organellar signaling expands plant phenotypic variation

105
University of Nebraska - Lincoln University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Theses, Dissertations, and Student Research in Agronomy and Horticulture Agronomy and Horticulture Department 10-2012 Organellar Signaling Expands Plant Phenotypic Variation and Organellar Signaling Expands Plant Phenotypic Variation and Increases the Potential for Breeding the Epigenome Increases the Potential for Breeding the Epigenome Roberto De la Rosa Santamaria University of Nebraska-Lincoln Follow this and additional works at: https://digitalcommons.unl.edu/agronhortdiss Part of the Agriculture Commons, and the Genetics Commons De la Rosa Santamaria, Roberto, "Organellar Signaling Expands Plant Phenotypic Variation and Increases the Potential for Breeding the Epigenome" (2012). Theses, Dissertations, and Student Research in Agronomy and Horticulture. 57. https://digitalcommons.unl.edu/agronhortdiss/57 This Article is brought to you for free and open access by the Agronomy and Horticulture Department at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Theses, Dissertations, and Student Research in Agronomy and Horticulture by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln.

Upload: others

Post on 07-Jun-2022

3 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Organellar Signaling Expands Plant Phenotypic Variation

University of Nebraska - Lincoln University of Nebraska - Lincoln

DigitalCommons@University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln

Theses, Dissertations, and Student Research in Agronomy and Horticulture Agronomy and Horticulture Department

10-2012

Organellar Signaling Expands Plant Phenotypic Variation and Organellar Signaling Expands Plant Phenotypic Variation and

Increases the Potential for Breeding the Epigenome Increases the Potential for Breeding the Epigenome

Roberto De la Rosa Santamaria University of Nebraska-Lincoln

Follow this and additional works at: https://digitalcommons.unl.edu/agronhortdiss

Part of the Agriculture Commons, and the Genetics Commons

De la Rosa Santamaria, Roberto, "Organellar Signaling Expands Plant Phenotypic Variation and Increases the Potential for Breeding the Epigenome" (2012). Theses, Dissertations, and Student Research in Agronomy and Horticulture. 57. https://digitalcommons.unl.edu/agronhortdiss/57

This Article is brought to you for free and open access by the Agronomy and Horticulture Department at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Theses, Dissertations, and Student Research in Agronomy and Horticulture by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln.

Page 2: Organellar Signaling Expands Plant Phenotypic Variation

ORGANELLAR SIGNALING EXPANDS PLANT PHENOTYPIC VARIATION AND

INCREASES THE POTENTIAL FOR BREEDING THE EPIGENOME

By

Roberto De la Rosa Santamaria

A DISSERTATION

Presented to the Faculty of

The Graduate College at the University of Nebraska

In Partial Fulfillment of Requirements

For the Degree of Doctor of Philosophy

Major: Agronomy

(Plant Breeding and Genetics)

Under the Supervision of Professor Sally A. Mackenzie

Lincoln, Nebraska

October, 2012

Page 3: Organellar Signaling Expands Plant Phenotypic Variation

ORGANELLAR SIGNALING EXPANDS PLANT PHENOTYPIC VARIATION AND

INCREASES THE POTENTIAL FOR BREEDING THE EPIGENOME

Roberto De la Rosa Santamaria, Ph.D.

University of Nebraska, 2012

Adviser: Sally A. Mackenzie

MUTS HOMOLOGUE 1 (MSH1) is a nuclear gene unique to plants that functions

in mitochondria and plastids, where it confers genome stability. Phenotypic

effects of MSH1 down- regulation were studied in sorghum inbreed line Tx430

and Arabidopsis ecotype Columbia-0, with the hypothesis that RNAi suppression

of MSH1 triggers retrograde signaling from organelles to the nucleus, alters the

epigenome, and derives heritable phenotypic variation suitable for artificial

selection. An array of morphological traits and metabolic pathways was detected,

including leaf variegation, male sterility and dwarfism, associated with altered

gibberellic acid metabolism, higher levels of reactive oxygen species (ROS), and

decreased synthesis of ATP. A phenotype that combines dwarf, increased

branching, reduced stomatal density and delayed flowering was identified, and

designated developmental reprogrammed (MSH1-dr). Reproducible in additional

plant species, this phenotypic variation is partially reversed by exogenous GA. In

sorghum, the phenotype displays complete penetrance under self-pollination,

even after segregation of the transgene, whereas progeny of MSH1-dr transgene

null plants x wildtype Tx430 display enhanced growth. Significant differences for

agronomic traits and response to selection were observed in the tested F2 to F4

Page 4: Organellar Signaling Expands Plant Phenotypic Variation

generations, with mean values that surpass the wildtype up to 70% for grain

yield/panicle and plant height, and 100% for biomass yield/plant. SSR marker

analyses among the parental phenotypes Tx430 and MSH1-dr transgene null,

and their derived lines, show no polymorphism, suggesting that the observed

changes are non-genetic. In Arabidopsis, this enhanced growth is accompanied

by genome methylation changes, whereas genetic hemi-complementation

indicates that the novel phenotype results from chloroplast disruption.

Page 5: Organellar Signaling Expands Plant Phenotypic Variation

4

Dedication

I want to dedicate this Thesis to my wife Rosalba, and our kids Roberto Edwin

and Shadid Fernanda, because of the love they have shared with me and

inspired on me to pursue new goals that alone I never would have reached. I am

convinced that beside a great man there is a great woman, and a great family.

I also dedicate this to my parents: Liborio Apolinar De la Rosa and Elvira

Santamaria; he just gave me my first lessons about agriculture and practical

plant breeding, while she just took care of all of the family; both have taught to

me that family is the cornerstone for every success in life.

For my parents in law Dolores Hernandez and Ismael Montiel (RIP), and sisters

in law Esthela and Elizabeth Montiel, who have been always there

unconditionally sharing successes and challenges.

For my brothers and sister: Pedro, Dionisio, Francisco, Ernesto, Gorgonio (RIP)

Reynaldo, Maria del Rocio, and Oscar; for my nieces and nephews.

Page 6: Organellar Signaling Expands Plant Phenotypic Variation

5

Acknowledgements

I want to express my sincere gratitude to my adviser Dr. Sally A. Mackenzie,

whose support was determinant for me to reach this goal. Among other things,

she taught to me how to write, and encouraged me to see what Mother Nature

says through biological phenomena.

I thank sincerely the members of my supervisory committee, Drs.: Ismail

Dweikat, David Holding, Alan Christensen, and Tom Hoegemeyer for their

important suggestions and teaching during my academic program.

I am express my gratitude to Dr. John Rajewski, for his support during the

development of field experiments, to Osval Montesinos, for his help in the

statistical analyses, and to Victoria Lozano, for her logistical help.

I thank former and current members of Mackenzie Lab: Maria, Vikas, Jaime,

Wilson, Ajay, Saleem, Xue hui, Yashi, Ying Zhi, Fareha, Peibei, Geetanjali,

Kamaldeep, Ido, Ray, Omar, and Hardik; in different ways, everyone helped me

to be successful in this endeavor.

I thank Amy Hilske and Samantha Link for their careful attention of the plant

material used in greenhouse experiments, and the administrative staff of the

Center for Plant Science Innovation: Barb, Holly, Teresa, Lisa, Laurie, and Tracy.

I also thank Colegio de Postgraduados Mexico, the Fulbright program, and the

National Science Foundation for the sponsorship I received during these doctoral

studies; the latter through the program of my academic adviser.

Page 7: Organellar Signaling Expands Plant Phenotypic Variation

6

Table of Contents

Abstract…………………………………………………………………………... 2

Dedication……………………………………………………………………….. 4

Acknowledgements……………………………………………………………. 5

Table of Contents………………………………………………………………. 6

List of Figures……………………….………………………………………….. 10

List of Tables……………………………………………………………………. 12

Chapter 1…………………………………………………………………………. 14

Literature Review.…………………………………………………………

• Introduction…………………………………………………………

14

14

• Nuclear and organellar plant genome interactions: how they

relate to the epigenome to effect plant phenotypy……………..

14

• The nuclear gene MSH1 and plant organelle interactions…… 17

• The nature of MSH1-associated mitochondrial genome

recombination……………………………………………………...

19

• MSH1 RNAi down-regulation and plant phenotypic plasticity... 20

• Genetic and epigenetic variation………………………………... 22

• The model plants to be used in this study……………….……..

Arabidopsis…………………………………………………………

Sorghum……………………………………………………………

23

23

24

• Rationale for epigenetic crop breeding………………………… 26

• References……………………………………………………….. 27

Page 8: Organellar Signaling Expands Plant Phenotypic Variation

7

Chapter 2…………………………………………………………………………. 34

Chloroplast-mediated plant developmental reprogramming as a

result of MUTS HOMOLOG1 suppression…………………………….

34

Abstract…………………………………………………………… 34

Introduction……………………………………………………….. 35

Methods…………………………………………………………… 36

• Plant materials and growth conditions………………… 36

• Microscopy……………………………………………….. 39

• RNA Isolation and Real-Time PCR Analysis ………… 40

• Small RNA analysis…………………..…………………. 40

• Genomic DNA methylation assay……………………… 41

• Metabolite Analysis……………………………………… 41

Results……………………………………………………………. 43

• MSH1 suppression induces similar phenotypic

changes in sorghum as in other plant species…………

43

• Phenotypic variants induced in sorghum by MSH1

RNAi suppression are heritable…………………………

43

• Gibberellic acid partially restores the altered

phenotype, with significant interaction between GA

dosage and the RNAi transgene……………………….

44

• The MSH1-dr phenotype in transgene-null lines

displays enhanced growth following crosses with

wildtype……………………………………………………

46

Page 9: Organellar Signaling Expands Plant Phenotypic Variation

8

• Fertility restoration occurs with wildtype pollen or in

CMS MSH1-RNAi lines following segregation of the

transgene…………………………………………………..

47

• Different metabolic pathways are altered by MSH1

suppression……………………………………………….

48

• Chloroplast changes are responsible for the MSH1-dr

phenotype…………………………………………………

50

Discussion………………………………………………………… 51

References………………………………………………………. 55

Chapter 3………………………………………………………………………… 71

Organelle perturbation alters the epigenome to produce dramatic

and heritable changes in plant growth………………………………….

71

Abstract…………………………………………………………… 71

Introduction……………………………………………………….. 73

Materials and methods………………………………………...... 76

• Plant materials……..…………………………………….. 76

• Field experiments………………………………………… 77

• Phenotypic traits…………………………………………. 78

• Statistical analyses……………………………………… 78

• Genotyping MSH1-dr plants……………………………. 79

• SSR marker screening …………………………………. 80

Results……………………………………………………………. 80

• The MSH1-dr sorghum phenotype is fully penetrant

Page 10: Organellar Signaling Expands Plant Phenotypic Variation

9

under self-pollination, and derives enhanced growth

in crosses to wildtype, with expanded phenotypic

variation…………………………………………………..

80

• Derived epi-lines show enhanced growth for

agronomic traits with significant environmental

interaction effects…………………………………………

81

• Enhanced growth is also observed in derived

progenies of msh1 mutant x wildtype Arabidopsis…....

82

• The phenotypic traits are responsive to selection….… 84

• MSH1-dr and derived epi-lines are not polymorphic

compared to wildtype……………………….……………

84

Discussion………………………………………………………… 85

References………………………………………………………... 88

Conclusion…………………………………………………………………….. 103

 

 

 

 

 

 

 

Page 11: Organellar Signaling Expands Plant Phenotypic Variation

10

List of Figures

Figure 2.1. Plant height distribution in a T3 MSH1 RNAi sorghum

population………………………………………………………………….

58

Figure 2.2. Plant height response to gibberellic acid (GA) in MSH1-dr

sorghum seedlings………………………………….…………………..

58

Figure 2.3. Plant height restoration by exogenous GA in MSH1-dr

sorghum.............................................................................................

59

Figure 2.4. Reversal of the MSH1-RNAi phenotype and enhanced growth

by crossing in sorghum…………………………………………………

59

Figure 2.5. Transcriptional and metabolic changes in Arabidopsis msh1

mutant and hemi-complementation lines……………………………..

60

Figure 2.6. MSH1 methylation and gene expression………………………… 61

Figure 2.7. PCR products of T3 sorghum plants displaying the MSH1-dr

phenotype.........................................................................................

62

Figure 3.1. Deriving MSH1-epiF2 populations of sorghum and

Arabidopsis……………………………………………………………..…

92

Figure 3.2. Enhanced growth phenotype of MSH1-dr-epi-lines of

sorghum……………………………………………………………………

92

Figure 3.3. Plant height distribution in F2 sorghum epi-lines……..…………. 93

Figure 3.4. Grain yield of F2 MSH1-dr epi-lines grown in two field

environments…………………………………………………………….

93

Figure 3.5. MSH1-epi enhanced growth in F2 Arabidopsis………………….. 94

Figure 3.6. Evidence of enhanced growth in F4 Arabidopsis……………….. 95

Page 12: Organellar Signaling Expands Plant Phenotypic Variation

11

Figure 3.7. Grain yield is responsive to selection in derived MSH1-dr

sorghum epi-lines………………………………………………….........

95

Figure 3.8. MSH1-dr epi-lines selected for low grain………………………… 96

Figure 3. 9. Sample SSR marker analysis of sorghum genomic DNA…….. 96

Page 13: Organellar Signaling Expands Plant Phenotypic Variation

12

List of Tables

Table 2.1. Phenotypic traits of T3 MSH1-RNAi progenies and wildtype

(TX430) sorghum…….………………………………………………

63

Table 2.2. Frequency of MSH1-dr sorghum plants arising in T3 families 63

Table 2.3. Inheritance of the dwarf phenotype in T3, T4 and T5

generations…………………………………………………………...

64

Table 2.4. Comparison of phenotypic traits between T4 MSH1-dr and

wildtype sorghum…………………………………………………….

64

Table 2.5. Stomatal number in sorghum non transgenic MSH1-dr and

wildtype sorghum…………………………………………………….

65

Table 2.6. Plant height (PH) response to GA in MSH1-dr sorghum

seedlings……………………………………………………………...

65

Table 2.7. GA effect on traits of MSH1-dr sorghum progenies………… 65

Table 2.8. Plant height of the F1 progeny between sorghum MSH1-dr

x Tx430……………………………………………………………….

66

Table 2.9. Plant height in the F1 of reciprocal crosses (RC) of sorghum

TX430 x MSH1-dr……………………………………………………

66

Table 2.10. Plant height of the F1 between non dwarf male sterile

sorghum MSH1(-) or MSH1(+) x Tx430…………………………..

67

Table 2.11. Plant height of individual F1 progenies between non dwarf

male sterile sorghum MSH1(-) x Tx430………………………….

67

Table 2.12. Plant height of F1 between MSH1-dr transgenic sorghum

pollinated by wildtype………………………………………………..

67

Page 14: Organellar Signaling Expands Plant Phenotypic Variation

13

Table 2.13.Fertility restoration in crosses of male sterile T3 sorghum

plants………………………………………………………………….

68

Table 2.14. Arabidopsis gene expression changes associated with

altered phenotypes………………………………………………….

68

Table 2.15. Changes in GA content with loss of MSH1………………... 69

Table 2.16. Metabolite changes in Arabidopsis msh1 and sorghum

MSH1-RNAi plants…………………………………………………..

69

Table 2.17. Primers used in quantitative PCR and hybridization

assays…………………………………………………………..…….

70

Table 3.1.Variance comparison of F2 sorghum MSH1-dr epi-lines and

wildtype……………………………………………………………….

97

Table 3.2. Frequency of the MSH1-dr phenotype epi-F3 families……… 98

Table 3.3. Mean value samples of agronomic traits in three

generations of MSH1 epi-lines…………………………………….

99

Table 3.4. Phenotypic data from Arabidopsis F2 families derived by

crossing hemi-complementation lines x Col-0 wild type ……......

100

Table 3.5. SSR marker polymorphism output in sorghum……………… 101

 

 

 

 

 

 

Page 15: Organellar Signaling Expands Plant Phenotypic Variation

14

Chapter 1

Literature Review

I. Introduction

Nuclear and organellar plant genome interactions: how they relate to the

epigenome to effect plant phenotypy. The plant genome is compartmentalized

in the nucleus, mitochondria and plastids; however, the interactive effects of

these genetic components on plant phenotype are not well elucidated. Although

genetic variation has been documented as the main factor determining

phenotypic variation in higher organisms (Hochholdinger and Hoecker, 2007;

Springer and Stupar, 2007; Becker et al. 2011), there is accumulating evidence

that organellar effects influence plant phenotype (Martinez-Zapater et al. 1992;

Sandhu et al. 2007; Yu et al. 2007; Shedge et al. 2010), supporting the proposed

mechanism of retrograde signaling (Liu and Butow, 2006; Rhoades et al. 2006;

Dietzel et al. 2009). In other words, while nuclear genes control most organellar

gene expression, retrograde signaling from the organelles influences the

expression of nuclear genes under normal or stressful conditions (Nott et al.

2006; Butow and Avadhani, 2004). Aspects of environmental signaling have

been proven to be heritable and epigenetic in their control (Nightingale et al.

2006; Skinner et al. 2010; Wallace and Fan, 2010), and an emerging question is

how retrograde signaling might modify the cellular epigenetic status and, in turn,

influence phenotypic variation.

Page 16: Organellar Signaling Expands Plant Phenotypic Variation

15

Retrograde signaling is a cellular means of communication to indicate

organellar proteome status, influencing physiological cascades and acclimation

to the environment (Liu and Butow, 2006; Rhoades and Subbaiah, 2007; Dietzel

et al. 2009). The phenomenon is also referred to as retrograde regulation or

retrograde stress signaling (Liu and Butow, 2006), and it has been documented

in yeast, Saccharomyces cereviseae (Liu and Butow, 2006), mammals (Butow

and Avadhani, 2004), and plants (Rhoades and Subbaiah, 2007); in plants, the

mechanism involves both mitochondria and chloroplasts (Nott et al. 2006;

Rhoades and Subbaiah, 2007; Ruckle et al. 2007).

Mitochondrial retrograde regulation (mtRR) is mainly detected during the

synthesis of ATP, which is the product of oxidative phosphorylation (Mackenzie

and McIntosh, 1999; Kucej and Butow, 2007). In this process, mtDNA encodes

essential components coupled with the electron transport chain (ETC) (Burger et

al. 2003; Liu and Butow, 2006) driving the synthesis of reactive oxygen species

(ROS) (Rhoades et al. 2006), whose increased levels induce changes in nuclear

gene expression such as the alternative oxidation pathway (AOX) (Vanlerberghe

and McIntosh 1997; Van Aken et al. 2009). mtRR also involves factors that

detect and transmit mitochondrial signals to the nucleus effecting the expression

of genes related to glutamate biosynthesis, nitrogen metabolism, and the

activation of the cytochrome c oxidase (COX) (Liu and Butow, 2006);

modifications of these pathways can be accompanied by mitochondrial

dysfunction, with negative effects on mitochondrial DNA maintenance (Liu and

Butow, 2006) and chloroplast development (Gu et al. 1993).

Page 17: Organellar Signaling Expands Plant Phenotypic Variation

16

Chloroplast retrograde regulation (cRR) occurs mainly during the

synthesis of photosynthetic enzymes, since plastid gene expression depends on

nuclear encoded factors in response to developmental processes or

environmental signals (Barkan and Goldschmidt-Clermont, 2000). In this context,

two elements that have been postulated to influence nuclear gene expression are

the chlorophyll precursors Mg-protoporphyrin IX and Mg-Protoporphyrin IX-

methylesters (Mg-ProtoIXme) (Nott et al. 2006); in addition, chloroplast signaling

is influenced by redox state of the photosynthetic electron transport (PET) chain,

NADPH and ATP synthesis, carbon intake, and photorespiration (Nott et al.

2006; Atkin and Maréchal, 2009). Since photochemical reactions in chloroplasts

also generate ROS, different reactive oxygen intermediates are derived as

partially reduced forms of atmospheric oxygen (O2); then, singlet oxygen (O21),

superoxide radical (O2-), hydrogen peroxide (H2O2), or hydroxyl radical (HO-)

become important retrograde signaling molecules (Mittler, 2002) that participate

in the regulation of downstream elements, and in the integration of chloroplast

biogenesis with environmental light and development (Nott et al. 2006; Ruckle et

al. 2007; Ruckle et al. 2012). Traditionally, ROS have been considered as toxic

molecules; however, current evidence indicates that they are produced steadily

by plants to control processes such as programmed cell death, response to

abiotic stress, biotic defense, and signaling (Mittler, 2002); consequently, plants

create an equilibrium between these signaling molecules and the detoxification

process when they over accumulate, being the main ROS scavengers

Page 18: Organellar Signaling Expands Plant Phenotypic Variation

17

superoxide dismutase, ascorbate peroxidase, catalase, glutathione peroxidase,

α-tocoferol, and carotenoids (Mittler, 2002).

Besides the progress to understand different metabolic pathways driven

by retrograde regulation, there is evidence that these genome interactions modify

morphological traits in plants. In different plant species, mitochondrial dysfunction

or mitochondrial genome recombination has been associated with male sterility

(Martinez-Zapater et al. 1992; Gu et al. 2003; Sandhu et al. 2007; Arrieta-Montiel

and Mackenzie, 2011) and reduced growth and heat tolerance (Sedge et al.

2010). Chloroplast perturbation has also been associated with dwarfism, altered

leaf morphology, delayed flowering and leaf variegation in Arabidopsis (Redei,

1975; Maréchal et al. 2009; Xu et al. 2011). In fact, an array of phenotypic traits

modified by altered plastid development in monocots and dicots includes reduced

growth rate, increased GA catabolism, delayed flowering, extension of juvenility,

reduced stomatal density, secondary growth, and increased branching (Xu et al.

2012). It remains unclear how organellar effects can influence expansion of plant

phenotypic variation, as a result of retrograde regulation, and whether this

process can be exploited in plant breeding systems.

The nuclear gene MSH1 and plant organelle interactions

MUTS HOMOLOG1 (MSH1) is a nuclear gene unique to plants, which

participates in recombination surveillance in plant mitochondrial and chloroplast

genomes (Abdelnoor et al. 2003; Shedge et al. 2007; Arrieta-Montiel et al. 2009;

Xu et al. 2011). Loss of MSH1 expression results in enhanced mitochondrial

Page 19: Organellar Signaling Expands Plant Phenotypic Variation

18

recombination activity by asymmetric strand invasion (Davila et al. 2010), and

altered plastid development that is associated with leaf variegation (Xu et al.

2011). Other targeted genes known to contribute to mitochondrial and/or

chloroplast genome stability include mitochondrial-targeted OSB1 (Zaegel et al.

2006) and RecA3 (Shedge et al. 2007; Rowan et al. 2010), as well as the genes

encoding whirly proteins WHY1, WHY2, and WHY3. WHY1 and WHY3 are

targeted to plastids (Krause et al. 2005; Maréchal et al. 2008; Maréchal et al.

2009), whereas WHY2 is targeted to mitochondria (Krause et al. 2005; Maréchal

et al. 2008). Among them, MSH1 appears to play a distinctive role in organellar

genome maintenance together with retrograde regulation.

Originally designated Chloroplast Mutator (CHM) and re-named AtMSH1

following its cloning and identification from Arabidopsis (Redei and Plurad, 1973;

Abdelnoor et al. 2003), MSH1 is a homolog of Escherichia coli MutS, which is

involved in mismatch repair during DNA replication (Redei and Plurad, 1973;

Reenan and Kolodner, 1992; Abdelnoor et al. 2003). The plant form of the gene

displays unique protein characteristics that have likely influenced its functions

relative to other MutS homologues from other eukaryotes (Abdelnoor et al. 2006).

The coding region of MSH1 in different plant species is around 3.3 kb,

although the overall genomic size varies from 6.3 kb in Arabidopsis (Abdelnoor et

al. 2006) to 39 kb in maize (G. Kandari, 2012, personal communication) due to

variability in intron sequence and size (Abdenoor et al. 2006). It contains 22

exons distributed in six domains, with Domains I, V and VI thought to be involved

in DNA binding, ATPase, and endonuclease functions, respectively (Abdelnoor et

Page 20: Organellar Signaling Expands Plant Phenotypic Variation

19

al. 2006). Domain VI is a GIY-YIG homing endonuclease likely derived by gene

fusion in the evolution of the gene (Abdelnoor et al. 2006). Interestingly, an HNH

homing endonuclease also exists at the carboxy terminus of a mitochondrial

MutS homolog in soft corals, likely the result of convergent evolutionary

processes (Abdelnoor et al. 2006). In Arabidopsis, results of mutation or

disruption of Domain V and VI indicate these domains to be essential to gene

function (Martinez-Zapater et al. 1992; Sakamoto et al. 2003; Abdelnoor et al.

2006). For example, msh1 mutants display leaf variegation and cytoplasmic male

sterile (CMS) phenotypes that undergo maternal inheritance (Martinez-Zapater et

al. 1992; Abdelnoor et al. 2003; Sandhu et al. 2007).

The nature of MSH1-associated mitochondrial genome recombination

The plant mitochondrial genome is unusually recombinogenic, undergoing

DNA exchange at three types of repeated sequences (Arrieta-Montiel and

Mackenzie, 2011). Large homologous repeats, larger than 1 kb, undergo high

frequency reciprocal DNA exchange to produce a multipartite configuration as a

result of genome subdivision to equal parental and recombinant molecular forms

(Arrieta-Montiel and Mackenzie, 2011). Intermediate repeats of 50 to 500 bp

participate in low frequency asymmetric recombination; as a result, mitochondrial

DNA polymorphism and variation in relative molecular copy number are detected,

a phenomenon known as substoichiometric shifting (SSS) (Small et al. 1987;

Arrieta-Montiel et al. 2007; Arrieta-Montiel and Mackenzie, 2011). Small repeats,

4-25 bp in size, also participate in mitochondrial genome rearrangement via non-

Page 21: Organellar Signaling Expands Plant Phenotypic Variation

20

homologous end joining (NHEJ), leading to the formation of sequence chimeras

(Small et al. 1987; Arrieta-Montiel et al. 2009).

In contrast to the plant mitochondrial genome, chloroplast genomes in

angiosperms are highly conserved in structure and gene sequence (Palmer,

1985), with four typical segments: a large region of single copy genes (LSC), a

small region of single copy genes (SSC), and two copies of an inverted repeat

that separate both single copies (Sugiura and Takeda, 2000); when

recombination occurs, it is generally restricted to the inverted repeat segments

(Palmer, 1983, 1985). Disruption of MSH1 in plants produces green-white

variegated sectors within which low frequency chloroplast illegitimate

recombination can be detected (Xu et al. 2011). Moreover, MSH1-GFP

transgenic fusion constructions show MSH1 chloroplast localization within

punctate structures thought to be nucleoids, further supporting a role for MSH1 in

chloroplast DNA binding (Xu et al. 2011).

MSH1 RNAi down-regulation and plant phenotypic plasticity

The properties and function of MSH1 have been studied by RNAi down-

regulation in different dicot and monocot plant species (Abdelnoor et al. 2006;

Sandhu et al. 2007; Shedge et al. 2007; Feng et al. 2008), in which novel and

common traits have been observed associated with organellar disruption. In

tobacco and tomato, the RNAi mediated suppression of MSH1 induced leaf

variegation and cytoplasmic male sterility, related to enhanced mitochondrial

recombination and altered plastid development (Maréchal et al. 2009; Sandhu et

Page 22: Organellar Signaling Expands Plant Phenotypic Variation

21

al. 2007, Xu et al. 2011). However, in 20% of Arabidopsis msh1 mutants, and

20% of MSH1-RNAi transgenic lines, additional phenotypic plasticity is evident.

In Arabidopsis, short-day (10-hr day length) growth conditions produce enhanced

secondary growth, aerial rosettes and extended juvenility, delayed flowering,

reduced growth rate, enhanced branching and floral morphology alterations

(Shedge et al. 2010; Xu et al. 2012). The msh1 mutant also shows enhanced

high light tolerance (Xu et al. 2011) and thermo-tolerance in the msh1 recA3

double mutant (Shedge et al. 2010). In the monocots sorghum and pearl millet,

these novel developmental alterations include short internode length, dwarfism,

increased tillering, delayed flowering , male sterility, reduced stomatal density,

and altered GA metabolism as a consequence of MSH1 disruption (Feng, 2008;

Xu et al. 2012).

Although chloroplasts have been studied most extensively in

photosynthesis and metabolism, they also participate in pathways related to

stress response and signaling (Bouvier et al. 2009) and in the synthesis of other

organic compounds. This stress signaling includes the synthesis of molecules

like jasmonic acid, salicylic acid, gibberellins and carotenoids (Bouvier et al.

2009), and lipid biosynthesis and amino acid metabolism (Galili, 1995; Ohlrogge

and Browse, 1995). Chloroplast participation in the extensive developmental

reprogramming of phenotype in msh1 mutants was demonstrated by hemi-

complementation experiments, in which an MSH1 transgene construct containing

a chloroplast targeting sequence was able to complement the aberrant

Page 23: Organellar Signaling Expands Plant Phenotypic Variation

22

phenotypes, when introduced to the mutant, whereas an MSH1 construct

containing a mitochondrial pre-sequence was not (Xu et al. 2012).

Genetic and epigenetic variation

Genetic variation is derived from structural or DNA sequence differences

represented by insertion-deletions (Indels), or single nucleotide polymorphisms

(SNPs) (Richards, 2006; Springer and Stupar, 2007; Johnson and Tricker, 2010).

Epigenetic effects, in contrast, refer to changes in gene expression that are not

related to changes in DNA sequence (Richards, 2006; Berger et al. 2009;

Eichten et al. 2011).

Major epigenetic modifications include DNA methylation, histone modification,

and RNA interference (Rutherford and Henikoff, 2003; Daxinger and Whitelaw,

2010;  Johnson and Tricker, 2010). DNA methylation is the most studied, can be

stably inherited trans-generationally (Kakutani, 2002; Paszkowski and

Grossniklaus, 2011), and is one of the most important epigenetic factors that

regulate gene expression in nature (Richards, 2006; Chen, 2010). The

phenomenon relies on the methylation of cytosine residues in the following

environments: CG, CHG, or CHH, where H is any residue except G. Cytosine

methylation takes place within transposable elements, as well as in coding or

promoter regions, and may influence transposition activity (Zhang et al. 2006;

Becker et al. 2011; Schmitz et al. 2011).

In an epigenetic context, gene expression of hypermethylated genes

decreases, while hypomethylated genes show higher expression. Differential

Page 24: Organellar Signaling Expands Plant Phenotypic Variation

23

methylation has been demonstrated, for example, in flower polymorphism in

SUPERMAN (SUP) alleles in Arabidopsis (Jacobsen and Meyerowitz, 2007),

variation in energy use efficiency in canola (Brassica napus) (Hauben et al.

2009), and hybrid vigor in corn (Tani et al. 2005), suggesting a role of the

epigenome in plant adaptation to environmental conditions (Rutherford and

Henikoff, 2003). Once thought to be rescheduled every generation, epigenetic

effects conditioned by DNA methylation have been demonstrated to undergo

trans-generational inheritance (Daxinger and Whitelaw, 2010), which indicates a

potential for response to selection (Hauben et al. 2009), and utility in plant

breeding, perhaps underpinning genotype by environment interactions.

The model plants to be used in this study:

Arabidopsis

Arabidopsis thaliana (Brassicaceae) has become a battle horse in genetic

studies due to its small nuclear genome size, 2n=10 and 125 Mbp, relatively

short biological cycle, large seed number, and small plant size (Redei, 1975;

Meinke et al. 1998; AGI, 2002). The entire Arabidopsis genome has been

sequenced, assembled, and extensively annotated, so that this species serves

as a model plant for identifying novel genes and for functional genomics studies

in dicot species (AGI, 2000). In addition, the description of the Arabidopsis

methylome (Zhang et al. 2006) was the first to be published, and population

variation is also best understood in this species in the context of genetics and

epigenetics. It has been feasible in Arabidopsis to begin to learn the patterns of

Page 25: Organellar Signaling Expands Plant Phenotypic Variation

24

methylation that relate to gene density as well as transposable element activity

(Riddle and Richards, 2002).

Genomic and developmental features of Arabidopsis have also facilitated

comprehensive mutational approaches and Agrobacterium mediated

transformation projects (AGI, 2000). Identification of mutations in the methylation

machinery have allowed the development of epigenetically-altered recombinant

inbred lines (epi-RILs), designed to maximize epigenetic variation and minimize

genetic variation (Richards, 2009). This germplasm shows heritable phenotypic

variation for several important traits (Johannes et al. 2009), and maintains epi-

allelic plasticity (Reinders et al. 2009).

 Sorghum

Sorghum (Sorghum bicolor Moench; Poaceae) is an important model plant due to

its relatively small genome size among the grasses, at 730 Mbp, its genomic co-

linearity with maize, and the availability of a full genome sequence. Its genome

and similarities in growth phenotype to maize offer an alternative for functional

genomics studies in monocot species (Paterson et al. 2009). Moreover, its C4

photosynthesis system makes it ideal to investigate carbon assimilation in C4

grasses, while the high inbreeding level it can tolerate offers a species ideal for

genetic studies that can be combined with Agrobacterium mediated

transformation (Zhao et al. 2000; Howe et al. 2006; Feng, 2008). Since sorghum

displays impressive levels of drought tolerance, it is a suitable crop for semiarid

regions like northeast Africa, and also offers opportunities for identification of

Page 26: Organellar Signaling Expands Plant Phenotypic Variation

25

valuable strategies for crop improvement as we face challenges from climate

change (Paterson et al. 2009).

Sorghum ranks fifth among cereals grown worldwide, at 41 097 000

hectares (http://www.ers.usda.gov/Search/?qt=sorghum), following wheat, rice,

maize, and barley (FAOSTAT, 2010). The main world sorghum producers are:

The Western African Community and Sub-Saharan countries, India, USA,

Mexico, and Argentina, accounting for around 90% of the cultivated area. The

global sorghum production is around 65 797 000 ton, with an average yield of 1.0

ton/ha in African countries and India, and 4.5 ton/ha in the USA and Argentina; in

Mexico, sorghum yield oscillates around 3.8 ton/ha

(http://www.ers.usda.gov/Search/?qt=sorghum).

In the biofuel industry, sorghum is an important source of raw biomass

that can be grown as an annual, or as a perennial crop to produce ethanol, due

to the starch content in the kernel, and the hemi-cellulose and lignin of the stalk

(Paterson et al. 2009).

It is projected that by 2021, the sorghum demand will be around 72 076

000 ton, with the USA as main exporter

(http://www.ers.usda.gov/Search/?qt=sorghum). Therefore, efforts to increase the

efficiency of breeding methods in sorghum will be crucial to fulfill the future

sorghum demand. In that respect, the expansion of the phenotypic variation in

sorghum, as a consequence of MSH1 down regulation, discussed in Chapter 3,

illustrates the potential of this mechanism to make current breeding systems

more efficient.

Page 27: Organellar Signaling Expands Plant Phenotypic Variation

26

Rationale for epigenetic crop breeding

While heterosis has been successfully deployed during the past century in crop

production systems, the genetic and epigenetic mechanisms underlying

enhanced vigor of the offspring compared to either parent are not well

understood (Hochholdinger and Hoecker, 2007; Chen, 2010). Similarly, the

phenotypic effects of the interactions between plant genomes that result in

retrograde signaling remain to be elucidated. In the context described in this

thesis, RNA interference represents a straightforward mechanism to afford

functional genomics studies (McGinnis, 2010), permitting study of plant

organellar genome dynamics as novel sources of phenotypic variation (Sandhu

et al. 2007; Feng, 2008; Xu et al. 2011; Xu et al. 2012). Therefore, the central

hypothesis within this Dissertation is that organellar physiological changes,

mediated by RNAi suppression of MSH1 in plants, underlie chloroplast

retrograde signaling to condition heritable epigenetic variation that shows

amenability to artificial selection in plant breeding programs.

Page 28: Organellar Signaling Expands Plant Phenotypic Variation

27

References  

Abdelnoor RV, Yule R, Elo A, Christensen AC, Meyer-Gauen G, Mackenzie SA. (2003). Substoichiometric shifting in the plant mitochondrial genome is influenced by a gene homologous to MutS. Proc. Natl Acad. Sci. USA100:5968-5973.

Abdelnoor RV,Christensen AC, Mohammed S, Munoz-Castillo B, Moriyama H, Mackenzie SA. (2006). Mitochondrial genome dynamics in plants and animals: convergent gene fusions of a MutS Homologue. J Mol Evol 63:165–173.

AGI (The Arabidopsis Genome Initiative). (2000). Analysis of the genome sequence of the flowering plant Arabidopsis thaliana. Nature 408: 796-815.

Arrieta-Montiel MP, Mackenzie SA. (2011). Plant mitochondrial genomes and recombination. In: Advances in Plant Biology 1: Plant Mitochondria, F. Kempken (ed.), (New York: Springer), 65-82.

Arrieta-Montiel MP, Shedge V, Davila J, Christensen AC, Mackenzie SA. (2009). Diversity of the Arabidopsis mitochondrial genome occurs via nuclear-controlled recombination activity. Genetics 183:1261–1268.

Atkin OK, Macherel D. (2009).The crucial role of plant mitochondria in orchestrating drought tolerance. Annals of Botany 103: 581–597.

Barkan A, Goldschmidt-Clermont M. (2000). Participation of nuclear genes in chloroplast gene expression. Biochimie  82 (6–7): 7: 559–572.

Becker C. Hagmann J, Muller J, Koenig D, Stegle O, Botgwardt K, Weigel D. (2011). Spontaneous epigenetic variation in the Arabidopsis thaliana methylome. Nature: 480: 245-249.

Berger SL, Kouzarides T, Shiekhattar R, Shilatifard A. (2009). An operational definition of epigenetics. Genes and Devel. 23: 781-783

Bouvier F, Mialoundama AS, Camara B. (2009). A sentinel role for plastids. In: Plant Cell Monographs. The Chloroplast-interactions with the environment. Sandelius A. S. and Aronsson H., (Eds), (Berlin, Springer), 267-292.

Burger G, Gray MW, Lang BF. (2003). Mitochondrial genomes: anything goes. Trends Genet 19:12:709-716.

Butow RA, Avadhani NG. (2004). Mitochondrial signaling: the retrograde response. Mol. Cel. 14: 1-15.

Page 29: Organellar Signaling Expands Plant Phenotypic Variation

28

Chen ZJ. (2010). Molecular mechanisms of polyploidy and hybrid vigor. Trends Plant Sci. 15:2: 57-71.

Daxinger L. and Whitelaw E. (2010).Transgenerational epigenetic inheritance: More questions than answers. Gen. Res 20:1623–1628.

Dietzel L, Steiner S, Schröter Y, Pfannschmidt T. (2009). Retrograde signaling. The chloroplast-interactions with the environment. Sandelius A. S. and Aronsson H., (Eds) Springer-Verlag, Berlin:181-206.

Eichten SR, Swanson-Wagner RA, Schnable JC, Waters AJ, Hermanson PJ, et al. (2011). Heritable epigenetic variation among maize inbreds. PLoS Genet 7(11): e1002372. doi:10.1371/journal.pgen.1002372.

FAOSTAT (Food and Agriculture Organization of the United Nations Statistics) (2010). http://www.fao.org/corp/statistics/en/

Feng X. (2008). The molecular basis of mitochondrial genome rearrangements in pearl millet and sorghum. PhD Dissertation. University of Nebraska-Lincoln, 94 pp.

Galili, G. (1995). Regulation of lysine and threonine biosynthesis. Plant Cell 7, 899–906.

Galloway LF, Etterson JR. (2007). Transgenerational plasticity is adaptive in the wild.  Science. 318:1134-1136.

Gu J, Miles D, Newton KJ. (1993). Analysis of leaf sectors in the NCS6 mitochondrial mutant of maize. Plant Cell 5: 963-971.

Hochholdinger F, Hoecker N. (2007). Towards the molecular basis of heterosis. Trends Plant Sci 12:9:427-432.

Howe A, Sato S, Dweikat I, Fromm M, Clemente T. (2006). Rapid and reproducible Agrobacterium-mediated transformation of sorghum. Plant Cell Rep. 25: 784–79.

Hauben M, Haesendonckx B, Standaert E, Van Der Kelen K, Azmi A, Akpo H Van Breusegem F, Guisez Y, Bots M, Lambert B, Laga B, De Block M. (2009). Energy use efficiency is characterized by an epigenetic component that can be directed through artificial selection to increase yield. PNAS 106: (47): 20109-20114.

Jacobsen SE, Meyerowitz EM. (1997). Hypermethylated SUPERMAN epigenetic alleles in Arabidopsis. Science 277:1100.

Page 30: Organellar Signaling Expands Plant Phenotypic Variation

29

Johnson LJ, Tricker PJ. (2010). Epigenomic plasticity within populations: Its evolutionary significance and potential. Heredity 105:113–121.

Johannes F, Porcher E, Teixeira FK, Saliba-Colombani V, Simon M, Agier N, Bulski A, Albuisson J, Heredia F, Audigier P, et al. (2009). Assessing the impact of transgenerational epigenetic variation on complex traits. PLoS Genet 5: e1000530. doi: 10.1371/journal.pgen.1000530.

Kakutani T. (2002).Epi-alleles in plants: inheritance of epigenetic information over generations. Plant Cell Physiol. 43:10: 1106–1111.

Krause K, KilbienskiI,Mulisch M, Rodiger A, Schafer A, Krupinska K. (2005) DNA-binding proteins of the Whirly family in Arabidopsis thaliana are targeted to the organelles. FEBS Lett 579:3707–3712.

Kucej M, Butow RA. (2007). Evolutionary tinkering with mitochondrial nucleoids. Trends Cell Biol: 17: 12: 586-592.

Liu Z, Butow RA. (2006). Mitochondrial retrograde signaling. Annu. Rev. Genet. 2006. 40:159–85.

Mackenzie S, McIntosh. (1999). Higher plant mitochondria. Plant Cell11: 571–585.

Maréchal A, Parent J-S, Sabar M, Véronneau-Lafortune F, Abou-Rached C, Brisson N. (2008). Overexpression of mtDNA-associated AtWhy2 compromises mitochondrial function. BMC Plant Biol 8:42.

Maréchal A, Parent JS, Veronneau-Lafortune F, Joyeux A, Lang BF, Brisson N. (2009). Whirly proteins maintain plastid genome stability in Arabidopsis. Proc. Natl. Acad. Sci. USA 106: 14693–14698.

Martínez-Zapater JM, Gil P, Capel J, Somerville CR. (1992). Mutations at the Arabidopsis CHM locus promote rearrangements of the mitochondrial genome. Plant Cell 4(8):889-99.

McGinnis KM. (2010). RNAi for functional genomics in plants. Briefings in Functional Genomics 9: (2): 111-117.

Meinke DW, Cherry JM, Dean C, Rounsley SD, and Koornneef M. (1998). Arabidopsis thaliana: a model plant for genome analysis. Science 282: 662-665.

Mittler R. (2002). Oxidative stress, antioxidants and stress tolerance. Trends Plant Sci. 7: 405-410.

Page 31: Organellar Signaling Expands Plant Phenotypic Variation

30

Nightingale KP, O’Neill LP, Turner BM. (2006). Histone modifications: signalling receptors and potential elements of a heritable epigenetic code. Curr Op Genet & Devel 2006, 16:125–136

Nott A, Jung H-S, Koussevitzky S, Chory J. (2006). Plastid-to-nucleus retrograde signaling. Annu. Rev. Plant Biol.2006. 57:739–59.

Ohlrogge J, Browse J. (1995). Lipid biosynthesis. Plant Cell 7, 957–970.

Palmer JD. (1983) Chloroplast DNA exists in 2 orientations. Nature 301:92–93.

Palmer JD. (1985). Comparative organization of chloroplast genomes. Ann Rev Genet 19:325-354.

Paterson A, Bowers JE, Bruggmann R, et al. (2009). The Sorghum bicolor genome and the diversification of grasses. Science 457: 551-556.

Rédei  GP. (1975). Arabidopsis as a genetic tool. Annu Rev Genet 9:111-127.

Rédei GP, Plurad SB. (1973). Hereditary structural alterations of plastids induced by a nuclear mutator gene in Arabidopsis. Protoplasma 77:361-380.

Reenan RAG, Kolodner RD. (1992). Characterization of insertion mutations in the Saccharomyces cerevisiae MSH1 and MSH2 genes: evidence for separate mitochondrial and nuclear functions. Genetics 132: 975-985.

Reinders J, Wulff BB, Mirouze M, Marı-Ordonez A, Dapp M, Rozhon W, Bucher E, Theiler G, Paszkowski J. (2009). Compromised stability of DNA methylation and transposon immobilization in mosaic Arabidopsis epigenomes. Genes and Dev 23: 939–950.

Rhoades DM, Subbaiah CC. (2007). Mitochondrial retrograde regulation in plants. Mitochondrion 7: 177-194.

Rhoads DM, UmbachAL, SubbaiahCC, Siedow JN. (2006). Mitochondrial reactive oxygen species, contribution to oxidative stress and interorganellar signaling. Plant Phys. 141: 357–366.

Richards EJ. (2006). Inherited epigenetic variation —revisiting soft inheritance Nat. Rev. Genet: 7:395-401

Richards EJ. (2009). Quantitative epigenetics: DNA sequence variation need not apply. Genes Dev. 2009 23: 1601-1605.

Riddle NC, Richards EJ. (2002). The control of natural variation in cytosine methylation in Arabidopsis. Genetics162: 355.

Page 32: Organellar Signaling Expands Plant Phenotypic Variation

31

Rowan BA, Oldenburg DJ, Bendich AJ. (2010). RecA maintains the integrity of chloroplast DNA molecules in Arabidopsis. J Exp Bot 61: 10: 2575–2588.

Ruckle ME, DeMarco SM, Larkin RM. (2007). Plastid signals remodel light signaling networks are essential for efficient chloroplast biogenesis in Arabidopsis. Plant Cell 19: 3944–3960.

Ruckle ME, Burgoon LD, Lawrence LA, Sinkler CA, Larkin RM. (2012). Plastids are major regulators of light signaling in Arabidopsis. Plant Physiology 159: 366–390.

Rutheford SL, Henikoff S. (2003). Quantitative epigenetics. Nature Genetics 33:6-8.

Sakamoto W. (2003). Leaf-variegated mutations and their responsible genes in Arabidopsis thaliana . Gen Genet Syst 78: 1-9.

Sakamoto W, Kondo H, Murata M, Motoyoshi F. (1996). Altered mitochondrial gene expression in a maternal distorted leaf mutant of Arabidopsis induced by chloroplast mutator. Plant Cell 8:1377–1390.

Sandhu AP, Abdelnoor RV, Mackenzie SA. (2007). Transgenic induction of mitochondrial rearrangements for cytoplasmic male sterility in crop plants. Proc. Natl. Acad. Sci. U.S.A.104:1766–1770.

Sangster TA, Salathia N., Lee HN, Watanabe E., Schellenberg K., Morneau K, Wang H, Undurraga S, Queitsch C, Lindquist S. (2008). HSP90-buffered genetic variation is common in Arabidopsis thaliana. PNAS 105: 8: 2969–2974.

Schmitz RJ, Schultz MD, Lewsey MG, O’Malley RC, Urich MA, Libiger O, Schork NJ, Ecker JR. (2011). Transgenerational epigenetic instability is a source of novel methylation variants. Science 334:369-373.

Schmitz RJ, Ecker JR. (2012). Epigenetic and epigenomic variation in Arabidopsis thaliana.  Trends Plant Sci 17:(3): 149-154.

Schnable PS, Ware D, Fulton RS, et al. (2009). The B73 maize genome: complexity, diversity, and dynamics. Science 326: 1112-1115.

Schofield MJ, Hsieh P. (2003). DNA mismatch repair: molecular mechanisms and biological function. Annu. Rev. Microbiol. 2003. 57:579–608.

Shedge V, Arrieta-Montiel M, Christensen AC, Mackenzie SA. (2007). Plant mitochondrial recombination surveillance requires unusual RecA and MutS homologs. Plant Cell 19:1251–1264.

Page 33: Organellar Signaling Expands Plant Phenotypic Variation

32

Shedge V, Davila J, Arrieta-Montiel MP, Mohammed S, Mackenzie SA. (2010). Extensive rearrangement of the Arabidopsis mitochondrial genome elicits cellular conditions for thermotolerance. Plant Physiol. 152:1960–1970.

Skinner MK, Manikkam M, Guerrero-Bosanga C. (2010). Epigenetic transgenerational actions of environmental factors in disease etiology. Trends Endocrinology & Metabolism 21: 214-222.

Small I, Isaac PJ, Leaver CJ. (1987). Stoichiometric differences in DNA molecules containing the atpA gene suggest mechanisms for the generation of mitochondrial genome diversity in maize. EMBO J 6:865-869.

Sollars V, Lu X, Xiao L, Wang X, Garfinkel MD, Ruden DM. (2003). Evidence for an epigenetic mechanism by which Hsp90 acts as a capacitor for morphological evolution. Nature Genetics 33:70–74.

Springer NM, Stupar RM. (2007). Allelic variation in maize: How do two halves make more than a whole? Gen. Res. 17:264-275.

Sugiura M, Takeda Y. (2000). Nucleic acids. In: Biochemistry and molecular biology of plants. Buchanan B, Gruissem W, and Jones R (Eds.). pp 260-310.  

Tani E, Polidoros AN, Nianiou-Obeidat I, Tsaftaris AS. (2005). DNA methylation patterns are differently affected by planting density in maize inbreds and their hybrids. Maydica 50: 19-23.

Van Aken O, Giraud E, Clifton R, Whelan J. (2009). Alternative oxidase: a target and regulator of stress responses. Physiologia Plantarum 137: 354–361.

Vanlerberghe GC, McIntosh L. (1997). Alternative oxidase: from gene to function. Annu. Rev. Plant Physiol. Plant Mol. Biol. 48, 703–734.

Wallace DC, Fan W. (2010). Energetics, epigenetics, mitochondrial genetics. Mitochondrion. 10(1): 12–31. doi:10.1016/j.mito.2009.09.006.

Wei F, Zhang J, Zhou S, He R, Schaeffer M, et al. (2009). The physical and genetic framework of the maize B73 genome. PLoS Genet 5 (11): e1000715. doi:10.1371/journal.pgen.1000715.

Xu Y-X, Arrieta-Montiel MP, Virdi KS, de Paula WBM, Widhalm JR, Basset GJ, Davila JI, Elthon TE, Elowsky CG, Sato SJ, Clemente TE, Mackenzie SA. (2011). MutS HOMOLOG1 is a nucleoid protein that alters mitochondrial and plastid properties and plant response to high light. Plant Cell 23:3428-3441.

Page 34: Organellar Signaling Expands Plant Phenotypic Variation

33

Xu Y-Z, de la Rosa Santamaria R, Virdi KS, Arrieta-Montiel MP, Razvi F, Li S, Ren G, Yu B, Alexander D, Guo L, Feng X, Dweikat IM, Clemente TE, Mackenzie SA. (2012). The chloroplast triggers developmental reprogramming when MUTS HOMOLOG1 is suppressed in plants. Plant Physiol 159:710-720.

Yu F, Fu A, Aluru M, Park S, Xu Y, Liu H, Liu X, Foudree A, Nambogga M, Rodermel S. (2007). Variegation mutants and mechanisms of chloroplast biogenesis. Plant Cell Environ. 30: 350–365.

Zaegel V, Guermann B, Le Ret M, Andres C, Meyer D, Erhardt M, Canada YJ, Gualberto JM, Imbault P. (2006). The plant-specific ssDNA binding protein OSB1 is involved in the stoichiometric transmission of mitochondrial DNA in Arabidopsis. Plant Cell18:3548–3563.

Zhang X, Yazaki J, Sundaresan A, Cokus S, Chan SW-L, Chen H, Henderson IR, Shinn P, Pellegrini M, Jacobsen SE, Ecker JR. (2006). Genome-wide high-resolution mapping and functional analysis of DNA methylation in Arabidopsis. Cell 126, 1189–1201.

Zhao ZY, Cai T, Tagliani L, Miller M, Wang N, Pang H, Rudert M, Schroeder S, Hondred D, Seltzer J, Pierce D. (2000). Agrobacterium mediated sorghum transformation. Plant Mol. Biol. 44:789-798.

Page 35: Organellar Signaling Expands Plant Phenotypic Variation

34

Chapter 2

Chloroplast-Mediated Plant Developmental Reprogramming as a result of

MUTS HOMOLOG1 Suppression

Abstract. The effect of a single plant nuclear gene on the expression and

transmission of phenotypic variability was examined. MutS HOMOLOG 1 (MSH1)

is a plant-specific nuclear gene product that functions in both mitochondria and

plastids to maintain genome stability. RNAi suppression of the gene elicited

strikingly similar programmed changes in plant growth pattern in sorghum as in

other plant species; these changes were subsequently heritable independent of

the RNAi transgene. The altered phenotypes, designated MSH1-dr, reflect

multiple pathways that are known to participate in adaptation, including altered

phytohormone effects for dwarfed growth and reduced internode elongation,

enhanced branching, reduced stomatal density, altered leaf morphology, delayed

flowering and extended juvenility. Some of these effects are partially reversed

with application of gibberellic acid (GA), with a significant interaction between the

GA concentrations applied and the presence or absence of the transgene.

Genetic hemi-complementation experiments have shown that this phenotypic

plasticity derives from changes in chloroplast state, and the results suggest that

suppression of MSH1, which occurs under several forms of abiotic stress,

triggers a plastidial response process that involves non-genetic inheritance.

Interestingly, the MSH1-dr phenotype is maintained by self-pollination, allowing

the maintenance of inbred lines that breed true with complete penetrance of the

phenotype, while upon genetic segregation of the transgene, enhanced growth

Page 36: Organellar Signaling Expands Plant Phenotypic Variation

35

was detected in the progeny of direct and reciprocal crosses between MSH1-dr

plants and the wild type cultivar TX430.

Introduction

Phenotypic plasticity is an inherent characteristic of land plants that allows them

to adapt to environmental changes. This ability is thought to include non-genetic,

trans-generational processes (Bonduriansky and Day, 2009) that could integrate

epigenetic and cytoplasmic elements (Danchin et al. 2011; Johannes et al.

2008). While the influence of maternal effects has been demonstrated in these

plant responses (Galloway, 2005), little is known about the role of organelles in

plant and environment interactions.

The MutS HOMOLOG1 (MSH1) gene is unique to plants, and encodes a

homolog to the bacterial mismatch repair protein MutS (Abdelnoor et al. 2003).

The product is dual-targeting, localized to both mitochondrial and chloroplast

nucleoids (Xu et al. 2011) and the gene disruption is associated with enhanced

recombination at 47 pairs of repeated sequences in the mitochondrial genome of

Arabidopsis (Shedge et al. 2007; Arrieta-Montiel et al. 2009; Davila et al. 2011).

This mitochondrial recombination gives rise to cytoplasmic male sterility in

tomato (Solanum lycopersicum) and tobacco (Nicotiana tabacum) (Sandhu et al.

2007). In contrast, within the chloroplast, disruption of MSH1 results in low

frequency DNA rearrangements mediated by recombination, together with

altered redox properties of the cell and variegation of the plant (Xu et al. 2011).

In both cytoplasmic male sterility and variegation, the altered phenotype displays

Page 37: Organellar Signaling Expands Plant Phenotypic Variation

36

incomplete penetrance and appears to derive from organellar genomic

rearrangements that undergo subsequent maternal inheritance.

Comparative studies were carried out to investigate the phenotypic

changes that occur in response to MSH1 suppression in sorghum, but do not

appear to be derived from organellar genome instability. These studies produced

evidence of developmental reprogramming in response to chloroplast signals that

accompany MSH1 suppression. Outstandingly, these developmental changes,

once effected, are stable, heritable and independent of the RNAi transgene in

subsequent generations, suggesting that these organellar signals influence the

plant epigenetic status.

Methods

Plant materials and growth conditions

The sorghum germplasm used in these experiments was generated by Feng

(2008). Briefly, Agrobacterium mediated transformation of the commercial

sorghum inbred line Tx430 (Miller, 1984) was conducted with an RNAi construct

to down-regulate the MSH1 gene. The construct was designed to target unique

sequences within the Domain VI endonuclease region. Two dwarfed, high

tillering, delayed flowering plants from the T2 generation were selected, among

others, based on their induced flowering in response to gibberellic acid (GA)

treatment (Feng, 2008); these plants were designated GAI and GAII, and their

self-pollinated seed was used to derive subsequent generations by selfing. In

Page 38: Organellar Signaling Expands Plant Phenotypic Variation

37

addition, plants of GAI and GAII progeny were used as parents in direct and

reciprocal crosses to Tx430, the wild type parental cultivar.

Two factorial experiments were designed, at seedling and transition to

reproductive stage, to test response to exogenous GA application in the T3

progeny of GAI and GAII, applying 1250 ppm and 2500 ppm GA. At seedling

stage, a 2x2 design was established with four treatments: 1) GAI + 1250 ppm

GA, 2) GAI+ 2500 ppm GA, 3) GAII+ 1250 ppm GA, and 4) GAII+2500 ppm GA.

Each treatment involved five plants grown under greenhouse conditions, at 26°C

to 28°C day and 21°C to 23°C night temperatures. The plant material was 3

weeks old at treatment, and the two traits evaluated were plant height (PH),

measured as length (cm) from the bottom to the tip of the last and second to last

leaves, and tiller number. Plant height was measured at 42 days after planting,

while number of tillers was recorded at 55 days after planting. Analyses of

variance were conducted to test for significant interaction, or simple effects of the

factors evaluated, using the PROC GLIMMIX procedure (SAS 9.2).

The second experiment consisted of a 2x3 factorial design, with sorghum

progenies and GA dosage as factors. Thus, GAI and GAII progenies were

combined with 0 ppm GA (No GA), 1250 ppm GA, and 2500 ppm GA, and six

treatments were established: 1) GAI + No GA, 2) GAI + 1250 ppm, 3) GAI + 2500

ppm GA, 4) GAII + No GA, 5) GAII + 1250 ppm GA, and GAII + 2500 ppm GA.

Each treatment was applied twice to five plants, at 65 and 80 days after planting,

when the wild type typically starts the reproductive phase; i.e. the dwarf-high

tillering-delay flowering plants were assumed to have reached the reproductive

Page 39: Organellar Signaling Expands Plant Phenotypic Variation

38

phase, but no flowering was detected. The phenotypic traits measured were:

days to flowering (DFL) after GA application, plant height (PH) (cm), from the

bottom of the plant to the top of the panicle or to the growing point, panicle length

(PL) (cm), and number of tillers (NT) at 30 days after pruning the harvested

plants. Analysis of variance were conducted to test for interaction between the

factors evaluated and, when appropriate, mean comparison tests were carried

out on each trait by the PROC GLIMMIX procedure (SAS 9.2). Both progenies,

GAI and GAII, were PCR screened for presence of the MSH1–RNAi transgene

with primers listed in Table 2.17.These experiments were carried out as a

collaboration with Xuehui Feng.

A non-selected T3 sorghum RNAi-derived population consisting of eleven

progenies was also characterized based on phenotypic traits that included plant

height (PH), leaf variegation (LV), male sterility (MS), and dwarfed-high tillering-

delayed flowering phenotypes in comparison to wildtype. Male sterile plants were

selected from this population to assess male fertility restoration or male sterility

maintenance, by crossing the T3 male sterile plants, transgenic or null, and

pollinated by wildtype or transgenic fertile plants. The following treatment

combinations were then tested: 1) transgene null x WT, 2) transgenic x WT, 3)

transgene null x transgenic, and 4) transgenic x transgenic.

Comparative analyses regarding different phenotypic traits and metabolic

pathways incorporated Arabidopsis msh1 mutants and/or RNAi transgenically

derived lines (Xu et al. 2011; Xu et al. 2012). Arabidopsis Col-0 and msh1 (chm1-

1) mutant lines were obtained from the Arabidopsis stock center and grown in

Page 40: Organellar Signaling Expands Plant Phenotypic Variation

39

metro mix at 24°C. Development of RNAi suppression lines of tomato and

tobacco (Sandhu et al. 2007), millet and sorghum (Xu et al. 2011), and

Arabidopsis hemi-complementation lines (Xu et al. 2011) is described elsewhere.

Arabidopsis flowering time was measured as date of first visible flower bud

appearance. At this time, total rosette leaf number was also determined as

flowering rosette leaf number.

For studies of metabolism and transcript levels, Arabidopsis plant staging

was carried out based on leaf number, and plants of same age were used for all

experiments. The msh1 mutants are considerably smaller than wild type at the

same age, determined as days after germination. Plant sampling stage was just

before bolting. For sorghum analysis, plants were taken at the 5 to 6-leaf stage.

All plants were grown under controlled growth room conditions. The transcript

and metabolic profiling experiments were conducted and analyzed by Dr. Ying-

Zhi Xu in collaboration with Metabolon.

Microscopy

Samples for stomatal density were prepared from the adaxial and abaxial

surfaces of the middle section of mature sorghum leaves. Samples were

observed under a Nikon Eclipse E800 light microscope (20X), with image area

captured at 0.307 mm2. Stomata number was estimated with ImageJ software

(NIH), and analyzed with the PROC GLIMMIX procedure (SAS 9.2). These

experiments were carried out as collaboration with Dr. Christian Elowsky.

Page 41: Organellar Signaling Expands Plant Phenotypic Variation

40

RNA Isolation and Real-Time PCR Analysis

Transcript isolation and Real-Time PCR analysis was conducted for Arabidopsis

and sorghum (Xu et al. 2012). Total Arabidopsis and sorghum RNA was

extracted from above-ground tissues of wild-type and mutant or RNAi plants

using TRIzol (Invitrogen) extraction procedure followed by purification on RNeasy

columns (Qiagen).cDNA was synthesized with SuperScriptIII first-strand

synthesis SuperMix for qRT-PCR (Invitrogen). Quantitative PCR was performed

on the iCycler iQ system (Biorad) with SYBR GreenER Supermix (Invitrogen).

PCR primers are listed in Table 2.17. For sorghum assays, primers were

designed to the 3’ region of MSH1. The transcript level of each gene was

normalized to UBIQUITIN10.

RT-PCR analysis also involved multiple plant stages, ranging from 2 week

old to flowering stage, to confirm results observed by global transcriptome

analysis. These experiments were carried out by Dr. Y-Z.Xu.

Small RNA analysis

RNA isolation and miRNA hybridization was performed as described by others

(Park et al. 2002). Total RNA was exacted with TRIzol, and small-sized RNA was

enriched by treatment with 5% PRG8000 in 0.5M NaCl, then precipitated with

ethanol and glycogen. RNA was resolved in 16% denaturing acrylamide gel and

small RNA was detected by 32P-end-labeled specific LNA/DNA probes. These

experiments were carried out by Drs. B. Yu, G. Ren and Y.-Z. Xu.

Page 42: Organellar Signaling Expands Plant Phenotypic Variation

41

Genomic DNA methylation assay

Genomic DNA (~500 ng) was used for bisulfite treatment using the EpiTect

Bisulfite kit (Qiagen) (Xu et al. 2012). Each sample was bisulfite treated twice

and subjected to a first round of PCR amplification with primers 3-2R and 3-2L

(Table 2.17). The PCR product was re-amplified with nested primers 3-2R and 3-

2L. The conditions used were 46°C for 30 cycles and Accuprime-Taq DNA

polymerase kit (Invitrogen). The amplified products of 250 bp were eluted,

sequenced and aligned against untreated genomic DNA sequence with T-

COFFEE. At least two independent bisulfite treatments and two independent

PCR products per bisulfite treatment were prepared for each sample (four runs

total per line), followed by sequence analysis. These experiments were carried

out by Dr. F. Razvi.

Metabolite Analysis

Metabolic profiling analysis of all samples was carried out in collaboration with

Metabolon according to methods described previously (Oliver et al. 2011). The

global unbiased metabolic profiling platform involved a combination of three

independent platforms: UHLC/MS/MS optimized for basic species,

UHLC/MS/MS2 optimized for acidic species, and GC/MS. Samples in six

replicates were extracted, analyzed with the three instruments, and their ion

features were matched against a chemical library for identification. For sample

extraction, 20 mg of each leaf sample was thawed on ice and extracted using an

automated MicroLab STAR system (Hamilton Company) in 400 µL of methanol

Page 43: Organellar Signaling Expands Plant Phenotypic Variation

42

containing recovery standards. UPLC/MS was performed using a Waters Acquity

UHPLC (Waters Corporation) coupled to an LTQ mass spectrometer (Thermo

Fisher Scientific Inc.) equipped with an electrospray ionization source. Two

separate UHPLC/MS injections were performed on each sample: one optimized

for positive ions and one for negative ions. Derivatized samples for GC/MS were

analyzed on a Thermo-Finnigan Trace DSQ fast-scanning single-quadrupole MS

operated at unit mass resolving power. Chromatographic separation, followed by

full-scan mass spectra, was performed to record retention time, molecular weight

(m/z), and MS/MS of all detectable ions present in the samples. Metabolites were

identified by automated comparison of the ion features in the experimental

samples to a reference library of chemical standard entries that included

retention time, molecular weight (m/z), preferred adducts, and in-source

fragments, as well as their associated MS/MS spectra. This analysis was

conducted by Metabolon (North Carolina).

For hormone metabolic profiling, four-week old Arabidopsis and 2-week

old sorghum seedlings were collected, frozen and lyophilized. Profiling was

conducted at the National Research Council Plant Biotechnology Institute in

Saskatoon, Saskatchewan, Canada, according to Chiwocha et al. (2005).

Page 44: Organellar Signaling Expands Plant Phenotypic Variation

43

Results

MSH1 suppression induces similar phenotypic changes in sorghum as in

other plant species.

The properties of MSH1 have been studied by an RNAi suppression approach in

dicot and monocot plant species, in which similar phenotypic changes have been

documented. Dicots tested include Arabidopsis, tobacco, tomato, and soybean,

while millet and sorghum were used as monocot model plants. Novel phenotypes

included male sterility, leaf variegation, dwarfism, reduced internode length,

delayed or non- flowering, and modified branching (Sandhu et al. 2007; Feng,

2008; Shedge et al. 2010); in Arabidopsis, additional changes that were

documented included heat tolerance (Shedge et al. 2010), and secondary growth

and extended juvenility in short day conditions (Xu et al. 2011). In sorghum,

MSH1 suppression produced novel and consistent changes in plant tillering,

height, internode elongation, stomatal density, and altered gibberellic acid

catabolism in dwarf phenotypes. These changes in development, strikingly

consistent across species, were termed developmental reprogramming (MSH1-

dr), due to their cross-species reproducibility and influence on numerous aspects

of plant development.

Phenotypic variants induced in sorghum by MSH1 RNAi suppression are

heritable. Characterization of the non -selected T3 sorghum population allowed

discrimination of independent and separable developmental changes that include

leaf variegation, male sterility, and the MSH1-dr phenotype (Table 2.1, and Table

Page 45: Organellar Signaling Expands Plant Phenotypic Variation

44

2.2) that appeared at a frequency of 0-26% in the T3 population (Table 2.2).

However, this phenotype, observed in the GAI and GAII individuals selected in

the T2 generation, was consistently co-inherited with enhanced tillering and

flowering delay in derived sorghum lines; i.e. individuals displaying the MSH1-dr

phenotype gave rise to progeny populations fully penetrant for the phenotype

upon genetic segregation of the RNAi transgene (Table 2.3). Mean comparison

between these progenies and wildtype showed significant differences in plant

height, panicle length, flowering rate, and fertility (Table 2.4), as well as in

stomatal density (Table 2.5).These observations permitted the development of

sorghum lines, null for the RNAi transgene, that bred true for the MSH1-dr

phenotype over multiple cycles of self-pollination, with seven generations

confirmed to date (Table 2.3).

The non-selected T3 generation also displayed significant range in plant

height variation (p<0.001), including outstandingly taller plants than wild type; the

maximum individual values observed in the transgenic population was 201 cm,

with the highest interval of 122 cm, compared to the maximum value observed in

wildtype of 150 cm and 44 cm as the interval (Table 2.1; Figure 2.1).

Gibberellic acid partially restores the altered phenotype, with significant

interaction between GA dosage and the RNAi transgene. PCR screening

indicated that GAI was an MSH1-RNAi transgenic line, while GAII derived plants

were null for the transgene (Figure 2.7). Exogenous application of GA at seedling

stage exerted significant interactive effects between GA dosage and the

presence or absence of the transgene for plant height (p<0.001) on the last leaf

Page 46: Organellar Signaling Expands Plant Phenotypic Variation

45

at 42 days after planting (Figure 2.2A). The strongest effect for plant height was

observed in the combination of the null GAII progeny and 1250 ppm, with a mean

value of 54 cm, whereas, at this concentration, transgenic GAI progeny showed

the lowest response mean value of 38 cm. The response of both progenies at

2500 ppm showed no significant differences for plant height in sorghum

seedlings.

Data from the second to last leaf showed no significant interaction

between GA concentrations and progenies (p>0.70), and non-transgenic GAII

progeny showed the highest response to both plant hormone concentrations with

significant effects (p<0.001) (Figure 2.2B and Table 2.6).The highest mean value

observed, 69 cm, for the second to last leaf measurements in sorghum seedlings

occurred in the combination of GAII progeny and 2500 ppm of gibberellic acid

(Table 2.6).There were no significant differences in number of tillers in the

treatments evaluated at 55 days after planting (p=0.49) (Table 2.6 ).

When MSH1-dr sorghum progenies were tested for the response to GA at

maturity, there were significant interactive effects between GA concentration and

progenies for days to flowering after GA application (p<0.0001), plant height

(p<0.01) and panicle length (p<0.0008); after harvesting, the plant material was

pruned and allowed to re-growth when number of tillers were tested, with no

significant differences (p= 0.9) detected.

The highest response for flowering was observed in GAII progeny treated

with 2500 ppm GA, with a mean value of 50 days after GA application, followed

Page 47: Organellar Signaling Expands Plant Phenotypic Variation

46

by GAII+1250 ppm that flowered at 65 days after GA application; these

differences were significant (p<0.0001), and no other treatment combinations

flowered (Table 2.7).

The highest response in PH and PL was also observed in the non-

transgenic GAII progeny at either concentration of GA; however, 2500 ppm

induced a significantly stronger effect than 1250 ppm (Table 2.7). In fact, the

absence of the RNAi transgene allowed plant height to be partially restored to the

wildtype phenotype as a response to exogenous GA (Figure 2.3), implying that

the loss of MSH1 functions impacts GA metabolism in the plant.

The MSH1-dr phenotype in transgene-null lines displays enhanced

growth following crosses with wildtype

Direct and reciprocal crossing of the dwarfed sorghum lines, lacking the

transgene, to wildtype (inbred Tx430) resulted not only in complete reversal of

the dwarfed and delayed flowering phenotype in the F1 progeny, but in evidence

of enhanced growth that surpassed the wild type mean value (Figure 2.4, Table

2.8 and Table 2.9). In contrast, the F1 progeny from crosses between non-

dwarfed, male-sterile plants, transgenic or null, with wildtype did not show

differences for enhanced growth (p=0.4) (Table 2.10, Table 2.11), implying that

the MSH1-dr phenotype is a component of this process. Similar lack of enhanced

growth was seen when crosses involved dwarfed transgenic plants to wildtype; in

fact, one such F1 progeny ranked below the mean value of the wildtype line (p<

0.001) (Table 2.12). Thus, MSH1 modulation appears to condition

Page 48: Organellar Signaling Expands Plant Phenotypic Variation

47

developmental changes within the plant that are heritable through self-pollination

but reversed through crossing to wildtype, when the transgene is no longer

present.

The reciprocal crossing results, showing reversal of phenotypes in either

direction, imply that these heritable changes are not organellar. Moreover,

although genetic segregation of the RNAi transgene did not reverse the altered

dwarf phenotype in sorghum, non-transgenic segregants displayed slight

changes in flowering rate and fertility, suggesting that presence of the transgene

intensifies the phenotype (Table 2.4). Transgenic plants were non flowering and

showed reduced response to the GA treatment relative to transgene null lines,

which were delayed in flowering but did not require exogenous GA application

(Table 2.4).

In non-transgenic plants, MSH1 transcript levels and MSH1 DNA

methylation pattern reverted back to wildtype (Figure 2.5 and Figure 2.6). These

results imply that heritability and transgenerational stability of the altered

phenotypes were not likely a consequence of RNAi-induced stable silencing of

the MSH1 locus.

Fertility restoration occurs with wildtype pollen or in CMS MSH1-RNAi lines

following segregation of the transgene

Male sterility in sorghum was characterized by lack of pollen in shrunken

anthers, and confirmed in 17 out of 118 (14.4 %) T3 plants, whose heads were

Page 49: Organellar Signaling Expands Plant Phenotypic Variation

48

bagged before anthesis and no seed set was observed afterwards. PCR

screening indicated that six of these male sterile plants were MSH1 minus and

11 plants held the transgene. Then, crosses were conducted using as a source

of pollen wildtype or transgenic plants. The crosses conducted were: five MSH1

(-) x wildtype, six MSH1 (+) x wildtype, nine MSH1 (+) x wildtype, and nine MSH1

(+) x MSH1 (+). The progeny of each type of cross were grown in a variable

number, from 26 to 42, and tested for fertility restoration, or male sterility

maintenance. The analysis of variance indicated significant differences (p<

0.0001) in the fertility rate among the type of crosses, being the F1 progeny of

transgenic x transgenic [MSH1 (+) x MSH1 (+)] which displayed the lowest

fertility value (64%) (Table 2.13). In contrast, the progeny of MSH1 (-) x wildtype,

MSH1 (+) x wildtype, and MSH1 (-) x MSH1 (+) scored 100, 93 and 92% of

fertility rate, with no significant differences among them (Table 2.13). This means

that male sterility showed maternal inheritance, with incomplete penetrance (36%

of the progeny), when the transgene was present in both parents; this maternal

transmission has been also observed in MSH1-RNAi derived lines of tobacco

(Martinez-Zapater et al. 1992; Abdelnoor et al. 2003; Sandhu et al. 2007). In

contrast, fertility is fully restored when an MSH1 female lacking the transgene is

fertilized by wildtype pollen.

Different metabolic pathways are altered by MSH1 suppression

The modified phenotypes showed changes in the expression of different nuclear

genes (Table 2.14) (Xu et al. 2012). These changes, detected by transcript

profiling and RT-PCR, involve pathways associated with dwarfism and include

Page 50: Organellar Signaling Expands Plant Phenotypic Variation

49

cell cycle regulation and increased GA catabolism (Figure 2.5A, Table 2.14,

Table 2.15), while changes in leaf morphology and branching are likely

consequences of modifications in auxin production and receptor expression

(Willige et al. 2011). Additional effects on flowering and conversion to a

perennial growth pattern were associated with changes in expression of flowering

and vernalization regulators (Fornara et al. 2010); these include increased FLC

and decreased SOC1 expression, and increased miR156 and decreased miR172

levels as well.

Several stress response pathways were similarly altered in expression

with the disruption of MSH1. Both transcript and metabolic profiling experiments

revealed organelle-influenced metabolic changes underlying the variability in

plant growth characteristic of plant response to stress conditions (Tables 2.14

and 2.16) (Xu et al. 2012). Metabolic changes in the sorghum dwarf plants were

concentrated within TCA flux. Increased energy metabolism in the dwarf line

reflected the up-regulation of most compounds of the TCA, NAD and

carbohydrate metabolic pathways, and down-regulation of amino acid

biosynthesis, reflecting altered carbon/nitrogen balance in these plants. In

Arabidopsis, this alteration was most evident in the depletion of sucrose to

undetectable levels. Metabolic priming for environmental stress in sorghum may

be evident in the 1.2 to 5.7-fold elevation of sugar and sugar-alcohol levels, an

effect that stabilizes osmotic pressure in response to stresses like drought

(Ingram and Bartels 1996). Anti-oxidants ascorbate and alpha-tocopherols were

increased, together with the stress-responsive flavones apigenin, apigenin-7-o-

Page 51: Organellar Signaling Expands Plant Phenotypic Variation

50

glucoside, isovitexin, kaempferol 3-O-beta-glucoside, luteolin-7-O-glucoside and

vitexin. In Arabidopsis, the response included an increase in oxidized

glutathione, as well as sinapate, likely signaling induction of the phenypropanoid

pathway, together with the polyamines 1, 3-diaminopropane, putrescine and

spermidine, which likely influence both stress tolerance and the observed delay

in maturity transition (Gill and Tuteja, 2010).

Chloroplast changes are responsible for the MSH1-dr phenotype. Even

though different nuclear gene networks are modified, MSH1 localizes in the

organelles (Xu et al. 2011). Therefore, genetic hemi-complementation allowed

the discrimination between mitochondrial and plastidial influences on msh1-

associated phenotypes. Hemi-complementation lines were developed in

Arabidopsis by transgenic introduction of a mitochondrial versus plastid-targeted

form of MSH1 to an msh1 mutant (Xu et al. 2011).

Transgenic lines containing the plastid-targeted form of MSH1 undergo

mitochondrial DNA recombination (Xu et al. 2011), but show no evidence of

reduced growth rate, delayed flowering or altered leaf morphology. Lines

containing the mitochondrial-targeted form of MSH1 contain a stable

mitochondrial genome and produce leaf variegation, but also display dwarfing,

changes in leaf morphology and flowering time, and delayed transition to maturity

and senescence (Xu et al. 2011). These observations, supporting plastidial

influence on phenotype, were supported by metabolic profiles from the hemi-

complementation lines. Metabolic profiling of the mitochondrial- versus plastid-

complemented lines showed very little metabolic difference between wildtype and

Page 52: Organellar Signaling Expands Plant Phenotypic Variation

51

the chloroplast-complemented lines, but produced an array of metabolic changes

conditioned by MSH1-deficient chloroplasts in the mitochondrial-complemented

lines (Xu et al. 2012).

Advanced-generation msh1 mutants in Arabidopsis show evidence of

mitochondrial DNA changes (Davila et al. 2011), whereas chloroplast DNA

rearrangements are extremely low in frequency and restricted to the variegated

sectors (Xu et al. 2011). Analysis of mitochondrial and chloroplast DNA in

transgene-minus sorghum lines by similar Illumina deep sequence-based

analysis to that used in Arabidopsis has revealed no evidence of DNA changes

to date (Xu et al. 2011). No previously reported chloroplast genome mutation has

been shown to produce plant developmental changes similar to those reported

here. These considerations, together with the demonstrated reversal of

phenotype in sorghum lines crossed to wildtype, provide little or no support for

organellar DNA rearrangement underlying the altered growth phenotypes.

Consequently, it is posited that the observed gene expression changes observed

in the sorghum and Arabidopsis dwarfed, delayed flowering lines are a

consequence of changes in organellar signal following MSH1 suppression,

instead of stable organelle genome rearrangement.

Discussion

The results presented, suggesting chloroplast influence on multiple growth traits,

are not entirely surprising, since GA biosynthesis, light response and

Page 53: Organellar Signaling Expands Plant Phenotypic Variation

52

vernalization pathways involve chloroplast processes (Bouvier et al. 2009).

Mutation of the CND41 gene in tobacco, encoding a chloroplast nucleoid protein

with protease activity, can result in reduction of GA1 levels and a dwarf

phenotype (Nakano et al. 2003). Disruption of HSP90 genes, some of which

encode organellar products, has been associated with dramatic changes in plant

development, including altered chloroplast development (Sangster and Queitsch,

2005). However, HSP90-associated phenotypic changes do not appear to

resemble the processes described here, and HSP90 expression is unchanged in

the msh1 mutant.

What is surprising in MSH1 depletion is not simply the array of phenotypes

that emerge, but the programmed and heritable manner in which these

intersecting nuclear gene networks respond to organelle perturbation. Numerous

genetic mutations are shown to alter chloroplast functions, many producing

variegation phenotypes (Sakamoto, 2003; Yu et al. 2007). Yet, no association

has been reported of these mutations with similar developmental reprogramming,

implying that a specificity of function rather than general organellar perturbation

conditions the msh1 changes.

The hemi-complementation assay reported by Xu et al. (2011) allowed not

only to discriminate between mitochondrial and plastid contribution to the derived

phenotype, but also to assess whether MSH1 might also function within the

nucleus. No nuclear localization is evident in MSH1-GFP reporter transgene

experiments with laser scanning confocal microscopy (Xu et al. 2011). Still, the

trans-generational heritability of observed phenotypic changes implies epigenetic

Page 54: Organellar Signaling Expands Plant Phenotypic Variation

53

influences on nuclear gene expression. The ability to fully complement the

altered growth phenotype with a plastid-targeted MSH1 transgene (Xu et al.

2011), but not with mitochondrial-targeted, argues against nuclear localization of

MSH1. Rather, these data suggest that changes in plastid state effect the

phenotypic changes that are subsequently heritable, implying that these plastid

changes condition an epigenetic effect.

Components of transgenerational phenotypic plasticity in plants are

maternal (Donohue, 2009; Galloway and Etterson, 2007), and several of these

appear to be adaptive under particular environments. However, there has been

little or no direct evidence of organellar changes underlying these processes.

Suppression of MSH1 expression produces cytoplasmic male sterility and

variegation through direct DNA rearrangement of the chloroplast and

mitochondrial genomes, but the additional phenotypic plasticity described in this

study appears to derive from plastidial signaling. Heritable and cross-species

reproducibility of the phenotypic changes, co-opting well-defined, nuclear-

controlled developmental pathways, and the complete reversal of phenotype with

pollination by wildtype plants, insinuate epigenetic processes. Epigenomic

changes appear to underlie at least some of the environmentally responsive

phenotypic plasticity observed in natural systems (Bonduriansky and Day, 2009).

In fact, MSH1 transcript levels show environmental responsiveness, with

dramatically reduced levels under conditions of stress (Shedge et al. 2010; Xu et

al. 2011; Hruz et al. 2008). Moreover, disruption of MSH1 produces altered

redox state of the plastid (Xu et al. 2011), implying one means of retrograde

Page 55: Organellar Signaling Expands Plant Phenotypic Variation

54

signaling change in the cell. This suggests that MSH1 modulation operates in

plants, under natural conditions, to link mechanisms for environmental sensing

with genomic response by triggering organellar mediators of the process.

Co-inheritance of variation in flowering time, plant growth rate, branching

patterns, stomatal density changes and maturity transition in sorghum and

Arabidopsis was observed. Phenotypic variation for these quantitative traits has

been the subject of ecological association mapping studies to understand

genotype by environment interactions and plant adaptation in natural

environments (Bergelson and Roux, 2010). These results suggest that

epigenetic processes may support a coordinate modulation of all of these traits in

response to environmental cues, while the enhanced growth response, in either

direction of the crosses between MSH1-dr phenotypes and wildtype, suggests an

important potential for plant breeding.

Page 56: Organellar Signaling Expands Plant Phenotypic Variation

55

References

Abdelnoor RV, Yule R, Elo A, Christensen AC, Meyer-Gauen G, Mackenzie SA. (2003). Substoichiometric shifting in the plant mitochondrial genome is influenced by a gene homologous to MutS. Proc. Natl Acad. Sci. USA100:5968-5973.

Abdelnoor RV, Christensen AC, Mohammed S, Munoz-Castillo B, Moriyama H, Mackenzie SA. (2006). Mitochondrial genome dynamics in plants and animals: Convergent gene fusions of a MutS homolog. J. Molec. Evol.63:165-73.

Arrieta-Montiel MP, Shedge V, Davila J, Christensen AC, Mackenzie SA. (2009). Diversity of the Arabidopsis mitochondrial genome occurs via nuclear-controlled recombination activity. Genetics 183:1261-8.

Bergelson J, Roux F. (2010). Towards identifying genes underlying ecologically relevant traits in Arabidopsis thaliana. Nature Rev Genet 11: 867-879.

Bonduriansky R, Day T. (2009). Nongenetic inheritance and its evolutionary implications. Annu Rev Ecol Evol Syst 40:103-125.

Bouvier F, Mialoundama AS, Camara B. (2009). A sentinel role for plastids.The Chloroplast-interactions with the environment. Sandelius A. S. and Aronsson H., (Eds) Springer-Verlag, Berlin: 267-292.

Chiwocha SD, Cutler AJ, Abrams SR, Ambrose SJ, Yang J, Ross AR, Kermode AR. (2005). The etr1-2 mutation in Arabidopsis thaliana affects the abscisic acid, auxin, cytokinin and gibberellin metabolic pathways during maintenance of seed dormancy, moist-chilling and germination. Plant J. 42:35-48.

Danchin É, Charmantier A, Champagne FA, Mesoudi A, Pujol B, Blanchet S. (2011). Beyond DNA: integrating inclusive inheritance into an extended theory of evolution. Nat Rev Genet 12: 475-486.

Davila JI, Arrieta-Montiel MP, Wamboldt Y, Cao J, Hagmann J, Shedge V, Xu Y-Z, Weigel D, Mackenzie SA. (2011). Double-strand break repair processes drive evolution of the mitochondrial genome in Arabidopsis. BMC Biology9:64.

Donohue K. (2009). Completing the cycle: maternal effects as the missing link in plant life histories. Phil Trans R Soc B 364:1059-1074.

Feng X. (2008). The molecular basis of mitochondrial genome rearrangements in pearl millet and sorghum. PhD Dissertation, University of Nebraska, 94 pp.

Page 57: Organellar Signaling Expands Plant Phenotypic Variation

56

Fornara F, de Montaigu A, Coupland, G. (2010). SnapShot: Control of flowering in Arabidopsis. Cell 141: 550.

Galloway L. (2005). Maternal effects provide phenotypic adaptation to local environmental conditions. New Phytol166: 93-100.

Galloway LF, Etterson JR. (2007).Transgenerational plasticity is adaptive in the wild.  Science. 318:1134-1136.

Gill SS, Tuteja N. (2010).Polyamines and abiotic stress tolerance in plants. Plant Signal Behav 5: 26-33.

Ingram J, Bartels D. (1996). The molecular basis of dehydration tolerance in plants. Annu Rev Plant Physiol Plant Molec Biol 47: 377-403.

Johannes F, Colot V, Jansen RC. (2008). Epigenome dynamics: a quantitative genetics perspective. Nat. Rev Genet 9:883-890.

Martínez-Zapater JM, Gil P, Capel J, Somerville CR. (1992). Mutations at the Arabidopsis CHM locus promote rearrangements of the mitochondrial genome. Plant Cell 4(8): 889-99.

Miller FR. (1984). Registration of RTx430 sorghum parental line. Crop Sci. 24: 1224.

Nakano, T, Nagata N, Kimuro T, Sekimoto M, Kawaide H, Murakami S, Kaneko Y, Matsuchima H, Kamiya Y, Sato F, Yoshida S. (2003). CND41, a chloroplast nucleoid protein that regulates plastid development, causes reduced gibberellin content and dwarfism in tobacco. Physiol. Plant. 117:130–136.

Oliver MJ, Guo L, Alexander DC, Ryals JA, Wone BW, Cushman JC. (2011). A sister group contrast using untargeted global metabolomics analysis delineates the biochemical regulation underlying desiccation tolerance in Sporobolus stapfianus. Plant Cell 23: 1231-1248.

Park W, Li J, Song R, Messing J, Chen X. (2002). CARPEL FACTORY, a Dicer homolog, and HEN1, a novel protein, act in microRNA metabolism in Arabidopsis thaliana. Curr. Biol.12:1484–1495.

Sakamoto W. (2003). Leaf-variegated mutants and their responsible genes in Arabidopsis thaliana. Genes Genet Syst. 78: 1-9.

Sandhu AS, Abdelnoor RV, Mackenzie SA. (2007). Transgenic induction of mitochondrial rearrangements for cytoplasmic male sterility in crop plants. Proc Natl Acad Sci USA 104:1766-1770.

Sangster TA, Queitsch C. (2005). The HSP90 chaperone complex, an emerging force in plant development and phenotypic plasticity. Curr Opin Plant Biol 8:86-92.

Page 58: Organellar Signaling Expands Plant Phenotypic Variation

57

Shedge V, Arrieta-Montiel M, Christensen AC, Mackenzie SA. (2007). Plant mitochondrial recombination surveillance requires novel RecA and MutS homologs. Plant Cell 19:1251-1264.

Shedge V, Davila J, Arrieta-Montiel MP, Mohammed S, Mackenzie SA. (2010). Extensive rearrangement of the Arabidopsis mitochondrial genome elicits cellular conditions for thermotolerance. Plant Physiol. 152:1960–1970.

Storey JD, Tibshirani R. (2003). Statistical significance for genomewide studies. Proc. Natl. Acad. Sci. USA 100:9440-9445.

Willige BC, Isono E, Richter R, Zourelidou M, Schwechheimer C. (2011). Gibberellin regulates PIN-FORMED abundance and is required for auxin transport–dependent growth and development in Arabidopsis thaliana. Plant Cell 23: 2184–2195.

Xu Y-Z, Arrieta-Montiel MP, Virdi KS, de Paula WB, Widhalm JR, Basset GJ, Davila JI, Elthon TE, Elowsky CG, Sato SJ, Clemente TE, Mackenzie SA. (2011). MSH1 is a nucleoid protein that alters mitochondrial and plastid properties and plant response to high light. Plant Cell 23:3428-41.

Xu Y-Z, de la Rosa Santamaria R, Virdi KS, Arrieta-Montiel MP, Razvi F, Li S, Ren G, Yu B, Alexander D, Guo L, Feng X, Dweikat IM, Clemente TE, Mackenzie SA. (2012). The chloroplast triggers developmental reprogramming when MUTS HOMOLOG1 is suppressed in plants. Plant Physiol 159:710-720.

Yu F, Fu A, Aluru M, Park S, Xu Y, Liu H, Liu X, Foudree A, Nambogga M, Rodermel S. (2007). Variegation mutants and mechanisms of chloroplast biogenesis. Plant Cell Environ 30:350-365.

Page 59: Organellar Signaling Expands Plant Phenotypic Variation

58

List of figures Chapter 2

Figure 2.1. Plant height distribution in a T3 MSH1 RNAi derived sorghum population and the wildtype cultivar (Tx430). The T3 generation had not been selected for the trait

indicated.

A B

 

Figure 2.2. Plant height response to gibberellic acid (GA) in seedling stage of MSH1-dr sorghum progenies, based on the last leaf (A) and second to last leaf (B). GAI is a segregant MSH1-RNAi population, while GAII lacks the transgene. Data were taken at 42 days after planting, and three weeks after GA application.

Page 60: Organellar Signaling Expands Plant Phenotypic Variation

59

 

Figure 2.3. Wildtype phenotype can be restored for plant height as a response to exogenous gibberellic acid in MSH1-dr sorghum plants lacking the RNAi transgene. The plant at the left is wildtype, at middle is MSH1-dr transgene null sprayed with GA, and at the right is untreated MSH1-dr transgene null.

 

Figure 2.4. Reversal of the MSH1-RNAi phenotype and enhanced growth by crossing in sorghum. The MSH1-dr altered phenotype is characterized by dwarfed growth, enhanced tillering, altered leaf morphology, delayed flowering, and reduced stomatal density. In either direction of the cross, direct (a), or reciprocal (b) the MSH1-dr phenotype no longer contains the RNAi transgene. Both parental lines shown were derived from Tx430.  

Page 61: Organellar Signaling Expands Plant Phenotypic Variation

60

 

Figure 2.5. Evidence of transcriptional and metabolic changes in Arabidopsis msh1 mutant and hemicomplementation lines. A, Results from quantitative RT-PCR analysis of the msh1 mutant showing transcript-level changes in several genes controlling growth (cyclin P4:1 and Expansin), GA3 (Gibberellin2 Oxidase6 and GA-STIMULATED ARABIDOPSIS6), and auxin levels (PIN1/PIN7 AUXIN EFFLUX CARRIERS, IAA7 AUXIN-RESPONSIVE PROTEIN, and CYTOCHROME P450 79B3) in the plant. B, Quantitative RT-PCR assay of transcript levels from the four flowering-related genes MIR156, FLC, SOC1), and SHORT VEGETATIVE PHASE (SVP) in Col-0 and msh1 plants. Data are shown as fold change relative to the wild type (Col-0) with means ± SE from three biological replicates. C, RNA gel blot assay of rosette leaf and flower tissues for the flowering-related microRNAs miR156 and miR172. U6 was used as a loading control. D, A heat map with a subset of metabolites assayed in the study, comparing relative accumulation patterns in msh1, the mitochondrial hemicomplementation line (AOX), and the plastid hemicomplementation line (RUBP). Data provided by Drs. Ying-Zhi Xu and Bin Yu.

Page 62: Organellar Signaling Expands Plant Phenotypic Variation

61

 

Figure 2.6. MSH1 methylation and gene expression. A, Sample bisulfate sequencing of the RNAi-targeted region of MSH1 in dwarf sorghum plants. Total genomic DNA from T4 dwarf plants with (7.8.1+) and without (22.1-) the MSH1-RNAi transgene, and from wild-type Tx430, was bisulfite treated, PCR amplified, and DNA sequenced. The sequence alignment shows results from wild-type Tx430 untreated DNA (Wtuntreated), wild-type Tx430 bisulfite-treated DNA (Wt), the dwarfed line minus transgene (22.1-) bisulfite-treated DNA, and the dwarfed line plus transgene (7.8.1+) bisulfite-treated DNA. Red boxes designate points at which cytosines were methylated in the presence of the RNAi transgene but reverted to nonmethylated when the transgene was lost. Gray boxes designate points where methylation was present in the wildtype and unaffected by the transgene. The sequence interval shown is that targeted by the RNAi transgene and contained within domain VI of MSH1. B, Quantitative RT-PCR analysis of MSH1 transcript levels in variant-phenotype sorghum plants with (+) and without (-) the MSH1-RNAi transgene relative to wild-type Tx430 (WT). Data from 1-week-old seedlings from three T4 lines containing the transgene (7.25.1+, 7.8.1+, 2.9.1+) and four T4 lines minus the transgene (28.1-, 25.1-, 22.1-, 11.1-) are shown relative to the wild-type inbred Tx430. The results are from three independent experiments. Some variation in transcript levels is evident, so that line 7.25.1+ shows elevated levels of MSH1 transcript relative to the other transgenic selections. This line is hemizygous for the transgene, whereas the other two lines are homozygous. The lines tested are T4 generation plants, where we have shown that the phenotype is stable with or without the transgene. As a consequence, it is assumed that this elevated level of MSH1 segregating within the T4 generation does not noticeably influence phenotype. Data provided by Dr. F. Razvi.  

Page 63: Organellar Signaling Expands Plant Phenotypic Variation

62

Figure 2.7. PCR products derived from T3 sorghum plants displaying the MSH1-dr phenotype. Primers used (Table 2.17) were designed to amplify a 750-bp segment of the RNAi transgene. Lane 10 shows results from wildtype Tx430.

 

Page 64: Organellar Signaling Expands Plant Phenotypic Variation

63

List of Tables Chapter 2

Table 2.1. Phenotypic traits of T3 MSH1-RNAi derived progenies and wildtype (TX430) of sorghum. All T3 families are from a single transformation event.

% Leaf Variegation

% Male Sterility

Plant

Height

Progeny N Mean (cm)

Std Error

Max Value

Min Value Range

1 29 0 28 101 3.2 155 64 91 2 10 28 20 97 8.3 125 50 75 3 17 35 29 99 6.4 136 45 91 4 8 75 13 118 3.3 136 110 26 5 4 25 25 115 6.7 129 97 32 6 14 21 25 116 3.0 129 95 34 7 34 26 29 97 5.3 134 50 84 8 6 33 33 143 19.7 201 79 122 9 18 17 28 150 7.3 199 90 109

10 25 0 4 154 5.6 200 78 122 11 18 33 0 92 5.5 129 50 79

TX430 118 0 0 132 0.8** 150 106 44 **: Variances are significant different compared to wildtype (p<0.001).

Table 2.2. Frequency of MSH1-dr sorghum plants arising in T3 families. Eleven individual T3 families, all containing the MSH1-RNAi transgene, were evaluated for presence of the MSH1-dr phenotype (dwarfed stature, enhanced tillering, delayed flowering). In these cases, the identified MSH1-dr plants did not flower without GA application. All T3 families are from a single transformation event.

Family No. Plants No. MSH1-dr T3-1 29 0 T3-2 10 2 (20%) T3-3 17 3 (18%) T3-4 8 0 T3-5 4 0 T3-6 14 0 T3-7 34 9 (26%) T3-8 6 0 T3-9 18 0

T3-10 25 0 T3-11 18 3 (17%)

Total 183 17 (9.3%)

 

 

 

Page 65: Organellar Signaling Expands Plant Phenotypic Variation

64

Table 2.3. Inheritance of the dwarf phenotype in T3, T4 and T5 generations following initial selection of the MSH1-dr (dwarf, high tillering, delayed flowering, non-transgenic) lines in T2. All plants showing the dwarf trait in each generation also showed enhanced tillering and delayed flowering, so plant height was used as the measure. Although only three generations are shown, stable heritability of the phenotype has been observed over six generations. Lack of the MSH1-RNAi transgene was confirmed in all populations by PCR (Figure 2.7).

Genotype N Plant height mean (cm)

Standard error

Tx430 30 111.8** 3.7 T3MSH1-dr 17 52.4 2.7 T4GAII3 18 43.7 4.3 T4GAII5 18 41.4 5.2 T4GAII6 18 40.5 4.9 T4GAII11 17 59.6 4.5 T4GAII15 19 45.1 5.6 T4GAII22 18 56.1 4.4 T4GAII23 15 55.1 4.6 T4GAII24 17 45.8 4.7 T4GAII25 15 44.0 4.6 T4GAII27 16 52.9 5.5 T4GAII28 18 56.5 4.1 T5GAII3 5 47.0 2.8 T5GAII5 5 43.6 2.3 T5GAII6 5 45.4 3.2 T5GAII11 5 40.8 3.0 T5GAII15 5 45.4 1.5 T5GAII22 5 52.2 5.0 T5GAII23 5 53.2 3.2 T5GAII24 5 53.4 3.2 T5GAII25 5 51.0 4.3 T5GAII27 5 46.8 4.4 T5GAII28 5 52.4 0.5

*All differences relative to TX430 are significant at P <0.001

Table 2.4. Mean comparison of different phenotypic traits between T4 MSH1-drŦ progenies and wildtype (WT) sorghum.

Ŧ: GAII-11 to GAII-28 are MSH1-dr sorghum lines whose nomenclature was maintained based on a preliminary gibberellic acid application screening. PH: Plant height (cm); PL: Panicle length (cm); DFAP: Days to flowering after planting; FR: Flowering rate x 100, based on the number of flowering plants per progeny; F: Fertility rate x 100 of flowering plants; ***, **. *: Significant compared to wild type, (p<0.0001), (p<.0001), and (p<.05), respectively.GAII-15 and GAII-24 showed significant male sterility compared to WT and other MSH1-dr lines.

Page 66: Organellar Signaling Expands Plant Phenotypic Variation

65

Table 2.5. Mean stomatal number per sample in sorghum non-transgenic MSH1-dr plants versus wildtype TX430. Counts were taken from adaxial and abaxial surfaces of each leaf. Stomatal numbers were significantly lower (P<0.0001) between Tx430 and the MSH1-dr plants for both adaxial and abaxial readings.  

  Adaxial Abaxial      

  Genotype N Mean StdDev N Mean StdDev      

  TX430 20 41** 6 20 54** 11      

  MSH1-dr 18 21 3 18 30 4      

**: Significant differences (p<0.001)

Table 2.6. Plant height (PH) response to gibberellic acid in MSH1-dr sorghum seedlings at 55 days after planting.

PH (cm) Last leaf PH (cm) Second Last leaf

No. of tillers

Progeny 1250 ppm GA

2500 ppm GA

1250 ppm GA 2500 ppm GA 1250 ppm GA

2500 ppm GA

GAI 38 46 52 59 4.8 4.6 GAII 40 48 58 69 5.2 3.8

PH: Plant height mean values as the average of 5 plants in each treatment. Data were taken five weeks after GA application.

Table 2.7. Mean comparison of different traits between MSH1-dr progenies of sorghum at different gibberellic acid concentrations.

DFL: Days to flowering after GA application; Plant height (cm); PL: Panicle length (cm); NT: Number of tillers, 30 days old at re-growth. Mean values followed by different letter within the same column are statistically different. NF †: No flowering detected during the period of the experiment; NA: Not apply. GAI is a segregant population for the MSH1 RNAi trangene, while GAII is MSH1-dr minus transgene.

Page 67: Organellar Signaling Expands Plant Phenotypic Variation

66

Table 2.8. Plant height of the F1 between sorghum MSH1-dr x Tx430, and parental lines.

Genotype N Mean (cm) SE ∆ (%) GAII11 x Tx430 7 172.4*** 2.1 77 GAII15 x Tx430 15 136.8*** 7.5 40 GAII22 x Tx430 5 122.2 NS 17.3 25 GAII24 x Tx430 19 113.3* 6.4 16 GAII25 x Tx430 12 121.4*** 6.7 24 GAII28 x Tx430 13 124.2** 9.8 27

GAII11 17 59.6*** 4.5 - GAII15 19 45.1*** 5.6 - GAII22 18 56.1*** 4.4 - GAII24 17 45.8*** 4.7 - GAII25 15 44.0*** 4.6 - GAII28 18 56.5*** 4.1 -

WT Tx430 16 97.6 2.3 - *,***: Significant differences compared to wildtype Tx430, p<0.05 and p<0.0001, respectively; NS: Non significant. The MSH1-dr phenotype was non transgenic. ∆ (%): Change in plant height compared to wildtypeTx430.

Table 2.9. Plant height in the F1 of reciprocal crosses (RC) of sorghum TX430 x MSH1-dr, and parental lines.

Genotype N Mean (cm) SE ∆ (%) RC1 Tx430 x GAII22 8 142.8*** 10.4 33 RC2 Tx430 x GAII23 8 123.1 NS 7.5 15 RC3 Tx430 x GAII44 6 172.2*** 3.9 60

GAII22 (P1) 4 50.8*** 12.5 - GAII23(P1) 5 40.0*** 6.3 - GAII44 (P1) 4 34.0*** 1.8 - WT Tx430 13 107.5 3.7 -

P1, P2, and P3: Male parental lines in reciprocal crosses 1, 2, and 3 (RC1, RC2, and RC3), respectively. ***: Differences compared to wildtype TX430 are significant (p<0.0001).Even though the PH mean value of RC2 was not different from Tx430, there were individual values that surpassed the mean of wildtype. The MSH1-dr phenotype was non transgenic. ∆ (%): Change in plant height compared to Tx430.

Page 68: Organellar Signaling Expands Plant Phenotypic Variation

67

Table 2.10. Plant height of the F1 progeny between non dwarf male sterile sorghum plants (MSH1- or MSH1+) x Tx430.

Trt N PH (Mean cm) SE

1: MSH1 (-) x WT 42 105 NS 3.8

2: (MSH1 (+) x WT 30 105 NS 5.0

3: Tx430 (WT) 13 113 5.0

MSH1 (-) and MSH1 (+) were female plants, male sterile; (-) indicates lack of the MSH1 transgene after genetic segregation; (+): indicates transgenic plants; both parental lines were screened by PCR. NS: non

significant differences compared to WT (p=0.4).

Table 2.11. Plant height mean values of individual F1 progenies between non dwarf male sterile sorghum plants (MSH1-) x Tx430.

Trt N PH SE Max value Min Val Range 1 9 88.7** 5.1 111 63 48 2 9 132.0 11.4 183 90 93 3 8 98.0* 4.9 113 70 43 4 8 102.5 6.0 126 85 41 5 8 103.1 4.3 117 80 37

WT (selfed) 13 107.0 3.7 135 93 42 PH: Plant height (cm); *, **: significant differences compared to wildtype, p<0.05 and p<0.001, respectively.

Table 2.12. Plant height mean values (cm) of F1 between MSH1-dr transgenic sorghum plants pollinated by wildtype pollen.

Genotype N PH (cm) SE

1: St 2.9 xTx430 8 44.6 b *** 12.1 2: St 7.22 x Tx430 8 102.1 a 4.1 3: St 7.7 x Tx430 8 111.8 a 2.1 4: Tx430 (WT) 8 113.1 a 5.0

PH: Plant Height (cm); ***: significant differences, p<0.0001. All the females were MSH1-dr phenotype and RNAi transgenic.

Page 69: Organellar Signaling Expands Plant Phenotypic Variation

68

Table 2.13. Fertility restoration in the progeny of male sterile T3 plants MSH1 minus or MSH1 plus transgene, pollinated by wildtype, or MSH1 transgenic pollen.

Genotype N FR (%) SE MSH1(-) x (WT) 42 100a 0.0 MSH1(+) x (WT) 30 93a 0.1 MSH1(-) x MSH1(+) 26 92a 0.1 MSH1(+) x MSH1(+) 28 64 b*** 0.1

All the plants used as females were male sterile; ***: significant differences, p< 0.0005; FR (%): Fertility rate x 100; percentage values followed by the same letter are not different statistically.

Table 2.14. Sample Arabidopsis gene expression changes observed in association with altered phenotypes (genes, shown as fold change, significant at FDR<0.1). Shading designates down-regulation, non-shaded up-regulation.

 

Page 70: Organellar Signaling Expands Plant Phenotypic Variation

69

Table 2.15. Changes in GA content with loss of MSH1*

Sorghum Arabidopsis

Tx430 MSH1-RNAi Col-0 msh1

GA53 54 ± 12 24 ± 4 7 ± 0 N.D.

GA19 168 ± 7 125 ± 4 11 ± 0 N.D.

GA44 24 ± 7 N.D.

*Sorghum and Arabidopsis lines selected for testing showed dwarf phenotype.

Table 2.16. Metabolite changes in Arabidopsis msh1 and sorghum MSH1-RNAi plants.

 

 

 

Page 71: Organellar Signaling Expands Plant Phenotypic Variation

70

Table 2.17. Primers used in quantitative PCR and hybridization assays

MIR156a-F 5'- CTC AAG TTC ATT GCC ATT TTT AGG -3'

MIR156a-R 5'- GAG AGA TTG AGA CAT AGA GAA CGA AGA -3'

FLC-F 5'- GGA TGC GTCA CAG AGA ACA G-3'

FLC-R 5'- CGA CAA GTC ACC TTC TCC AA-3'

SVP-F 5'- TGA ATC GGA GAA CGC TGC TGT GTA -3'

VP-R 5'- TCT AAC CAC CAT ACG GTA AGC CGA -3'

SOC1-F 5'- TAA GGA TCG AGT CAG CAC CAA ACC -3'

SOC1-R 5'- AGC ATG TTC CTA TGC CTT CTC CCA -3'

GA2OX6-F 5'- TGAATCACTATCCACCAGCACCGT

GA2OX6-R 5'- AAGGCAGTCACCGACCAATACGAA

CYCP4;1-F 5'- ATC ACT AGT GTC ATG GTC GCT GCT -3'

CYCP4;1-R 5'- GTA GGC GTT GAA TGT GTT TGG CGT -3'

EXPA8-F 5'- TCA ACC ATC ACC GTC ACA GCT ACA -3'

EXPA8-R 5'- ATG CTG AAG AGG AGG ATT GCA CCA -3'

GASA6-F 5'- TGT GGA GGA CAA TGC ACA AGG AGA -3'

GASA6-R 5'- GGA GGG ACA CAA AGG CAT TTA GCA -3'

PIN1-F 5'- TGC TCG TTG CTT CTT ATG CCG TTG -3'

PIN1-R 5'- ACC GCA GTG CTA AGA ATG TCA GGA -3'

PIN7-F 5'- TTG GGC TCT TGT TGC TTT CAG GTG -3'

PIN7-R 5'- TGC CAT ACC AAG ACC AGC ATC AGA -3'

IAA7-F 5'- ACG TTT CTG CTG TTC CCA AGG AGA -3'

IAA7-R 5'- ACC ACT ACT GGT CTT CTG CTG AGT -3'

CYP79B3-F 5'- ACG ACC GTC GCA GGT TAC CAT ATT -3'

CYP79B3-R 5'- AGC ACA TCC TCT CTT TCC GGT ACT -3'

SorMshIRt-Fu1 5’- TGG CTA CTC AAT AGG AGG CAG GAA -3’

SorMshIRt-Ru1 5’- AT GCA CAA GGC TAG CAC CAC TGA -3’

Sb10g028020UBQ10-F 5'- TTG TGA AGA CCC TCA CTG GCA AGA -3’

Sb10g028020UBQ10-R 5'- AAT CAG CAA GGG TAC GAC CAT CCT -3’

3-2L 5’- AAACAACCAAAAAAAAAAACATACCT-3’

3-2R 5’-TGTTATTTTTATTGTAAAGATTTAATAGTTT-3’

3-2Ln 5’-CAAAAAAACTAAAAAACTATATTTAACT-3’

Probes for small RNA gel blot analysis

U6 5’TCATCCTTGCGCAGGGGCCA3’

miR156 5’GTGCTCACTCTCTTCTGTCA3’

miR172 5’ATGCAGCATCATCAAGATTCT3’

Assay for sorghum RNAi transgene

Intron-rev 5’GTGTACTCATCTGGATCTGTATTG3’

msf8 5’GGTTGAGGAGCCTGAATCTCTGAAGA3’

Page 72: Organellar Signaling Expands Plant Phenotypic Variation

71

Chapter 3

Organelle perturbation alters the epigenome to produce

dramatic and heritable changes in plant growth

Abstract. MUTS Homologue1 is a nuclear- encoded protein that is unique to

plants; it is targeted to mitochondria and plastids where it confers organellar

genome stability. RNAi down regulation of MSH1 expression influences

phenotypic variation in different dicot and monocot species, effecting

developmental reprogramming of numerous morphological traits and metabolic

pathways. In sorghum, the new phenotype, designated MSH1-dr, is

characterized by dwarfing, increased branching, delayed flowering, and

increased catabolism of gibberellic acid. When MSH1-dr plants are crossed

directly or reciprocally with the original cultivarTx430, the F1 progeny show

enhanced performance for grain yield (GY)/panicle, plant height (PH), fresh

biomass yield (FBM), and dry biomass yield (DBY). These differences were also

significant in the tested F2 to F4 generations compared to the wild type cultivar,

with increase of the mean values up to 70% for GY/panicle, 72% for PH, and

100% for FBM and DBY in two cycles of selection. These changes were more

pronounced in an unfertilized, soybean-maize rotation field, than in another

supplemented with Nitrogen, with the exception of PH; significant interaction

effects were seen between environment and the derived sorghum progenies for

GY, FBM and PH. In Arabidopsis ecotype Columbia-0, similar phenotypic effects

were accompanied by changes in DNA methylation status of the genome. It is

Page 73: Organellar Signaling Expands Plant Phenotypic Variation

72

postulated that the observed changes in plant growth are the consequence of

epigenetic effects following retrograde signaling by the chloroplast. These results

imply a role of plant organelles in plant adaptation to particular environmental

conditions and, perhaps, in expression of heterotic effects as well. We suggest

that this type of analysis might serve to improve current plant breeding systems.

Page 74: Organellar Signaling Expands Plant Phenotypic Variation

73

Introduction

The epigenome is thought to act as an interface between genotypes and

environmental signals that define the phenotype of living organisms (Bonasio et

al. 2010) by regulating gene expression (Rabinowicz et al. 2005; Makarevitch et

al. 2007). In plants, the signaling processes that participate in the final outcome

of a given phenotype have not been well elucidated, but evidence suggests a

possible role of mitochondria and chloroplasts in retrograde signaling to the

nucleus (Rhoades and Subbaiah, 2007; Nott et al. 2006), raising the question of

how organelle signaling and epigenetic changes might be interlinked to define

plant phenotypy.

Trans-generational inheritance of epigenetic changes is increasingly

evident from numerous studies (Kakutani 2002; Daxinger and Whitelaw, 2010),

and evidence exists for the feasibility to create, in Arabidopsis, new and stable

epigenetic states (Johannes et al. 2009; Reinders et al. 2009; Roux et al. 2012).

In Arabidopsis it is feasible to identify mutations of methyl transferase 1 (met1)

and decresead DNA methylation (ddm) that permit the development of epi-RIL

populations that show both heritability of novel methylation patterning and

epiallelic segregation, underscoring the influence of epigenomic variation in plant

adaptation (Roux et al. 2011).

In maize and Arabidopsis, heritable DNA methylation pattern differences

have been observed among inbred lines (Eichten et al. 2011) and resulting

hybrids that may be related to heterosis (Shen et al. 2012). In natural

populations, the epiallelic variation may be highly dynamic and, in Arabidopsis, is

Page 75: Organellar Signaling Expands Plant Phenotypic Variation

74

found predominantly in CpG methylation within gene-rich regions of the genome

(Becker et al. 2011; Schmitz, 2011).

Plant organelles have been determined to function as environmental

sensors that trigger metabolic and morphological responses under normal or

stressful conditions (Liu and Butow, 2006; Bouvier et al. 2009). For example,

heat and drought stress induce changes in mitochondrial functions that, in turn,

alter the synthesis of reactive oxygen species (ROS) (Rhoades et al. 2006), and

modify the redox status (Shedge et al. 2010), the electron transport chain (ETC),

and the synthesis of ATP (Xu et al. 2012). Morphological traits derived from

mitochondrial dysfunction include male sterility and changes in heat tolerance

(Hanson and Bentolila, 2004; Shedge et al. 2010). Chloroplasts have been more

extensively studied for their role in photosynthesis (Bouvier et al. 2009), but there

is also evidence that they are involved in modulation of jasmonic acid, gibberellic

acid, C/N ratio, lipids, and amino acids (Sakamoto et al. 1996; Bouvier et al.

2009).

The MutS Homologue1 (MSH1) gene has been shown to participate in

recombination surveillance of the mitochondrial and chloroplast genomes,

conferring organellar genome stability (Arrieta-Montiel et al. 2009). When MSH1

is disrupted, either by RNAi or point mutation, novel phenotypes emerge in

Arabidopsis, soybean, tobacco, tomato, pearl millet, and sorghum that include

leaf variegation, male sterility, delayed flowering, altered branching, reduced

stomatal density, and dwarfing (Martinez-Zapater et al. 1992; Sandhu et al. 2007;

Feng, 2008; Xu et al. 2012). In sorghum, a new phenotype was designated as

Page 76: Organellar Signaling Expands Plant Phenotypic Variation

75

developmental reprogramming (MSH1-dr, Xu et al. 2012) which combines

dwarfing, delayed flowering, high branching, and increased gibberellic acid

catabolism, and has been observed in different dicot and monocot species.

The objective of this study was to test the performance of sorghum

progenies derived from crosses between MSH1-dr and wild type phenotypes,

with the hypothesis that plant organellar disruption alters the epigenome and

derives heritable phenotypic plasticity, producing new morphological variants

suitable for use in plant breeding programs.

Page 77: Organellar Signaling Expands Plant Phenotypic Variation

76

Materials and methods

Plant materials

The sorghum germplasm used in these experiments was generated by Feng

(2008). Briefly, Agrobacterium mediated transformation of the commercial

sorghum inbred line Tx430 (Miller, 1984) was conducted with an RNAi construct

to down-regulate MSH1. Phenotypic variation of the transformants was

assessed, with variegation as the first evident change (Feng, 2008; Xu et al.

2012), with derived T2 plants showing evidence of tillering, delayed flowering and

dwarfism; these were defined as Msh1-dr plants. A T3 line consisting of 45

siblings displaying the MSH1-dr phenotype, all lacking the MSH1 RNAi

transgene, was grown under greenhouse conditions and the individual plants

were designated GAII1-GAII45. Six of them, GAII11, GAII15, GAII22, GAII24,

GAII25, and GAII28 were used as females in crosses to wildtype inbred Tx430 to

derive F1 seed, whereas three reciprocal crosses were conducted with plants

GAII22, GAII23, and GAII27. Day temperature in the greenhouse was 26°C to

28°C, and night was 21°C to 23°C.

The F1 progenies were grown in the same greenhouse conditions and

comprised a variable number of individuals; thus, GAII11 x Tx430, GAII15 x

Tx430, GAII22 x Tx430, GAII24 x Tx430, GAII25 x Tx430, and GAII28 x Tx430

were represented by: 7, 15, 5, 19, 12 and 12 plants, respectively. In addition, T4

plants were grown with self-pollinated seed from the six maternal MSH1-dr plants

with 17, 19, 18, 17, 15, and 18 individuals for GAII11, GAII15, GAII22, GAII24,

Page 78: Organellar Signaling Expands Plant Phenotypic Variation

77

GAII25, and GAII28, respectively; Tx430 was represented by 16 plants. Self-

pollinated seed of every F1 plant was harvested individually to derive epi-lines

corresponding to the F2 generation, following the pedigree system.

Field experiments

During summer 2010 and 2011, the F2 generation was grown in two field

experiments established under rainfed conditions in the Havelock Experiment

Station of University of Nebraska, in Lincoln, NE. They were arranged under an

incomplete block design; the first experiment consisted of one replication, with 15

blocks and 30 entries per block (30 x 15 alpha lattice). Individual lines were

planted under a panicle per row design, with a single row plot of 5 m length and

0.75 m between rows; this allowed collection of F3 seed.

The second experiment comprised seven blocks of 28 entries each (28 x 7

alpha lattice), with three replications allocated in two environments; replications I

and II were fertilized with supplemental Nitrogen at a dosage of 100 kg/ha

(Environment I); the third replication was planted in a plot that had been rotated

with soybean-maize (Environment II). Based on net grain yield per panicle

(NGY), 48 samples from the 2010 experiment were selected to grow the F3 in the

field. Those samples represented the six original crosses and included high and

low grain yield values. Previously, a subgroup of 17 F3 samples had been

selected based on dry panicle weight (DPW) to derive F4 seed under greenhouse

conditions. Thus, the 2011 field experiment comprised: 61, 77, and 42 entries

Page 79: Organellar Signaling Expands Plant Phenotypic Variation

78

corresponding to the F2, F3 and F4 generations, respectively, and the wild type

cultivar, Tx430, as a control; the F2 included 13 entries from reciprocal crosses.

Phenotypic traits

In both experiments, the phenotypic traits recorded were: plant height (PH), in cm

from the ground to the tip of the panicle, fresh and dry biomass yield (FBY and

DBY) (g), and net grain yield (NGY) (g) per head. Sample size of each trait

varied from five to ten random inner-row plants per plot. Healthy and well

shaped heads were bagged before anthesis for self-pollination, and harvested at

physiological maturity; at this point FPW was measured; the heads were dried at

26oC during 30 days to proceed with NGY records. Biomass samples consisted

of three-plant samples that were bagged and weighed after cutting to obtain

FBW; they were also integrated by random inner-row plants, and completely

dried at 70oC during 15 days to measure DBY.

Statistical analyses

Analyses of variance to test for epiG*E interactions were conducted (GLIMMIX,

SAS 9.2); when appropriate, mean comparison tests were carried out within each

environment for the traits indicated, comparing the sorghum epi-lines versus the

wild type.

Page 80: Organellar Signaling Expands Plant Phenotypic Variation

79

Genotyping MSH1-dr plants

Presence/absence of the transgene in sorghum was confirmed by PCR

screening with the primers: 5’ GTG TAC TCA TCT GGA TCT GTA TTG-3’ and

5’- GGT TGA GGA GCC TGA ATC TCT GAA GAA C-3’. The conditions of the

reaction were: initial denaturation at 95°C during 5 min, 30 cycles of denaturation

at 95°C during 30 s, annealing at 55°C during 1 min, and extension at 72°C

during 2 min; a final extension was set at 72°C during 10 min. Positive and

negative controls were included in the analysis with transgenic samples and wild

type, respectively.

Arabidopsis Col-0 and msh1 mutant lines were obtained from the

Arabidopsis stock center and grown at 12hr daylight, 22°C. MSH1-epi lines were

derived by crossing MSH1-dr lines with wildtype plants. Arabidopsis plant

biomass and rosette diameters were measured for 4-week-old plants, and

flowering time was measured as date of first visible flower bud appearance. For

hemi-complementation crosses, mitochondrial (AOX-MSH1) and plastid (SSU-

MSH1) complemented homozygous lines were crossed to Col-0 wild type plants.

Each F1 plant was genotyped for transgene and wild type MSH1 allele with

primers: RNAi-F 5’-GTGTACTCATCTGGATCTGTATTG-3’ and RNAi-R 5’-

GGTTGAGGAGCCTGAATCTCTGAAC-3’, and harvested separately. Three F2

families from AOX-MSH1 x Col-0 and two F2 families from SSU-MSH1 x Col-0

were evaluated for growth characters. All families were grown under the same

conditions, and biomass, rosette diameter and flowering time were measured.

Two-tailed Student t-test was used to calculate p-values. The Arabidopsis

Page 81: Organellar Signaling Expands Plant Phenotypic Variation

80

experiments were carried out by Kamaldeep Virdi, Dr. Maria Arrieta-Montiel and

Dr. Ying-Zhi Xu.

SSR marker screening

Genetic polymorphism was assessed in some epi-lines of the F2, F3, and F4

generations that displayed phenotypic diversity. They were screened by 43

markers that showed polymorphism between sweet sorghum “Wray” and Tx430.

SAM16073 primers were used, and the samples included sweet sorghum “Wray”

and the wild type cultivar Tx430, as positive and negative controls, respectively;

the test included also one MSH1-dr line, transgene null, displaying the dwarfed,

tillered, delayed flowering phenotype; DNA samples were isolated with the urea

method, in experiments that were conducted by Dr. Yashitola Wamboldt, Hardik

Kundariya and Omar Lozano.

Results

The MSH1-dr sorghum phenotype is fully penetrant under self-pollination,

and derives enhanced growth in crosses to wildtype, with expanded

phenotypic variation.

Figure 3.1 shows the transgene and mutant crossing process that was

used in this study for both sorghum and Arabidopsis. In sorghum, all experiments

were conducted with the inbred line Tx430 (Miller, 1984), whereas Arabidopsis

experiments were carried out in the inbred ecotype Columbia-0.

Page 82: Organellar Signaling Expands Plant Phenotypic Variation

81

MSH1-dr sorghum plants that no longer contain the MSH1-RNAi

transgene display normal MSH1 transcript levels (Xu et al. 2012). However, they

maintain the altered growth phenotype through multiple generations of self-

pollination, and when crossed directly or reciprocally to the wild type inbred

Tx430 line, produce progeny that are restored to normal phenotype (Figure 3.2).

The derived F1 progeny, designated MSH1-epiF1, no longer show the dwarfed,

high tillering, and late flowering phenotype; in fact, many of the plants grow taller

and set more seed than the wildtype (Xu et al. 2012, Figure 3.2A). Self-

pollination of the MSH1-epiF1 plants produces an F2 population (MSH1-epiF2)

that is strikingly variable in plant phenotype (Table 3.1), with bimodal distribution

for plant height and grain yield (Figure 3.3 for plant height), but shows low

frequency, 1-2 %, of the MSH1-dr phenotype. A small proportion of greenhouse-

grown MSH1-epiF3 families showed the MSH1-dr phenotype at a frequency of

ca. 8% (Table 3.2) that may be derived from inadvertent selection; however, no

dwarf phenotype appeared in the epi-F4 lines.

Derived epi-lines show enhanced growth for agronomic traits with

significant environmental interaction effects.

The MSH1-epiF2 lines and subsequent populations derived by self-

pollination, show variation for agronomic performance traits. The allocation of the

experiment in two growing conditions permitted to make inferences about

interactions between epi-lines and environment. Environment I was

supplemented with 100 kg of Nitrogen/ha, whereas the Environment II was not

Page 83: Organellar Signaling Expands Plant Phenotypic Variation

82

fertilized, but had been rotated in previous seasons between soybean and maize

crops. The analyses of variance indicate significant interaction effects between

epi-lines and environments for grain yield/panicle, plant height, and above-

ground fresh biomass, p< 0.0001, p< 0.05, and p< 0.05, respectively; dry

biomass, in contrast, shows no interaction with environment (p<0.08). The

highest mean values for grain yield, and fresh and dry biomass yield were

recorded in the non-fertilized field (Figure 3.4 for grain yield in F2 epi-lines), while

the highest values of plant height were observed under nitrogen

supplementation. Within both environments, different epi-lines of each

generation, from F2 to F4, show higher mean values than wildtype for grain yield

and biomass yield; significantly higher grain yield was combined with either tall

plants or epi-lines that grow like wildtype (Table 3.3), and the changes observed

in the traits recorded were up to 70% for GY, 72% for PH, and 100% for FBM

and DBY; moreover, the outstanding response of the epi-lines with fertilization

indicates that they are more responsive to Nitrogen than wildtype, and suggest

they display a better Nitrogen use efficiency rate, even in absence of Nitrogen

supplementation.

Enhanced growth is also observed in derived progenies of msh1 mutant x

wildtype Arabidopsis

Similar changes in growth were observed in Arabidopsis populations derived

from crossing the msh1 mutant with wild type, followed by selection for the

homozygous MSH1/MSH1 F2 plants and serial self-pollination (Figure 3.5; Table

3.4).

Page 84: Organellar Signaling Expands Plant Phenotypic Variation

83

Earlier studies showed that altered plant development in sorghum MSH1-

dr and Arabidopsis msh1 mutant lines, including variation in growth rate,

branching, maturation and flowering, was conditioned by chloroplast changes (Xu

et al. 2012). We were interested in assessing the relationship of MSH1-epiF2

variation to these organellar influences. Arabidopsis MSH1 hemi-

complementation lines, derived by introducing a mitochondrial- versus

chloroplast-targeted MSH1 transgene to the msh1 mutant line (Xu et al. 2011),

distinguish mitochondrial and chloroplast contributions to the phenomenon. Both

mitochondrial and chloroplast hemi-complementation lines were crossed as

females to wild type (Col-0) to produce F1 and F2 progeny. F1 plants from crosses

to the chloroplast-complemented line produced phenotypes similar to wildtype,

although about 25% of the F1 plants showed altered leaf curling and delayed

flowering (Figure 3.5). This curling phenotype may be a consequence of MSH1

over expression, since F1 plants contain both the wild type MSH1 allele and the

transgene. The phenotype resembles effects of altered salicylic acid pathway

regulation, an epigenetically regulated process (Stokes et al. 2002), and is being

investigated further. F1 progeny from crosses to the mitochondrial complemented

line displayed phenotypic variation in plant growth, with over 30% of the plants

showing enhanced growth, larger rosette diameter, thicker floral stems and

earlier flowering time, similar to MSH1-epiF4 phenotypes (Figure 3.6). These

results were further confirmed in the mitochondrial vs. chloroplast-complemented

F2 populations (Figure 3.5B-E), and suggest that the MSH1-epiF4 enhanced

Page 85: Organellar Signaling Expands Plant Phenotypic Variation

84

growth changes derive from restoring MSH1 function to plants that have

undergone the MSH1-dr developmental reprogramming phenomenon.

The phenotypic traits are responsive to selection

PH displayed the highest stability since tall entries were observed in the three

generations tested with increased uniformity through generations. Although

GY/panicle was subjected to less rigorous selection during growth in the

greenhouse to obtain the sorghum F4, response to selection was observed in GY

(Figure 3.7 for high GY, and Figure 3.8 for low GY). These results suggest a high

degree of heritability and selection response for the variation observed, with

changes for grain yield around 16 to 21% per cycle of selection for either high or

low grain yield.

MSH1-dr and derived epi-lines are not polymorphic compared to wildtype

Samples of the wild type cultivar Tx430, a Tx430 MSH1-dr line (transgene null),

and selected F2, F3 and F4 derived epi-lines that were assayed for DNA

polymorphism with different SSR markers show uniformity for all markers (Figure

3.9 ; Table 3.5); these results support our conclusion that the range of phenotypic

variation observed is non-genetic.

Page 86: Organellar Signaling Expands Plant Phenotypic Variation

85

Discussion

Results of this study are evidence of organellar effects over epigenetic variation

that condition phenotypic variability, with novel traits subject to selection based

on the transgenerational inheritance observed. Moreover, RNAi down-regulation

of MSH1 is a mechanism to disrupt plant organelles, initiate these phenotypic

changes, and derive a series of phenotypes in different plant species.

Outstandingly, the heritability of the new traits, as demonstrated in

sorghum and Arabidopsis, remains after genetic segregation of the transgene;

i.e.in both species, enhanced growth is observed in the F1 and derived progenies

from the cross between MSH1-dr and wildtype phenotypes. Therefore, the

MSH1-dr phenotype, lacking the MSH1 transgene, and characterized by

dwarfing, delayed flowering, high branching, and increased GA catabolism is a

crucial component of this response, since enhanced growth is not observed, as

tested in sorghum, in crosses between wildtype and MSH1-dr transgenic plants

or those transformant transgene null lines that undergo normal growth (see

chapter 2). The enhanced growth observed in Arabidopsis through genetic hemi-

complementation was associated with plastid perturbation (Xu et al. 2012), as

well as with changes in the methylome status of the genome (Xu et al.

unpublished). In contrast, in sorghum, enhanced growth was observed in crosses

of MSH1-dr individuals after segregation of the transgene, either in direct or

reciprocal crosses; this observation indicates that the improved performance of

derived progenies is not from organellar effects, and suggests heritable

epigenetic effects, since the genetic background in both parents is Tx430; this

Page 87: Organellar Signaling Expands Plant Phenotypic Variation

86

was confirmed by the lack of polymorphism in SSR marker screening between

wildtype Tx430 and derived epi-lines.

Disruption of MSH1 produces developmental alterations in the plant, and

genetic data to date show that these derive from plastid changes (Xu et al. 2012).

The behavior of the MSH1-dr phenotype, showing independence from the

transgene and involvement of multiple developmental pathways, implies that

MSH1-dr changes are epigenetic. The most dramatic natural reprogramming of

the epigenome in plants occurs during reproductive development (Hsieh et al.

2009; Gehring et al. 2009). MSH1 expression is highest during reproduction, with

transcripts detected in both ovule and anther tissues (Shedge et al. 2007). MSH1

steady state transcript levels are also markedly reduced in response to

environmental stress (Xu et al. 2011; Shedge et al. 2010). Consequently, it is

plausible that MSH1 participates in the environmental sensing mechanism of the

plant, presumably acting via its direct interaction with the chloroplast.

MSH1 suppression represents a novel means of altering phenotype

behavior in plant lines; the approach elucidates variation within a plant lineage

that is heritable and selection-responsive. It is conceivable that MSH1

participates in plant phenotypic canalization and epigenetic remodeling, serving

as a means of relaxing genetic constraint on phenotype to meet conditions of

environmental change (Kalisz and Kramer, 2008). The surprisingly high levels of

variation derived within a single inbred sorghum genotype in this study suggest

that the process could be readily integrated to a crop breeding program for

enhancing productivity, improving stress tolerance and directly identifying epi-

Page 88: Organellar Signaling Expands Plant Phenotypic Variation

87

alleles that underlie phenotypic variation for agronomic performance. We

observed significant increase in grain yield, above-ground biomass, and plant

height in sorghum epi-lines derived from Tx430 following two generations of mild

selection. Whether all of this is feasible across a range of crops, and stable under

larger scale analysis, will be a crucial question for future investigation.

Page 89: Organellar Signaling Expands Plant Phenotypic Variation

88

References

Abdelnoor RV, Yule R, Elo A, Christensen AC, Meyer-Gauen G, Mackenzie SA. (2003). Substoichiometric shifting in the plant mitochondrial genome is influenced by a gene homologous to MutS. Proc. Natl. Acad. Sci. USA 100:5968-5973.

Abdelnoor RV,Christensen AC, Mohammed S, Munoz-Castillo B, Moriyama H, Mackenzie SA. (2006). Mitochondrial genome dynamics in plants and animals: convergent gene fusions of a MutS Homologue. J Mol Evol 63:165–173.

Arrieta-Montiel MP, Shedge V, Davila J, Christensen AC, Mackenzie SA. (2009). Diversity of the Arabidopsis mitochondrial genome occurs via nuclear-controlled recombination activity. Genetics 183:1261–1268.

Becker C, Hagmann J, Müller J, Koenig D, Stegle O, Borgwardt K, Weigel D. (2011). Spontaneous epigenetic variation in the Arabidopsis thaliana methylome. Nature 480:245-249.

Bonasio R, Tu S, Reinberg D. (2010). Molecular signals of epigenetic states.

Science 330: 612-616. Bouvier F, Mialoundama AS, Camara B. (2009). A sentinel role for plastids.The

Chloroplast-interactions with the environment.Sandelius A. S. and Aronsson H., (Eds) Springer-Verlag, Berlin: 267-292.

Daxinger L, Whitelaw E. (2010). Transgenerational epigenetic inheritance: More questions than answers. Gen. Res 20:1623–1628.

Eichten SR, Swanson-Wagner RA, Schnable JC, Waters AJ, Hermanson PJ, et al. (2011). Heritable Epigenetic Variation among Maize Inbreds. PLoS Genet 7(11): e1002372.

Feng X. (2008). The molecular basis of mitochondrial genome rearrangements in pearl millet and sorghum. PhD Dissertation. University of Nebraska-Lincoln. 94 pp.

Gehring M, Bubb KL, Henikoff S. (2009). Extensive demethylation of repetitive elements during seed development underlies gene imprinting. Science 324: 1447-1451.

Hanson MR, Bentolila S. (2004). Interactions of mitochondrial and nuclear genes that affect male gametophyte development. Plant Cell 16:S154–S169.

Page 90: Organellar Signaling Expands Plant Phenotypic Variation

89

Hsieh T-F, Ibarra CA, Silva P, Zemach A, Eshed-Williams L, et al. (2009). Genome-wide demethylation of Arabidopsis endosperm. Science 324:1451-1454.

Johannes F, Porcher E, Teixeira FK, Saliba-Colombani V, Simon M, et al.

(2009). Assessing the impact of transgenerational epigenetic variation on complex traits. PLoS Genet 5:6:e1000530.

Kakutani T. (2002). Epi-alleles in plants: inheritance of epigenetic information over generations. Plant Cell Physiol. 43:10: 1106–1111.

Kalisz S, Kramer EM. (2008). Variation and constraint in plant evolution and development. Hered. 100: 171-177.

Krueger F, Andrews SR. (2011). Bismark: a flexible aligner and methylation caller

for Bisulfite-Seq applications. Bioinformatics 27:1571-1572 (2011). Lister R, O'Malley RC, Tonti-Filippini J, Gregory BD, Berry CC, Millar AH,et al.

(2008). Highly integrated single-base resolution maps of the epigenome in Arabidopsis. Cell 133:523-36.

Liu Z, Butow RA. (2006). Mitochondrial Retrograde Signaling. Annu. Rev. Genet. 2006. 40:159–85.

Mackenzie S, McIntosh. (1999). Higher Plant Mitochondria. Plant Cell11: 571–585.

Makarevitch I, Stupar RM, Iniguez AL, Haun WJ, Barbazuk WB, Kaeppler SM, and Springer NM. (2007). Natural variation for alleles under epigenetic control by the maize chromomethylase Zmet2. Genetics 177: 749–760.

Martínez-Zapater JM, Gil P, Capel J, Somerville CR. (1992). Mutations at the

Arabidopsis CHM locus promote rearrangements of the mitochondrial genome. Plant Cell 4(8):889-99.

Miller FR. (1984). Registration of RTx430 sorghum parental line. Crop Sci.

24:1224. Nott A, Jung H-S, Koussevitzky S,Chory J. (2006). Plastid-to-nucleus retrograde

signaling.Annu.  Rev.  Plant  Biol.2006.  57:739–59.    Notredame C, Higgins DG, Heringa J. (2000). T-Coffee: A novel method for fast

and accurate multiple sequence alignment. J Mol Biol. 302:205-217.

Page 91: Organellar Signaling Expands Plant Phenotypic Variation

90

Paszkowski J, Grossnikl U. (2011). Selected aspects of transgenerational epigenetic inheritanceand resetting in plants. Current Opinion in Plant Biology 2011, 14:195–203.

Rabinowicz PD, Citek R, Budiman MA, Nunberg A, Bedell JA, et al. (2005).

Differential methylation of genes and repeats in land plants. Gen Res, 15:1431–1440.

Reinders J, Wulff BBH, Mirouze M, et al. (2009). Compromised stability of DNA

methylation and transposon immobilization in mosaic Arabidopsis epigenomes. Genes Dev 23:939-950.

Richards EJ. (2006). Inherited epigenetic variation —revisiting soft inheritance

Nat. Rev. Genet: 7:395-401. Rhoades DM, Subbaiah CC. (2007). Mitochondrial retrograde regulation in

plants. Mitochondrion 7: 177-194. Roux F, Colomé-Tatché M, Edelist C, Wardenaar R, Guerche P, et al. (2011).

Genome-wide epigenetic perturbation jump-starts patterns of heritable variation found in nature. Genetics: 188: 1015–1017.

Sakamoto W, Kondo H, Murata M, Motoyoshi F. (1996). Altered mitochondrial gene expression in a maternal distorted leaf mutant of Arabidopsis induced by chloroplast mutator. Plant Cell 8:1377–1390.

Sakamoto W. (2003). Leaf-variegated mutations and their responsible genes in Arabidopsis thaliana. Gen Genet Syst 78: 1-9.

Shedge V, Arrieta-Montiel M, Christensen AC, Mackenzie SA. (2007). Plant mitochondrial recombination surveillance requires unusual RecA and MutS homologs. Plant Cell 19: 1251-1264.

Shedge V, Davila J, Arrieta-Montiel MP, Mohammed S, Mackenzie SA. (2010). Extensive rearrangement of the Arabidopsis mitochondrial genome elicits cellular conditions for thermotolerance. Plant Physiol. 152:1960–1970.

Shen H, He H, Li J, Chen W, Wang X, et al. (2012). Genome-wide analysis of DNA methylation and gene expression changes in two Arabidopsis ecotypes and their reciprocal hybrids. Plant Cell 24:875-892.

Schmitz RJ, Schultz MD, Lewsey MG, O’Malley RC, Urich MA, et al. (2011).

Transgenerational epigenetic instability is a source of novel methylation variants. Science 334:369-373.

Page 92: Organellar Signaling Expands Plant Phenotypic Variation

91

Stokes TL, Kunkel BN, Richards EJ. (2002). Epigenetic variation in Arabidopsis disease resistance. Genes Dev 16, 171-182.

Storey JD, Tibshirani R. (2003). Statistical significance for genome wide studies.

Proc. Natl. Acad. Sci. USA 100:9440-9445. Tani E. Polidoros AN, Nianiu-Obeidat I, Tsaftaris AS. (2005). DNA methylation

patterns are differently affected by planting density in maize inbreds and their hybrids. Maydica 50:19-23.

Xu Y-X, Arrieta-Montiel MP, Virdi KS, de Paula WBM, Widhalm JR, Basset GJ,

Davila JI, Elthon TE, Elowsky CG, Sato SJ, Clemente TE, Mackenzie SA. (2011). MutS HOMOLOG1 is a nucleoid protein that alters mitochondrial and plastid properties and plant response to high light. Plant Cell 23:3428-3441.

Xu Y-Z, de la Rosa Santamaria R, Virdi KS, Arrieta-Montiel MP, Razvi F, Li S,

Ren G, Yu B, Alexander D, Guo L, Feng X, Dweikat IM, Clemente TE, Mackenzie SA. (2012). The chloroplast triggers developmental reprogramming when MUTS HOMOLOG1 is suppressed in plants. Plant Physiol 159:710-720.

Youngson NA, Whitelaw E. (2008).Transgenerational epigenetic effects. Annu.

Rev. Genom. Human Genet 9:233-257.  

 

 

 

 

 

 

 

Page 93: Organellar Signaling Expands Plant Phenotypic Variation

92

List  of  Figures  Chapter  3  

 

 

 

Figure  3.1.  Deriving  MSH1-­‐epiF2  populations  of  sorghum  and  Arabidopsis.  MSH1-­‐dr  phenotypes  transgene  minus  were  pollinated  by  wild  type  pollen.  

 

 

 

Figure  3.2.  Enhanced  growth  phenotype  of  MSH1-­‐dr-­‐epi-­‐lines  of  sorghum.  (A)  The  phenotype  of  the  F1  progeny  derived  from  crossing  sorghum  MSH1-­‐dr  x  Tx430;  Tx430  on  left,  F1  on  center,  and  MSH1-­‐dr  on  right.  (B)  MSH1-­‐dr  phenotype  is    maintained  through  generations  of  selfing,  (C)  MSH1-­‐dr  epiF3  and  epiF4  of  sorghum,  (D)  Panicles  from  Tx430  (on  left)  versus  epiF2  (on  right),  and  (E)  Seed  yield  from  panicles  shown  in  D.  

Page 94: Organellar Signaling Expands Plant Phenotypic Variation

93

 

Figure  3.3.  Plant  height  distribution  in  F2  sorghum  epi-­‐lines;  the  original  cross  was  MSH1-­‐dr  x  Tx430  phenotypes.  Five  epi-­‐lines,  (GAII-­‐11  to  GAII-­‐28)  displaying  a  bimodal  distribution,  and  wildtype  (WT)  Tx430  are  illustrated.    

 

Figure  3.4.  Grain  yield  (GY)  of  F2  MSH1-­‐dr  epilines  grown  in  two  field  environments,  2011.  Environment  1  (Env  1)  is  a  plot  supplemented  with  100  kg/ha  Nitrogen;  Environment  2  (Env  2)  is  a  plot  not  fertilized,  rotated  between  soybean-­‐maize  in  previous  seasons.    

 

 

Page 95: Organellar Signaling Expands Plant Phenotypic Variation

94

Figure  3.5.  MSH1-­‐epi  enhanced  growth  in  Arabidopsis  is  associated  with  chloroplast  effects.  (A)  Mitochondrial  hemi-­‐complementation  line  AOX-­‐MSH1  x  Col-­‐0  F1;  (B)  Plastid-­‐complemented  SSU-­‐MSH1  x  Col-­‐0  F2  appears  identical  to  Col-­‐0  wild  type;  (C)  Rosette  diameter  and  fresh  biomass  of  SSU-­‐MSH1-­‐derived  F2  lines  relative  to  Col-­‐0;  (D)  Mitochondrial-­‐complemented  AOX-­‐MSH1  x  Col-­‐0  F2  showing  enhanced  growth;  (E)  Rosette  diameter  and  fresh  biomass  of  AOX-­‐MSH1-­‐derived  F2  lines  is  significantly  greater  (P<0.05)  than  Col-­‐0.  (F)  Enhanced  growth  phenotype  in  the  F2  generation  of  A0X-­‐MSH1  x  Col-­‐0.  This  experiment  was  conducted  by  Dr.  M.  Arrieta-­‐Montiel,  K.  Virdi,  and  Dr.  Y.  Xu.    

 

Page 96: Organellar Signaling Expands Plant Phenotypic Variation

95

 

Figure  3.6.  Evidence  of  enhanced  growth  in  Arabidopsis.  (A)  Rosette  growth  in  an  epiF4  line,  (B)  Arabidopsis  epiF4  plants  show  enhanced  plant  biomass,  rosette  diameter,  and  stem  diameter  relative  to  Col-­‐0.  Data  shown  as  means  ±  from  >6  plants,  C)  The  Arabidopsis  epiF4  at  flowering.    Courtesy  of  Dr.  Y-­‐Z  Xu  and  K.  Virdi.  

 

Figure  3.7.  Grain  yield  is  responsive  to  selection  in  derived  MSH1-­‐dr  sorghum  epi-­‐lines.  A)  Epi-­‐line  1  selected  for  high  grain  yield  and  grown  under  Nitrogen  supplementation,  B)  Epi-­‐line  2  selected  for  high  grain  yield  and  grown  in  a  field  under  soybean-­‐maize  rotation.  Both  epi-­‐lines  were  grown  during  summer  2011,  and  the  selection  started  in  the  F2  generation  (Cycle  0).  The  value  of  each  point  is  the  average  of  15  to  20  random  inner-­‐row  plants.  A  and  B  correspond  to  lineage  MSH1-­‐epi11  and  MSH1  epi15,  respectively.    

Page 97: Organellar Signaling Expands Plant Phenotypic Variation

96

 

Figure  3.8.  Two  MSH1-­‐dr  epi-­‐lines  selected  for  low  grain,  and  grown  under  Nitrogen  supplementation.  Values  used  to  plot  individual  points  of  each  line  are  the  average  of  five  to  ten  inner-­‐row  plants.  The  decrease  in  the  mean  value  in  the  epi-­‐line  1,  blue  line,  is  around  36%  from  the  F2  (Cycle  0)  to  the  F3  generation  (Cycle1);  both  lines  correspond  to  the  lineage  MSH1-­‐epi24.    

 Figure  3.  9.  Sample  SSR  marker  analysis  of  sorghum  genomic  DNAs  prepared  from  wild  type  Tx430,  Tx430-­‐dr  line  (transgene  null,  dwarfed,  high  tillered,  and  delayed  flowering),  one  epi-­‐F2,  and  seven  F4    epi-­‐lines  selected  for  phenotypic  diversity.  Sweet  sorghum  “Wray”  was  included  as  a  control.  The  SSR  marker  shown  is  generated  with  SAM16073  primers.  Arrow  shows  detected  DNA  polymorphism.  M  designates  marker  lane,  with  fragment  sizes  (bp)  shown  at  left.  The  1500  and  35  bp  fragments  are  internal  markers  used  to  calibrate  each  line.  The  screening  was  conducted  by  Dr.  Y.  Wamboldt,  H.  Kundariya  and  O.  Lozano.  

Page 98: Organellar Signaling Expands Plant Phenotypic Variation

97

List of Tables Chapter 3  

Table 3.1. Phenotypic variation increases for different traits in the F2 sorghum MSH1-dr epi-lines compared to wild type.

      Plant  Height  

  Grain  Yield/Panicle  

 

Year   Family   n   Mean  (cm)   SE   Mean  (g)   SE     MSH1-­‐epi  

11  30   166   8.4***   51.3   3.5***  

  MSH1-­‐epi  15  

40   135      5***   33.7   2.5***  

2010   MSH1-­‐epi  22  

27   156   8.1***   35.8   2.8***  

  MSH1-­‐epi  24  

89   140      3.4*   34.4   1***  

  MSH1-­‐epi  28  

88   141   3.6**   23.8   1.6***  

  Tx430   10   132        2.4   24.2   0.9     MSH1-­‐epi  

11  60  

187   3.9***   54   1.6*  2011   MSH1-­‐epi  

15  110  

177   2.4***   53.7   0.9     MSH1-­‐epi  

22  20  

181   10.6***   56.6   2.6*     MSH1-­‐epi  

24  130  

155   2***   47.9   1.2     MSH1-­‐epi  

28  80  

157   3.6***   47.5   1.3     Tx430   90   135    0.6   43   1.1  

*,  **,  ***:  Variances  are  different  based  on  Levene’s  test,  p<.05,  <.001,  <.0001,  respectively.  

 

 

 

 

 

 

 

 

Page 99: Organellar Signaling Expands Plant Phenotypic Variation

98

Table 3.2. Frequency of the MSH1-dr phenotype (8.4%) in epi-F3 families derived from sorghum Tx430 MSH1-dr x Tx430, grown in the greenhouse. Derived epi-F4 families showed no evidence of the MSH1-dr phenotype.

 

 

                         

Page 100: Organellar Signaling Expands Plant Phenotypic Variation

99

Table 3.3. Mean value samples of agronomic traits in three generations of MSH1 epi-lines derived from crosses between MSH1-dr x Tx430 (WT) sorghum phenotypes, tested in two environments during 2011, Lincoln, NE.

 GY:  Grain  Yield/panicle;  PH:  Plant  height;  FBY:  Fresh  biomass  yield/plant;  DBY:  Dry  Biomass  Yield/plant;  Env  I:  Environment  I,  fertilized  with  100  Kg  N/ha;  Environment  II,  non-­‐  fertilized  field,  and  rotated  with  soybean-­‐maize  in  previous  seasons.  Digits  in  brackets  indicate  the  number  of  treatment  to  differentiate  epi-­‐lines  within  lineages  in  the  experiment.  *,  **,  and  ***:  significant  differences  compared  to  wildtype  Tx430,  p<  0.05,  0.01,  and  0.0001,  respectively.  F2  RC  Epi22  (184)  is  the  progeny  of  a  reciprocal  cross.  WT  Tx430:  is  the  wildtype  cultivar  used  for  plant  transformation  and  deriving  all  of  the  epi-­‐lines.    The  MSH1-­‐dr  plants  were  transgene  null.  

 

Page 101: Organellar Signaling Expands Plant Phenotypic Variation

100

Table 3.4. Analysis of phenotypic data from individual Arabidopsis F2 families derived by crossing hemi-complementation lines x Col-0 wildtype. SSU-MSH1 refers to lines transformed with the plastid-targeted form of MSH1; AOX-MSH1 refers to lines containing the mitochondrial-targeted form of the MSH1 transgene. In all genetic experiments using hemi-complementation, presence/absence of the transgene was confirmed with a PCR-based assay.

 

†P  values  are  based  on  two-­‐tailed  Student  t-­‐test  comparing  to  Col-­‐0    NS  =  Not  Significant  

Courtesy  of  Dr.  M.  Arrieta-­‐Montiel,  K.  Virdi,  and  Dr.  Y.  Xu.  

                                                 

Page 102: Organellar Signaling Expands Plant Phenotypic Variation

101

Table 3.5. SSR marker polymorphism data for 43 markers. Markers were scored as + or – relative the pattern of Tx430 wild type. SSR markers were selected based on their polymorphic behavior in comparisons of Tx430 and ‘Wray’. Assays included a transgene- null Tx-430 line displaying the developmental reprogramming phenotype (dr), one epi-F2, two epi-F3 and seven epi-F4 lines.

 

Page 103: Organellar Signaling Expands Plant Phenotypic Variation

102

 

 

 

 

 

 

 

 

 

 

 

   

Page 104: Organellar Signaling Expands Plant Phenotypic Variation

103

Conclusion

Suppression of MSH1 has been associated to leaf variegation, male sterility, and

dwarfism in different dicot and monocot species. In sorghum, the MSH1-dr

phenotype that combines dwarfism, high branching and delayed flowering is

initiated by MSH1 RNAi down regulation, but is attributed to changes in the

epigenome elicited by organellar signaling rather than organellar genome

rearrangements. After genetic segregation of the RNAi transgene, the novel

phenotype represents an important source of germplasm to improve agronomic

traits such as grain yield, plant height, and biomass yield, with significant

response to selection. Enhanced growth observed in the progeny of crossing

parental lines with the same genetic background, as demonstrated in sorghum in

this study, has not been documented previously, whereas the evidence of plastid

disruption and changes in the methylation status, observed in the Arabidopsis

genome, illustrates the transcendental role the chloroplast plays to exert

retrograde signaling and induce epigenetic variation that underlie heritable

phenotypic variation. These results could help to understand better the genotype

by environment interactions, and optimize current plant breeding systems.

Moreover, MSH1 down regulation is an efficient mechanism to create phenotypic

variation under narrow genetic diversity.

Further studies, however, are required to know the extent of the response

to selection, the stability of the improved traits, and their reproducibility in other

crop species as well. Whereas the MSH1-dr phenotype is fully penetrant through

generations of selfing, an arising question refers to the performance of derived

Page 105: Organellar Signaling Expands Plant Phenotypic Variation

104

lines from advanced generations after crossing the MSH1-dr phenotype

transgene null to widltype. Selection practiced in early generations suggests the

feasibility of creating stable outstanding sorghum epilines; however, this must be

confirmed under more diverse environmental conditions that include different

types of abiotic factors, as well as their response in biotic defense. Components

of higher grain yield and above biomass yield require also to be elucidated, in

combination with transcript profiling of different genes involved in physiological

and metabolic pathways such as starch and sugar synthesis, and plant

hormones additional to GA. The performance test and selection of epi-lines per

se or in crosses with other epi-lines, related or not, could be optimized by current

molecular techniques to identify epi-alleles or epiQTLs that underlie the observed

phenotypic variation; in this context, the correct phenotypic characterization of

the novel plant material will keep being crucial for a successful enterprise.

Despite these challenges, we believe that a new era in the plant breeding field

has started, in which organellar retrograde signaling and epigenetic variation will

play essential roles by expanding the phenotypic variation suitable for artificial

selection.