Epigenetics for Crop Improvement: History
Please note this is an old version of this entry, which may differ significantly from the current revision.
Contributor:

Heritable epigenetic changes can arise independently of DNA sequence alterations and have been associated with altered gene expression and transmitted phenotypic variation. By modulating plant development and physiological responses to environmental conditions, epigenetic diversity—naturally, genetically, chemically, or environmentally induced—can help optimise crop traits in an era challenged by global climate change. Beyond DNA sequence variation, the epigenetic modifications may contribute to breeding by providing useful markers and allowing the use of epigenome diversity to predict plant performance and increase final crop production

  • breeding
  • climate change
  • DNA methylation
  • epigenomics
  • memory
  • plant epigenetics
  • prediction models
  • priming
  • genetic resource
  • agronomy

1. Introduction

Based on the Paris Agreement in 2015, the United Nations agreed to limit global warming to 2.0 °C with the ambition to attempt to cap warming at 1.5 °C (UNFCCC, 2015). Greenhouse gases (GHGs) released from human activities are universally recognised as the most significant driver of shifts in climate change observed since the mid-20th century (IPCC, 2013). Agriculture, forestry, and other land uses are responsible for almost a quarter of anthropogenic GHG emissions [1], and a reduction in agriculture-derived emissions is essential for limiting global warming [2]. On the other hand, numerous studies have shown that agricultural crop production and food security is one of many sectors already affected by climate change [3][4][5]. Recent reports on the impact of climatic trends on wheat, maize, and barley yields based on new statistical and empirical models revealed a negative response of global yields to increased temperatures [6][7]. Besides global warming, biotic constraints, such as pathogens, pests, and weeds, can be detrimental to crop production worldwide. Numerous studies on different crops, such as soybean [8], have revealed the effect of pathogens, pests, and insects on annual soybean production worldwide, and on wheat and cotton, where pest attacks are responsible for damaging more than 50% or 80% of the annual production [9]. A global strategy to minimise major crop losses by optimising crop protection and resilience in response to biotic and abiotic stresses is essential for safeguarding future food availability [10]. To face these biotic and abiotic constraints, emergence for improved adaptation and selection of superior genotypes through the study of epigenetics will have a significant impact on future crop sustainability.
In eukaryotes, including plants, genomic DNA is tightly packaged into a dynamic but stable nucleoprotein complex, known as chromatin, whose conformation enables DNA accessibility and controls all DNA-based activities [11]. The primary structural unit of chromatin compaction is the nucleosome, comprising DNA wrapped around a core of eight highly conserved histone molecules. The level of nucleosome occupancy orchestrates chromatin accessibility to the transcriptional machinery and to other regulatory proteins, thus affecting gene availability for transcription. In this context, “epigenetic” can be defined as mitotically and/or meiotically heritable changes in gene function that cannot be explained by changes in DNA sequence. Then, modulators of chromatin compaction are regarded as epigenetic marks, including DNA methylation, histone modifications, chromatin remodelers, and to some extent small RNAs [12]. DNA methylation is defined by the covalent addition of a methyl group (CH3) to the fifth position of a cytosine ring (5 mC) by DNA methyltransferases without altering the DNA sequence [13][14][15]. Histone variants and post-translational modifications (PTMs) [16], such as phosphorylation, acetylation, and methylation, are essential elements of the chromatin signalling pathway. Lastly, RNA molecules are either small RNAs (small interfering RNAs-siRNAs and microRNAs-miRNAs) or long non-coding RNAs (long ncRNAs) and have been demonstrated to contribute to phenotypic changes. All these epigenetic marks are closely linked, acting together to coordinate gene activity at the transcriptional level, and regulate different cellular processes, such as DNA replication and repair, stem cell maintenance, the establishment of cell identity, and tissue and organ development and differentiation, but also responses to environmental stimuli [17]. The main benefit derived from the dynamic nature of epigenetic networks is associated with the stability and reversibility of chromatin modifications. The stability of these changes is essential for maintaining epigenetic memory (somatic memory and inter/transgenerational memory), which allows cells to maintain their identity during plant development and “remember” favourable alterations leading to a selective advantage. The reversible nature of epigenetic changes confers plasticity, enabling differentiated cells to regain totipotency, and adequately respond and adapt to internal and environmental stimuli [18].
The relevance of epigenetic regulation to crop breeding has been demonstrated, for example, by its effect on growth vigour and yield in tomato [19]. Silencing of the MutS HOMOLOG1 (MSH1) gene in tomato using RNAi results in enhanced plant growth and productivity, even in the absence of the transgene. Total fruit weight and number are increased under field conditions. In addition, under high-temperature field conditions, the MSH1-silenced line produced a higher proportion of red ripe fruits, similarly to the FLA8044 heat-tolerant cultivar. These phenotypic changes are linked to DNA methylation, as the methylation inhibitor 5-Azacytidine (5-AzaC) represses the observed phenotypes [19]. In a later study, it was shown that METHYLTRANSFERASE 1 (MET1) and HISTONE DEACETYLASE 6 (HDA6) are essential components of these changes [20]. In Arabidopsis, MSH1 mutants displayed enhanced tolerance to drought and salt stress, and increased susceptibility to freezing temperatures [21]. This example, along with various others (Table 1), highlights the link between epigenetics and multiple important traits, as well as the potential of epigenetics in crop breeding. Additional examples demonstrating the importance of epigenetic regulation of crop resilience and productivity to environmental and endogenous factors are anticipated to be uncovered in coming years.

2. From Epigenetics to Crop Improvement: Lessons from Arabidopsis and other Model Plant Species

Key advances in our understanding of plant epigenetic machinery derive from species adopted as models in plant biology, such as Arabidopsis thaliana [22], Brachypodium distachyon [23], Lotus japonicus [24], and Medicago truncatula [25][26]. Other species that represent crop models including Oryza sativa [27], Zea mays [28][29], Triticum aestivum [30], Glycine max [31], and Solanum lycopersicum [32] provide a source of valuable information about plant-specific epigenetic phenomena and regulators (Table 1). Delivering fundamental knowledge across different aspects of plant adaptability to environmental cues mediated by heritable epigenetic variance will greatly help in improving agriculturally desired developmental or stress-related crop traits (Figure 1).
Figure 1. How the development of epigenetic data and tools will lead to epi-bred crops and new varieties in the field adapted to climate change. Section to find each topic in the review is indicated. In brown are indicated data already supporting epigenetics for breeding, in blue the uses of epigenetics for crop improvement (actually under development), and in purple the post-production steps until new varieties in the field (future challenge).

3. Epigenetic Advances in Crop Improvement: Exploiting Epigenetic Diversity

3.1. Natural Epi-Alleles

Naturally occurring epi-alleles have been linked to agriculturally important plant phenotypes including morphological [33][34][35][36], developmental [37][38][39], metabolic [40][41][42], and immunity traits [43]. While the origin of these epi-alleles is not always entirely clear, many of them seem to have arisen as spontaneous epimutations [44], that is, through stochastic gain or loss of DNA methylation. In crops, examples include the spontaneous hypermethylation of the COLORLESS NON RIPENING (CNR) locus in tomato, which leads to inhibition of fruit maturation [39], or the hypomethylation of the FERTILIZATION-INDEPENDENT ENDOSPERM1 (FIE1) gene in rice, which is associated with reduced stature [35]. Because epi-alleles are often meiotically stable and independent of genetic variation, they present potential breeding or complementary editing targets for the agricultural sector [45][46]. Yet, examples of naturally occurring epialleles are rare, and it remains unclear how to harness them systematically for crop improvement. Epigenetic editing has the potential to introduce another source of variation that leads to phenotyping changes and an increased crop production, especially under environmental influence. Moreover, it is an alternative way to manipulate a gene by repressing or activating it for a long period of time. This gene expression modification without altering the DNA sequence itself does not lead to secondary, often uncontrolled effects, as in the case with a gene knock out during genome editing, and can be reversible and adjustable to environmental stimuli. Epigenome editing is more thoroughly discussed in the last part of this review.

3.2. Chemically Induced Epigenetic Diversity

A variety of chemicals capable of modifying epigenetic information have been described. Based on their function, we have categorised them into two main groups: inhibitors of DNA methyltransferases (DNMTs) and histone deacetylase inhibitors [47]. The first group consists mainly of a cytidine analogue that specifically inhibits DNA methylation by sequestering DNMTs. Once incorporated to DNA during its replication, the analogues covalently trap the DNA methyltransferases and mediate their degradation, leading to a passive loss of DNA methylation in the cell [48][49]. The most commonly used representatives are 5-AzaC and Zebularine, but there are also more stable variants [50]. The second major group consists of histone deacetylase inhibitors, which are classified into different groups such as hydroxamic acids, amino-benzamides, cyclic peptides, and short-chain fatty acids [47].
Currently, DNA demethylating compounds that can de-repress the expression of the genes with hypermethylated promoters have wider applications. The most common applications are in tissue cultures, where 5-AzaC treatment has a beneficial effect on the induction of somatic embryogenesis [51][52][53], microspore embryogenesis [54][55], and shoot regeneration [56]. Another study has taken advantage of the fact that flowering is controlled by, amongst other things, DNA methylation [57]. With this in mind, the treatment of 5-AzaC has been shown to cause earlier or more frequent flowering compared to untreated control plants [58][59][60]. DNA methylation has been suggested to play a role in suppressing transposon activity. Therefore, increased activity of transposons is anticipated upon 5-AzaC or Zebularine treatment, which was confirmed by Nishimura [61], Konečná [62], and Boonjing [63]. Another group of applications focuses on the fact that the activity of the transgene in genetically transformed tissues is silenced by DNA methylation of the promoter contained in the transgenic construct. Treatment of such silenced transformants with 5-AzaC then caused reactivation of silenced transgenes [64][65]. Due to the commonly discussed role of DNA methylation in the field of priming or in transgenerational memory, treatment with 5-AzaC or Zebularine is also used for deeper understanding of DNA methylation in stress-memory-related phenomena. Verhoeven and Gurp [66] showed that Zebularine treatment affected the within-generation response to nutrient stress and indicated a role for DNA methylation in phenotypic plasticity. Rendina [67] showed that stress-induced memory alters growth of clonal offspring of white clover and that this transgenerational effect is not observed in offspring of parents that receive 5-AzaC. Similar results were obtained by Yang [68], where 5-AzaC diminished the difference between memorised and wild-type lines of Arabidopsis. The use of the second group of epigenetically active substances, histone deacetylase inhibitors, is currently sporadic. If they were used, it was mainly as a treatment within plant tissue cultures. Specifically, the use of Trichostatin A induced microspore embryogenesis in wheat [69] and somatic embryogenesis in Arabidopsis [70]. Treatment by trichostatin A and sodium butyrate also improved regeneration efficiency from mature wheat embryos [71]. It can be concluded that utilisation of epigenetically active substances is focused on topics, where it is suspected that the level of DNA methylation or acetylation of histones play a role in the respective phenomena. Specifically, this means trying to influence the various developmental stages of plants (flowering, embryogenesis, in vitro regeneration) or verifying whether DNA methylation or histone acetylation participates in a given phenomenon (stress memory molecular background). The disadvantage of such an approach is that inhibitor effects are global and not localised, affecting the whole genome and not only the locus of interest.

3.3. Inducing Epigenetic Diversity through Genetic Mutation

One emerging approach that aims to induce stable epi-alleles is through genetic mutations in DNA methylation pathways [72]. In the model plant A. thaliana, many studies have shown that DNA methylation mutants exhibit altered phenotypes, which are due to trans-induced hyper- or hypo-methylation of specific gene loci [73][74][75][76][77]. While many of these induced traits appear to be deleterious, with varying degrees of penetrance [75][76][78], several examples do exist where induced epi-allelic variation leads to advantageous phenotypes [79][80][81]. For instance, in Arabidopsis, mutants in RdDM displayed enhanced resistance against biotrophic pathogens, such as the downy mildew pathogen Hyaloperonospora arabidopsidis [79]. In addition, reduced DNA methylation levels in Arabidopsis DNA methylation mutants flowered earlier without the requirement for vernalisation [81], an agronomic trait that is usually preferable over late flowering. In the model tree poplar (Populus spp.), hypomethylation through a mutation in DDM1 increased tree tolerance in response to water deficit, showing how DDM1 context-dependent DNA methylation plays a crucial role in tree phenotypic plasticity under drought stress conditions [82]. The authors suggest major roles for DNA methylation in the shoot apical meristem in regulating genes involved in hormone-related stress responses, and the maintenance of genome integrity through repression of TEs.
Importantly, these phenotypes can sometimes persist for many generations, even when the inducing mutations are segregated away [83][84][85], indicating that they are acquired through epigenetic variation. This latter observation has been exploited systematically in the construction of so-called epigenetic recombinant inbred lines (epiRILs) [83][84]. This experimental system is derived by crossing a DNA methylation mutant to wild type. The F1 progeny of this cross are either backcrossed to wild type or intercrossed, and individual homozygous wild type for the inducing mutation are repeatedly self-pollinated to derive recombinant inbred lines. The final plant material thus consists of isogenic, epi-homozygous individuals, whose methylomes are a mosaic of the two original parents. These novel epi-genotypes can be systematically screened for favourable traits. Two epiRIL panels have been created in A. thaliana using DDM1 [83] or MET1 gene [84] as inducer mutations.
Extensive phenotypic surveys of the ddm1-derived epiRILs have revealed large heritable variation for key agricultural traits, such as plant height, root length, flowering time, rosette size [83][86][87], pathogen resistance [80], and phenotypic plasticity under salt stress [88]. Heritability estimates are in a range similar to what is typically seen in crop breeding [86][89]. By design, the epiRILs are also amenable to epigenetic quantitative trait locus (QTLepi) mapping approaches, where DNA methylation markers are used in genome-wide linkage scans [86]. Numerous epigenetic QTL have been identified. In some cases, the mutant epigenotypes at the QTL locus are associated with improved phenotypic performance relative to wild type, indicating that the underlying epialleles could be exploited in breeding programs [80][86][88][90]. More recently, epiRILs have also been utilised to generate large panels of so-called epiHybrids by crossing selected lines to wild type [91][92]. The epiHybrids display substantial best-parent heterosis for important traits like early vegetative growth [92], early flowering time, increased leaf area, plant height, and main stem branching, several of which could be linked to differential methylated regions in the parental genomes [91].
There have been efforts in the academic and private sectors to implement similar epigenetic perturbation strategies in crops. Such approaches could complement more mainstream breeding tools focused on genetic variation. However, the choice of inducer mutation is more challenging here, since loss of MET1 or DDM1 tend to be lethal or cause severely reduced fertility in complex crop genomes [93][94][95]. A promising alternative candidate is the MSH1 system. The MSH1 mitochondrial and plastid-targeting protein is involved in genome stability and influences plant growth patterns [96][97]. By crossing MSH1 to wild type, MSH1 is suppressed by RNA interference, resulting in enhanced plant growth and heritable epigenetic changes in Arabidopsis [98], as well as in tomato [19]. Notably, the methylome reprogramming in Arabidopsis is accompanied by changes in siRNA expression and heritable non-genetic memory [68]. In addition to crosses, the MSH1 system has also been employed in grafting experiments to introduce rootstock epigenetic variation, where the progeny also displays increased seed yield and growth vigour [20][98]. Most importantly, the MSH1 system seems to be reproducible in tomato field size experiments, making it a promising system for agricultural applications.

3.4. Environmentally Induced Epigenetic Diversity

Plants are immobile and exploit various tools to survive and reproduce under suboptimal or harsh surroundings. In the case of environmental stimuli, they undergo physiological response and phenotypic changes, which, according to the length of exposure, are divided into developmental plasticity (short term stimuli), memory and priming (mid-term stimuli), and local adaptation (long term exposure) [99]. There are many examples shown above that plants are better prepared for repetitive exposure to stress, either in a given individual, a derived clone, or even transgenerationally [100]. It is therefore possible to expect that similar mechanisms of plant adaptation also occur in situations where plants are exposed to natural stress conditions. Despite the relatively well-described and known memorising effect, the unique properties of plants that are naturally adapted to their respective environment is not yet very widespread in practice. One example is the fact that plants in different environments produce different ranges of secondary metabolites [101], which may theoretically be useful in the field of medical plants or spices [102]. From the evolutionary point of view, the issue of environmentally induced changes indirectly includes the strategy of vernalisation as a possible way for plants to adapt to extreme winter frosts [103] or for the epigenetic background of invasive species to successfully establish in different environments [104][105].

3.5. Hybridisation and Epigenetic as a Predictive Marker of Hybrid Performance

Heterosis, or hybrid vigour, is the superior phenotypic performance of F1 hybrids compared to the two inbred parents [106]. The phenomenon is extensively exploited to increase crop production worldwide [107]. Breeding programs aim to optimise heterosis by carefully selecting parental genotypes for crossing. However, genotypic information is often insufficient to accurately predict heterosis, and the molecular basis of this phenomena remains poorly understood [107]. Accumulating evidence points to a strong epigenetic contribution to heterosis. Molecular profiling of hybrids shows that their epigenomes are substantially remodelled with respect to their parental lines, leading to epigenetic states that diverge both positively and negatively from the expected mid-parent values (MPV) [108][109]. Extensive remodelling has been observed at the level of DNA methylation in Arabidopsis [91][108][109][110][111], rice [112][113], pigeon pea [114], broccoli [115], and in rapeseed [116], and occurs either at regions where parents are differentially methylated (DMRs) [91][108][109][117] or in regions where the parents are similarly methylated (SMRs) [113][115][118]. Similar observations have been made at the level of small RNA (sRNAs) abundance [119][108][110][112][114][116][118][120][121][122][123][124][125][126] and at various histone modifications [112][127]. In many cases, these epigenetic changes lead to downstream non-additive gene expression levels, which have been linked to heterotic phenotypes [45][108][109][112][114][116][120][128][129], often associated with salicylic acid (SA) metabolism and response [118][130]. For example, differences in the SA endogenous level in F1 heterotic hybrids have been correlated with enhanced leaf growth in Arabidopsis [130], and Zhang [118] not only revealed DDM1 as an epigenetic link between growth vigour and SA metabolism but also suggested that parental SA differences can predict heterosis level in the F1.
While it is possible that the remodelling of hybrid epigenomes is “just” the molecular consequence of classical genetic complementation effects, recent evidence shows that it also occurs when the parental genomes are isogenic or nearly isogenic [91][92][108][110][111][131]. This suggests that non-additive epigenetic changes observed in hybrids may originate from interactions between divergent parental epigenomes. Given the close association between DNA methylation, PTMs, small RNAs, and gene expression, parental epigenetic differences may therefore be used as indicators of hybrid performance, independently of genetic differences. Lauss [91] demonstrated that this is indeed the case. Using a panel of A. thaliana epigenetic Hybrids (epiHybrids) obtained from crosses of isogenic but epigenetically divergent parents, they showed that heterosis for flowering time, height, and leaf area could be associated with specific DMR between the parents. Similarly, in canola, hybrids obtained from isogenic parents which had undergone prior divergent selection for high energy-use efficiency showed increased yield. The artificial selection of the agronomical characteristics and the distinct DNA methylation parental patterns were heritable in the hybrids and allowed the targeted increase of yield [132].
These results show there is predictive information in epigenetic markers beyond DNA sequence variation. Epigenetic measurements may therefore be used as complementary biomarkers, even in crop systems where the parental lines are highly polymorphic. To illustrate this, Seifert [121] quantified differences in sRNA expression profiles among different heterotic groups in maize. The parental divergences in sRNA were strong indicators for grain yield in the hybrids [121][133]. The magnitude of these predictions exceeded those obtained with polymorphism data [121][133].
Beyond heterosis, epigenetic markers have been used to associate epigenetic with trait variation in experimental and natural populations. Classic quantitative genetics methods used to estimate the genetic component of the phenotype could also be used to assess natural epigenetic variations. DNA methylation represents a trait allowing the estimation of narrow-sense heritability or genetic differentiation index describing the genetic control of epigenetic variation [134][135]. Epigenetic polymorphisms (SMPs or DMRs) could be used as epigenetic markers in genome-scan-based approaches to estimate the role of epigenetics in population structure and phenotypic variation (epiFST, epiQTL). In oilseed crop using stable and heritable methylation-sensitive amplification polymorphisms (MSAP) and retrotransposon (RT) epigenetic markers, Long [136] identified QTLs for seven agronomic traits. In a similar MSAP-based approach in sorghum, a methylation linkage map was constructed that could help associate methylome hotspots to elite genes responsible for traits [137]. A common question is whether epigenetic variation is a cause of differentially expressed genes or the consequence of it. Recent evidence from maize supports the former, as DMRs that are not tagged by genetic variation are more prevalent and strongly associated with the expression of genes identified in phenotyping variation [138]. In addition to this, many metabolic traits showed notable correlations with DMRs and not with single nucleotide polymorphisms (SNPs), thus highlighting DNA methylation variation as a powerful phenotypic predictor independently of genetic polymorphism data [138]. Epigenome-wide association-mapping approaches have also been employed in clonally propagated oil palm. This approach uncovered a recurrent epimutation, which could be shown to be responsible for parthenocarpy and loss of oil yield [34]. Local hypomethylation near the Karma transposon could be shown to predict deleterious phenotype and is being further developed as a biomarker for juvenile screening of trees.
Beyond statistical predictions, knowledge of epigenotype–phenotype associations may provide deeper insights into the molecular regulation of agriculturally important plant traits and has the potential to contribute to breeding with useful markers. Even though there are already several studies in model plants that were able to quantify the epigenotype–phenotype interactions by distinguishing between the DNA sequence and epigenome variation, a defined epigenetic-oriented breeding strategy is yet to come. The creation of such systems in crops would allow not only the targeted use of the epigenome diversity to detect agronomically important epialleles, but also has the power to predict a plant’s performance, decrease field trials costs, and result in an increased crop production.

This entry is adapted from the peer-reviewed paper 10.3390/biology10080766

References

  1. Smith, P.; Davis, S.J.; Creutzig, F.; Fuss, S.; Minx, J.C.; Gabrielle, B.; Kato, E.; Jackson, R.B.; Cowie, A.; Kriegler, E.; et al. Biophysical and economic limits to negative CO2 emissions. Nat. Clim. Chang. 2015, 6, 42–50.
  2. Wollenberg, E.; Richards, M.; Smith, P.; Havlík, P.; Obersteiner, M.; Tubiello, F.N.; Herold, M.; Gerber, P.; Carter, S.; Reisinger, A.; et al. Reducing emissions from agriculture to meet the 2 °C target. Glob. Chang. Biol. 2016, 22, 3859–3864.
  3. Frank, S.; Havlik, P.; Soussana, J.-F.; Levesque, A.; Valin, H.; Wollenberg, E.; Kleinwechter, U.; Fricko, O.; Gusti, M.; Herrero, M.; et al. Reducing greenhouse gas emissions in agriculture without compromising food security? Environ. Res. Lett. 2017, 12, 105004.
  4. Ruane, A.C.; Antle, J.; Elliott, J.; Folberth, C.; Hoogenboom, G.; Mason-D’Croz, D.; Müller, C.; Porter, C.; Phillips, M.M.; Raymundo, R.M.; et al. Biophysical and economic implications for agriculture of +1.5° and +2.0 °C global warming using AgMIP Coordinated Global and Regional Assessments. Clim. Res. 2018, 76, 17–39.
  5. Van Meijl, H.; Havlik, P.; Lotze-Campen, H.; Stehfest, E.; Witzke, P.; Domínguez, I.P.; Bodirsky, B.L.; Van Dijk, M.; Doelman, J.; Fellmann, T.; et al. Comparing impacts of climate change and mitigation on global agriculture by 2050. Environ. Res. Lett. 2018, 13, 064021.
  6. Lobell, D.; Field, C.B. Global scale climate–crop yield relationships and the impacts of recent warming. Environ. Res. Lett. 2007, 2.
  7. Zhao, C.; Liu, B.; Piao, S.; Wang, X.; Lobell, D.; Huang, Y.; Huang, M.; Yao, Y.; Bassu, S.; Ciais, P.; et al. Temperature increase reduces global yields of major crops in four independent estimates. Proc. Natl. Acad. Sci. USA 2017, 114, 9326–9331.
  8. Hartman, G.L.; West, E.D.; Herman, T.K. Crops that feed the World 2. Soybean—worldwide production, use, and constraints caused by pathogens and pests. Food Secur. 2011, 3, 5–17.
  9. Oerke, E.-C. Crop losses to pests. J. Agric. Sci. 2005, 144, 31–43.
  10. Oerke, E.-C.; Dehne, H.-W. Safeguarding production—Losses in major crops and the role of crop protection. Crop. Prot. 2004, 23, 275–285.
  11. Ojolo, S.P.; Cao, S.; Priyadarshani, S.V.G.N.; Li, W.; Yan, M.; Aslam, M.; Zhao, H.; Qin, Y. Regulation of Plant Growth and Development: A Review From a Chromatin Remodeling Perspective. Front. Plant. Sci. 2018, 9, 1232.
  12. Agarwal, G.; Kudapa, H.; Ramalingam, A.; Choudhary, D.; Sinha, P.; Garg, V.; Singh, V.K.; Patil, G.B.; Pandey, M.K.; Nguyen, H.T.; et al. Epigenetics and epigenomics: Underlying mechanisms, relevance, and implications in crop improvement. Funct. Integr. Genom. 2020, 20, 739–761.
  13. Mercé, C.; Bayer, P.E.; Fernandez, C.T.; Batley, J.; Edwards, D. Induced Methylation in Plants as a Crop Improvement Tool: Progress and Perspectives. Agronomy 2020, 10, 1484.
  14. Kapazoglou, A.; Tani, E.; Avramidou, E.V.; Abraham, E.M.; Gerakari, M.; Megariti, S.; Doupis, G.; Doulis, A.G. Epigenetic Changes and Transcriptional Reprogramming Upon Woody Plant Grafting for Crop Sustainability in a Changing Environment. Front. Plant. Sci. 2021, 11.
  15. Zhang, H.; Lang, Z.; Zhu, J.-K. Dynamics and function of DNA methylation in plants. Nat. Rev. Mol. Cell Biol. 2018, 19, 489–506.
  16. Bodadilla, R. Histone Methylation—A Cornerstone for Plant Responses to Environmental Stresses? In Abiotic and Biotic Stress in Plants—Recent Advances and Future Perspectives; IntechOpen: London, UK, 2016.
  17. Bartels, A.; Han, Q.; Nair, P.; Stacey, L.; Gaynier, H.; Mosley, M.; Huang, Q.Q.; Pearson, J.K.; Hsieh, T.-F.; An, Y.-Q.C.; et al. Dynamic DNA Methylation in Plant Growth and Development. Int. J. Mol. Sci. 2018, 19, 2144.
  18. Singh, J.; Mishra, V.; Wang, F.; Huang, H.-Y.; Pikaard, C.S. Reaction Mechanisms of Pol IV, RDR2, and DCL3 Drive RNA Channeling in the siRNA-Directed DNA Methylation Pathway. Mol. Cell 2019, 75, 576–589.e5.
  19. Yang, X.; Kundariya, H.; Xu, Y.-Z.; Sandhu, A.; Yu, J.; Hutton, S.F.; Zhang, M.; MacKenzie, S.A. MutS HOMOLOG1-Derived Epigenetic Breeding Potential in Tomato. Plant. Physiol. 2015, 168, 222–232.
  20. Kundariya, H.; Yang, X.; Morton, K.; Sanchez, R.; Axtell, M.J.; Hutton, S.F.; Fromm, M.; Mackenzie, S.A. MSH1-induced heritable enhanced growth vigor through grafting is associated with the RdDM pathway in plants. Nat. Commun. 2020, 11, 1–14.
  21. Raju, S.K.K.; Shao, M.; Sanchez, R.; Xu, Y.; Sandhu, A.; Graef, G.; Mackenzie, S. An epigenetic breeding system in soybean for increased yield and stability. Plant. Biotechnol. J. 2018, 16, 1836–1847.
  22. Pecinka, A.; Chevalier, C.; Colas, I.; Kalantidis, K.; Varotto, S.; Krugman, T.; Michailidis, C.; Vallés, M.-P.; Muñoz, A.; Pradillo, M. Chromatin dynamics during interphase and cell division: Similarities and differences between model and crop plants. J. Exp. Bot. 2019, 71, 5205–5222.
  23. Song, J.; Henry, H.A.; Tian, L. Brachypodium histone deacetylase BdHD1 positively regulates ABA and drought stress responses. Plant. Sci. 2019, 283, 355–365.
  24. Tsikou, D.; Yan, Z.; Holt, D.B.; Abel, N.B.; Reid, D.E.; Madsen, L.H.; Bhasin, H.; Sexauer, M.; Stougaard, J.; Markmann, K. Systemic control of legume susceptibility to rhizobial infection by a mobile microRNA. Science 2018, 362, 233–236.
  25. Boycheva, I.; Vassileva, V.; Revalska, M.; Zehirov, G.; Iantcheva, A. Different functions of the histone acetyltransferase HAC1 gene traced in the model species Medicago truncatula, Lotus japonicus and Arabidopsis thaliana. Protoplasma 2016, 254, 697–711.
  26. Rose, R.J. Somatic Embryogenesis in the Medicago truncatula Model: Cellular and Molecular Mechanisms. Front. Plant. Sci. 2019, 10, 267.
  27. Deng, X.; Song, X.; Wei, L.; Liu, C.; Cao, X. Epigenetic regulation and epigenomic landscape in rice. Natl. Sci. Rev. 2016, 3, 309–327.
  28. Candaele, J.; Demuynck, K.; Mosoti, D.; Beemster, G.; Inzé, D.; Nelissen, H. Differential Methylation during Maize Leaf Growth Targets Developmentally Regulated Genes. Plant. Physiol. 2014, 164, 1350–1364.
  29. Huang, J.; Lynn, J.S.; Schulte, L.; Vendramin, S.; McGinnis, K. Chapter Two—Epigenetic Control of Gene Expression in Maize. In International Review of Cell and Molecular Biology; Galluzzi, L., Ed.; Academic Press: Cambridge, MA, USA, 2017; Volume 328, pp. 25–48.
  30. Hu, Z.; Han, Z.; Song, N.; Chai, L.; Yao, Y.; Peng, H.; Ni, Z.; Sun, Q. Epigenetic modification contributes to the expression divergence of three TaEXPA1 homoeologs in hexaploid wheat (Triticum aestivum). N. Phytol. 2013, 197, 1344–1352.
  31. An, Y.-Q.C.; Goettel, W.; Han, Q.; Bartels, A.; Liu, Z.; Xiao, W. Dynamic Changes of Genome-Wide DNA Methylation during Soybean Seed Development. Sci. Rep. 2017, 7, 1–14.
  32. Yao, N.; Schmitz, R.J.; Johannes, F. Epimutations define a fast-ticking molecular clock in plants. Trends Genet. 2021.
  33. Cubas, P.; Vincent, C.; Coen, E. An epigenetic mutation responsible for natural variation in floral symmetry. Nat. Cell Biol. 1999, 401, 157–161.
  34. Ong-Abdullah, M.; Ordway, J.M.; Jiang, N.; Ooi, S.-E.; Kok, S.-Y.; Sarpan, N.; Azimi, N.; Hashim, A.T.; Ishak, Z.; Rosli, S.K.; et al. Loss of Karma transposon methylation underlies the mantled somaclonal variant of oil palm. Nat. Cell Biol. 2015, 525, 533–537.
  35. Zhang, L.; Cheng, Z.; Qin, R.; Qiu, Y.; Wang, J.-L.; Cui, X.; Gu, L.; Zhang, X.; Guo, X.; Wang, D.; et al. Identification and Characterization of an Epi-Allele of FIE1 Reveals a Regulatory Linkage between Two Epigenetic Marks in Rice. Plant. Cell 2012, 24, 4407–4421.
  36. Zhang, X.; Sun, J.; Cao, X.; Song, X. Epigenetic Mutation of RAV6 Affects Leaf Angle and Seed Size in Rice. Plant. Physiol. 2015, 169, 2118–2128.
  37. Martin, A.; Troadec, C.; Boualem, A.; Rajab, M.; Fernandez, R.; Morin, H.; Pitrat, M.; Dogimont, C.; Bendahmane, A. A transposon-induced epigenetic change leads to sex determination in melon. Nat. Cell Biol. 2009, 461, 1135–1138.
  38. Miura, K.; Agetsuma, M.; Kitano, H.; Yoshimura, A.; Matsuoka, M.; Jacobsen, S.E.; Ashikari, M. A metastable DWARF1 epigenetic mutant affecting plant stature in rice. Proc. Natl. Acad. Sci. USA 2009, 106, 11218–11223.
  39. Manning, K.; Tor, M.; Poole, M.; Hong, Y.; Thompson, A.; King, G.; Giovannoni, J.J.; Seymour, G. A naturally occurring epigenetic mutation in a gene encoding an SBP-box transcription factor inhibits tomato fruit ripening. Nat. Genet. 2006, 38, 948–952.
  40. Bender, J.; Fink, G.R. Epigenetic control of an endogenous gene family is revealed by a novel blue fluorescent mutant of Arabidopsis. Cell 1995, 83, 725–734.
  41. Quadrana, L.; Almeida, J.; Asís, R.; Duffy, T.; Dominguez, P.G.; Bermudez, L.F.; Conti, G.; Da Silva, J.V.C.; Peralta, I.E.; Colot, V.; et al. Natural occurring epialleles determine vitamin E accumulation in tomato fruits. Nat. Commun. 2014, 5, 4027.
  42. Silveira, A.B.; Trontin, C.; Cortijo, S.; Barau, J.; Del-Bem, L.-E.; Loudet, O.; Colot, V.; Vincentz, M. Extensive Natural Epigenetic Variation at a De Novo Originated Gene. PLoS Genet. 2013, 9, e1003437.
  43. He, L.; Wu, W.; Zinta, G.; Yang, L.; Wang, D.; Liu, R.; Zhang, H.; Zheng, Z.; Huang, H.; Zhang, Q.; et al. A naturally occurring epiallele associates with leaf senescence and local climate adaptation in Arabidopsis accessions. Nat. Commun. 2018, 9, 1–11.
  44. Johannes, F.; Schmitz, R.J. Spontaneous epimutations in plants. N. Phytol. 2018, 221, 1253–1259.
  45. Springer, N.M. Epigenetics and crop improvement. Trends Genet. 2013, 29, 241–247.
  46. Springer, N.M.; Schmitz, R. Exploiting induced and natural epigenetic variation for crop improvement. Nat. Rev. Genet. 2017, 18, 563–575.
  47. Mondal, P.; Natesh, J.; Penta, D.; Meeran, S.M. Progress and promises of epigenetic drugs and epigenetic diets in cancer prevention and therapy: A clinical update. Semin. Cancer Biol. 2020.
  48. Stresemann, C.; Lyko, F. Modes of action of the DNA methyltransferase inhibitors azacytidine and decitabine. Int. J. Cancer 2008, 123, 8–13.
  49. Yoo, C.; Cheng, J.; Jones, P. Zebularine: A new drug for epigenetic therapy. Biochem. Soc. Trans. 2004, 32, 910–912.
  50. Baránek, M.; Otmar, M.; Krečmerová, M.; Eichmeier, A.; Moudrá, J.; Mynarzová, Z. Effect of Different DNA Demethylating Agents on in vitro Cultures of Peach Rootstock GF 677. Not. Bot. Horti Agrobot. Cluj-Napoca 2019, 47.
  51. Chen, R.; Chen, X.; Huo, W.; Zheng, S.; Lin, Y.; Lai, Z. Transcriptome analysis of azacitidine (5-AzaC)-treatment affecting the development of early somatic embryogenesis in longan. J. Hortic. Sci. Biotechnol. 2020, 96, 311–323.
  52. Quinga, L.A.P.; Fraga, H.; Vieira, L.D.N.; Guerra, M.P. Epigenetics of long-term somatic embryogenesis in Theobroma cacao L.: DNA methylation and recovery of embryogenic potential. Plant. Cell Tissue Organ. Cult. 2017, 131, 295–305.
  53. Fraga, H.; Vieira, L.D.N.; Caprestano, C.A.; Steinmacher, D.A.; Micke, G.A.; Spudeit, D.A.; Pescador, R.; Guerra, M.P. 5-Azacytidine combined with 2,4-D improves somatic embryogenesis of Acca sellowiana (O. Berg) Burret by means of changes in global DNA methylation levels. Plant. Cell Rep. 2012, 31, 2165–2176.
  54. Nowicka, A.; Juzoń, K.; Krzewska, M.; Dziurka, M.; Dubas, E.; Kopeć, P.; Zieliński, K.; Żur, I. Chemically-induced DNA de-methylation alters the effectiveness of microspore embryogenesis in triticale. Plant. Sci. 2019, 287, 110189.
  55. Solís, M.-T.; El-Tantawy, A.A.; Cano, V.; Risueño, M.C.; Testillano, P.S. 5-azacytidine promotes microspore embryogenesis initiation by decreasing global DNA methylation, but prevents subsequent embryo development in rapeseed and barley. Front. Plant. Sci. 2015, 6, 472.
  56. Zhao, Q.; Du, Y.; Wang, H.; Rogers, H.J.; Yu, C.; Liu, W.; Zhao, M.; Xie, F. 5-Azacytidine promotes shoot regeneration during Agrobacterium-mediated soybean transformation. Plant. Physiol. Biochem. 2019, 141, 40–50.
  57. Dennis, E.; Peacock, W. Epigenetic regulation of flowering. Curr. Opin. Plant. Biol. 2007, 10, 520–527.
  58. Cheng, Y.-H.; Peng, X.-Y.; Yu, Y.-C.; Sun, Z.-Y.; Han, L. The Effects of DNA Methylation Inhibition on Flower Development in the Dioecious Plant Salix Viminalis. Forests 2019, 10, 173.
  59. Li, S.F.; Zhang, G.J.; Yuan, J.H.; Deng, C.L.; Lu, L.D.; Gao, W.J. Effect of 5-azaC on the growth, flowering time and sexual phenotype of spinach. Russ. J. Plant. Physiol. 2015, 62, 670–675.
  60. Ogneva, Z.V.; Suprun, A.; Dubrovina, A.S.; Kiselev, K.V. Effect of 5-azacytidine induced DNA demethylation on abiotic stress tolerance in Arabidopsis thaliana. Plant. Prot. Sci. 2019, 55, 73–80.
  61. Nishimura, H.; Himi, E.; Eun, C.-H.; Takahashi, H.; Qian, Q.; Tsugane, K.; Maekawa, M. Transgenerational activation of an autonomous DNA transposon, Dart1-24, by 5-azaC treatment in rice. Theor. Appl. Genet. 2019, 132, 3347–3355.
  62. Konečná, K.; Sováková, P.; Anteková, K.; Fajkus, J.; Fojtová, M. Distinct Responses of Arabidopsis Telomeres and Transposable Elements to Zebularine Exposure. Int. J. Mol. Sci. 2021, 22, 468.
  63. Boonjing, P.; Masuta, Y.; Nozawa, K.; Kato, A.; Ito, H. The effect of Zebularine on the heat-activated retrotransposon ONSEN in Arabidopsis thaliana and Vigna angularis. Genes Genet. Syst. 2020, 95, 165–172.
  64. Yamagishi, K.; Kikuta, Y. Nucleoside derivatives of 5-methylcytosine suppress 5-azacytidine-induced reactivation of a silent transgene in suspension-cultured tobacco cells. Plant. Biotechnol. 2021, 38, 173–178.
  65. Tyč, D.; Nocarová, E.; Sikorová, L.; Fischer, L. 5-Azacytidine mediated reactivation of silenced transgenes in potato (Solanum tuberosum) at the whole plant level. Plant. Cell Rep. 2017, 36, 1311–1322.
  66. Verhoeven, K.J.; van Gurp, T. Transgenerational Effects of Stress Exposure on Offspring Phenotypes in Apomictic Dandelion. PLoS ONE 2012, 7, e38605.
  67. González, A.P.R.; Preite, V.; Verhoeven, K.J.F.; Latzel, V. Transgenerational Effects and Epigenetic Memory in the Clonal Plant Trifolium repens. Front. Plant. Sci. 2018, 9, 1677.
  68. Yang, X.; Sanchez, R.; Kundariya, H.; Maher, T.; Dopp, I.; Schwegel, R.; Virdi, K.; Axtell, M.J.; MacKenzie, S.A. Segregation of an MSH1 RNAi transgene produces heritable non-genetic memory in association with methylome reprogramming. Nat. Commun. 2020, 11, 1–17.
  69. Castillo, A.M.; Valero-Rubira, I.; Burrell, M.; Allué, S.; Costar, M.A.; Vallés, M.P. Trichostatin A Affects Developmental Reprogramming of Bread Wheat Microspores towards an Embryogenic Route. Plants 2020, 9, 1442.
  70. Wójcikowska, B.; Botor, M.; Morończyk, J.; Wójcik, A.; Nodzynski, T.; Karcz, J.; Gaj, M.D. Trichostatin A Triggers an Embryogenic Transition in Arabidopsis Explants via an Auxin-Related Pathway. Front. Plant. Sci. 2018, 9, 1353.
  71. Bie, X.M.; Dong, L.; Li, X.H.; Wang, H.; Gao, X.-Q.; Li, X.G. Trichostatin A and sodium butyrate promotes plant regeneration in common wheat. Plant. Signal. Behav. 2020, 15, 1820681.
  72. Becker, C.; Weigel, D. Epigenetic variation: Origin and transgenerational inheritance. Curr. Opin. Plant. Biol. 2012, 15, 562–567.
  73. Jacobsen, S.E.; Meyerowitz, E.M. Hypermethylated SUPERMAN Epigenetic Alleles in Arabidopsis. Science 1997, 277, 1100–1103.
  74. Jacobsen, S.E.; Sakai, H.; Finnegan, E.; Cao, X.; Meyerowitz, E.M. Ectopic hypermethylation of flower-specific genes in Arabidopsis. Curr. Biol. 2000, 10, 179–186.
  75. Soppe, W.J.; Jacobsen, S.E.; Alonso-Blanco, C.; Jackson, J.P.; Kakutani, T.; Koornneef, M.; Peeters, A.J. The Late Flowering Phenotype of fwa Mutants Is Caused by Gain-of-Function Epigenetic Alleles of a Homeodomain Gene. Mol. Cell 2000, 6, 791–802.
  76. Stokes, T.L.; Kunkel, B.N.; Richards, E.J. Epigenetic variation in Arabidopsis disease resistance. Genes Dev. 2002, 16, 171–182.
  77. Saze, H.; Kakutani, T. Heritable epigenetic mutation of a transposon-flanked Arabidopsis gene due to lack of the chromatin-remodeling factor DDM1. EMBO J. 2007, 26, 3641–3652.
  78. Kakutani, T.; Jeddeloh, J.A.; Flowers, S.K.; Munakata, K.; Richards, E.J. Developmental abnormalities and epimutations associated with DNA hypomethylation mutations. Proc. Natl. Acad. Sci. USA 1996, 93, 12406–12411.
  79. Luna, E.; Ton, J. The epigenetic machinery controlling transgenerational systemic acquired resistance. Plant. Signal. Behav. 2012, 7, 615–618.
  80. Furci, L.; Jain, R.; Stassen, J.; Berkowitz, O.; Whelan, J.; Roquis, D.; Baillet, V.; Colot, V.; Johannes, F.; Ton, J. Identification and characterisation of hypomethylated DNA loci controlling quantitative resistance in Arabidopsis. eLife 2019, 8, e40655.
  81. Finnegan, E.J.; Peacock, W.J.; Dennis, E.S. Reduced DNA methylation in Arabidopsis thaliana results in abnormal plant development. Proc. Natl. Acad. Sci. USA 1996, 93, 8449–8454.
  82. Sow, M.D.; Le Gac, A.; Fichot, R.; Lanciano, S.; Delaunay, A.; Le Jan, I.; Lesage-Descauses, M.; Citerne, S.; Caius, J.; Brunaud, V.; et al. RNAi suppression of DNA methylation affects drought stress response and genome integrity in transgenic poplar. N. Phytol. 2021.
  83. Johannes, F.; Porcher, E.; Teixeira, F.K.; Saliba-Colombani, V.; Simon, M.; Agier, N.; Bulski, A.; Albuisson, J.; Heredia, F.; Audigier, P.; et al. Assessing the Impact of Transgenerational Epigenetic Variation on Complex Traits. PLoS Genet. 2009, 5, e1000530.
  84. Reinders, J.; Wulff, B.; Mirouze, M.; Marí-Ordóñez, A.; Dapp, M.; Rozhon, W.; Bucher, E.; Theiler, G.; Paszkowski, J. Compromised stability of DNA methylation and transposon immobilization in mosaic Arabidopsis epigenomes. Genes Dev. 2009, 23, 939–950.
  85. Johannes, F.; Tatche, M.C. Quantitative Epigenetics Through Epigenomic Perturbation of Isogenic Lines. Genetics 2011, 188, 215–227.
  86. Cortijo, S.; Wardenaar, R.; Colomé-Tatché, M.; Gilly, A.; Etcheverry, M.; Labadie, K.; Caillieux, E.; Hospital, F.; Aury, J.-M.; Wincker, P.; et al. Mapping the Epigenetic Basis of Complex Traits. Science 2014, 343, 1145–1148.
  87. Roux, F.; Tatche, M.C.; Edelist, C.; Wardenaar, R.; Guerche, P.; Hospital, F.; Colot, V.; Jansen, R.C.; Johannes, F. Genome-Wide Epigenetic Perturbation Jump-Starts Patterns of Heritable Variation Found in Nature. Genetics 2011, 188, 1015–1017.
  88. Kooke, R.; Johannes, F.; Wardenaar, R.; Becker, F.; Etcheverry, M.; Colot, V.; Vreugdenhil, D.; Keurentjes, J.J. Epigenetic Basis of Morphological Variation and Phenotypic Plasticity in Arabidopsis thaliana. Plant. Cell 2015, 27, 337–348.
  89. Zhang, Y.-Y.; Latzel, V.; Fischer, M.; Bossdorf, O. Understanding the evolutionary potential of epigenetic variation: A comparison of heritable phenotypic variation in epiRILs, RILs, and natural ecotypes of Arabidopsis thaliana. Heredity 2018, 121, 257–265.
  90. Kooke, R.; Morgado, L.; Becker, F.F.M.; Van Eekelen, H.; Hazarika, R.R.; Zheng, Q.; De Vos, R.C.; Johannes, F.; Keurentjes, J.J. Epigenetic mapping of the Arabidopsis metabolome reveals mediators of the epigenotype-phenotype map. Genome Res. 2018, 29, 96–106.
  91. Lauss, K.; Wardenaar, R.; Oka, R.; van Hulten, M.H.A.; Guryev, V.; Keurentjes, J.J.B.; Stam, M.; Johannes, F. Parental DNA Methylation States Are Associated with Heterosis in Epigenetic Hybrids. Plant. Physiol. 2017, 176, 1627–1645.
  92. Dapp, M.; Reinders, J.; Bédiée, A.; Balsera, C.; Bucher, E.; Theiler, G.; Granier, C.; Paszkowski, J. Heterosis and inbreeding depression of epigenetic Arabidopsis hybrids. Nat. Plants 2015, 1, 15092.
  93. Hu, L.; Li, N.; Xu, C.; Zhong, S.; Lin, X.; Yang, J.; Zhou, T.; Yuliang, A.; Wu, Y.; Chen, Y.-R.; et al. Mutation of a major CG methylase in rice causes genome-wide hypomethylation, dysregulated genome expression, and seedling lethality. Proc. Natl. Acad. Sci. USA 2014, 111, 10642–10647.
  94. Li, Q.; Eichten, S.R.; Hermanson, P.J.; Zaunbrecher, V.M.; Song, J.; Wendt, J.; Rosenbaum, H.; Madzima, T.F.; Sloan, A.E.; Huang, J.; et al. Genetic Perturbation of the Maize Methylome. Plant. Cell 2014, 26, 4602–4616.
  95. Yamauchi, T.; Johzuka-Hisatomi, Y.; Terada, R.; Nakamura, I.; Iida, S. The MET1b gene encoding a maintenance DNA methyltransferase is indispensable for normal development in rice. Plant. Mol. Biol. 2014, 85, 219–232.
  96. Xu, Y.-Z.; Arrieta-Montiel, M.P.; Virdi, K.; de Paula, W.B.; Widhalm, J.; Basset, G.J.; Davila, J.I.; Elthon, T.E.; Elowsky, C.G.; Sato, S.J.; et al. MutS HOMOLOG1 Is a Nucleoid Protein That Alters Mitochondrial and Plastid Properties and Plant Response to High Light. Plant. Cell 2011, 23, 3428–3441.
  97. Abdelnoor, R.V.; Yule, R.; Elo, A.; Christensen, A.C.; Meyer-Gauen, G.; Mackenzie, S.A. Substoichiometric shifting in the plant mitochondrial genome is influenced by a gene homologous to MutS. Proc. Natl. Acad. Sci. USA 2003, 100, 5968–5973.
  98. Virdi, K.; Laurie, J.D.; Xu, Y.-Z.; Yu, J.; Shao, M.-R.; Sanchez, R.; Kundariya, H.; Wang, D.; Riethoven, J.-J.; Wamboldt, Y.; et al. ArabidopsisMSH1 mutation alters the epigenome and produces heritable changes in plant growth. Nat. Commun. 2015, 6, 6386.
  99. Amaral, M.N.D.; Auler, P.A.; Rossatto, T.; Barros, P.M.; Oliveira, M.M.; Braga, E.J.B. Long-term somatic memory of salinity unveiled from physiological, biochemical and epigenetic responses in two contrasting rice genotypes. Physiol. Plant. 2020, 170.
  100. Srikant, T.; Drost, H.-G. How Stress Facilitates Phenotypic Innovation through Epigenetic Diversity. Front. Plant. Sci. 2021, 11.
  101. Sampaio, B.L.; Edrada-Ebel, R.; Da Costa, F. Effect of the environment on the secondary metabolic profile of Tithonia diversifolia: A model for environmental metabolomics of plants. Sci. Rep. 2016, 6, 29265.
  102. Borges, C.V.; Minatel, I.O.; Gomez-Gomez, H.A.; Lima, G.P.P. Medicinal Plants: Influence of Environmental Factors on the Content of Secondary Metabolites. In Medicinal Plants and Environmental Challenges; Ghorbanpour, M., Varma, A., Eds.; Springer: Cham, Switzerland, 2017; pp. 259–277.
  103. Luo, X.; He, Y. Experiencing winter for spring flowering: A molecular epigenetic perspective on vernalization. J. Integr. Plant. Biol. 2019, 62, 104–117.
  104. Banerjee, A.K.; Guo, W.; Huang, Y. Genetic and epigenetic regulation of phenotypic variation in invasive plants—Linking research trends towards a unified framework. NeoBiota 2019, 49, 77–103.
  105. Marin, P.; Genitoni, J.; Barloy, D.; Maury, S.; Gibert, P.; Ghalambor, C.K.; Vieira, C. Biological invasion: The influence of the hidden side of the (epi)genome. Funct. Ecol. 2019, 34, 385–400.
  106. Chen, Z.J. Molecular mechanisms of polyploidy and hybrid vigor. Trends Plant. Sci. 2010, 15, 57–71.
  107. Schnable, P.S.; Springer, N.M. Progress Toward Understanding Heterosis in Crop Plants. Annu. Rev. Plant. Biol. 2013, 64, 71–88.
  108. Greaves, I.; Groszmann, M.; Ying, H.; Taylor, J.; Peacock, W.J.; Dennis, E.S. Trans Chromosomal Methylation in Arabidopsis hybrids. Proc. Natl. Acad. Sci. USA 2012, 109, 3570–3575.
  109. Shen, H.; He, H.; Li, J.; Chen, W.; Wang, X.; Guo, L.; Peng, Z.; He, G.; Zhong, S.; Qi, Y.; et al. Genome-Wide Analysis of DNA Methylation and Gene Expression Changes in Two Arabidopsis Ecotypes and Their Reciprocal Hybrids. Plant. Cell 2012, 24, 875–892.
  110. Rigal, M.; Becker, C.; Pélissier, T.; Pogorelcnik, R.; Devos, J.; Ikeda, Y.; Weigel, D.; Mathieu, O. Epigenome confrontation triggers immediate reprogramming of DNA methylation and transposon silencing in Arabidopsis thaliana F1 epihybrids. Proc. Natl. Acad. Sci. USA 2016, 113, E2083–E2092.
  111. Zhang, Q.; Wang, D.; Lang, Z.; He, L.; Yang, L.; Zeng, L.; Li, Y.; Zhao, C.; Huang, H.; Zhang, H.; et al. Methylation interactions in Arabidopsis hybrids require RNA-directed DNA methylation and are influenced by genetic variation. Proc. Natl. Acad. Sci. USA 2016, 113, E4248–E4256.
  112. He, G.; Zhu, X.; Elling, A.A.; Chen, L.; Wang, X.; Guo, L.; Liang, M.; He, H.; Zhang, H.; Chen, F.; et al. Global Epigenetic and Transcriptional Trends among Two Rice Subspecies and Their Reciprocal Hybrids. Plant. Cell 2010, 22, 17–33.
  113. Ma, X.; Xing, F.; Jia, Q.; Zhang, Q.; Hu, T.; Wu, B.; Shao, L.; Zhao, Y.; Zhang, Q.; Zhou, D.-X. Parental variation in CHG methylation is associated with allelic-specific expression in elite hybrid rice. Plant. Physiol. 2021, 186, 1025–1041.
  114. Sinha, P.; Singh, V.; Saxena, R.K.; Kale, S.M.; Li, Y.; Garg, V.; Meifang, T.; Khan, A.W.; Kim, K.D.; Chitikineni, A.; et al. Genome-wide analysis of epigenetic and transcriptional changes associated with heterosis in pigeonpea. Plant. Biotechnol. J. 2020, 18, 1697–1710.
  115. Li, H.; Yuan, J.; Wu, M.; Han, Z.; Li, L.; Jiang, H.; Jia, Y.; Han, X.; Liu, M.; Sun, D.; et al. Transcriptome and DNA methylome reveal insights into yield heterosis in the curds of broccoli (Brassica oleracea L var. italic). BMC Plant. Biol. 2018, 18, 168.
  116. Shen, Y.; Sun, S.; Hua, S.; Shen, E.; Ye, C.; Cai, D.; Timko, M.P.; Zhu, Q.; Fan, L. Analysis of transcriptional and epigenetic changes in hybrid vigor of allopolyploid Brassica napus uncovers key roles for small RNAs. Plant. J. 2017, 91, 874–893.
  117. Chodavarapu, R.K.; Feng, S.; Ding, B.; Simon, S.A.; Lopez, D.; Jia, Y.; Wang, G.-L.; Meyers, B.; Jacobsen, S.E.; Pellegrini, M. Transcriptome and methylome interactions in rice hybrids. Proc. Natl. Acad. Sci. USA 2012, 109, 12040–12045.
  118. Zhang, Q.; Li, Y.; Xu, T.; Srivastava, A.K.; Wang, D.; Zeng, L.; Yang, L.; He, L.; Zhang, H.; Zheng, Z.; et al. The chromatin remodeler DDM1 promotes hybrid vigor by regulating salicylic acid metabolism. Cell Discov. 2016, 2, 16027.
  119. Crisp, P.A.; Ganguly, D.; Eichten, S.R.; Borevitz, J.; Pogson, B.J. Reconsidering plant memory: Intersections between stress recovery, RNA turnover, and epigenetics. Sci. Adv. 2016, 2, e1501340.
  120. Groszmann, M.; Greaves, I.; Albert, N.; Fujimoto, R.; Helliwell, C.; Dennis, E.; Peacock, W.J. Epigenetics in plants—Vernalisation and hybrid vigour. Biochim. Biophys. Acta BBA Bioenerg. 2011, 1809, 427–437.
  121. Seifert, F.; Thiemann, A.; Schrag, T.A.; Rybka, D.; Melchinger, A.E.; Frisch, M.; Scholten, S. Small RNA-based prediction of hybrid performance in maize. BMC Genom. 2018, 19, 371.
  122. Crisp, P.A.; Hammond, R.; Zhou, P.; Vaillancourt, B.; Lipzen, A.; Daum, C.; Barry, K.; De Leon, N.; Buell, C.R.; Kaeppler, S.M.; et al. Variation and Inheritance of Small RNAs in Maize Inbreds and F1 Hybrids. Plant. Physiol. 2019, 182, 318–331.
  123. Shivaprasad, P.V.; Dunn, R.M.; Santos, B.; Bassett, A.; Baulcombe, D. Extraordinary transgressive phenotypes of hybrid tomato are influenced by epigenetics and small silencing RNAs. EMBO J. 2011, 31, 257–266.
  124. Kenan-Eichler, M.; Leshkowitz, D.; Tal, L.; Noor, E.; Melamed-Bessudo, C.; Feldman, M.; Levy, A.A. Wheat Hybridization and Polyploidization Results in Deregulation of Small RNAs. Genetics 2011, 188, 263–272.
  125. Zhang, L.; Peng, Y.; Wei, X.; Dai, Y.; Yuan, D.; Lu, Y.; Pan, Y.; Zhu, Z. Small RNAs as important regulators for the hybrid vigour of super-hybrid rice. J. Exp. Bot. 2014, 65, 5989–6002.
  126. Li, Y.; Varala, K.; Moose, S.P.; Hudson, M.E. The Inheritance Pattern of 24 nt siRNA Clusters in Arabidopsis Hybrids Is Influenced by Proximity to Transposable Elements. PLoS ONE 2012, 7, e47043.
  127. He, G.; Chen, B.; Wang, X.; Li, X.; Li, J.; He, H.; Yang, M.; Lu, L.; Qi, Y.; Wang, X.; et al. Conservation and divergence of transcriptomic and epigenomic variation in maize hybrids. Genome Biol. 2013, 14, R57.
  128. Ha, M.; Lu, J.; Tian, L.; Ramachandran, V.; Kasschau, K.D.; Chapman, E.J.; Carrington, J.C.; Chen, X.; Wang, X.-J.; Chen, Z.J. Small RNAs serve as a genetic buffer against genomic shock in Arabidopsis interspecific hybrids and allopolyploids. Proc. Natl. Acad. Sci. USA 2009, 106, 17835–17840.
  129. Groszmann, M.; Greaves, I.; Fujimoto, R.; Peacock, W.J.; Dennis, E.S. The role of epigenetics in hybrid vigour. Trends Genet. 2013, 29, 684–690.
  130. Groszmann, M.; Gonzalez-Bayon, R.; Lyons, R.L.; Greaves, I.; Kazan, K.; Peacock, W.J.; Dennis, E.S. Hormone-regulated defense and stress response networks contribute to heterosis in Arabidopsis F1 hybrids. Proc. Natl. Acad. Sci. USA 2015, 112, E6397–E6406.
  131. Groszmann, M.; Gonzalez-Bayon, R.; Greaves, I.; Wang, L.; Huen, A.K.; Peacock, W.J.; Dennis, E.S. Intraspecific Arabidopsis Hybrids Show Different Patterns of Heterosis Despite the Close Relatedness of the Parental Genomes. Plant. Physiol. 2014, 166, 265–280.
  132. Hauben, M.; Haesendonckx, B.; Standaert, E.; Van Der Kelen, K.; Azmi, A.; Akpo, H.; Van Breusegem, F.; Guisez, Y.; Bots, M.; Lambert, B.; et al. Energy use efficiency is characterized by an epigenetic component that can be directed through artificial selection to increase yield. Proc. Natl. Acad. Sci. USA 2009, 106, 20109–20114.
  133. Seifert, F.; Thiemann, A.; Grant-Downton, R.; Edelmann, S.; Rybka, D.; Schrag, T.A.; Frisch, M.; Dickinson, H.G.; Melchinger, A.E.; Scholten, S. Parental Expression Variation of Small RNAs Is Negatively Correlated with Grain Yield Heterosis in a Maize Breeding Population. Front. Plant. Sci. 2018, 9, 13.
  134. Sow, M.D.; Allona, I.; Ambroise, C.; Conde, D.; Fichot, R.; Gribkova, S.; Jorge, V.; Le-Provost, G.; Pâques, L.; Plomion, C.; et al. Chapter Twelve—Epigenetics in Forest Trees: State of the Art and Potential Implications for Breeding and Management in a Context of Climate Change. In Advances in Botanical Research; Mirouze, M., Bucher, E., Gallusci, P., Eds.; Plant Epigenetics Coming of Age for Breeding Applications; Academic Press: London, UK, 2018; Volume 88, pp. 387–453.
  135. Dubin, M.J.; Zhang, P.; Meng, D.; Remigereau, M.-S.; Osborne, E.J.; Casale, F.P.; Drewe, P.; Kahles, A.; Jean, G.; Vilhjalmsson, B.; et al. DNA methylation in Arabidopsis has a genetic basis and shows evidence of local adaptation. eLife 2015, 4, e05255.
  136. Long, Y.; Xia, W.; Li, R.; Wang, J.; Shao, M.; Feng, J.; King, G.; Meng, J. Epigenetic QTL Mapping in Brassica napus. Genetics 2011, 189, 1093–1102.
  137. Duan, Y.; Qian, J.; Sun, Y.; Yi, Z.; Yan, M. Construction of methylation linkage map based on MSAP and SSR markers in Sorghum bicolor (L.). IUBMB Life 2009, 61, 663–669.
  138. Xu, J.; Chen, G.; Hermanson, P.J.; Xu, Q.; Sun, C.; Chen, W.; Kan, Q.; Li, M.; Crisp, P.; Yan, J.; et al. Population-level analysis reveals the widespread occurrence and phenotypic consequence of DNA methylation variation not tagged by genetic variation in maize. Genome Biol. 2019, 20, 243.
More
This entry is offline, you can click here to edit this entry!
Video Production Service