Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
The term priming is mostly used for biotic interactions (e.g., with herbivores or parasites), while the term acclimation is commonly used for abiotic stress events (e.g., heat or frost). They both denote the sensitivity and responsiveness to stress that results from a prior experience and often causes enhanced defense readiness. For simplicity, we will use the term 'priming' in this section for both biotic and abiotic stressors (Mauch-Mani et al. 2017). Priming is a robust defense because it has no or minimal fitness costs in terms of growth or reproduction, and often it is transient and only activated by a stimulus (Mauch-Mani et al. 2017).
Defense priming has been observed in a wide range of plant taxa, including wild species and model organisms. Notably, experimental evidence suggests that epigenetic changes were observed following priming. Several studies have hypothesized that epigenetic changes could influence the way how plants respond to biotic and abiotic stresses (Bruce et al. 2007; Mauch-Mani et al. 2017). The general idea is that an induced defense can associate molecular, biochemical, and physiological cues with stronger and/or activated phenotypic defense mechanisms in primed versus unprimed plants (Fig 2)(Bruce et al. 2007; Mauch-Mani et al. 2017). A possible response could be in the form of DNA hypo-hyper methylation (Boyko et al. 2007; Verhoeven et al. 2010), inducing methylation of small, non-coding RNAs as the stress response.
Transgenerational defense induction denotes a change in offspring phenotype guided by the environmental signal in the parental generation. This is a form of priming spanning across two generations. To assess the transmission of a priming signal, it is important to study parental environmental effects for different offspring traits (e.g., time of germination, resource allocation, plant architecture, and chemistry, etc.) (Verhoeven and van Gurp 2012; Liza M. Holeski et al. 2012). Plants in each generation can face combinations of different environmental challenges or stress and can often increase the resistance, growth, and reproduction success of their offspring under similar conditions (Karban et al. 1999; Herman and Sultan 2011).
A recent meta-analysis suggested that transgenerational transmission is also influenced by the developmental stage of parental and offspring during stress exposure, such that the transgenerational effect is stronger if the stress was experienced during the early development of the parental plants (Yin et al. 2019). Stress-relevant features like stress occurrence and its predictability in the parental environment can enhance the defense in offspring for the same stress and thus transmit as transgenerational defense (Yin et al. 2019). For example, Arabidopsis thaliana plants showed enhanced performance when exposed to single parental stress treatment (temperature shock or clipping), but not when two different treatments were combined, suggesting that environmental complexity is an important driver of efficient transgenerational defense (Lampei 2019).
Current studies reported that the transgenerational transmission of stress defense includes specific growth variations that are functionally adaptive to the parental conditions, but there are strong differences between the typical laboratory conditions to the complex environment of natural plant populations (Herman and Sultan 2011). However, first evidence exists that the required predictable environmental conditions for the selection of transgenerational effects indeed exist in nature. Lampei et al. (2017) showed in a recent study with a Mediterranean annual plant that winter precipitation predicted the following winter's seedling densities. In order to reduce competition in the offspring generation (avoidance strategy), plants from high water treatments reduced offspring germination (stronger seed dormancy) proportional to the long-term correlation between precipitation and the following winter's seedling density (Lampei et al. 2017). This example demonstrates the high complexity of the natural environments in which the plants live, but at the same time, it also demonstrates how seemingly random and very noisy variables, such as weather, can produce strong environmental correlations between generations that select for transgenerational plasticity.
But how does the transgenerational defense transmission work on the molecular scale? There are several possible mechanisms, including components of seed provisioning. But epigenetic mechanisms are often indicated as one of the most significant underlying mechanisms of transgenerational stress response (Boyko and Kovalchuk 2010; Luna et al. 2012). There are three major reasons supporting this suggestion.
The state of epigenetic modifications can be heritably transmitted, it is principally reversible, and the transition can take place rapidly (see Chapters 6, 7, and 8).
Epigenetic modifications are known to shape ecologically meaningful traits that also could be stably inherited. For example, histone modifications have been reported to be responsible for priming and transgenerational plant defense (Bej & Basak 2017; Jablonka and Raz 2009).
Epigenetic modifications can keep the memory potentially for a longer time than other types of transgenerational phenotype transmitters, such as components of seed provisioning.
Therefore, it is not unlikely that epigenetic modifications play a role also in the phenotype transition to the next generation. For a more detailed discussion of the molecular transmission of transgenerational plant defenses, refer to Chapter 1.
Deciphering the role of epigenetics for plant stress response has started with model species and only recently included species with different life-history. This is a challenging step that requires continuous improvement of molecular tools and collaboration among molecular geneticists, ecologists, and bioinformaticians. Experimental studies in plants with distinctive genomic and ecological features could contribute to understanding epigenetic responses to stress in terms of molecular and phenotypic changes. We need to extend the study by associating the role of stress-relevant features towards the stability of epigenetic marks for both priming and transgenerational defense using suitable tools. In order to get an approximate overview, I screened the literature studies for epigenetic contribution for explaining biotic and abiotic stress response of plants without attempting to cover all literature available. In ISI Web of Science (www.webofknowledge.com), I conducted a search for the articles published in English between 1990 and 2020 (last accessed 17th January 2020) using the following keywords combination [(plant stress) AND (epigenet*)] that gave us 1281 results on abiotic and biotic stress studies. Adding the keyword [AND (abiotic)/ AND (biotic)], the search retained 377 abiotic studies and 164 biotic studies, respectively, that also contained the keyword epigenetics, which does not mean that these studies identified correlating or causative epigenetic mechanisms for plant defense. Although the numbers of studies are increasing for the two types of stress events, there is also huge inadequacy of these studies with non-model plants due to several experimental shortcomings. In the following, I outline the most important gaps which are still understudied and where we still need to establish the proper relation of epigenetic contribution to plant defense strategies.
First and foremost, the representation of diverse plant species in epigenetic studies of plant stress responses is important as most of the existing knowledge is based on studies conducted using model systems or cultivated plants that tend to be plants with a fast life-cycle. To gain generality in ecological settings, we need to study more non-model species with different life histories that can explain the phenotypic consequences and the epigenetic contribution to different stress responses.
The most studied epigenetic mechanism in plants is DNA methylation, though others like SmallRNA and histones are increasing in frequency. However, while for DNA methylation, reduced representation methods like provide the means to conduct large-scale ecological studies, such methods are mostly non-existent in other epigenetic contexts. This makes it often difficult to study more than DNA methylation in such projects or in plants with large and polyploid genomes.
A prevailing gap includes the lack of measures to untangle genetic and epigenetic contribution as ecological studies are often focused on collections from natural populations in situ. Ecological relationships should be evaluated across environmental gradients to gain an overview of the stress response, paired with an analysis of spatial genetic and epigenetic structure in the wild populations to understand the respective contribution (Herrera, Medrano, et al. 2012).
The link between epigenetic regulators (e.g., DNA methylation, histone modifications, and small RNAs) is often missing in current projects. However, it is often indispensable to understand the mechanisms of both the biotic and the abiotic stress response. This is because the cross-talks between epigenetic regulators themselves may have a role in gene expression (Grativol et al. 2012). More synthesis studies are needed to connect the dots in plant stress response by understanding the cross-talk of significant epigenetic regulators.
Preceding frequent abiotic stress can acclimatize plants by inducing a change in the epigenetic state, and the persistence of the induced state can be plastic. The epigenetic regulation of the abiotic stress response is complex in nature and could be interlinked with genetic networks or can be an independent event. From literature, we could observe a gap in in-depth studies conducted in natural populations. Most studies are done in artificial environments with model plants or cultivars. Reviews by Bej and Basak (2017) and Li et. al (2017) combined the information on abiotic factors and the contribution of different epigenetic mechanisms for different species (Bej & Basak 2017; Li et al. 2017). In the natural environment, plants are exposed to many abiotic stresses such as salinity, drought, temperature, heavy metals. Epigenetic control of stress-responsive mechanisms was observed in several plant species under various abiotic stress conditions, such as extreme temperatures (Ding et al. 2019), drought (Huang et al. 2019), salinity (Yang and Guo 2018), herbivory, and pathogen (Holeski 2007). For example, increased salinity was associated with DNA methylation changes, histone acetylation, methylation, and phosphorylation in species like rice, Arabidopsis thaliana, tobacco, and mangrove plants (Kim et al. 2015).
In Arabidopsis thaliana, histone modifications are involved in the drought stress response (Kim et al. 2015). For heat stress, DNA methylation differed between heat-sensitive and heat-tolerant genotypes in rapeseed (Gao et al.). And in forest trees (Cork oak), an interplay between DNA methylation and H3 acetylation was observed at elevated temperatures (Correia et al. 2013). Also, cold stress response in A. thaliana and maize affect DNA methylation and histone acetylation (Steward et al. 2002). An interesting example was recently reported by Song et al. (2015), who found that the alpine subnival plant Chorispora bungeana revealed DNA methylation changes that correlated with the exposure to chilling and freezing. Notably, several of the candidate genes were related to physiological chilling and freezing resistance pathways (Song et al. 2015). In summary, induced plant response following abiotic stress seems to be closely related to epigenetic mechanisms that even take an active role in the acclimatization to changing environmental conditions.
Table 1: List of epigenetic modifications reported for abiotic stress:
Prior exposure to biotic stresses has been reported to have improved the defense response of plants. Studies on this topic have a similar bias towards Arabidopsis and cultivated plants as studies on abiotic stress. Reviews by Alonso et al. (2018) and Mauch-Mani et al. (2017) combined the information on biotic interactions and the epigenetic contribution in the response for several plant species (Alonso, Ramos‐Cruz et al. 2019; Mauch-Mani et al. 2017).
In the natural environment, plants encounter biotic stress like the occurrence of herbivores, parasites, and pathogens, or the absence of symbiotic partners, and competition with other plants, and hence plant defense response has coevolved with the evolution of interacting species and consequently developed diverse strategies of plant defense mechanisms (Karban et al. 1999; Holeski et al. 2012). These strategies have provided plant fitness benefits against stressors, e.g., herbivore damage (Baldwin et al. 1998). Priming and somatic memory to stress, like the exposure to a pathogen, has been repeatedly reported in correlation with epigenetic changes (Lämke and Bäurle 2017). The task for the future, as the authors note, is to overcome "correlation" and test causation. In other words, it is yet unresolved if these epigenetic changes are actively involved in the priming response. However, a notable study by Yu et al. (2013) demonstrated that treating Arabidopsis thaliana with a peptide of bacterial origin induced the active demethylation of transposable elements (TE), which mobilized short-interfering RNAs/siRNAs and led to the transcriptional activation of genes involved in the defense against bacteria (Yu et al. 2013). The study further found that DNA demethylation negatively affected the growth of a bacterial pathogen, suggesting a close link between the two.
Table 2: List of epigenetic modification reported for biotic stress:
Components
Stress
Species
Function
References
DNA methylation
ZmMI1
Cold stress
Maize
Stress-induced non-reversible demethylation
Steward et al. 2000
Ac/Ds
Cold stress
Maize
Demethylation of transposon Ac/Ds
Steward et al. 2002
Tam 3
Low temp
Antirrhinum majus
Decrease in methylation
Hashida et al. 2006
NtGPDL
Aluminum, low temp, salt stress
Tobacco
Demethylation at coding region of gene
Choi and Sano 2007
HRS60 and GRS
Salt, osmotic stress
Tobacco
Reversible DNA hypermethylation
Kovarˇik et al. 1997
Histone modifications
AtGCN5
Cold stress
A. thaliana
Affect expression of COR genes
Stockinger et al. 2001 Vlachonasios et al. 2003
Ada2b
Freezing, salt stress
A. thaliana
Induces COR genes
Vlachonasios et al. 2003
SKB1
Salt stress
A. thaliana
Trimethylation of H4K3
Zhang et al. 2011
ABO1/ELO1
Drought stress
A. thaliana
Drought tolerance
Chen et al. 2006
ADH1 and PDC1
Submergence stress
Rice
Histone modifications of H3
Tsuji et al. 2006
HD6
Freezing stress
A. thaliana
Upregulation confer tolerance
To et al. 2011
HOS15
Cold stress
A. thaliana
Deacetylation of histone H4
Zhu et al. 2008
HDA6
Drought stress,cold
A. thaliana
Deacetylation
Kim et al. 2017 Jung et al. 2013
HDA9
Drought and salinity
A. thaliana
Deacetylation
Zheng et al. 2016
HDA15
Drought
A. thaliana
Deacetylation
Lee and Seo 2019)
HDA19
Drought, heat, salinity
A. thaliana
Deacetylation
Ueda et al. 2018a Chen and Wu 2010 Mehdi et al. 2016 Ueda et al. 2017
HDA705
Salinity
Rice
Deacetylation
Zhao et al. 2016
BdHD1
Drought
Brachypodium
Deacetylation
Song et al. 2019
ATX4/5
Drought
A. thaliana
Methyltransferase
Liu et al. 2018)
CAU1/PRMT5/SKB1
Drought and salinity
A. thaliana
Methyltransferase
Fu et al. 2013 Zhang et al. 2011
JMJ15
Salinity
A. thaliana
Demethylase
Shen et al. 2014
JMJ17
Dehydration
A. thaliana
Demethylase
Huang et al. 2019
JMJ15
Salinity
A. thaliana
Demethylase
Shen et al. 2014
JMJ17
Dehydration
A. thaliana
Demethylase
Huang et al. 2019
Small RNA
miR398
oxidative stress-causing agents such as high light levels, Cu2+, Fe3+ and methyl viologen
A. thaliana
posttranscriptional CSD1 and CSD2 mRNA accumulation and oxidative stress tolerance
Sunkar et al. 2007
miR393
Cold, dehydration, NaCl, and ABA stress
A. thaliana
miR393 is strongly upregulated by mentioned treatments
Sunkar and Zhu 2004
Components
Stress
Species
Function
References
Type of plasticity
DNA methylation
Bacterial infection, chemical stressors
A. thaliana
PR1 Promotor
Slaughter et al. 2012
Intra-generational
DNA methylation
Bacterial pathogen, avirulent bacteria, or
A. thaliana
Constitutively overexpress PR1
Dowen et al. 2012
Trans-generational
DNA methylation
Bacterial pathogen Pseudomonas syringae
A. thaliana
Basal- and/or flg22-induced expression of several MAMP-responsive NLRs was enhanced
Yu et al. 2013
Intra-generational
H3K27me3,DNA methylation
Bacterial infection
A. thaliana
DNA methylation
Luna et al. 2012
Trans-generational
DNA methylation
Tobacco mosaic virus (TMV)
Tobacco
Hypomethylation at the NtAlix1 locus
Wada et al. 2004
Intra-generational
DNA methylation
RNA virus
Tomato
SiRNA-mediated methylation
Bian et al. 2006
Intragenerational
RNA silencing/DNA methylation
Cucumber mosaic virus (CMV)‐
Petunia
Targeting dsRNA to the promoter,
Kanazawa et al. 2011
Trans-generational
DNA methylation
Caterpillar herbivory
A. thaliana & Tomato
NRPD2A, NRPD2B,DCL2/DCL3/DCL4
Rasmann et al. 2012
Trans-generational
Small RNA
Leaves treated with bacterial flagellin 22
A. thaliana
MiR393 that negatively regulates messenger RNAs for the F-box auxin receptors TIR1, AFB2, and AFB3, flagellin increases resistance to the bacterum
Navarro et al. 2006
no information
chromatin Remodeling
Pseudomonas syringae infection
A. thaliana
SNI1 (SUPRESSOR OF NPR1, INDUCIBLE)
Durrant, Wang, and Dong 2007
histone methylation
Pseudomonas syringae infection
A. thaliana
EMBRYONIC FLOWER 1 and 2
Kim, Zhu, and Renee Sung 2010
Intragenerational
histone methylation
A. brassicicola and B. cinerea infections
A. thaliana
Histone methyltransferase SET DOMAIN GROUP8
Berr et al. 2010
trans-generational
histone deacetylation
Pseudomonas syringae infection
A. thaliana
HDA19
Choi et al. 2012
Understanding the within- and inter-generation plant defense response through epigenetics requires the combined analyses of diverse species, their functional phenotypes, and the associated epigenetic variation. This chapter simultaneously shows the significance of epigenetics and the dire necessity of new studies that also should be conducted long-term with diverse species under conditions better matching the plant's natural environment to observe an ecologically more meaningful plant defense response. I also show that low genomic resolution has hindered the investigation of the correlation between ecological factors and epigenetic mechanisms in non-model organisms.
Furthermore, to have complete knowledge of underlying mechanisms, it is compulsory to have a collaboration between ecologists and molecular biologists to develop a proper toolkit. Following these recommendations, it should be possible to unravel the combined contribution of genetic and epigenetic variation to the expression of phenotypes and contribute to filling current knowledge gaps.
In a natural setting, plants are exposed to a complex environment, often with multiple stress conditions, and thus, to simulate ecological realism, we should have more than one stress factor in experimental design (see Lampei 2019). To study plant stress response, it is important to establish the causal links between epigenetic variation and phenotypes, as well the interference of genetic and epigenetic variation. Thus, one challenge lies in identifying the relevance of epigenetic factors for modulating the phenotypic response to specific stress factors. To this aim, it may be beneficial to include plant species with different life histories and genomic features. A few approaches have been reported by which epigenetic variation can be potentially measured for larger populations in an ecological setting.
Where possible, experiments should include several genetically divergent lines or diverse natural populations from one species. Single line, or genotype, experiments may provide very detailed information but lack generality of conclusion. Often, repeating the experiment with another genotype of the same species yields different results. This is not only true for epigenetic experiments but even more important in these because of frequent interactions with the genomic background. However, the enhanced generality comes with an increased complexity of the study. Therefore, epigenetic studies should preferably be conducted in ecological settings that control genotypic variability. For example, non-model species or natural populations that contain a low level of genetic diversity and reproduce asexually like, for instance, clonal plants, provide these properties (Richards, Bossdorf, et al. 2010).
Another approach is to study outcrossed species by evaluating both the DNA sequence and DNA methylation profiles of individuals using statistical approaches to understand the relation of genetic and epigenetic variation (Herrera and Bazaga 2011; Schulz et al. 2019). As the field is still developing for non-model species, we must be aware of the trade-off between the depth/resolution of functional information and cost-effectiveness. Following experimental methods to study epigenetic inheritance could help to fill the gaps in the field (Bossdorf et al. 2008).
Experimental method
An interesting option is the use of inhibitors for epigenetic factors such as the DNA methyltransferases (e.g., 5-azacytidine, zebularine) or histone deacetylases (e.g., Trichostatin). Together with knockout mutants, experimental demethylation can be used to establish the link between epigenetic factors and phenotypic response. However, this method has disadvantages in the first place because it is not targeted and reduces DNA methylation scattered across the genome so that connections between phenotype and methylation can be made, but it is often difficult to identify the specific methylation changes that were involved in the response.
The study should choose the molecular mechanisms that are confirmatory and cost-effective to study epigenetics in natural populations. For example, for evaluating the methylation status, Reduced Representation Bisulfite Sequencing methods (RRBS) can also work without the availability of a high-quality genome (Niederhuth and Schmitz 2017), and it is cost-effective. This is a very nice option for studying methylation in non-model species. However, we need more methods with such criteria for studying other epigenetic factors. Quantitative genetics mapping approaches such as Epigenome-wide association studies (EWAS) can be another method to study the approximate genetic and epigenetic associations with the phenotype (Kreutz et al. 2020).
Anupoma Niloya Troyee
As sessile organisms of divergent life-history, plants are constantly exposed to a wide range of environmental fluctuations of abiotic conditions (e.g., temperature, drought, precipitation, nutrients) and biotic interactions (e.g., herbivory, pest, mycorrhiza) that can affect their growth, reproduction, and survival. When fluctuations of abiotic or biotic factors become extreme, plants experience stress, and their responses vary across life history, traits, and environmental context. Both for ecology and plant breeding/cultivation, it has become important to understand the means of plant stress responses because changes in plant productivity affect both biodiversity and agriculture. Natural populations can show differences in performance when they are exposed to changes in environmental conditions, partly because of their genetic variation but also because of their epigenetic variation. A general overview of the different types of plant stress factors, their physiological effects, and individual plant defense response mechanisms to overcome their impacts have been previously reported mainly for model and crop species (Mosa et al. 2017; Liza M. Holeski et al. 2012). In earlier chapters, we have discussed phenotypic plasticity and life-history traits in a more general way. In this chapter, we focus on the plant defense response to stresses from the viewpoint of epigenetics in order to understand the full depiction of the plant defense response.
Understanding the role of epigenetic regulation in plant stress responses in the ecological context of natural populations has been a topic that received wide attention in ecological research (Thiebaut et al. 2019; Richards, Alonso, et al. 2017). For untangling the contribution of genotypes and epigenotypes to the stress response in natural populations, our current knowledge needs to be improved by conferring the epigenetic contribution to different types of stress that involves plant phenotypic variation in key traits of populations (Balao et al. 2018). For example, the diversity of life history (reported in Chapter 2) plays a role in the epigenetic regulation of plant stress responses for species with different longevities (annual, perennial, long-lived, etc.) and type of reproduction (sexual, asexual) (Alonso, Medrano et al. 2019). However, to date, the adaptive and evolutionary importance of epigenetic variation in terms of the plant stress response has only rarely been addressed. The incorporation of epigenetics for understanding the plant defense response is only starting (Balao et al. 2018). Different key traits, analysis of varied plant tissue types (root, leaf, bud, etc.), stress relevant features, and 'epiphenotypes' along with DNA sequence information should be analyzed to have more empirical information, which is needed to comprehend plant defense response in natural populations.
In natural plant populations, the most relevant features of environmental stress are the stress intensity, the occurrence frequency, and its predictability, as they will determine the most successful defense strategy to overcome its negative impact on plant performance. These features are properties of the natural environment of a population and are usually not taken into consideration in studies with model species. The defense strategies that plants can develop in nature after multidimensional biotic and abiotic stress exposure are highly related to the environments in which they live. In general, the intensity and frequency of stress factors tend to be inversely correlated, and the defense strategy is most likely selected by the dominant stress features the plants experience (derived from Grativol et al. 2012 and Walter et al. 2013). Further, the predictability of stress or the reliability of the environmental cue is important that plants can prepare a suitable plastic response, either within- or across generations (Reed et al. 2010). And, at which stage of lifespan a cue is received may also dictate the response strategy for different stresses. Studies suggested that when the environmental cue is persistent, plants also show stress-induced or environmentally induced defense mediated by epigenetic variation that could be transmitted over generations (Mauch-Mani et al. 2017). Both within and across generations, the stability of phenotypic responses depends on the degree and the predictability of environmental variation and on the (epi)genetic architecture (Herman et al. 2014). Therefore, the defense strategies of plants are selected according to the particular stress features in their natural environment, and they are specific for individuals or populations within a species and can also differ from species to species.
Plants use stress features as cues to fine-tune their defense responses so that they can minimize detrimental effects on plant fitness (Brown and Rant 2013). We can describe three general ways a plant can respond in accordance to the frequency and intensity of the stress: tolerance, avoidance, and induced defense (Walter et al. 2013; Grativol et al. 2012) (Fig 1).
i) Induced defense: Plants show enhanced activation of induced defense when the intensity of stress is low but is encountered more frequently. Under such circumstances, plant performance will be higher if they have a plastic and reversible defense mechanism and, through prior frequent stress cues, an improved responsiveness or priming/acclimation (Fig 1). This means plants acquire this kind of defense by receiving frequent stimuli from pathogens, arthropods, chemicals, and abiotic cues that can trigger the establishment of priming (Mauch-Mani et al. 2017).
ii) Tolerance: Plants can show a neutral response of tolerance or a constitutive strategy where plants perform uniformly (same fitness and reproduction) regardless of the intensity and the frequency of stress occurrence. e.g., exposure to heavy metals or a high concentration of salts select plants with higher tolerance against that specific factor (Yaish 2013).
iii) Avoidance: Plants show avoidance or an escape strategy only during less frequent stress events of strong intensity because this strategy is usually associated with high costs. For example, fires, flooding, or complete defoliation events often favor avoidance by re-sprouting from below-ground shoots (Boyko & Kovalchuk 2008, "Epigenetic Control of Plant Stress Response"; Gong and Zhang, 2014).
Otherwise, plants also can have negative responses or damage after stress and eventually can suffer greater damage or even complete collapse when stress is recurrent.
Fig 1. Schematic representation of the relationship between plant performance and stress frequency and intensity according to the three plant defense strategies explained within the text. The two axes are continuous and relative. The X-axis denotes the usually inverse relationship between frequency and intensity for any given stress factor, and the Y-axis denotes plant performance, with zero being the average performance for the standard conditions at a certain environment. The dashed-dotted, straight, and dashed lines indicate the induced, the tolerance, and the avoidance plant defense strategy, respectively.
This ability of the immobile plants to survive under fluctuating conditions is sometimes aided by epigenetic mechanisms that can store information at a potentially low cost (Boyko & Kovalchuk 2008, "Epigenetic Control of Plant Stress Response"; Kranner et al. 2010; Grativol et al. 2012). Epigenetic regulation involves histone variants, histone post-translational modifications, small RNA, and DNA methylation that together alter the chromatin structure and determine changes in individual phenotypes without changing the DNA sequence. In plants, methylation of the 5th carbon of the DNA nuclein base cytosine (DNA methylation hereafter) is found within three sequence contexts along the genome: CG, CHG (H = A, T, C), and CHH. DNA methylation regulates the activation and movement of transposable elements and the expression of genes (see Chapter 6 for details). Furthermore, different histones (H2A, H2B, H3, and H4) can be covalently modified at different positions (mostly lysine and arginine residues) by different chemical marks (see Chapter 7 for details). Finally, small regulatory RNAs (sRNAs; approximately 21–24 nt in size, see Chapter 8 for details) also have emerged as important regulators of gene expression. The main aim of this chapter is to review how these epigenetic factors can contribute to the plants' stress responses and discuss how to fill the gaps in our current understanding, as well as how to untangle the genetic and epigenetic contributions.
Alonso, C., Medrano, M., Pérez, R., Bazaga, P., & Herrera, C. M. (2017). Tissue-specific response to experimental demethylation at seed germination in the non-model herb Erodium cicutarium. Epigenomes, 1(3), 16.
Alonso, C., Medrano, M., Pérez, R., Canto, A., Parra‐Tabla, V., & Herrera, C. M. (2019). Interspecific variation across angiosperms in global DNA methylation: phylogeny, ecology and plant features in tropical and Mediterranean communities. New Phytologist, 224(2), 949-960.
Alonso, C., Ramos‐Cruz, D., & Becker, C. (2019). The role of plant epigenetics in biotic interactions. New Phytologist, 221(2), 731-737.
Balao, F., Paun, O., & Alonso, C. (2018). Uncovering the contribution of epigenetics to plant phenotypic variation in Mediterranean ecosystems. Plant Biology, 20, 38-49.
Baldwin, I. T. (1998). Jasmonate-induced responses are costly but benefit plants under attack in native populations. Proceedings of the National Academy of Sciences, 95(14), 8113-8118.
Bej, S., & Basak, J. (2017). Abiotic stress induced epigenetic modifications in plants: How much do we know? In Plant epigenetics (pp. 493-512). Springer, Cham.
Berr, A., McCallum, E. J., Alioua, A., Heintz, D., Heitz, T., & Shen, W. H. (2010). Arabidopsis histone methyltransferase SET DOMAIN GROUP8 mediates induction of the jasmonate/ethylene pathway genes in plant defense response to necrotrophic fungi. Plant physiology, 154(3), 1403-1414.
Bian, X. Y., Rasheed, M. S., Seemanpillai, M. J., & Rezaian, M. A. (2006). Analysis of silencing escape of tomato leaf curl virus: an evaluation of the role of DNA methylation. Molecular plant-microbe interactions, 19(6), 614-624.
Bossdorf, O., Richards, C. L., & Pigliucci, M. (2008). Epigenetics for ecologists. Ecology letters, 11(2), 106-115.
Boyko, A., & Kovalchuk, I. (2008). Epigenetic control of plant stress response. Environmental and molecular mutagenesis, 49(1), 61-72.
Boyko, A., & Kovalchuk, I. (2010). Transgenerational response to stress in Arabidopsis thaliana. Plant signaling & behavior, 5(8), 995-998.
Boyko, A., Kathiria, P., Zemp, F. J., Yao, Y., Pogribny, I., & Kovalchuk, I. (2007). Transgenerational changes in the genome stability and methylation in pathogen-infected plants: (Virus-induced plant genome instability). Nucleic acids research, 35(5), 1714-1725.
Brown, J. K. M., & Rant, J. C. (2013). Fitness costs and trade‐offs of disease resistance and their consequences for breeding arable crops. Plant Pathology, 62, 83-95.
Bruce, T. J., Matthes, M. C., Napier, J. A., & Pickett, J. A. (2007). Stressful “memories” of plants: evidence and possible mechanisms. Plant science, 173(6), 603-608.
Chen, Z., Zhang, H., Jablonowski, D., Zhou, X., Ren, X., Hong, X., ... & Gong, Z. (2006). Mutations in ABO1/ELO2, a subunit of holo-Elongator, increase abscisic acid sensitivity and drought tolerance in Arabidopsis thaliana. Molecular and cellular biology, 26(18), 6902-6912.
Choi, C. S., & Sano, H. (2007). Abiotic-stress induces demethylation and transcriptional activation of a gene encoding a glycerophosphodiesterase-like protein in tobacco plants. Molecular Genetics and Genomics, 277(5), 589-600.
Choi, S. M., Song, H. R., Han, S. K., Han, M., Kim, C. Y., Park, J., ... & Noh, B. (2012). HDA19 is required for the repression of salicylic acid biosynthesis and salicylic acid‐mediated defense responses in Arabidopsis. The Plant Journal, 71(1), 135-146.
Correia, B., Valledor, L., Meijon, M., Rodriguez, J. L., Dias, M. C., Santos, C., ... & Pinto, G. (2013). Is the interplay between epigenetic markers related to the acclimation of cork oak plants to high temperatures?. PLoS One, 8(1), e53543.
Ding, Y., Shi, Y., & Yang, S. (2019). Advances and challenges in uncovering cold tolerance regulatory mechanisms in plants. New Phytologist, 222(4), 1690-1704.
Dowen, R. H., Pelizzola, M., Schmitz, R. J., Lister, R., Dowen, J. M., Nery, J. R., ... & Ecker, J. R. (2012). Widespread dynamic DNA methylation in response to biotic stress. Proceedings of the National Academy of Sciences, 109(32), E2183-E2191.
Durrant, W. E., Wang, S., & Dong, X. (2007). Arabidopsis SNI1 and RAD51D regulate both gene transcription and DNA recombination during the defense response. Proceedings of the National Academy of Sciences, 104(10), 4223-4227.
Gao, G., Li, J., Li, H., Li, F., Xu, K., Yan, G., ... & Wu, X. (2014). Comparison of the heat stress induced variations in DNA methylation between heat-tolerant and heat-sensitive rapeseed seedlings. Breeding science, 64(2), 125-133.
Gong, B., & Zhang, G. (2014). Interactions between plants and herbivores: a review of plant defense. Acta Ecologica Sinica, 34(6), 325-336.
Grativol, C., Hemerly, A. S., & Ferreira, P. C. G. (2012). Genetic and epigenetic regulation of stress responses in natural plant populations. Biochimica et Biophysica Acta (BBA)-Gene Regulatory Mechanisms, 1819(2), 176-185.
Hashida, S. N., Uchiyama, T., Martin, C., Kishima, Y., Sano, Y., & Mikami, T. (2006). The temperature-dependent change in methylation of the Antirrhinum transposon Tam3 is controlled by the activity of its transposase. The Plant Cell, 18(1), 104-118.
Herman, J. J., & Sultan, S. E. (2011). Adaptive transgenerational plasticity in plants: case studies, mechanisms, and implications for natural populations. Frontiers in plant science, 2, 102.
Herman, J. J., Spencer, H. G., Donohue, K., & Sultan, S. E. (2014). How stable ‘should’epigenetic modifications be? Insights from adaptive plasticity and bet hedging. Evolution, 68(3), 632-643.
Herrera, C. M., & Bazaga, P. (2011). Untangling individual variation in natural populations: ecological, genetic and epigenetic correlates of long‐term inequality in herbivory. Molecular ecology, 20(8), 1675-1688.
Herrera, C. M., Medrano, M., & Bazaga, P. (2016). Comparative spatial genetics and epigenetics of plant populations: heuristic value and a proof of concept. Molecular Ecology, 25(8), 1653-1664.
Holeski, L. M. (2007). Within and between generation phenotypic plasticity in trichome density of Mimulus guttatus. Journal of evolutionary biology, 20(6), 2092-2100.
Holeski, L. M., Jander, G., & Agrawal, A. A. (2012). Transgenerational defense induction and epigenetic inheritance in plants. Trends in ecology & evolution, 27(11), 618-626.
Huang, S., Zhang, A., Jin, J. B., Zhao, B., Wang, T. J., Wu, Y., ... & Xu, Z. Y. (2019). Arabidopsis histone H3K4 demethylase JMJ 17 functions in dehydration stress response. New Phytologist, 223(3), 1372-1387.
Huang, S., Zhang, A., Jin, J. B., Zhao, B., Wang, T. J., Wu, Y., ... & Xu, Z. Y. (2019). Arabidopsis histone H3K4 demethylase JMJ 17 functions in dehydration stress response. New Phytologist, 223(3), 1372-1387.
Jablonka, E., & Raz, G. (2009). Transgenerational epigenetic inheritance: prevalence, mechanisms, and implications for the study of heredity and evolution. The Quarterly review of biology, 84(2), 131-176.
Kanazawa, A., Inaba, J. I., Shimura, H., Otagaki, S., Tsukahara, S., Matsuzawa, A., ... & Masuta, C. (2011). Virus‐mediated efficient induction of epigenetic modifications of endogenous genes with phenotypic changes in plants. The Plant Journal, 65(1), 156-168.
Karban, R., Agrawal, A. A., Thaler, J. S., & Adler, L. S. (1999). Induced plant responses and information content about risk of herbivory. Trends in Ecology & Evolution, 14(11), 443-447.
Kim, J. M., Sasaki, T., Ueda, M., Sako, K., & Seki, M. (2015). Chromatin changes in response to drought, salinity, heat, and cold stresses in plants. Frontiers in plant science, 6, 114.
Kim, S. Y., Zhu, T., & Sung, Z. R. (2010). Epigenetic regulation of gene programs by EMF1 and EMF2 in Arabidopsis. Plant Physiology, 152(2), 516-528.
Kovar˘ik, A., Koukalová, B., Bezde˘k, M. et al. (1997). Hypermethylation of tobacco heterochromatic loci in response to osmotic stress. Theor Appl Genet 95, 301–306.
Kranner, I., Minibayeva, F. V., Beckett, R. P., & Seal, C. E. (2010). What is stress? Concepts, definitions and applications in seed science. New Phytologist, 188(3), 655-673.
Kreutz, C., Can, N. S., Bruening, R. S., Meyberg, R., Mérai, Z., Fernandez-Pozo, N., & Rensing, S. A. (2020). A blind and independent benchmark study for detecting differentially methylated regions in plants. Bioinformatics, 36(11), 3314-3321
Lämke, J., & Bäurle, I. (2017). Epigenetic and chromatin-based mechanisms in environmental stress adaptation and stress memory in plants. Genome biology, 18(1), 1-11.
Lampei, C. (2019). Multiple simultaneous treatments change plant response from adaptive parental effects to within‐generation plasticity, in Arabidopsis thaliana. Oikos, 128(3), 368-379.
Lampei, C., Metz, J., & Tielbörger, K. (2017). Clinal population divergence in an adaptive parental environmental effect that adjusts seed banking. New Phytologist, 214(3), 1230-1244
Li, S., Castillo‐González, C., Yu, B., & Zhang, X. (2017). The functions of plant small RNA s in development and in stress responses. The Plant Journal, 90(4), 654-670.
Luna, E., Bruce, T. J., Roberts, M. R., Flors, V., & Ton, J. (2012). Next-generation systemic acquired resistance. Plant physiology, 158(2), 844-853.
Mauch-Mani, B., Baccelli, I., Luna, E., & Flors, V. (2017). Defense priming: an adaptive part of induced resistance. Annual review of plant biology, 68, 485-512.
Mosa, K. A., Ismail, A., & Helmy, M. (2017). Introduction to plant stresses. In Plant stress tolerance (pp. 1-19). Springer, Cham.
Niederhuth, C. E., & Schmitz, R. J. (2017). Putting DNA methylation in context: from genomes to gene expression in plants. Biochimica et Biophysica Acta (BBA)-Gene Regulatory Mechanisms, 1860(1), 149-156.
Rasmann, S., De Vos, M., Casteel, C. L., Tian, D., Halitschke, R., Sun, J. Y., ... & Jander, G. (2012). Herbivory in the previous generation primes plants for enhanced insect resistance. Plant physiology, 158(2), 854-863.
Reed, T. E. et al. (2010). Phenotypic plasticity and population viability: the importance of environmental predictability. Proc. R. Soc. B 277: 3391–400.
Richards, C. L., Alonso, C., Becker, C., Bossdorf, O., Bucher, E., Colomé‐Tatché, M., ... & Verhoeven, K. J. (2017). Ecological plant epigenetics: Evidence from model and non‐model species, and the way forward. Ecology letters, 20(12), 1576-1590.
Richards, C. L., Bossdorf, O., & Verhoeven, K. J. (2010). Understanding natural epigenetic variation. New Phytologist, 187(3), 562-564.
Schulz, B., Eckstein, R. L., & Durka, W. (2014). Epigenetic variation reflects dynamic habitat conditions in a rare floodplain herb. Molecular ecology, 23(14), 3523-3537.
Shen, Y., Conde e Silva, N., Audonnet, L., Servet, C., Wei, W., & Zhou, D. X. (2014). Over-expression of histone H3K4 demethylase gene JMJ15 enhances salt tolerance in Arabidopsis. Frontiers in plant science, 5, 290.
Slaughter, A., Daniel, X., Flors, V., Luna, E., Hohn, B., & Mauch-Mani, B. (2012). Descendants of primed Arabidopsis plants exhibit resistance to biotic stress. Plant physiology, 158(2), 835-843.
Song, Y., Liu, L., Feng, Y., Wei, Y., Yue, X., He, W., ... & An, L. (2015). Chilling-and freezing-induced alterations in cytosine methylation and its association with the cold tolerance of an alpine subnival plant, Chorispora bungeana. PLoS One, 10(8), e0135485.
Steward, N., Ito, M., Yamaguchi, Y., Koizumi, N., & Sano, H. (2002). Periodic DNA methylation in maize nucleosomes and demethylation by environmental stress. Journal of Biological Chemistry, 277(40), 37741-37746.
Steward, N., Ito, M., Yamaguchi, Y., Koizumi, N., & Sano, H. (2002). Periodic DNA methylation in maize nucleosomes and demethylation by environmental stress. Journal of Biological Chemistry, 277(40), 37741-37746.
Steward, N., Kusano, T., & Sano, H. (2000). Expression of ZmMET1, a gene encoding a DNA methyltransferase from maize, is associated not only with DNA replication in actively proliferating cells, but also with altered DNA methylation status in cold-stressed quiescent cells. Nucleic acids research, 28(17), 3250-3259.
Stockinger, E. J., Mao, Y., Regier, M. K., Triezenberg, S. J., & Thomashow, M. F. (2001). Transcriptional adaptor and histone acetyltransferase proteins in Arabidopsis and their interactions with CBF1, a transcriptional activator involved in cold-regulated gene expression. Nucleic acids research, 29(7), 1524-1533.
Sunkar, R., & Zhu, J. K. (2004). Novel and stress-regulated microRNAs and other small RNAs from Arabidopsis. The Plant Cell, 16(8), 2001-2019.
Sunkar, R., Chinnusamy, V., Zhu, J., & Zhu, J. K. (2007). Small RNAs as big players in plant abiotic stress responses and nutrient deprivation. Trends in plant science, 12(7), 301-309.
Thiebaut, F., Hemerly, A. S., & Ferreira, P. C. G. (2019). A role for epigenetic regulation in the adaptation and stress responses of non-model plants. Frontiers in Plant Science, 10, 246.
Verhoeven, K. J., & van Gurp, T. P. (2012). Transgenerational effects of stress exposure on offspring phenotypes in apomictic dandelion. PloS one, 7(6), e38605.
Verhoeven, K. J., Jansen, J. J., Van Dijk, P. J., & Biere, A. (2010). Stress‐induced DNA methylation changes and their heritability in asexual dandelions. New Phytologist, 185(4), 1108-1118.
Vlachonasios, K. E., Thomashow, M. F., & Triezenberg, S. J. (2003). Disruption mutations of ADA2b and GCN5 transcriptional adaptor genes dramatically affect Arabidopsis growth, development, and gene expression. The Plant Cell, 15(3), 626-638.
Wada, Y., Miyamoto, K., Kusano, T., & Sano, H. (2004). Association between up-regulation of stress-responsive genes and hypomethylation of genomic DNA in tobacco plants. Molecular Genetics and Genomics, 271(6), 658-666.
Walter, J., Jentsch, A., Beierkuhnlein, C., & Kreyling, J. (2013). Ecological stress memory and cross stress tolerance in plants in the face of climate extremes. Environmental and Experimental Botany, 94, 3-8.
Yaish, M. W. (2013). DNA methylation-associated epigenetic changes in stress tolerance of plants. In Molecular stress physiology of plants (pp. 427-440). Springer, India.
Yang, Y., & Guo, Y. (2018). Elucidating the molecular mechanisms mediating plant salt‐stress responses. New Phytologist, 217(2), 523-539.
Yin, J., Zhou, M., Lin, Z., Li, Q. Q., & Zhang, Y. Y. (2019). Transgenerational effects benefit offspring across diverse environments: A meta‐analysis in plants and animals. Ecology Letters, 22(11), 1976-1986.
Yu, A., Lepère, G., Jay, F., Wang, J., Bapaume, L., Wang, Y., ... & Navarro, L. (2013). Dynamics and biological relevance of DNA demethylation in Arabidopsis antibacterial defense. Proceedings of the National Academy of Sciences, 110(6), 2389-2394.
Zhang, Z., Zhang, S., Zhang, Y., Wang, X., Li, D., Li, Q., ... & Bao, S. (2011). Arabidopsis floral initiator SKB1 confers high salt tolerance by regulating transcription and pre-mRNA splicing through altering histone H4R3 and small nuclear ribonucleoprotein LSM4 methylation. The Plant Cell, 23(1), 396-411.