plant flow cytometry—far beyond the stone age
TRANSCRIPT
Plant Flow Cytometry22Far Beyond the Stone Age
Jo~ao Loureiro,1,2* Jaroslav Dolezel,3 Johann Greilhuber,4 Conceic~ao Santos,5 Jan Suda1,2
� Key termsflow cytometry; plant sciences; DNA ploidy; genome size; chro-mosome sorting
WHEN using flow cytometry (by that time called Impuls-
cytophotometrie, i.e., impulse cytophotometry in Germany)
to quantify nuclear DNA content in faba bean (Vicia faba),
the German botanist Friedrich Otto Heller could have hardly
imagined that in 1973, he laid the foundation stone of a new
scientific discipline, plant flow cytometry (1). In fact, his pio-
neering work received little attention, with just a dozen of cita-
tions on the Web of Science�, and only a few of his contem-
poraries recognized the potential of flow cytometry (FCM) for
plant sciences. The turning point was the work of David Gal-
braith, 10 years later, who came with an ingenious method for
rapid isolation of cell nuclei by mechanical homogenization of
plant tissues using a razor blade (2). This method replaced
lengthy enzymatic treatments, provided the conceptual basis
for routine analysis of nuclear DNA content and set the stage
for the spread of FCM into plant laboratories (3). However,
the dominance of biomedical research in the design of com-
mercially available instruments, coupled with their relatively
high cost, as well as a rather low interest of both the scientific
and the industrial community slowed down the progress. It
was not until the early 1990s that the number of publications
on plant FCM started to rise markedly (4). The last decade has
witnessed an ever-increasing number of applications in both
basic and applied research, as well as in industry and plant
breeding (5), making plant FCM a vital and dynamic research
discipline with a great potential.
Plant material has several unique features not paralleled
in animals and humans, which makes its analyses by flow
cytometry challenging. First, plant cells have rigid walls and
are held together by extra cellular matrix to form complex
three-dimensional tissues. It is not a trivial task to produce
liquid suspensions of single and regularly shaped cells and
subcellular particles such as nuclei, mitochondria, chloro-
plasts, and chromosomes. Other problems are due to the
chemical composition of the cytosol. Plant cells produce a vast
array of secondary metabolites that may interfere with a parti-
cular assay, for example with the staining of nuclear DNA (6).
In addition, autofluorescence of some cellular components
like the chloroplasts and cell walls can override the weak fluo-
rescence of stained targets. Concerning the methods and pro-
tocols, plant FCM suffers from the fact that the majority of
them were adopted from other fields (e.g., biomedical
research) and only a few attempts have been made to deal
with the peculiarities of plant samples.
A rather old-fashioned feature of plant FCM is the pre-
dominance of single-parameter analyses. This is clearly a
consequence of the enormous success of the method for
estimation of nuclear DNA content, which can be done
quite reliably with just one fluorescence parameter. The use
of FCM for addressing other issues (e.g., particle structure
and/or volume based on scatter properties) and for multi-
parameter analyses in particular (e.g., cell cycle studies) has
been scarce. Despite this, FCM contributed significantly to a
large number of remarkable and exciting results with far-
reaching implications. Plant breeding (5) and plant population
1Department of Botany, Faculty of Science, Charles University inPrague, Prague, Czech Republic2Institute of Botany, Academy of Sciences of the Czech Republic,Pruhonice, Czech Republic3Laboratory of Molecular Cytogenetics and Cytometry, Institute ofExperimental Botany, Olomouc, Czech Republic4Department of Systematic and Evolutionary Botany, University ofVienna, Vienna, Austria5CESAM & Department of Biology, University of Aveiro, Aveiro,Portugal
Received 2 April 2008; Accepted 6 April 2008
*Correspondence to: Jo~ao Loureiro, Department of Botany, Faculty ofScience, Charles University in Prague, Ben�atsk�a 2, Prague 128 01,Czech Republic.
E-mail: [email protected]
Published online in Wiley InterScience(www.interscience.wiley.com)
DOI: 10.1002/cyto.a.20578
© 2008 International Society for Advancement of Cytometry
Commentary
Cytometry Part A � 73A: 579�580, 2008
biology (7) are perhaps the two most profoundly affected
areas.
Modern, small, and relatively cheap multiparameter
instruments that measure several fluorescence parameters and
light scatter allow convenient and rapid DNA ploidy screening
using fresh and desiccated (8) plant tissues, high-precision ge-
nome size estimation (9), cell cycle studies (10), quantification
of the extent of endopolyploidy (11), as well as reproductive
mode screening using mature seeds (12). All these applications
may be successfully integrated in plant breeding programs, for
instance to characterize the available germplasm (13), control
the ploidy stability at various steps of breeding programs
(including in vitro cultures) (14), screen for desired cytotypes
after ploidy manipulation and/or hybridization (15), and
identify reproductive pathways (16).
Any method to be used by industry must be cost-effec-
tive, possibly high-throughput, saving time and replacing ex-
pensive workforce. There is no doubt that DNA flow cytome-
try has the characteristics of such a technique. However,
although FCM offers much more, other areas have not been
exploited sufficiently. Promising avenues include the analysis
of gene expression (17), the study of subcellular processes,
which comprise photosynthesis in plastids, respiration in mi-
tochondria, membrane studies, and apoptosis-associated
events (18) and the analysis and sorting of mitotic chromo-
somes (19). The latter application, which requires more so-
phisticated and expensive instruments, facilitates the analysis
of complex genomes and gene cloning in crops with massive
genomes, as is the case of barley and wheat.
Although FCM has significant impacts in various fields of
plant research, there are still some challenges that must be
overcome before its potential is fully realized. Identification of
secondary metabolites that may compromise the quality of
FCM assays (6) and optimization of protocols to ameliorate
their negative effect are badly needed. Alternative methods for
the preparation of nuclear suspensions for FCM such as the
bead beating protocol (20) and the use of tissues with reduced
amounts of interfering compounds [e.g., seeds (21)] are
potential solutions that need further research. In addition, the
possibilities for storing plant samples prior to analysis (i.e.,
fixation, freezing, and/or dehydration) are limited and more
work needs to be done in this area. Some recent studies
demonstrated the feasibility of sample storage (8), but much
more work is still ahead. Finally, we would like to emphasize
the increasing importance of educational aspects, mainly for
effective knowledge dissemination concerning best practices
(e.g., type of standardization, selection of fluorochromes and
standards, presentation of data and measures of result quality,
use of appropriate terminology).
Many of the topics covered in this commentary are thor-
oughly discussed in the first book dedicated to plant flow
cytometry, which was published last year (22). In fact, the year
2007 marked a new era in plant FCM, as in addition to the
book, the first database (http://flower.web.ua.pt/) (23), first
forum (http://flowerdatabase.20.forumer.com/), and the first
blog (http://flowerdatabase.blogspot.com/) were launched on-
line, all devoted to the applications of FCM in plant sciences.
Complementing the recent comprehensive review on applica-
tions of FCM to plant evolutionary and population biology
(7), the review of Ochatt in the current issue of Cytometry (5)
maps the applications of FCM in the field of plant breeding
and fills some of the remaining gaps. Along with the tradi-
tional topics (e.g., ploidy screening), the review provides a sum-
mary of some less-known uses of FCM in plants, including the
analysis of cell wall components and in vitro regeneration com-
petence, and may thus serve as a handy source of information
for plant breeders and biotechnologists. It is evident that plants
became a strong player on the FCM stage in recent years; a
‘‘tangible’’ evidence for this may come from the recent ISAC
2008 Congress in Budapest, where—for the first time—a tuto-
rial and two workshops fully devoted to plant systems was held.
LITERATURE CITED
1. Heller FO. DNS-Bestimmung an Keimwurzeln von Vicia faba L. mit Hilfe derImpulscytophotometrie. Ber Deutsch Bot Ges 1973;86:437–441.
2. Galbraith DW, Harkins KR, Maddox JM, Ayres NM, Sharma DP, Firoozabady E.Rapid flow cytometric analysis of the cell cycle in intact plant tissues. Science1983;220:1049–1051.
3. Galbraith DW. Cytometry and plant sciences: A personal retrospective. CytometryPart A 2004;58A:37–44.
4. Loureiro J, Suda J, Dolezel J, Santos C. FLOWER: A plant DNA flow cytometry data-base. In: Dolezel J, Greilhuber J, Suda J, editors. Flow Cytometry with PlantCells: Analysis of Genes, Chromosomes and Genomes. Weinheim: Wiley-VCH; 2007.pp 423–438.
5. Ochatt SJ. Flow cytometry in plant breeding. Cytometry Part A 2008;73A: in press.doi: 10.1002/cyto.a. 20562 (this issue).
6. Loureiro J, Rodriguez E, Dolezel J, Santos C. Flow cytometric and microscopic analy-sis of the effect of tannic acid on plant nuclei and estimation of DNA content. AnnBot 2006;98:515–527.
7. Kron P, Suda J, Husband BC. Applications of flow cytometry to evolutionary andpopulation biology. Annu Rev Ecol Evol Syst 2007;38:847–876.
8. Suda J, Tr�avn�ıcek P. Reliable DNA ploidy determination in dehydrated tissues of vas-cular plants by DAPI flow cytometry—New prospects for plant research. CytometryPart A 2006;69A:273–280.
9. Greilhuber J, Temsch E, Loureiro J. Nuclear DNA content measurement. In: DolezelJ, Greilhuber J, Suda J, editors. Flow Cytometry with Plant Cells: Analysis of Genes,Chromosomes and Genomes. Weinheim: Wiley-VCH; 2007. pp 67–101.
10. Pfosser M, Magyar Z, B€ogre L. Cell cycle analysis in plants. In: Dolezel J, GreilhuberJ, Suda J, editors. Flow Cytometry with Plant Cells: Analysis of Genes, Chromosomesand Genomes. Weinheim: Wiley-VCH; 2007. pp 323–347.
11. Barow M. Endopolyploidy in seed plants. Bioessays 2006;28:271–281.
12. Matzk F. Reproduction mode screening. In: Dolezel J, Greilhuber J, Suda J, editors.Flow Cytometry with Plant Cells: Analysis of Genes, Chromosomes and Genomes.Weinheim: Wiley-VCH; 2007. pp 131–152.
13. Bartos J, Alkhimova O, Dolezelova M, De Langhe E, Dolezel J. Nuclear genome sizeand genomic distribution of ribosomal DNA in Musa and Ensete (Musaceae): Taxo-nomic implications. Cytogenet Genome Res 2005;109:50–57.
14. Loureiro J, Pinto G, Lopes T, Dolezel J, Santos C. Assessment of ploidy stability of thesomatic embryogenesis process in Quercus suber L. using flow cytometry. Planta2005;221:815–822.
15. Eeckhaut TGR, Werbrouck SPO, Leus LWH, Van Bockstaele EJ, Debergh PC. Chemi-cally induced polyploidization in Spathiphyllum wallisii Regel through somaticembryogenesis. Plant Cell Tissue Organ Cult 2004;78:241–246.
16. Matzk F, Meister A, Schubert I. An efficient screen for reproductive pathways usingmature seeds of monocots and dicots. Plant J 2000;21:97–108.
17. Galbraith D. Analysis of plant gene expression using flow cytometry and sorting. In:Dolezel J, Greilhuber J, Suda J, editors. Flow Cytometry with Plant Cells: Analysis ofGenes, Chromosomes and Genomes. Weinheim: Wiley-VCH; 2007. pp 405–422.
18. Weir IE, Pham NA, Hedley DW. Oxidative stress is generated via the mitochondrialrespiratory chain during plant cell apoptosis. Cytometry Part A 2003;54A:109–117.
19. Dolezel J, Kubal�akov�a M, Such�ankov�a P, Kov�arova P, Bartos J, Simkov�a H. Chromo-some analysis and sorting. In: Dolezel J, Greilhuber J, Suda J, editors. Flow Cytometrywith Plant Cells: Analysis of Genes, Chromosomes and Genomes. Weinheim: Wiley-VCH; 2007. pp 373–403.
20. Roberts AV. The use of bead beating to prepare suspensions of nuclei for flow cyto-metry from fresh leaves, herbarium leaves, petals and pollen. Cytometry Part A2007;71A:1039–1044.
21. �Sliwin�ska E, Zieli�nska E, Jedrzejczyk I. Are seeds suitable for flow cytometric estima-tion of plant genome size? Cytometry Part A 2005;64A:72–79.
22. Dolezel J, Greilhuber J, Suda J. Flow Cytometry with Plant Cells: Analysis of Genes,Chromosomes and Genomes. Weinheim: Wiley-VCH; 2007.
23. Loureiro J, Rodriguez E, Santos C, Dolezel J, Suda J. FLOWER: A plant DNA flowcytometry database (release 1, January 2008). Available at: http://flower.web.ua.pt/.
COMMENTARY
580 Plant Flow Cytometry