present results showed that well-defined popula-tions of nuclei could be observed on cytograms of FS vsSS With the exception of S burrito for which LB01 andTrisMgCl2 buffers did not present statistically significantdifferences for both parameters the analysis of FS and SSprovided a fingerprint pattern for each buffer Loureiroet al (2006) showed that these parameters were sensitiveto the presence of tannic acid a cytosolic compoundcommon in plants and recommended the analysis of light

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 687

scatter to verify suitability of particular samples for plantDNA FCM

As nuclei samples are prepared manually it wasimportant to assess the effect of date of analysis andoperator on sample quality variation Date was found to bemore significant than the effect of different operatorsespecially for FS SS CV and DF YF which depends onthe way the sample is chopped and hence on the operatordid not vary It was expected that FL which is a primarysource of data in FCM analysis would not depend on theoperator or the day of chopping This was confirmed in allspecies except L esculentum and C australis In theformer species a significant variation was obtainedbetween operators These differences could be explainedby variable results obtained with Galbraithrsquos buffer InC australis significant differences were obtained amongdates In this case significant differences were due toresults obtained on one single day Emshwiller (2002)found significant differences when multiple preparationsfrom the same plant were run on different days Thesedifferences and those found in the present study wereprobably due to instrument drift (Kudo and Kimura2001) To avoid this type of error several authors haverecommended that each measurement be repeated at leastthree times on three different days (Suda 2004 Dolezeland Bartos 2005)

This is the first study that has systematically comparednuclear isolation buffers for DNA FCM The results showthat none of the buffers works best with all species andstatistically significant differences in sample quality wereobserved among the four buffers The results obtainedwith different species and contrasting types of leaf tissuescan serve as guidelines in buffer selection Nevertheless itis recommend that a range of buffers be tested whenworking with a new species and tissue type Once the bestbuffer has been identified additives should be tested ifrequired to suppress negative effects of phenols and othercytosolic compounds

ACKNOWLEDGEMENTS

We are grateful to Prof Johann Greilhuber and Dr JanSuda for critical reading of the manuscript This work wassupported by FCT project ref POCTIAGR606722004JL was supported by the Fellowship FCTBD90032002

LITERATURE CITEDBennett MD Leitch I 2005 Genome size evolution in plants In

Gregory T ed The evolution of the genome London ElsevierAcademic Press 89ndash162

Bergounioux C Perennes C Brown SC Gadal P 1988 Cytometricanalysis of growth regulator-dependent transcription and cell cycleprogression in Petunia protoplast cultures Planta 175 500ndash505

Bergounioux C Brown SC Petit PX 1992 Flow cytometry and plantprotoplast cell biology Physiologia Plantarum 85 374ndash386

Castro S Loureiro J Santos C Ayensa G Navarro L 2005 Differentploidy levels could explain reproductive matter of invasive Oxalispes-caprae L in Mediterranean regions In Brunel S ed Invasiveplants in Mediterranean type regions of the world StrasbourgCedex France Council of Europe Publishing 235

Coba de la Pena T Brown SC 2001 Cytometry and fluorimetryIn Hawes C Satiat-Jeunemaıtre B eds Plant cell biology

a practical approach New York Oxford University Press85ndash106

Dolezel J Bartos J 2005 Plant DNA flow cytometry and estimation ofnuclear genome size Annals of Botany 95 99ndash110

Dolezel J Gohde W 1995 Sex determination in dioecious plantsMelandrium album and M rubrum using high-resolution flowcytometry Cytometry 19 103ndash106

Dolezel J Binarova P Lucretti S 1989 Analysis of nuclear DNAcontent in plant cells by flow cytometry Biologia Plantarum 31113ndash120

Dolezel J Sgorbati S Lucretti S 1992 Comparison of three DNAfluorochromes for flow cytometric estimation of nuclear DNAcontent in plants Physiologia Plantarum 85 625ndash631

Dolezel J Greilhuber J Lucretti S Meister A Lysak M Nardi LObermayer R 1998 Plant genome size estimation byflow cytometry inter-laboratory comparison Annals of Botany 8217ndash26

Dolezel J Bartos J Voglmayr H Greilhuber J 2003 Nuclear DNAcontent and genome size of trout and human Cytometry 51A127ndash128

Emshwiller E 2002 Ploidy levels among species in the lsquoOxalis tuberosaAlliancersquo as inferred by flow cytometry Annals of Botany 89741ndash753

Galbraith DW 2004 Cytometry and plant sciences a personalretrospective Cytometry 58A 37ndash44

Galbraith DW Harkins KR Maddox JM Ayres NM Sharma DPFiroozabady E 1983 Rapid flow cytometric analysis of the cell-cycle in intact plant-tissues Science 220 1049ndash1051

Galbraith DW Lambert GM Macas J Dolezel J 2002 Analysis ofnuclear DNA content and ploidy in higher plants In Robinson JPDarzynkiewicz Z Dean PN Dressler LG Rabinovitch PS StewartCV Tanke HJ Wheeless LL eds Current protocols in cytometryNew York John Wiley amp Sons 761ndash7622

Heller FO 1973 DNS-Bestimmung an Keimwurzeln von Vicia faba Lmit Hilfe der Impulscytophotometrie Bericht der DeutschenBotanischen Gesellschaft 86 437ndash441

Hintze J 2004 NCSS and PASS Kaysville Utah Number CruncherStatistical Systems

Kudo N Kimura Y 2001 Flow cytometric evidence for endopolyploidyin seedlings of some Brassica species Theoretical and AppliedGenetics 102 104ndash110

Loureiro J Rodriguez E Dolezel J Santos C 2006 Flow cytometricand microscopic analysis of the effect of tannic acid on plantnuclei and estimation of DNA content Annals of Botany 98515ndash527

Noirot M Barre P Louarn J Duperray C Hamon S 2000 Nucleusndashcytosol interactionsmdashA source of stoichiometric error in flowcytometric estimation of nuclear DNA content in plants Annals ofBotany 86 309ndash316

Noirot M Barre P Duperray C Louarn J Hamon S 2003 Effects ofcaffeine and chlorogenic acid on propidium iodide accessibility toDNA consequences on genome size evaluation in coffee treeAnnals of Botany 92 259ndash264

Otto F 1992 Preparation and staining of cells for high-resolution DNAanalysis In Radbruch A ed Flow cytometry and cell sortingBerlin Springer-Verlag 101ndash104

Pfosser M Amon A Lelley T Heberle-Bors E 1995 Evaluation ofsensitivity of flow cytometry in detecting aneuploidy in wheat usingdisomic and ditelosomic wheat-rye addition lines Cytometry 21387ndash393

Pinto G Loureiro J Lopes T Santos C 2004 Analysis of the geneticstability of Eucalyptus globulus Labill somatic embryos by flowcytometry Theoretical and Applied Genetics 109 580ndash587

Rodriguez E Gomes A Loureiro J Dolezel J Santos C 2005aEstimation of the genome size of the Iberian Peninsula Ulmaceae In9th Iberian Congress of Cytometry Book of Abstracts PortoPortugal 37

Rodriguez E Loureiro J Dolezel J Santos C 2005b The adequacy ofusing formaldehyde fixation for nuclear DNA content analyses ofplant material In 9th Iberian Congress of Cytometry Book ofAbstracts Porto Portugal PO120-PB

Shapiro H 2004 Practical flow cytometry 4th edn New YorkWiley-Liss

688 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

Suda J 2004 An employment of flow cytometry into plant biosystematicsPhD thesis Charles University Czech Republic Available at httpwwwibotcasczfcmsudapresentationdisertationpdf

Trotter J 2000 WinMDI version 28 Available at httpfacsscrippsedusoftwarehtml

Ulrich I Ulrich W 1986 Flow cytometric DNA analysis of plantprotoplasts with DAPI Zeitschrift fur Naturforschung 411052ndash1056

Ulrich I Fritz B Ulrich W 1988 Application of DNA fluorochromes forflow cytometric DNA analysis of plant protoplasts Plant Science 55151ndash158

Walker D Monino I Correal E 2006 Genome size inBituminaria bituminosa (L) CH Stirton (Fabaceae) populationsseparation of lsquotruersquo differences from environmental effects on DNAdetermination Environmental and Experimental Botany 55258ndash265

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 689

LB01 and lsquoGalbraith Brsquo formed the other (Fig 3B) InV faba (Fig 3F) LB01 and Galbraithrsquos formed one groupowing to greater similarities between operators thanwithin each buffer As previously stated in O pes-capraeonly two buffers (Ottorsquos and Galbraithrsquos) providedacceptable results with considerable dissimilaritiesbetween them (data not shown)

DISCUSSION

Four nuclear isolation buffers were used with a setof species that were chosen to represent different types

of leaf tissues and different nuclear DNA content(130ndash2690 pg per 2C DNA) As expected popularDNA reference standards (P sativum V faba andL esculentum) were easy to work with Neverthelessnot all buffers worked well with L esculentumpossibly owing to the presence of cytosolic compoundsHowever as the aim of the study was to compare theperformance of basic buffer formulas the use of additivesthat could counteract the negative effects of cytosol wasavoided

Overall the best results were obtained with P sativumAs its 2C nuclear DNA content is in the middle of theknown range of genome sizes in plants this observation

A

C

E

B

D

F

Dissimilarity Dissimilarity

2middot0 1middot5 1middot0 0middot5 0middot02middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0 2middot0 1middot5 1middot0 0middot5 0middot0

2middot0 1middot5 1middot0 0middot5 0middot0

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

LB01A

LB01B

Ottos B

Ottos A

Galbraiths A

Galbraiths B

TrisMgCl2 A

TrisMgCl2 B

Ottos B

Ottos A

Galbraiths B

Galbraiths A

Galbraiths B

Galbraiths A

TrisMgCl2 B

TrisMgCl2 A

LB01A

LB01B

Ottos B

Ottos A

TrisMgCl2 B

TrisMgCl2 A

F I G 3 Dendrograms obtained after hierarchical cluster analysis of the following species (A) Sedum burrito (B) Lycopersicon esculentum (C) Celtisaustralis (D) Pisum sativum (E) Festuca rothmaleri (F) Vicia faba according to the parameters FS SS FL CV BF and YF With the exception of S burrito

the four buffers fell into two highly dissimilar clusters of the same buffers

686 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

underlines its position as one of the best standards forplant DNA FCM By contrast Sedum burrito was themost difficult species to analyse due to low DNA contentoccurrence of polysomaty and high leaf water contentwhich hampered sample preparation and analysis More-over its tissues may contain tannins (J Greilhuber perscomm 2006)

In O pes-caprae cytosol of which is highly acidic(pH lt 30) measurable samples could be prepared usingonly Ottorsquos and Galbraithrsquos buffers with Ottorsquos beinghighly superior This is in accordance with the results ofEmshwiller (2002) who analysed ploidy levels in OxalisAfter testing LB01 MgSO4 and Ottorsquos buffers sheobtained measurable samples only with Ottorsquos The formertwo buffers failed presumably as a result of the acidic cellsap which may have exceeded the buffering capacity ofLB01 and MgSO4

Celtis australis was the only woody plant speciesincluded in the present study and was chosen because ofthe presence of mucilaginous compounds (Rodriguez et al2005a) which increase sample viscosity restrain nucleirelease and cause their clumping Interestingly this wasthe only species for which TrisMgCl2 was the bestperforming buffer This was probably because of a higherconcentration of the non-ionic detergent which sup-pressed the effect of mucilaginous compounds Leaftissues of F rothmaleri were particularly hard anddifficult to chop In addition preliminary experimentswith this species revealed the presence of cytosoliccompounds which would be expected to interfere withDNA staining However given the pattern of FS and SSobtained the so-called lsquotannic acid effectrsquo (Loureiro et al2006) was absent indicating that these compounds werereleased at low concentration or not at all

In order to compare the performance of nuclear isolationbuffers a set of parameters was carefully selected toevaluate sample quality Furthermore stability of fluores-cence and light scatter properties of isolated nuclei overtime were confirmed Among the parameters chosen thecoefficient of variation of DNA peaks (CV) is of majorimportance Galbraith et al (2002) considered 50 asthe maximum acceptable CV value in plant DNA flowcytometry With the exception of TrisMgCl2 buffer whenused with S burrito all mean CV values obtained hereinwere below this limit Ideally a nuclei sample should befree of cell and tissue debris Emshwiller (2002) noted acorrelation between CV and background noise In thepresent study this correlation was found only in somespecies (eg F rothmaleri) Rather the results heresuggest that the extent of background debris is determinedby the buffer itself For example a higher detergentconcentration in a buffer could lead to chloroplast lysisand consequently decrease the number of fluorescentparticles contributing to debris signals (Coba de la Penaand Brown 2001)

LB01 buffer provided very good results with theexception of O pes-caprae and S burrito low CV highFL and YF values were obtained with this buffer Highnuclei FL intensities obtained with this buffer weredefinitely an advantage as compared with TrisMgCl2 and

Galbraithrsquos buffers Galbraithrsquos buffer seems well bal-anced as acceptable results were achieved in all speciesSurprisingly the buffer gave reasonable results also withO pes-caprae which is characterized by highly acidiccytosol The presence of MOPS in the buffer may shedlight on these findings as it has a pKa of 72 and a betterbuffering capacity than TRIS with a pKa of 81 Adisadvantage of this buffer was the low fluorescenceintensity of nuclei Collectively TrisMgCl2 was the worstperforming buffer Nevertheless it provided the bestresults for C australis This may have been due to thehigher concentration of non-ionic detergent (Table 1)which counteracted the agglutinating effect of mucilagin-ous compounds and decreased sample viscosity As withGalbraithrsquos buffer low FL values were obtained withTrisMgCl2

Ottorsquos buffer is unique in that sample preparationinvolves two steps The results obtained with Ottorsquos bufferwere excellent in many species especially those withlower nuclear DNA content Dolezel and Bartos (2005)highlighted the quality of this buffer which is known toprovide DNA content histograms with unequalled resolu-tion One explanation for this may be that citric acidimproves chromatin accessibility and lsquohomogenizesrsquo chro-matin structure eliminating differences in staining intens-ity among nuclei with the same DNA content but differentchromatin state This could explain the highest FL andlowest CV values as observed here Another characteristicof this buffer was that light scatter values (especially FS)were significantly lower than those of other buffers Thismay be explained by the action of citric acid whichcauses nuclei fixation (Dolezel and Bartos 2005) It isnoteworthy that the pattern of FS vs SS distribution wassimilar to that obtained when analysing nuclei fixed withformaldehyde (Rodriguez et al 2005b) Althoughproviding excellent results this buffer gave the highestBF and lowest YF values The former can be explained bynuclei instability after the addition of Otto II After thisstep nuclei deteriorate rapidly in some species (J Dolezelunpubl res) The lowest YF values could be due to thedetergent (Tween 20) which is weaker than Triton X-100thus having a lower capacity to release nuclei

An important consequence of the observation ofdifferent fluorescence values obtained with the differentbuffers is that different fluorescence ratios may beexpected with the same species pair if the samples areprepared in different buffers In fact Dolezel et al (1998)observed differences in peak ratios obtained in differentlaboratories Further studies are needed to confirm thisobservation as it may have important consequences forestimation of genome size

The present results showed that well-defined popula-tions of nuclei could be observed on cytograms of FS vsSS With the exception of S burrito for which LB01 andTrisMgCl2 buffers did not present statistically significantdifferences for both parameters the analysis of FS and SSprovided a fingerprint pattern for each buffer Loureiroet al (2006) showed that these parameters were sensitiveto the presence of tannic acid a cytosolic compoundcommon in plants and recommended the analysis of light

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 687

scatter to verify suitability of particular samples for plantDNA FCM

As nuclei samples are prepared manually it wasimportant to assess the effect of date of analysis andoperator on sample quality variation Date was found to bemore significant than the effect of different operatorsespecially for FS SS CV and DF YF which depends onthe way the sample is chopped and hence on the operatordid not vary It was expected that FL which is a primarysource of data in FCM analysis would not depend on theoperator or the day of chopping This was confirmed in allspecies except L esculentum and C australis In theformer species a significant variation was obtainedbetween operators These differences could be explainedby variable results obtained with Galbraithrsquos buffer InC australis significant differences were obtained amongdates In this case significant differences were due toresults obtained on one single day Emshwiller (2002)found significant differences when multiple preparationsfrom the same plant were run on different days Thesedifferences and those found in the present study wereprobably due to instrument drift (Kudo and Kimura2001) To avoid this type of error several authors haverecommended that each measurement be repeated at leastthree times on three different days (Suda 2004 Dolezeland Bartos 2005)

This is the first study that has systematically comparednuclear isolation buffers for DNA FCM The results showthat none of the buffers works best with all species andstatistically significant differences in sample quality wereobserved among the four buffers The results obtainedwith different species and contrasting types of leaf tissuescan serve as guidelines in buffer selection Nevertheless itis recommend that a range of buffers be tested whenworking with a new species and tissue type Once the bestbuffer has been identified additives should be tested ifrequired to suppress negative effects of phenols and othercytosolic compounds

ACKNOWLEDGEMENTS

We are grateful to Prof Johann Greilhuber and Dr JanSuda for critical reading of the manuscript This work wassupported by FCT project ref POCTIAGR606722004JL was supported by the Fellowship FCTBD90032002

LITERATURE CITEDBennett MD Leitch I 2005 Genome size evolution in plants In

Gregory T ed The evolution of the genome London ElsevierAcademic Press 89ndash162

Bergounioux C Perennes C Brown SC Gadal P 1988 Cytometricanalysis of growth regulator-dependent transcription and cell cycleprogression in Petunia protoplast cultures Planta 175 500ndash505

Bergounioux C Brown SC Petit PX 1992 Flow cytometry and plantprotoplast cell biology Physiologia Plantarum 85 374ndash386

Castro S Loureiro J Santos C Ayensa G Navarro L 2005 Differentploidy levels could explain reproductive matter of invasive Oxalispes-caprae L in Mediterranean regions In Brunel S ed Invasiveplants in Mediterranean type regions of the world StrasbourgCedex France Council of Europe Publishing 235

Coba de la Pena T Brown SC 2001 Cytometry and fluorimetryIn Hawes C Satiat-Jeunemaıtre B eds Plant cell biology

a practical approach New York Oxford University Press85ndash106

Dolezel J Bartos J 2005 Plant DNA flow cytometry and estimation ofnuclear genome size Annals of Botany 95 99ndash110

Dolezel J Gohde W 1995 Sex determination in dioecious plantsMelandrium album and M rubrum using high-resolution flowcytometry Cytometry 19 103ndash106

Dolezel J Binarova P Lucretti S 1989 Analysis of nuclear DNAcontent in plant cells by flow cytometry Biologia Plantarum 31113ndash120

Dolezel J Sgorbati S Lucretti S 1992 Comparison of three DNAfluorochromes for flow cytometric estimation of nuclear DNAcontent in plants Physiologia Plantarum 85 625ndash631

Dolezel J Greilhuber J Lucretti S Meister A Lysak M Nardi LObermayer R 1998 Plant genome size estimation byflow cytometry inter-laboratory comparison Annals of Botany 8217ndash26

Dolezel J Bartos J Voglmayr H Greilhuber J 2003 Nuclear DNAcontent and genome size of trout and human Cytometry 51A127ndash128

Emshwiller E 2002 Ploidy levels among species in the lsquoOxalis tuberosaAlliancersquo as inferred by flow cytometry Annals of Botany 89741ndash753

Galbraith DW 2004 Cytometry and plant sciences a personalretrospective Cytometry 58A 37ndash44

Galbraith DW Harkins KR Maddox JM Ayres NM Sharma DPFiroozabady E 1983 Rapid flow cytometric analysis of the cell-cycle in intact plant-tissues Science 220 1049ndash1051

Galbraith DW Lambert GM Macas J Dolezel J 2002 Analysis ofnuclear DNA content and ploidy in higher plants In Robinson JPDarzynkiewicz Z Dean PN Dressler LG Rabinovitch PS StewartCV Tanke HJ Wheeless LL eds Current protocols in cytometryNew York John Wiley amp Sons 761ndash7622

Heller FO 1973 DNS-Bestimmung an Keimwurzeln von Vicia faba Lmit Hilfe der Impulscytophotometrie Bericht der DeutschenBotanischen Gesellschaft 86 437ndash441

Hintze J 2004 NCSS and PASS Kaysville Utah Number CruncherStatistical Systems

Kudo N Kimura Y 2001 Flow cytometric evidence for endopolyploidyin seedlings of some Brassica species Theoretical and AppliedGenetics 102 104ndash110

Loureiro J Rodriguez E Dolezel J Santos C 2006 Flow cytometricand microscopic analysis of the effect of tannic acid on plantnuclei and estimation of DNA content Annals of Botany 98515ndash527

Noirot M Barre P Louarn J Duperray C Hamon S 2000 Nucleusndashcytosol interactionsmdashA source of stoichiometric error in flowcytometric estimation of nuclear DNA content in plants Annals ofBotany 86 309ndash316

Noirot M Barre P Duperray C Louarn J Hamon S 2003 Effects ofcaffeine and chlorogenic acid on propidium iodide accessibility toDNA consequences on genome size evaluation in coffee treeAnnals of Botany 92 259ndash264

Otto F 1992 Preparation and staining of cells for high-resolution DNAanalysis In Radbruch A ed Flow cytometry and cell sortingBerlin Springer-Verlag 101ndash104

Pfosser M Amon A Lelley T Heberle-Bors E 1995 Evaluation ofsensitivity of flow cytometry in detecting aneuploidy in wheat usingdisomic and ditelosomic wheat-rye addition lines Cytometry 21387ndash393

Pinto G Loureiro J Lopes T Santos C 2004 Analysis of the geneticstability of Eucalyptus globulus Labill somatic embryos by flowcytometry Theoretical and Applied Genetics 109 580ndash587

Rodriguez E Gomes A Loureiro J Dolezel J Santos C 2005aEstimation of the genome size of the Iberian Peninsula Ulmaceae In9th Iberian Congress of Cytometry Book of Abstracts PortoPortugal 37

Rodriguez E Loureiro J Dolezel J Santos C 2005b The adequacy ofusing formaldehyde fixation for nuclear DNA content analyses ofplant material In 9th Iberian Congress of Cytometry Book ofAbstracts Porto Portugal PO120-PB

Shapiro H 2004 Practical flow cytometry 4th edn New YorkWiley-Liss

688 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

Suda J 2004 An employment of flow cytometry into plant biosystematicsPhD thesis Charles University Czech Republic Available at httpwwwibotcasczfcmsudapresentationdisertationpdf

Trotter J 2000 WinMDI version 28 Available at httpfacsscrippsedusoftwarehtml

Ulrich I Ulrich W 1986 Flow cytometric DNA analysis of plantprotoplasts with DAPI Zeitschrift fur Naturforschung 411052ndash1056

Ulrich I Fritz B Ulrich W 1988 Application of DNA fluorochromes forflow cytometric DNA analysis of plant protoplasts Plant Science 55151ndash158

Walker D Monino I Correal E 2006 Genome size inBituminaria bituminosa (L) CH Stirton (Fabaceae) populationsseparation of lsquotruersquo differences from environmental effects on DNAdetermination Environmental and Experimental Botany 55258ndash265

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 689

underlines its position as one of the best standards forplant DNA FCM By contrast Sedum burrito was themost difficult species to analyse due to low DNA contentoccurrence of polysomaty and high leaf water contentwhich hampered sample preparation and analysis More-over its tissues may contain tannins (J Greilhuber perscomm 2006)

In O pes-caprae cytosol of which is highly acidic(pH lt 30) measurable samples could be prepared usingonly Ottorsquos and Galbraithrsquos buffers with Ottorsquos beinghighly superior This is in accordance with the results ofEmshwiller (2002) who analysed ploidy levels in OxalisAfter testing LB01 MgSO4 and Ottorsquos buffers sheobtained measurable samples only with Ottorsquos The formertwo buffers failed presumably as a result of the acidic cellsap which may have exceeded the buffering capacity ofLB01 and MgSO4

Celtis australis was the only woody plant speciesincluded in the present study and was chosen because ofthe presence of mucilaginous compounds (Rodriguez et al2005a) which increase sample viscosity restrain nucleirelease and cause their clumping Interestingly this wasthe only species for which TrisMgCl2 was the bestperforming buffer This was probably because of a higherconcentration of the non-ionic detergent which sup-pressed the effect of mucilaginous compounds Leaftissues of F rothmaleri were particularly hard anddifficult to chop In addition preliminary experimentswith this species revealed the presence of cytosoliccompounds which would be expected to interfere withDNA staining However given the pattern of FS and SSobtained the so-called lsquotannic acid effectrsquo (Loureiro et al2006) was absent indicating that these compounds werereleased at low concentration or not at all

In order to compare the performance of nuclear isolationbuffers a set of parameters was carefully selected toevaluate sample quality Furthermore stability of fluores-cence and light scatter properties of isolated nuclei overtime were confirmed Among the parameters chosen thecoefficient of variation of DNA peaks (CV) is of majorimportance Galbraith et al (2002) considered 50 asthe maximum acceptable CV value in plant DNA flowcytometry With the exception of TrisMgCl2 buffer whenused with S burrito all mean CV values obtained hereinwere below this limit Ideally a nuclei sample should befree of cell and tissue debris Emshwiller (2002) noted acorrelation between CV and background noise In thepresent study this correlation was found only in somespecies (eg F rothmaleri) Rather the results heresuggest that the extent of background debris is determinedby the buffer itself For example a higher detergentconcentration in a buffer could lead to chloroplast lysisand consequently decrease the number of fluorescentparticles contributing to debris signals (Coba de la Penaand Brown 2001)

LB01 buffer provided very good results with theexception of O pes-caprae and S burrito low CV highFL and YF values were obtained with this buffer Highnuclei FL intensities obtained with this buffer weredefinitely an advantage as compared with TrisMgCl2 and

Galbraithrsquos buffers Galbraithrsquos buffer seems well bal-anced as acceptable results were achieved in all speciesSurprisingly the buffer gave reasonable results also withO pes-caprae which is characterized by highly acidiccytosol The presence of MOPS in the buffer may shedlight on these findings as it has a pKa of 72 and a betterbuffering capacity than TRIS with a pKa of 81 Adisadvantage of this buffer was the low fluorescenceintensity of nuclei Collectively TrisMgCl2 was the worstperforming buffer Nevertheless it provided the bestresults for C australis This may have been due to thehigher concentration of non-ionic detergent (Table 1)which counteracted the agglutinating effect of mucilagin-ous compounds and decreased sample viscosity As withGalbraithrsquos buffer low FL values were obtained withTrisMgCl2

Ottorsquos buffer is unique in that sample preparationinvolves two steps The results obtained with Ottorsquos bufferwere excellent in many species especially those withlower nuclear DNA content Dolezel and Bartos (2005)highlighted the quality of this buffer which is known toprovide DNA content histograms with unequalled resolu-tion One explanation for this may be that citric acidimproves chromatin accessibility and lsquohomogenizesrsquo chro-matin structure eliminating differences in staining intens-ity among nuclei with the same DNA content but differentchromatin state This could explain the highest FL andlowest CV values as observed here Another characteristicof this buffer was that light scatter values (especially FS)were significantly lower than those of other buffers Thismay be explained by the action of citric acid whichcauses nuclei fixation (Dolezel and Bartos 2005) It isnoteworthy that the pattern of FS vs SS distribution wassimilar to that obtained when analysing nuclei fixed withformaldehyde (Rodriguez et al 2005b) Althoughproviding excellent results this buffer gave the highestBF and lowest YF values The former can be explained bynuclei instability after the addition of Otto II After thisstep nuclei deteriorate rapidly in some species (J Dolezelunpubl res) The lowest YF values could be due to thedetergent (Tween 20) which is weaker than Triton X-100thus having a lower capacity to release nuclei

An important consequence of the observation ofdifferent fluorescence values obtained with the differentbuffers is that different fluorescence ratios may beexpected with the same species pair if the samples areprepared in different buffers In fact Dolezel et al (1998)observed differences in peak ratios obtained in differentlaboratories Further studies are needed to confirm thisobservation as it may have important consequences forestimation of genome size

The present results showed that well-defined popula-tions of nuclei could be observed on cytograms of FS vsSS With the exception of S burrito for which LB01 andTrisMgCl2 buffers did not present statistically significantdifferences for both parameters the analysis of FS and SSprovided a fingerprint pattern for each buffer Loureiroet al (2006) showed that these parameters were sensitiveto the presence of tannic acid a cytosolic compoundcommon in plants and recommended the analysis of light

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 687

scatter to verify suitability of particular samples for plantDNA FCM

As nuclei samples are prepared manually it wasimportant to assess the effect of date of analysis andoperator on sample quality variation Date was found to bemore significant than the effect of different operatorsespecially for FS SS CV and DF YF which depends onthe way the sample is chopped and hence on the operatordid not vary It was expected that FL which is a primarysource of data in FCM analysis would not depend on theoperator or the day of chopping This was confirmed in allspecies except L esculentum and C australis In theformer species a significant variation was obtainedbetween operators These differences could be explainedby variable results obtained with Galbraithrsquos buffer InC australis significant differences were obtained amongdates In this case significant differences were due toresults obtained on one single day Emshwiller (2002)found significant differences when multiple preparationsfrom the same plant were run on different days Thesedifferences and those found in the present study wereprobably due to instrument drift (Kudo and Kimura2001) To avoid this type of error several authors haverecommended that each measurement be repeated at leastthree times on three different days (Suda 2004 Dolezeland Bartos 2005)

This is the first study that has systematically comparednuclear isolation buffers for DNA FCM The results showthat none of the buffers works best with all species andstatistically significant differences in sample quality wereobserved among the four buffers The results obtainedwith different species and contrasting types of leaf tissuescan serve as guidelines in buffer selection Nevertheless itis recommend that a range of buffers be tested whenworking with a new species and tissue type Once the bestbuffer has been identified additives should be tested ifrequired to suppress negative effects of phenols and othercytosolic compounds

ACKNOWLEDGEMENTS

We are grateful to Prof Johann Greilhuber and Dr JanSuda for critical reading of the manuscript This work wassupported by FCT project ref POCTIAGR606722004JL was supported by the Fellowship FCTBD90032002

LITERATURE CITEDBennett MD Leitch I 2005 Genome size evolution in plants In

Gregory T ed The evolution of the genome London ElsevierAcademic Press 89ndash162

Bergounioux C Perennes C Brown SC Gadal P 1988 Cytometricanalysis of growth regulator-dependent transcription and cell cycleprogression in Petunia protoplast cultures Planta 175 500ndash505

Bergounioux C Brown SC Petit PX 1992 Flow cytometry and plantprotoplast cell biology Physiologia Plantarum 85 374ndash386

Castro S Loureiro J Santos C Ayensa G Navarro L 2005 Differentploidy levels could explain reproductive matter of invasive Oxalispes-caprae L in Mediterranean regions In Brunel S ed Invasiveplants in Mediterranean type regions of the world StrasbourgCedex France Council of Europe Publishing 235

Coba de la Pena T Brown SC 2001 Cytometry and fluorimetryIn Hawes C Satiat-Jeunemaıtre B eds Plant cell biology

a practical approach New York Oxford University Press85ndash106

Dolezel J Bartos J 2005 Plant DNA flow cytometry and estimation ofnuclear genome size Annals of Botany 95 99ndash110

Dolezel J Gohde W 1995 Sex determination in dioecious plantsMelandrium album and M rubrum using high-resolution flowcytometry Cytometry 19 103ndash106

Dolezel J Binarova P Lucretti S 1989 Analysis of nuclear DNAcontent in plant cells by flow cytometry Biologia Plantarum 31113ndash120

Dolezel J Sgorbati S Lucretti S 1992 Comparison of three DNAfluorochromes for flow cytometric estimation of nuclear DNAcontent in plants Physiologia Plantarum 85 625ndash631

Dolezel J Greilhuber J Lucretti S Meister A Lysak M Nardi LObermayer R 1998 Plant genome size estimation byflow cytometry inter-laboratory comparison Annals of Botany 8217ndash26

Dolezel J Bartos J Voglmayr H Greilhuber J 2003 Nuclear DNAcontent and genome size of trout and human Cytometry 51A127ndash128

Emshwiller E 2002 Ploidy levels among species in the lsquoOxalis tuberosaAlliancersquo as inferred by flow cytometry Annals of Botany 89741ndash753

Galbraith DW 2004 Cytometry and plant sciences a personalretrospective Cytometry 58A 37ndash44

Galbraith DW Harkins KR Maddox JM Ayres NM Sharma DPFiroozabady E 1983 Rapid flow cytometric analysis of the cell-cycle in intact plant-tissues Science 220 1049ndash1051

Galbraith DW Lambert GM Macas J Dolezel J 2002 Analysis ofnuclear DNA content and ploidy in higher plants In Robinson JPDarzynkiewicz Z Dean PN Dressler LG Rabinovitch PS StewartCV Tanke HJ Wheeless LL eds Current protocols in cytometryNew York John Wiley amp Sons 761ndash7622

Heller FO 1973 DNS-Bestimmung an Keimwurzeln von Vicia faba Lmit Hilfe der Impulscytophotometrie Bericht der DeutschenBotanischen Gesellschaft 86 437ndash441

Hintze J 2004 NCSS and PASS Kaysville Utah Number CruncherStatistical Systems

Kudo N Kimura Y 2001 Flow cytometric evidence for endopolyploidyin seedlings of some Brassica species Theoretical and AppliedGenetics 102 104ndash110

Loureiro J Rodriguez E Dolezel J Santos C 2006 Flow cytometricand microscopic analysis of the effect of tannic acid on plantnuclei and estimation of DNA content Annals of Botany 98515ndash527

Noirot M Barre P Louarn J Duperray C Hamon S 2000 Nucleusndashcytosol interactionsmdashA source of stoichiometric error in flowcytometric estimation of nuclear DNA content in plants Annals ofBotany 86 309ndash316

Noirot M Barre P Duperray C Louarn J Hamon S 2003 Effects ofcaffeine and chlorogenic acid on propidium iodide accessibility toDNA consequences on genome size evaluation in coffee treeAnnals of Botany 92 259ndash264

Otto F 1992 Preparation and staining of cells for high-resolution DNAanalysis In Radbruch A ed Flow cytometry and cell sortingBerlin Springer-Verlag 101ndash104

Pfosser M Amon A Lelley T Heberle-Bors E 1995 Evaluation ofsensitivity of flow cytometry in detecting aneuploidy in wheat usingdisomic and ditelosomic wheat-rye addition lines Cytometry 21387ndash393

Pinto G Loureiro J Lopes T Santos C 2004 Analysis of the geneticstability of Eucalyptus globulus Labill somatic embryos by flowcytometry Theoretical and Applied Genetics 109 580ndash587

Rodriguez E Gomes A Loureiro J Dolezel J Santos C 2005aEstimation of the genome size of the Iberian Peninsula Ulmaceae In9th Iberian Congress of Cytometry Book of Abstracts PortoPortugal 37

Rodriguez E Loureiro J Dolezel J Santos C 2005b The adequacy ofusing formaldehyde fixation for nuclear DNA content analyses ofplant material In 9th Iberian Congress of Cytometry Book ofAbstracts Porto Portugal PO120-PB

Shapiro H 2004 Practical flow cytometry 4th edn New YorkWiley-Liss

688 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

Suda J 2004 An employment of flow cytometry into plant biosystematicsPhD thesis Charles University Czech Republic Available at httpwwwibotcasczfcmsudapresentationdisertationpdf

Trotter J 2000 WinMDI version 28 Available at httpfacsscrippsedusoftwarehtml

Ulrich I Ulrich W 1986 Flow cytometric DNA analysis of plantprotoplasts with DAPI Zeitschrift fur Naturforschung 411052ndash1056

Ulrich I Fritz B Ulrich W 1988 Application of DNA fluorochromes forflow cytometric DNA analysis of plant protoplasts Plant Science 55151ndash158

Walker D Monino I Correal E 2006 Genome size inBituminaria bituminosa (L) CH Stirton (Fabaceae) populationsseparation of lsquotruersquo differences from environmental effects on DNAdetermination Environmental and Experimental Botany 55258ndash265

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 689

scatter to verify suitability of particular samples for plantDNA FCM

As nuclei samples are prepared manually it wasimportant to assess the effect of date of analysis andoperator on sample quality variation Date was found to bemore significant than the effect of different operatorsespecially for FS SS CV and DF YF which depends onthe way the sample is chopped and hence on the operatordid not vary It was expected that FL which is a primarysource of data in FCM analysis would not depend on theoperator or the day of chopping This was confirmed in allspecies except L esculentum and C australis In theformer species a significant variation was obtainedbetween operators These differences could be explainedby variable results obtained with Galbraithrsquos buffer InC australis significant differences were obtained amongdates In this case significant differences were due toresults obtained on one single day Emshwiller (2002)found significant differences when multiple preparationsfrom the same plant were run on different days Thesedifferences and those found in the present study wereprobably due to instrument drift (Kudo and Kimura2001) To avoid this type of error several authors haverecommended that each measurement be repeated at leastthree times on three different days (Suda 2004 Dolezeland Bartos 2005)

This is the first study that has systematically comparednuclear isolation buffers for DNA FCM The results showthat none of the buffers works best with all species andstatistically significant differences in sample quality wereobserved among the four buffers The results obtainedwith different species and contrasting types of leaf tissuescan serve as guidelines in buffer selection Nevertheless itis recommend that a range of buffers be tested whenworking with a new species and tissue type Once the bestbuffer has been identified additives should be tested ifrequired to suppress negative effects of phenols and othercytosolic compounds

ACKNOWLEDGEMENTS

We are grateful to Prof Johann Greilhuber and Dr JanSuda for critical reading of the manuscript This work wassupported by FCT project ref POCTIAGR606722004JL was supported by the Fellowship FCTBD90032002

LITERATURE CITEDBennett MD Leitch I 2005 Genome size evolution in plants In

Gregory T ed The evolution of the genome London ElsevierAcademic Press 89ndash162

Bergounioux C Perennes C Brown SC Gadal P 1988 Cytometricanalysis of growth regulator-dependent transcription and cell cycleprogression in Petunia protoplast cultures Planta 175 500ndash505

Bergounioux C Brown SC Petit PX 1992 Flow cytometry and plantprotoplast cell biology Physiologia Plantarum 85 374ndash386

Castro S Loureiro J Santos C Ayensa G Navarro L 2005 Differentploidy levels could explain reproductive matter of invasive Oxalispes-caprae L in Mediterranean regions In Brunel S ed Invasiveplants in Mediterranean type regions of the world StrasbourgCedex France Council of Europe Publishing 235

Coba de la Pena T Brown SC 2001 Cytometry and fluorimetryIn Hawes C Satiat-Jeunemaıtre B eds Plant cell biology

a practical approach New York Oxford University Press85ndash106

Dolezel J Bartos J 2005 Plant DNA flow cytometry and estimation ofnuclear genome size Annals of Botany 95 99ndash110

Dolezel J Gohde W 1995 Sex determination in dioecious plantsMelandrium album and M rubrum using high-resolution flowcytometry Cytometry 19 103ndash106

Dolezel J Binarova P Lucretti S 1989 Analysis of nuclear DNAcontent in plant cells by flow cytometry Biologia Plantarum 31113ndash120

Dolezel J Sgorbati S Lucretti S 1992 Comparison of three DNAfluorochromes for flow cytometric estimation of nuclear DNAcontent in plants Physiologia Plantarum 85 625ndash631

Dolezel J Greilhuber J Lucretti S Meister A Lysak M Nardi LObermayer R 1998 Plant genome size estimation byflow cytometry inter-laboratory comparison Annals of Botany 8217ndash26

Dolezel J Bartos J Voglmayr H Greilhuber J 2003 Nuclear DNAcontent and genome size of trout and human Cytometry 51A127ndash128

Emshwiller E 2002 Ploidy levels among species in the lsquoOxalis tuberosaAlliancersquo as inferred by flow cytometry Annals of Botany 89741ndash753

Galbraith DW 2004 Cytometry and plant sciences a personalretrospective Cytometry 58A 37ndash44

Galbraith DW Harkins KR Maddox JM Ayres NM Sharma DPFiroozabady E 1983 Rapid flow cytometric analysis of the cell-cycle in intact plant-tissues Science 220 1049ndash1051

Galbraith DW Lambert GM Macas J Dolezel J 2002 Analysis ofnuclear DNA content and ploidy in higher plants In Robinson JPDarzynkiewicz Z Dean PN Dressler LG Rabinovitch PS StewartCV Tanke HJ Wheeless LL eds Current protocols in cytometryNew York John Wiley amp Sons 761ndash7622

Heller FO 1973 DNS-Bestimmung an Keimwurzeln von Vicia faba Lmit Hilfe der Impulscytophotometrie Bericht der DeutschenBotanischen Gesellschaft 86 437ndash441

Hintze J 2004 NCSS and PASS Kaysville Utah Number CruncherStatistical Systems

Kudo N Kimura Y 2001 Flow cytometric evidence for endopolyploidyin seedlings of some Brassica species Theoretical and AppliedGenetics 102 104ndash110

Loureiro J Rodriguez E Dolezel J Santos C 2006 Flow cytometricand microscopic analysis of the effect of tannic acid on plantnuclei and estimation of DNA content Annals of Botany 98515ndash527

Noirot M Barre P Louarn J Duperray C Hamon S 2000 Nucleusndashcytosol interactionsmdashA source of stoichiometric error in flowcytometric estimation of nuclear DNA content in plants Annals ofBotany 86 309ndash316

Noirot M Barre P Duperray C Louarn J Hamon S 2003 Effects ofcaffeine and chlorogenic acid on propidium iodide accessibility toDNA consequences on genome size evaluation in coffee treeAnnals of Botany 92 259ndash264

Otto F 1992 Preparation and staining of cells for high-resolution DNAanalysis In Radbruch A ed Flow cytometry and cell sortingBerlin Springer-Verlag 101ndash104

Pfosser M Amon A Lelley T Heberle-Bors E 1995 Evaluation ofsensitivity of flow cytometry in detecting aneuploidy in wheat usingdisomic and ditelosomic wheat-rye addition lines Cytometry 21387ndash393

Pinto G Loureiro J Lopes T Santos C 2004 Analysis of the geneticstability of Eucalyptus globulus Labill somatic embryos by flowcytometry Theoretical and Applied Genetics 109 580ndash587

Rodriguez E Gomes A Loureiro J Dolezel J Santos C 2005aEstimation of the genome size of the Iberian Peninsula Ulmaceae In9th Iberian Congress of Cytometry Book of Abstracts PortoPortugal 37

Rodriguez E Loureiro J Dolezel J Santos C 2005b The adequacy ofusing formaldehyde fixation for nuclear DNA content analyses ofplant material In 9th Iberian Congress of Cytometry Book ofAbstracts Porto Portugal PO120-PB

Shapiro H 2004 Practical flow cytometry 4th edn New YorkWiley-Liss

688 Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM

Suda J 2004 An employment of flow cytometry into plant biosystematicsPhD thesis Charles University Czech Republic Available at httpwwwibotcasczfcmsudapresentationdisertationpdf

Trotter J 2000 WinMDI version 28 Available at httpfacsscrippsedusoftwarehtml

Ulrich I Ulrich W 1986 Flow cytometric DNA analysis of plantprotoplasts with DAPI Zeitschrift fur Naturforschung 411052ndash1056

Ulrich I Fritz B Ulrich W 1988 Application of DNA fluorochromes forflow cytometric DNA analysis of plant protoplasts Plant Science 55151ndash158

Walker D Monino I Correal E 2006 Genome size inBituminaria bituminosa (L) CH Stirton (Fabaceae) populationsseparation of lsquotruersquo differences from environmental effects on DNAdetermination Environmental and Experimental Botany 55258ndash265

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 689

Suda J 2004 An employment of flow cytometry into plant biosystematicsPhD thesis Charles University Czech Republic Available at httpwwwibotcasczfcmsudapresentationdisertationpdf

Trotter J 2000 WinMDI version 28 Available at httpfacsscrippsedusoftwarehtml

Ulrich I Ulrich W 1986 Flow cytometric DNA analysis of plantprotoplasts with DAPI Zeitschrift fur Naturforschung 411052ndash1056

Ulrich I Fritz B Ulrich W 1988 Application of DNA fluorochromes forflow cytometric DNA analysis of plant protoplasts Plant Science 55151ndash158

Walker D Monino I Correal E 2006 Genome size inBituminaria bituminosa (L) CH Stirton (Fabaceae) populationsseparation of lsquotruersquo differences from environmental effects on DNAdetermination Environmental and Experimental Botany 55258ndash265

Loureiro et al mdash Comparison of Lysis Buffers in Plant FCM 689