Next Article in Journal
Cancer Chemopreventive Effect of 2′,4′-Dihydroxy-6′-methoxy-3′,5′-dimethylchalcone on Diethylnitrosamine-Induced Early Stages of Hepatocarcinogenesis in Rats
Previous Article in Journal
Structure–Activity Relationship of Natural Dihydrochalcones and Chalcones, and Their Respective Oxyalkylated Derivatives as Anti-Saprolegnia Agents
Previous Article in Special Issue
Integrated Transcriptomic and Proteomic Analysis Reveals Molecular Mechanisms of the Cold Stress Response during the Overwintering Period in Blueberries (Vaccinium spp.)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

DNA Methylation Dynamics in Response to Drought Stress in Crops

State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China
*
Author to whom correspondence should be addressed.
Plants 2024, 13(14), 1977; https://doi.org/10.3390/plants13141977
Submission received: 26 June 2024 / Revised: 15 July 2024 / Accepted: 17 July 2024 / Published: 19 July 2024
(This article belongs to the Special Issue Abiotic and Biotic Stress of the Crops and Horticultural Plants)

Abstract

:
Drought is one of the most hazardous environmental factors due to its severe damage on plant growth, development and productivity. Plants have evolved complex regulatory networks and resistance strategies for adaptation to drought stress. As a conserved epigenetic regulation, DNA methylation dynamically alters gene expression and chromosome interactions in plants’ response to abiotic stresses. The development of omics technologies on genomics, epigenomics and transcriptomics has led to a rapid increase in research on epigenetic variation in non-model crop species. In this review, we summarize the most recent findings on the roles of DNA methylation under drought stress in crops, including methylating and demethylating enzymes, the global methylation dynamics, the dual regulation of DNA methylation on gene expression, the RNA-dependent DNA methylation (RdDM) pathway, alternative splicing (AS) events and long non-coding RNAs (lnc RNAs). We also discuss drought-induced stress memory. These epigenomic findings provide valuable potential for developing strategies to improve crop drought tolerance.

1. Introduction

Drought poses a significant threat to global agricultural productivity and crop quality [1]. Climate change has exacerbated the scale, frequency, and intensity of drought [2]. Based on reported extreme events from 1964 to 2007, a single drought led to an average loss of 10% in cereal production [3]. In China, climate-related disasters such as droughts and floods have caused damage to rice, maize, soybean and wheat yields ranging from 4.5% to 11.6% during the period of 1982–2012 [4]. However, plants are sessile and unable to escape from adverse circumstances, which may persist throughout the plant’s lifecycle and that of its offspring. To survive current environmental stresses and potential future assaults, plants have evolved a variety of genetic and epigenetic regulatory mechanisms to enhance resistance and memorize the experience.
Drought stress leads to a decrease in cell turgor, resulting in changes in cell wall composition and structure, as well as damage to the plasma membrane and cell wall [5,6]. Osmosensors, such as Histidine kinases (HKs), DROOPY LEAF1 (DPY1), the osmosensitive Ca2+ channels REDUCED HYPEROSMOLALITY-INDUCED CA2+ INCREASE1 (OSCA1), CALCIUM PERMEABLE STRESS-GATED CATION CHANNEL 1 (CSC1) and MID1-COMPLEMENTING ACTIVITYs (MCAs), perceive the effects of drought stress on plant cells [5,6,7,8] (Figure 1). Subsequently, various signaling pathways, including calcium signaling, ABA-dependent and ABA-independent signaling, and reactive oxygen species (ROS) are activated [6,9,10]. Multiple regulatory processes at the transcriptional, post-transcriptional, post-translational, and epigenetic levels are integrated in the plant’s response to drought. The molecular mechanisms of drought stress perception and signaling pathways have been comprehensively reviewed in recent publications [6,9,11,12,13].
Along with the significant advancements in understanding the genetic basis of abiotic stress signaling and responses in plants, there has been a growing focus on the intricate epigenetic regulatory mechanisms triggered by abiotic stresses. Epigenetic regulation involves three main events: DNA methylation, histone post-translational modifications and RNA-mediated gene silencing [14]. Methylation on the fifth position of the pyrimidine ring of cytosine (5-methylcytosine, 5 mC) or the sixth position of the purine ring of adenine (N6-methyladenosine, 6 mA) have been frequently detected as epigenetic markers in eukaryotes [15,16,17]. In plants, methylation of cytosine bases predominantly occurs in all three sequence contexts, CG, CHG and CHH (where H refers to A, T or C) [16,18]. DNA methylation primarily maintains genome stability and plays a crucial role in gene regulation in response to environmental factors [19,20,21].
The available methods of DNA methylation analysis, such as Whole-genome Bisulfite Sequencing (WGBS), Methylation-Sensitive Amplification Polymorphism Sequencing (MSAP-Seq) and MethylRAD, have been described in previous reports [22,23]. Among them, WGBS is the gold standard for analyzing dynamic DNA methylomes at single-base resolution. The model plant Arabidopsis was the first plant to have its genome sequenced and its whole-genome methylome mapped [24,25,26]. In Arabidopsis, the involvement of DNA methylation in response to biotic and abiotic stress has been extensively studied [18,27,28].
Recently, whole-genome methylome analyses have been applied in non-model crops with the availability of high-quality reference genomes. The combination of WGBS and RNA sequencing is an efficient strategy for a comprehensive evaluation of the relationship between methylome and gene expression. In this review, we highlight the current achievements in DNA methylation dynamics in response to drought stress. These recent reports indicate the conservation and divergence of epigenetic strategies in crops exposed to abiotic stress and provide a foundation for genetic manipulation to improve stress resistance in crops.

2. DNA Methyltransferases and Demethylases in Drought Tolerance

A dynamic balance between DNA methylation and demethylation through precise regulation is essential for various cellular biological processes. Different enzymes have been characterized to activate or deactivate specific DNA methylation states [28]. In Arabidopsis, CG, CHG and CHH cytosine methylation are preferentially catalyzed by METHYLTRANSFERASE 1 (MET1), CHROMOMETHYLASE 3 (CMT3) and DOMAINS REARRANGED METHYLASE 2 (DRM2), respectively [29,30]. DNA demethylation is performed by a family of four DNA glycosylases, including REPRESSOR OF SILENCING 1 (ROS1), TRANSCRIPTIONAL ACTIVATOR DEMETER (DME), DEMETER-LIKE PROTEIN 2 (DML2) and DML3 [31,32]. The nucleosome remodeler DECREASED IN DNA METHYLATION 1 (DDM1) plays a critical role in maintaining DNA methylation of transposable elements [33].
Groups of DNA methyltransferases and demethylases have been identified and functionally characterized in crops [34,35,36,37,38]. In rice, a total of nine DNA methyltransferases (two MET, three CMT, and four DRM) have been identified [34]. The gene numbers in MET and DRM family are duplicated compared with that in Arabidopsis. Similarly to their Arabidopsis homologues, OsMET1b, OsCMT3a and OsDRM2 are the main methylases for CG, CHG and CHH methylation, respectively [39]. A slight difference was observed in CMT2, which does not affect CHG methylation in rice but maintains both CHH and CHG methylation in Arabidopsis [39]. This indicates a conserved mechanism in DNA methylation in Arabidopsis and crops.
Gene expression profiling has shown that drought stress alters the transcriptional levels of genes encoding DNA methyltransferases and demethylases [34,35,36,37,38]. A rhythmic expression between DNA methyltransferase and demethylase genes was observed in apple [40] and mulberry [41] under drought stress at different time points, suggesting a coordinated response between DNA methylation and demethylation.
Suppression of DNA methyltransferases may activate the expression of stress response genes [42]. Mutants of cmt2 and drm2 in Arabidopsis showed increased tolerance to heat stress and cold stress, respectively [43,44]. The application of 5-azacytidine, an inhibitor of DNA methyltransferase, enhanced freezing tolerance in Arabidopsis [44]. Similarly, downregulation of the nucleosome remodeler DDM1 in poplar RNAi lines showed more tolerance to drought-induced cavitation by regulating genes involved in hormone-related stress responses [45]. Cotton plants injected with the DNA methylation inhibitory reagent 5-azacytidine also showed improved drought resistance [46].

3. Methylation Landscapes under Drought Stress

The level of DNA methylation varies across plant kingdom [47]. A positive correlation was found between the DNA methylation level (CG and CHG context) and genome size [47,48]. Due to the variation in both the size and level of methylated regions between species, the effect of drought stress on DNA methylation patterns is species-specific. When comparing methylomes under drought stress, the overall methylation level has remained unchanged in Arabidopsis [49]; increased in mulberry [41], linseed [50] and P. trichocarpa [51]; and significantly decreased in faba bean [52], perennial ryegrass [53] and P. tomentosa [54]. Additionally, a higher methylation level induced by drought stress was observed in the drought-sensitive line than that in the drought-tolerant line of rice [55], maize [56], mungbean [57], wheat [58] and P. tomentosa [54], suggesting a negative correlation between DNA methylation and drought resistance.
Among the three DNA methylation contexts, the CHH methylation level shows the highest correlation with drought stress in most crops [46,55,59]. However, in mulberry, the CG methylation level shows a higher correlation with drought stress [41]. Furthermore, drought-induced changes in CHH methylation predominantly occurred at TE sequences and/or gene promoter regions [40,49,55,59].

4. Correlation between DNA Methylation and Gene Expression

The role of DNA methylation varies in different genomic regions. Methylation near gene promoters typically suppresses gene expression by preventing the binding of transcription factors [23,60]. Nevertheless, there are numerous exceptions that suggest a complex relationship between promoter methylation and gene expression [61,62]. DNA methylation in gene bodies is likely linked to transcript elongation, alternative splicing (see Section 6) and the suppression of repetitive DNA elements [60,63].
Through an integrated analysis of transcriptome and methylome data, a relatively conserved relationship between DNA methylation density and the gene expression level has been observed in Arabidopsis and other crops in response to drought stress [27,51,55]. Generally, the gene expression level is positively correlated with the methylation levels in gene bodies (especially in the CG context) and/or distal promoter regions (especially in the CHH context) but negatively correlated with methylation density at the transcription start site (TSS), transcription termination site (TTS) and downstream regions. Hypermethylation of TE regions may contribute to transposon suppression, and the expression level of genes can be affected by nearby TEs [27,51,55].
Differentially methylated regions induced by drought stress play an important role in determining expression levels of stress-responsive genes. Groups of candidate genes, whose expression levels were correlated to DNA methylation, were discovered using both WGBS and RNA-seq. Many of these genes were enriched in stress response pathways such as hormone signaling pathways, transcription factors, programmed cell death, and reactive oxygen species (ROS) synthesis. Specifically, changes in the CHH context under drought stress contributed to higher expression of drought-related transcription factors, including members of AP2, WRKY, MYB, NAC, and bHLH transcription factor families [40,41,51,55,59,64,65].
Several key genes have been characterized to show an association with DNA methylation, transcriptional expression, and drought tolerance. For example, in maize, an increased level of DNA methylation at the ZmNAC111 promoter leads to a reduction in its expression and increased drought sensitivity [66]. Methylation at the HvCKX2.1 promoter is induced by drought stress and accelerates shoot emergence in barley [67]. Additionally, the expression of MdRFNR1, a positive regulator of drought tolerance in apple, is induced by methylation on a MITE insertion in its promoter [68].

5. The RNA-Dependent DNA Methylation Pathway

The RNA-directed DNA methylation (RdDM) pathway is a unique process in plants that non-coding RNA initiates de novo DNA methylation in a sequence-specific manner [28,69]. The canonical RdDM pathway identified in Arabidopsis generates 24 small interfering RNAs (siRNAs) that interact with DNA methyltransferases to establish de novo DNA methylation (Figure 2) [28,69]. The siRNA precursors are initially produced by RNA POLYMERASE IV (POL IV) and converted into double-stranded RNA (dsRNA) by RNA-DEPENDENT RNA POLYMERASE 2 (RDR2). The dsRNAs are then split into 24-nt siRNAs by DICER-LIKE PROTEIN 3 (DCL3) and loaded onto ARGONAUTE 4 (AGO4) and AGO6 proteins. Scaffold RNAs, which are transcribed by POL V, are complementary with 24-nt siRNAs and de novo methylated by DRM2 at the target locus. Many accessory proteins are required in the process. POL IV, SAWADEE HOMEODOMAIN HOMOLOGUE 1 (SHH1) and SNF2 DOMAIN-CONTAINING PROTEIN CLASSY 1 (CLSY1) interact with each other. SHH1 binds to dimethylated histone H3 lysine 9 (H3K9me2), and CLSY1 is a chromatin-remodeling protein. RNA-DIRECTED DNA METHYLATION 3 (RDM3) is a transcription elongation factor of POL V and enhances the interaction of AGO4/6 and POL V. The DDR complex, which is assembled by DEFECTIVE IN RNADIRECTED DNA METHYLATION 1 (DRD1), DEFECTIVE IN MERISTEM SILENCING 3 (DMS3) and RDM1, is required for chromatin remodeling to facilitate of POL V. RDM1 also plays a key role in the reaction of de novo DNA methylation through interaction with both AGO4 and DRM2. VARIEGATION 3–9 HOMOLOG PROTEIN 2 (SUVH2) and SUVH9 aid in the recruitment of POL V at the proper location through the recognition of methylated cytosine and interaction with the DDR complex.
RdDM pathway primarily suppresses TE expression through de novo DNA methylation on new TE insertions and maintenance of stable methylation over existing TEs [69,70]. The activity of TEs triggered under abiotic stress is reinforced by the RdDM pathway. For example, one TE family Rider retrotransposon in tomato was activated by drought stress and controlled by the RdDM pathway [71]. The RdDM pathway is also associated with methylation over TE elements at the promoter region of ZmNAC111 in maize [66], HvCKX2.1 in barley [67], and MdRFNR1 in apple [68] under drought stress. In rice and maize, changes in siRNA abundance and DNA methylation induced by water deficit showed a positive correlation at different genetic regions [56,72]. These results suggest the involvement of the RdDM pathway in response to drought stress in crops.

6. Alternative Splicing Regulated by DNA Methylation under Drought Stress

Recent evidence has demonstrated the role of DNA methylation in the regulation of alternative splicing (AS), partly through changes in methylation status on alternatively spliced exons [73,74]. AS is an important mechanism that enables the generation of multiple transcript isoforms from a single gene [75]. It serves as a fundamental post-transcriptional regulatory process that influences the stability, expression, or subcellular localization of specific isoforms [73]. Approximately 42% to 61% of genes in plants undergo alternative splicing [76]. AS events contribute to the reprogramming of the transcriptome in various aspects of plant development, including seed germination, flowering, and the circadian clock [77,78,79]. In plants, AS also plays a crucial role in acquiring abiotic stress tolerance, particularly in ABA signaling-mediated drought resistance [80].
Genes can undergo two types of AS, classical and alternative cis-splicing (termed cis-splicing), and genetic and self-trans-splicing (termed trans-splicing) [81]. AS events are performed by the spliceosomal complex in the nucleus, which is facilitated by several splicing factors such as members of the SERINE/ARGININE (SR) proteins [82]. Three kinases, namely the serine/arginine protein kinases (SRPKs), pre-mRNA processing factor 4 (PRP4Ks) protein kinases, and Arabidopsis FUS3 complement (AFC), have been identified as essential for spliceosome formation and splice site recognition [82,83,84]. The differential expression of these splicing-related kinases in Arabidopsis, rice, and wheat under abiotic stress suggests their involvement in stress response [82,83,84].
A higher level of DNA methylation was observed in exon compared to flanking introns [73]. Therefore, the differential distribution of DNA methylation levels in the gene body is considered as a marker for distinguishing exons from introns [73]. DNA methylation can influence both exon selection and alternative splicing of mRNA precursors [73,75]. However, the relationship between DNA methylation and AS events varies among crops under drought stress. In maize, the DNA methylation level at the gene body was positively correlated with AS events but negatively correlated with gene expression, indicating the dual regulation of DNA methylation on gene expression and AS in response to drought stress [56]. In linseed varieties, AS events rapidly accumulated under drought stress but were not associated with gene body methylation dynamics [50]. In P. trichocarpa, the relationship between methylation and cis-splicing events was not found because methylated sites were absent in the majority of cis-splicing genes [51]. This suggests different mechanisms in the regulation of alternative splicing in crops.
However, the current understanding of the association between AS and DNA methylation is limited to second-generation sequencing technologies, which produce short reads and may not accurately predict AS. Recent advancements in third-generation sequencing technology, providing longer reads to directly detect epigenetic modifications of transcriptional isoforms [85,86], will offer valuable insights into the epigenetic regulation of AS under abiotic stresses in crops.

7. Long Noncoding RNAs and DNA Methylation under Drought Stress

Long noncoding RNAs (lncRNAs) are a class of RNA transcripts longer than 200 nucleotides that are not translated into functional proteins [87,88]. They can affect the stability of cytoplasmic mRNAs and control different stages of mRNA processing such as splicing, turnover and translation [87,89]. Plant lncRNAs are involved in essential biological processes, including vernalization, fertility, photosynthesis pathways, and responses to biotic/abiotic stresses, based on their tissue- and condition-specific expression patterns [90,91]. Studies have shown that the expression of many lncRNAs is responsive to drought stress in Arabidopsis [92], maize [93] and Morus alba [94].
Recent research has revealed the interplay between DNA methylation and lncRNAs. The expression levels of lncRNAs are negatively regulated by DNA methylation in all three sequence contexts, both in their flanking and body regions [95]. LncRNAs also play a role in guiding DNA methylation in gene promoters by interacting with DNA methyltransferases, thereby influencing gene expression at the epigenetic level [96].
The involvement of lncRNAs and DNA methylation under drought conditions has been observed in crops. In cotton, lncRNAs may undergo splicing into microRNAs, which regulate methylation in response to drought stress [46]. In rice, lncRNAs and DNA methylation may serve as memory factors in establishing short-term drought memory by activating genes related to drought resilience [97]. However, further research is needed to uncover the detailed mechanism underlying the regulation of epigenetics and lncRNAs.

8. Drought Stress Memory

Plants have evolved a mechanism to acquire memorization of environmental experiences, aiding in their adaptation to recurring stress. Epigenetic stress memory is defined as chromatin marks at certain loci that are induced by environmental inputs and transmittable through cell divisions for the same stress in the future [98]. These environment-triggered epigenetic marks include posttranslational modifications of nucleosomal histones (e.g., acetylation, methylation, phosphorylation, and ubiquitination) and DNA methylation or demethylation at the stress-responsive loci [98]. For example, increased histone H3 lysine-4 trimethylation (H3K4me3) and histone H3 lysine-27 trimethylation (H3K27me3) are often associated with gene activation and repression, respectively [99,100].
A plant is primed by a transient biotic or abiotic stress and stores stress memory over a period of time to perform more quick and vigorous responses when stress recurs. Chromatin-mediated environmental memories are classified into somatic memory and transgenerational memory (Figure 3). Somatic stress memory occurs in only one generation of the organism, whereas transgenerational stress memory can be inherited by at least the first stress-free offspring generation [101]. Somatic stress memory is frequently associated with histone H3K4 methylation and nucleosome occupancy during priming [101]. For instance, the maintenance of H3K4me3 at two drought-inducible genes (RB29B and RAB18) after re-water treatment is essential for drought stress priming [98,102].
Mechanisms underlying intergenerational or transgenerational stress memory are far from clear. Epialleles with differential DNA methylation may be involved in the inheritance of chromatin-based stress memory [101]. In Arabidopsis, epigenetic alterations in DNA methylation are heritable across generations [103,104]. However, the DNA methylation state is predominantly stable within and across six successive generations and impervious to repeated drought stress [105]. Transgenerational effects or inherited stress memory to drought were not found in five Arabidopsis accessions under mild drought [49]. In contrast, the establishment of short-term stress memory related to DNA methylation was found in rice under recurrent drought stresses and recovery treatments [97,106]. Moreover, higher stability and inheritance of DNA methylome under water-deficit stress was observed in drought-tolerant lines than that of drought-sensitive lines in rice [107] and maize [56]. This raises the question of how drought-induced DNA methylation variation underpins transgenerational stress memory. Recent research on white clover [108] and strawberry [109] suggests that a portion of effects triggered by environmental interaction can be inherited, and population history contributes to a stable epigenetic memory in adaptation to drought.

9. Conclusions and Future Perspective

In this review, we have summarized recent studies on DNA methylation in various crops under drought stress (Table 1) and provided insights into the epigenetic response to drought stress (Figure 4). The changes in DNA methylation induced by drought stress vary in species-, genotype- and tissue-specific manners. Among the three DNA methylation contexts, the asymmetric CHH is hypersensitive to drought stress. Most available studies indicate an important role of DNA methylation in regulating the expression of stress-responsive genes. Additionally, RdDM-based DNA methylation potentially targets TEs and genes, silencing them in a sequence-specific manner in response to drought stress. AS events and lncRNAs, which play a crucial role in stress response, may be associated with DNA methylation under drought stress in some crops. However, further exploration of the epigenetic regulation of AS events and lncRNAs under abiotic stresses is necessary.
Several approaches are available for locus-specific manipulation of DNA methylation in plant genomes. One of these approaches is Virus-Induced Gene Silencing (VIGS) technology, which generates siRNAs that can activate the RdDM pathway to silence gene expression [110]. However, traditional methods for epigenetic modifications may result in global alterations in DNA methylation. Recently, epigenome editing technologies have been successfully applied for precise chromatin perturbations [111,112,113]. For example, the fusion protein of Tet1 or Dnmt3a with a catalytically inactive dCas9 has been shown to regulate the methylation status at the promoter region of a targeted reporter gene [112]. A set of epigenome editing tools, consisting of a catalytically inactive dCas9 fused with an optimized GCN4 tail and a library of nine effectors, has been developed for systematic chromatin modifications at specific loci [113]. These emerging epigenetic modification techniques will offer opportunities for epigenetic manipulation at targeted sites in crops to improve their agronomic traits.
The effects of climate change, such as global warming and low rainfall, have accelerated the prevalence of drought stress. There is an urgent necessity to develop climate-resilient crops that can adapt to unpredictable extreme weather conditions. Epigenetic variations are heritable changes that enable plants to cope with environmental stresses without altering DNA sequences. Understanding the connection between epigenetic changes and adaptation to drought stress will facilitate the molecular breeding of important crops. The epigenome, which includes DNA methylation, histone modification, and RNA-mediated gene silencing, should be considered as a whole system. With the advancements in high-throughput techniques such as second- and third-generation sequencing, RNA and chromatin immunoprecipitation (ChIP) sequencing, and single-cell sequencing, it will be easier to draw the epigenomic landscape of drought stress response at single-cell resolution. In the future, developing epigenetic modification techniques and gaining a deeper understanding of epigenetic mechanisms will offer a promising approach to developing crops with heritability and stability to enhance stress tolerance.
Table 1. Recent research on epigenetic modification in crops for drought stress.
Table 1. Recent research on epigenetic modification in crops for drought stress.
Plant SpeciesMethod aKey FindingsRefs
Arabidopsis thalianaWGBS, RNA-seqThe Arabidopsis methylome is stable under transgenerational drought stress[105]
WGBS, RNA-seqNo inherited effects in DNA methylation to mild drought[49]
Brassica napus (oilseed rape)MSAPMethylation changes among four generations in response to drought stress[114]
Camellia sinensis (tea) The expression of methyltransferase and demethylase genes in tea under abiotic stress [38]
Dendrobium huoshanense (Mihu)MSAPDecreased DNA methylation and increased demethylation rate of methylated sites with treatment of exogenous NO and PEG[115]
Eucalyptus globules (blue gum)MS-RAPDDNA methylation was increased over the dehydration period and rapid reduced after rehydration[116]
Fragaria nilgerrensis (wild strawberry)WGBS, RNA-seqDifferential correlation of CG, CHG and CHH with gene expression under drought stress[59]
Fragaria vesca (woodland strawberry)WGBSQuantification of drought-induced changes in DNA methylation in strawberry population[109]
WGBS, RNA-seqCorrelation between DNA methylation, TEs and gene expression regulation under abiotic stresses[64]
Gossypium hirsutum (cotton)WGBSCHH content is most sensitive to drought stress. lncRNAs may cause variations in methylation patterns[46]
Hibiscus cannabinus (Kenaf)MSAPDNA methylation decreased in drought-tolerance hybrid. Knockdown of the DnaJ increased the drought sensitivity in seedling[65]
Hippophae rhamnoides (sea buckhorn)WGBS, RNA-seqIncrease in DNA methylation level by drought stress. Involvement of HrMET1 and HrDRM1 in drought-induced hypermethylation[117]
Hordeum vulgare (barley)MSRE-qPCR, siRNA-seqTerminal drought stress induced DNA methylation at the HvCKX2.1 promoter through RdDM pathway[67]
Locus specific BS-seqThe DNA methylation status of the demethylase gene promoter induced by drought[118]
CRED-RAChanges in methylation pattern of three barley cultivars under drought stress[119]
Linum usitatissimum (linseed)WGBS, RNA-seqRegulation of methylation on alternative splicing under repeated drought stress[50]
Lolium pereme (ryegrass)MSAPDecrease in DNA methylation due to drought exposure and identification of candidate genes[53]
Macrotyloma uniflorum (horse gram)MSAPMethylation was higher in drought-sensitive line than that in drought-tolerant line[120]
Malus domestica (apple)WGBS, RNA-seqThe linkage of DNA methylation and gene expression in drought-sensitive and drought-tolerant cultivars[40]
Locus-specific BS-seqMethylation in the promoter of drought-tolerance gene MdRFNR1 induced its expression[68]
Morus alba (mulberry)WGBS, RNA-seqThe contribution of CG content in response to drought stress[41]
MethylRADChanges in DNA methylome under drought stress[121]
RNA-seqIdentification of differentially expressed lncRNAs and mRNAs under drought stress[94]
Oryza sativa (rice)MSAPIdentification of site-specific DNA methylation induced by drought[122]
ChIP-Seq, RNA-seqIdentification of genes showing changes both in histone modification and expression under drought stress[123]
MSAPThe inheritance of epigenetic variations induced by drought stress[107]
WGBS, RNA-seq, siRNA-seqDifferences in DNA methylation, gene expression and smRNA abundance of three rice cultivars in response to drought[72]
MeDIP-seq, MircoarrayDifferential methylated region/genes in two rice cultivars under drought stress[124]
WGBS, ssRNA-seqDetection of differentially expressed transcripts and lncRNAs under repeated drought stress[97]
MSAPDifferential methylation and gene expression associated with drought adaptation[125]
WGBS, RNA-seqThe correlation between hypomethylation in CHH context and higher expression of stress responsive genes[55]
WGBSIdentification of drought stress memory-related differentially methylated regions[106]
WGBS, RNA-seqDifferential methylation regions and expressed genes in two rice accessions for tolerance to drought stress[126]
P. deltoides × P. nigraHPLCDNA methylation under changing water conditions depends on development and genotype[127]
P. deltoides, P. nigra and P. laurifolia hybridsMicroarrayEpigenomic basis for transcriptome divergence in the clone history[128]
P. deltoides × P. nigra hybridsHPLCThe correlation between DNA methylation level and productivity[129]
P. tomentosaWGBS, RNA-seqThe relationship of DNA methylation diversity and drought resistance[54]
P. trichocarpaWGBS, RNA-seqUnmethylated cis-splicing sites and methylated trans-splicing sites[51]
Populus × euramericanaMicroarrayCoordinated variations in DNA methylation and gene expression in reponse to water availability[130]
P. tremula × P. albaWGBS, RNA-seqImproved drought tolerance in DDM1 RNAi lines[45]
Sesamum indicum (sesame)MSAP, RNA-seqDe novo methylation by drought stress and demethylation during the recovery phase[131]
Setaria italica (foxtail millet)BS-PCRH2S signals may mediating DNA methylation on the promoter of six osmotic stress-responsive TFs[132]
Solanum lycopersicum (tomato) DNA methylation and histone modifications in an adaptive water stress-responsive gene[133]
WGBS, siRNA-seqThe controlling of siRNAs and the RdDM pathway on Rider activity[71]
Solanum melongena (eggplant) Dynamic expression of DNA methyltransferases and demethylases induced by drought stress[36]
Solanum tuberosum (potato) Response of five potato cultivars to methylation inhibitor and mannitol[134]
RNA-seqDifferential expression genes under drought stress and DNA methylation inhibitor treatment[135]
Triticum aestivum (wheat)MSAPIdentification of differential methylated TEs under drought stress[136]
MSAPHigher demethylation in drought-tolerant genotype than that in drought-sensitive genotype after drought stress treatment[58]
Differential expression of DNA methyltransferases during drought stress[37]
Vicia faba (faba bean)MSAPDecreased in the total methylation level in leaf due to drought exposure[52]
Vigna radiata (mungbean)WGBS, RNA-seqEffects on CHH contexts by drought stress and genotypic variations[57]
Zea mays (maize)MSRE-qPCR, RNA-seqDNA methylation at the ZmNAC111 promoter represses its expression and increases drought sensitivity[66]
AMP-PCRIsolated and analyzed 18 differentially methylated fragments in seedling subjected to water deficit [137]
MSAPHypo- and hypermethylation of candidate genes induced by drought[138]
MeDIP, RNA-seqStable methylome of drought-tolerant lines. A positive correlation between gene body DNA methylation and splicing events[56]
a Methods for estimation of DNA methylation and gene expression are listed. Abbreviations: WGBS, Whole genome bisulfite sequencing; MSAP, Methylation-sensitive Amplification Polymorphism method; MeDIP-seq, Methylated DNA Immunoprecipitation sequencing; MSRE, Methylation-sensitive Restriction digest; MS-RAPD, Methylation-Sensitive-Random Amplified Polymorphic DNA; AMP-PCR, Amplified methylation polymorphism PCR; ChIP-Seq, Chromatin immunoprecipitation sequencing; CRES-RA, Coupled restriction enzyme digestion-random amplification; HPLC, High Performance Liquid Chromatography; RNA-seq, RNA sequencing; siRNA-seq, small interfering RNA sequencing; ssRNA-seq, whole-transcriptome strand-specific RNA sequencing.

Author Contributions

Conceptualization, X.R., S.L. and P.Y.; data curation, X.R. and S.Y.; formal analysis, X.R. and S.Y.; writing—original draft preparation, X.R.; writing—review and editing, X.R. and P.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This work is supported by the Youth Grant of Hubei University.

Acknowledgments

We thank Ninghui Cheng and Wei Liu for internal review and helpful discussions.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Gilbert, M.E.; Medina, V. Drought Adaptation Mechanisms Should Guide Experimental Design. Trends Plant Sci. 2016, 21, 639–647. [Google Scholar] [CrossRef]
  2. Trenberth, K.E.; Dai, A.; van der Schrier, G.; Jones, P.D.; Barichivich, J.; Briffa, K.R.; Sheffield, J. Global warming and changes in drought. Nat. Clim. Chang. 2014, 4, 17–22. [Google Scholar] [CrossRef]
  3. Lesk, C.; Rowhani, P.; Ramankutty, N. Influence of extreme weather disasters on global crop production. Nature 2016, 529, 84–87. [Google Scholar] [CrossRef] [PubMed]
  4. Shi, W.; Wang, M.; Liu, Y. Crop yield and production responses to climate disasters in China. Sci. Total Environ. 2021, 750, 141147. [Google Scholar] [CrossRef]
  5. Nongpiur, R.C.; Singla-Pareek, S.L.; Pareek, A. The quest for osmosensors in plants. J. Exp. Bot. 2020, 71, 595–607. [Google Scholar] [CrossRef] [PubMed]
  6. Sato, H.; Mizoi, J.; Shinozaki, K.; Yamaguchi-Shinozaki, K. Complex plant responses to drought and heat stress under climate change. Plant J. 2024, 117, 1873–1892. [Google Scholar] [CrossRef]
  7. Shekhawat, J.; Upadhyay, S.K. DPY1 as an osmosensor for drought signaling. Trends Plant Sci. 2024, 29, 616–619. [Google Scholar] [CrossRef] [PubMed]
  8. Zhao, M.; Zhang, Q.; Liu, H.; Tang, S.; Shang, C.; Zhang, W.; Sui, Y.; Zhang, Y.; Zheng, C.; Zhang, H.; et al. The osmotic stress-activated receptor-like kinase DPY1 mediates SnRK2 kinase activation and drought tolerance in Setaria. Plant Cell 2023, 35, 3782–3808. [Google Scholar] [CrossRef] [PubMed]
  9. Zhu, J.K. Abiotic Stress Signaling and Responses in Plants. Cell 2016, 167, 313–324. [Google Scholar] [CrossRef]
  10. Upadhyay, S.K. Calcium Channels, OST1 and Stomatal Defence: Current Status and Beyond. Cells 2022, 12, 127. [Google Scholar] [CrossRef]
  11. Chauhan, D.; Singh, D.; Pandey, H.; Khan, Z.; Srivastava, R.; Dhiman, V.K. Plant Transcription Factors; Srivastava, V., Mishra, S., Mehrotra, S., Upadhyay, S.K., Eds.; Academic Press: Cambridge, MA, USA, 2023; pp. 271–286. [Google Scholar]
  12. Shumayla; Upadhyay, S.K. (Eds.) Plant Receptor-Like Kinases; Academic Press: Cambridge, MA, USA, 2023; pp. 1–23. [Google Scholar]
  13. Taneja, M.; Upadhyay, S.K. Calcium Transport Elements in Plants; Upadhyay, S.K., Ed.; Academic Press: Cambridge, MA, USA, 2021; pp. 1–18. [Google Scholar]
  14. Pikaard, C.S.; Mittelsten Scheid, O. Epigenetic regulation in plants. Cold Spring Harb. Perspect. Biol. 2014, 6, a019315. [Google Scholar] [CrossRef] [PubMed]
  15. Liang, Z.; Geng, Y.; Gu, X. Adenine Methylation: New Epigenetic Marker of DNA and mRNA. Mol. Plant 2018, 11, 1219–1221. [Google Scholar] [CrossRef] [PubMed]
  16. Matzke, M.A.; Mosher, R.A. RNA-directed DNA methylation: An epigenetic pathway of increasing complexity. Nat. Rev. Genet. 2014, 15, 394–408. [Google Scholar] [CrossRef] [PubMed]
  17. Liang, Z.; Shen, L.; Cui, X.; Bao, S.; Geng, Y.; Yu, G.; Liang, F.; Xie, S.; Lu, T.; Gu, X.; et al. DNA N6-Adenine Methylation in Arabidopsis thaliana. Dev. Cell 2018, 45, 406–416 e403. [Google Scholar] [CrossRef] [PubMed]
  18. Zhang, X.; Yazaki, J.; Sundaresan, A.; Cokus, S.; Chan, S.W.; Chen, H.; Henderson, I.R.; Shinn, P.; Pellegrini, M.; Jacobsen, S.E.; et al. Genome-wide high-resolution mapping and functional analysis of DNA methylation in arabidopsis. Cell 2006, 126, 1189–1201. [Google Scholar] [CrossRef] [PubMed]
  19. Oberkofler, V.; Pratx, L.; Baurle, I. Epigenetic regulation of abiotic stress memory: Maintaining the good things while they last. Curr. Opin. Plant Biol. 2021, 61, 102007. [Google Scholar] [CrossRef] [PubMed]
  20. Liu, Y.; Wang, J.; Liu, B.; Xu, Z.Y. Dynamic regulation of DNA methylation and histone modifications in response to abiotic stresses in plants. J. Integr. Plant Biol. 2022, 64, 2252–2274. [Google Scholar] [CrossRef]
  21. Sharma, M.; Kumar, P.; Verma, V.; Sharma, R.; Bhargava, B.; Irfan, M. Understanding plant stress memory response for abiotic stress resilience: Molecular insights and prospects. Plant Physiol. Biochem. 2022, 179, 10–24. [Google Scholar] [CrossRef]
  22. Kurdyukov, S.; Bullock, M. DNA Methylation Analysis: Choosing the Right Method. Biology 2016, 5, 3. [Google Scholar] [CrossRef]
  23. Yadav, S.; Meena, S.; Kalwan, G.; Jain, P.K. DNA methylation: An emerging paradigm of gene regulation under drought stress in plants. Mol. Biol. Rep. 2024, 51, 311. [Google Scholar] [CrossRef]
  24. Arabidopsis Genome, I. Analysis of the genome sequence of the flowering plant Arabidopsis thaliana. Nature 2000, 408, 796–815. [Google Scholar] [CrossRef]
  25. Cokus, S.J.; Feng, S.; Zhang, X.; Chen, Z.; Merriman, B.; Haudenschild, C.D.; Pradhan, S.; Nelson, S.F.; Pellegrini, M.; Jacobsen, S.E. Shotgun bisulphite sequencing of the Arabidopsis genome reveals DNA methylation patterning. Nature 2008, 452, 215–219. [Google Scholar] [CrossRef]
  26. Lister, R.; O’Malley, R.C.; Tonti-Filippini, J.; Gregory, B.D.; Berry, C.C.; Millar, A.H.; Ecker, J.R. Highly integrated single-base resolution maps of the epigenome in Arabidopsis. Cell 2008, 133, 523–536. [Google Scholar] [CrossRef]
  27. Zilberman, D.; Gehring, M.; Tran, R.K.; Ballinger, T.; Henikoff, S. Genome-wide analysis of Arabidopsis thaliana DNA methylation uncovers an interdependence between methylation and transcription. Nat. Genet. 2007, 39, 61–69. [Google Scholar] [CrossRef]
  28. Zhang, H.; Lang, Z.; Zhu, J.K. Dynamics and function of DNA methylation in plants. Nat. Rev. Mol. Cell Biol. 2018, 19, 489–506. [Google Scholar] [CrossRef]
  29. Lindroth, A.M.; Cao, X.; Jackson, J.P.; Zilberman, D.; McCallum, C.M.; Henikoff, S.; Jacobsen, S.E. Requirement of CHROMOMETHYLASE3 for maintenance of CpXpG methylation. Science 2001, 292, 2077–2080. [Google Scholar] [CrossRef]
  30. Stroud, H.; Do, T.; Du, J.; Zhong, X.; Feng, S.; Johnson, L.; Patel, D.J.; Jacobsen, S.E. Non-CG methylation patterns shape the epigenetic landscape in Arabidopsis. Nat. Struct. Mol. Biol. 2014, 21, 64–72. [Google Scholar] [CrossRef]
  31. Gong, Z.; Morales-Ruiz, T.; Ariza, R.R.; Roldan-Arjona, T.; David, L.; Zhu, J.K. ROS1, a repressor of transcriptional gene silencing in Arabidopsis, encodes a DNA glycosylase/lyase. Cell 2002, 111, 803–814. [Google Scholar] [CrossRef]
  32. Ortega-Galisteo, A.P.; Morales-Ruiz, T.; Ariza, R.R.; Roldan-Arjona, T. Arabidopsis DEMETER-LIKE proteins DML2 and DML3 are required for appropriate distribution of DNA methylation marks. Plant Mol. Biol. 2008, 67, 671–681. [Google Scholar] [CrossRef] [PubMed]
  33. Zemach, A.; Kim, M.Y.; Hsieh, P.H.; Coleman-Derr, D.; Eshed-Williams, L.; Thao, K.; Harmer, S.L.; Zilberman, D. The Arabidopsis nucleosome remodeler DDM1 allows DNA methyltransferases to access H1-containing heterochromatin. Cell 2013, 153, 193–205. [Google Scholar] [CrossRef] [PubMed]
  34. Sharma, R.; Mohan Singh, R.K.; Malik, G.; Deveshwar, P.; Tyagi, A.K.; Kapoor, S.; Kapoor, M. Rice cytosine DNA methyltransferases—gene expression profiling during reproductive development and abiotic stress. FEBS J. 2009, 276, 6301–6311. [Google Scholar] [CrossRef]
  35. Qian, Y.; Xi, Y.; Cheng, B.; Zhu, S. Genome-wide identification and expression profiling of DNA methyltransferase gene family in maize. Plant Cell Rep. 2014, 33, 1661–1672. [Google Scholar] [CrossRef]
  36. Moglia, A.; Gianoglio, S.; Acquadro, A.; Valentino, D.; Milani, A.M.; Lanteri, S.; Comino, C. Identification of DNA methyltransferases and demethylases in Solanum melongena L., and their transcription dynamics during fruit development and after salt and drought stresses. PLoS ONE 2019, 14, e0223581. [Google Scholar] [CrossRef]
  37. Gahlaut, V.; Samtani, H.; Khurana, P. Genome-wide identification and expression profiling of cytosine-5 DNA methyltransferases during drought and heat stress in wheat (Triticum aestivum). Genomics 2020, 112, 4796–4807. [Google Scholar] [CrossRef]
  38. Zhu, C.; Zhang, S.; Zhou, C.; Chen, L.; Fu, H.; Li, X.; Lin, Y.; Lai, Z.; Guo, Y. Genome-wide investigation and transcriptional analysis of cytosine-5 DNA methyltransferase and DNA demethylase gene families in tea plant (Camellia sinensis) under abiotic stress and withering processing. Peer J. 2020, 8, e8432. [Google Scholar] [CrossRef]
  39. Hu, D.; Yu, Y.; Wang, C.; Long, Y.; Liu, Y.; Feng, L.; Lu, D.; Liu, B.; Jia, J.; Xia, R.; et al. Multiplex CRISPR-Cas9 editing of DNA methyltransferases in rice uncovers a class of non-CG methylation specific for GC-rich regions. Plant Cell 2021, 33, 2950–2964. [Google Scholar] [CrossRef]
  40. Xu, J.; Zhou, S.; Gong, X.; Song, Y.; van Nocker, S.; Ma, F.; Guan, Q. Single-base methylome analysis reveals dynamic epigenomic differences associated with water deficit in apple. Plant Biotechnol. J. 2018, 16, 672–687. [Google Scholar] [CrossRef]
  41. Li, R.; Hu, F.; Li, B.; Zhang, Y.; Chen, M.; Fan, T.; Wang, T. Whole genome bisulfite sequencing methylome analysis of mulberry (Morus alba) reveals epigenome modifications in response to drought stress. Sci. Rep. 2020, 10, 8013. [Google Scholar] [CrossRef]
  42. Le, T.N.; Schumann, U.; Smith, N.A.; Tiwari, S.; Au, P.C.; Zhu, Q.H.; Taylor, J.M.; Kazan, K.; Llewellyn, D.J.; Zhang, R.; et al. DNA demethylases target promoter transposable elements to positively regulate stress responsive genes in Arabidopsis. Genome Biol. 2014, 15, 458. [Google Scholar] [CrossRef]
  43. Shen, X.; De Jonge, J.; Forsberg, S.K.; Pettersson, M.E.; Sheng, Z.; Hennig, L.; Carlborg, O. Natural CMT2 variation is associated with genome-wide methylation changes and temperature seasonality. PLoS Genet. 2014, 10, e1004842. [Google Scholar] [CrossRef] [PubMed]
  44. Xie, H.; Sun, Y.; Cheng, B.; Xue, S.; Cheng, D.; Liu, L.; Meng, L.; Qiang, S. Variation in ICE1 Methylation Primarily Determines Phenotypic Variation in Freezing Tolerance in Arabidopsis thaliana. Plant Cell Physiol. 2019, 60, 152–165. [Google Scholar] [CrossRef]
  45. Sow, M.D.; Le Gac, A.L.; Fichot, R.; Lanciano, S.; Delaunay, A.; Le Jan, I.; Lesage-Descauses, M.C.; Citerne, S.; Caius, J.; Brunaud, V.; et al. RNAi suppression of DNA methylation affects the drought stress response and genome integrity in transgenic poplar. New Phytol. 2021, 232, 80–97. [Google Scholar] [CrossRef] [PubMed]
  46. Lu, X.; Wang, X.; Chen, X.; Shu, N.; Wang, J.; Wang, D.; Wang, S.; Fan, W.; Guo, L.; Guo, X.; et al. Single-base resolution methylomes of upland cotton (Gossypium hirsutum L.) reveal epigenome modifications in response to drought stress. BMC Genomics 2017, 18, 297. [Google Scholar] [CrossRef] [PubMed]
  47. Niederhuth, C.E.; Bewick, A.J.; Ji, L.; Alabady, M.S.; Kim, K.D.; Li, Q.; Rohr, N.A.; Rambani, A.; Burke, J.M.; Udall, J.A.; et al. Widespread natural variation of DNA methylation within angiosperms. Genome Biol. 2016, 17, 194. [Google Scholar] [CrossRef]
  48. Alonso, C.; Perez, R.; Bazaga, P.; Herrera, C.M. Global DNA cytosine methylation as an evolving trait: Phylogenetic signal and correlated evolution with genome size in angiosperms. Front. Genet. 2015, 6, 4. [Google Scholar] [CrossRef] [PubMed]
  49. Van Dooren, T.J.M.; Silveira, A.B.; Gilbault, E.; Jimenez-Gomez, J.M.; Martin, A.; Bach, L.; Tisne, S.; Quadrana, L.; Loudet, O.; Colot, V. Mild drought in the vegetative stage induces phenotypic, gene expression, and DNA methylation plasticity in Arabidopsis but no transgenerational effects. J. Exp. Bot. 2020, 71, 3588–3602. [Google Scholar] [CrossRef] [PubMed]
  50. Wang, L.; Wang, L.; Tan, M.; Wang, L.; Zhao, W.; You, J.; Wang, L.; Yan, X.; Wang, W. The pattern of alternative splicing and DNA methylation alteration and their interaction in linseed (Linum usitatissimum L.) response to repeated drought stresses. Biol. Res. 2023, 56, 12. [Google Scholar] [CrossRef] [PubMed]
  51. Liang, D.; Zhang, Z.; Wu, H.; Huang, C.; Shuai, P.; Ye, C.Y.; Tang, S.; Wang, Y.; Yang, L.; Wang, J.; et al. Single-base-resolution methylomes of Populus trichocarpa reveal the association between DNA methylation and drought stress. BMC Genet. 2014, 15 (Suppl. 1), S9. [Google Scholar] [CrossRef]
  52. Abid, G.; Mingeot, D.; Muhovski, Y.; Mergeai, G.; Aouida, M.; Abdelkarim, S.; Aroua, I.; El Ayed, M.; M’hamdi, M.; Sassi, K.; et al. Analysis of DNA methylation patterns associated with drought stress response in faba bean (Vicia faba L.) using methylation-sensitive amplification polymorphism (MSAP). Environ. Exp. Bot. 2017, 142, 34–44. [Google Scholar] [CrossRef]
  53. Tang, X.M.; Tao, X.; Wang, Y.; Ma, D.W.; Li, D.; Yang, H.; Ma, X.R. Analysis of DNA methylation of perennial ryegrass under drought using the methylation-sensitive amplification polymorphism (MSAP) technique. Mol. Genet. Genomics 2014, 289, 1075–1084. [Google Scholar] [CrossRef]
  54. Zhou, J.; Xiao, L.; Huang, R.; Song, F.; Li, L.; Li, P.; Fang, Y.; Lu, W.; Lv, C.; Quan, M.; et al. Local diversity of drought resistance and resilience in Populus tomentosa correlates with the variation of DNA methylation. Plant Cell Environ. 2023, 46, 479–497. [Google Scholar] [CrossRef] [PubMed]
  55. Rajkumar, M.S.; Shankar, R.; Garg, R.; Jain, M. Bisulphite sequencing reveals dynamic DNA methylation under desiccation and salinity stresses in rice cultivars. Genomics 2020, 112, 3537–3548. [Google Scholar] [CrossRef] [PubMed]
  56. Wang, Q.; Xu, J.; Pu, X.; Lv, H.; Liu, Y.; Ma, H.; Wu, F.; Wang, Q.; Feng, X.; Liu, T.; et al. Maize DNA Methylation in Response to Drought Stress Is Involved in Target Gene Expression and Alternative Splicing. Int. J. Mol. Sci. 2021, 22, 8285. [Google Scholar] [CrossRef] [PubMed]
  57. Zhao, P.; Ma, B.; Cai, C.; Xu, J. Transcriptome and methylome changes in two contrasting mungbean genotypes in response to drought stress. BMC Genomics 2022, 23, 80. [Google Scholar] [CrossRef] [PubMed]
  58. Kaur, A.; Grewal, A.; Sharma, P. Comparative analysis of DNA methylation changes in two contrasting wheat genotypes under water deficit. Biol. Plant 2018, 62, 471–478. [Google Scholar] [CrossRef]
  59. Cao, Q.; Huang, L.; Li, J.; Qu, P.; Tao, P.; Crabbe, M.J.C.; Zhang, T.; Qiao, Q. Integrated transcriptome and methylome analyses reveal the molecular regulation of drought stress in wild strawberry (Fragaria nilgerrensis). BMC Plant Biol. 2022, 22, 613. [Google Scholar] [CrossRef] [PubMed]
  60. Jones, P.A. Functions of DNA methylation: Islands, start sites, gene bodies and beyond. Nat. Rev. Genet. 2012, 13, 484–492. [Google Scholar] [CrossRef] [PubMed]
  61. Lei, M.; Zhang, H.; Julian, R.; Tang, K.; Xie, S.; Zhu, J.K. Regulatory link between DNA methylation and active demethylation in Arabidopsis. Proc. Natl. Acad. Sci. USA 2015, 112, 3553–3557. [Google Scholar] [CrossRef] [PubMed]
  62. Bahar Halpern, K.; Vana, T.; Walker, M.D. Paradoxical role of DNA methylation in activation of FoxA2 gene expression during endoderm development. J. Biol. Chem. 2014, 289, 23882–23892. [Google Scholar] [CrossRef]
  63. Bewick, A.J.; Schmitz, R.J. Gene body DNA methylation in plants. Curr. Opin. Plant Biol. 2017, 36, 103–110. [Google Scholar] [CrossRef]
  64. Lopez, M.E.; Roquis, D.; Becker, C.; Denoyes, B.; Bucher, E. DNA methylation dynamics during stress response in woodland strawberry (Fragaria vesca). Hortic. Res. 2022, 9, uhac174. [Google Scholar] [CrossRef] [PubMed]
  65. Luo, D.; Cao, S.; Li, Z.; Tang, M.; Wang, C.; Mackon, E.; Huang, Z.; Pan, J.; Wu, X.; Wu, Q.; et al. Methyl-sensitive amplification polymorphism (MSAP) analysis provides insights into the DNA methylation underlying heterosis in Kenaf (Hibiscus cannabinus L.) drought tolerance. J. Nat. Fibers 2022, 19, 13665–13680. [Google Scholar] [CrossRef]
  66. Mao, H.; Wang, H.; Liu, S.; Li, Z.; Yang, X.; Yan, J.; Li, J.; Tran, L.S.; Qin, F. A transposable element in a NAC gene is associated with drought tolerance in maize seedlings. Nat. Commun. 2015, 6, 8326. [Google Scholar] [CrossRef] [PubMed]
  67. Surdonja, K.; Eggert, K.; Hajirezaei, M.R.; Harshavardhan, V.T.; Seiler, C.; Wirén, N.; Sreenivasulu, N.; Kuhlmann, M. Increase of DNA methylation at the HvCKX2. 1 promoter by terminal drought stress in barley. Epigenomes 2017, 1, 9. [Google Scholar] [CrossRef]
  68. Niu, C.; Jiang, L.; Cao, F.; Liu, C.; Guo, J.; Zhang, Z.; Yue, Q.; Hou, N.; Liu, Z.; Li, X.; et al. Methylation of a MITE insertion in the MdRFNR1-1 promoter is positively associated with its allelic expression in apple in response to drought stress. Plant Cell 2022, 34, 3983–4006. [Google Scholar] [CrossRef]
  69. Erdmann, R.M.; Picard, C.L. RNA-directed DNA Methylation. PLoS Genet. 2020, 16, e1009034. [Google Scholar] [CrossRef]
  70. Ito, H.; Gaubert, H.; Bucher, E.; Mirouze, M.; Vaillant, I.; Paszkowski, J. An siRNA pathway prevents transgenerational retrotransposition in plants subjected to stress. Nature 2011, 472, 115–119. [Google Scholar] [CrossRef]
  71. Benoit, M.; Drost, H.G.; Catoni, M.; Gouil, Q.; Lopez-Gomollon, S.; Baulcombe, D.; Paszkowski, J. Environmental and epigenetic regulation of Rider retrotransposons in tomato. PLoS Genet. 2019, 15, e1008370. [Google Scholar] [CrossRef]
  72. Garg, R.; Narayana Chevala, V.V.; Shankar, R.; Jain, M. Divergent DNA methylation patterns associated with gene expression in rice cultivars with contrasting drought and salinity stress response. Sci. Rep. 2015, 5, 14922. [Google Scholar] [CrossRef]
  73. Lev Maor, G.; Yearim, A.; Ast, G. The alternative role of DNA methylation in splicing regulation. Trends Genet. 2015, 31, 274–280. [Google Scholar] [CrossRef]
  74. Shayevitch, R.; Askayo, D.; Keydar, I.; Ast, G. The importance of DNA methylation of exons on alternative splicing. RNA 2018, 24, 1351–1362. [Google Scholar] [CrossRef] [PubMed]
  75. Chodavarapu, R.K.; Feng, S.; Bernatavichute, Y.V.; Chen, P.Y.; Stroud, H.; Yu, Y.; Hetzel, J.A.; Kuo, F.; Kim, J.; Cokus, S.J.; et al. Relationship between nucleosome positioning and DNA methylation. Nature 2010, 466, 388–392. [Google Scholar] [CrossRef] [PubMed]
  76. Shang, X.; Cao, Y.; Ma, L. Alternative Splicing in Plant Genes: A Means of Regulating the Environmental Fitness of Plants. Int. J. Mol. Sci. 2017, 18, 432. [Google Scholar] [CrossRef] [PubMed]
  77. Gil, K.E.; Park, M.J.; Lee, H.J.; Park, Y.J.; Han, S.H.; Kwon, Y.J.; Seo, P.J.; Jung, J.H.; Park, C.M. Alternative splicing provides a proactive mechanism for the diurnal CONSTANS dynamics in Arabidopsis photoperiodic flowering. Plant J. 2017, 89, 128–140. [Google Scholar] [CrossRef] [PubMed]
  78. Zhang, H.; Kumimoto, R.W.; Anver, S.; Harmer, S.L. XAP5 CIRCADIAN TIMEKEEPER regulates RNA splicing and the circadian clock by genetically separable pathways. Plant Physiol. 2023, 192, 2492–2506. [Google Scholar] [CrossRef] [PubMed]
  79. Chen, X.; Feng, F.; Qi, W.; Xu, L.; Yao, D.; Wang, Q.; Song, R. Dek35 Encodes a PPR Protein that Affects cis-Splicing of Mitochondrial nad4 Intron 1 and Seed Development in Maize. Mol. Plant 2017, 10, 427–441. [Google Scholar] [CrossRef] [PubMed]
  80. Ling, Y.; Alshareef, S.; Butt, H.; Lozano-Juste, J.; Li, L.; Galal, A.A.; Moustafa, A.; Momin, A.A.; Tashkandi, M.; Richardson, D.N.; et al. Pre-mRNA splicing repression triggers abiotic stress signaling in plants. Plant J. 2017, 89, 291–309. [Google Scholar] [CrossRef] [PubMed]
  81. Bitar, M.; Boroni, M.; Macedo, A.M.; Machado, C.R.; Franco, G.R. The spliced leader trans-splicing mechanism in different organisms: Molecular details and possible biological roles. Front. Genet. 2013, 4, 199. [Google Scholar] [CrossRef] [PubMed]
  82. Rodriguez Gallo, M.C.; Li, Q.; Mehta, D.; Uhrig, R.G. Genome-scale analysis of Arabidopsis splicing-related protein kinase families reveals roles in abiotic stress adaptation. BMC Plant Biol. 2022, 22, 496. [Google Scholar] [CrossRef]
  83. Deepika; Madhu; Upadhyay, S.K. Deciphering the features and functions of serine/arginine protein kinases in bread wheat. Plant Gene 2024, 38, 100451. [Google Scholar] [CrossRef]
  84. Butt, H.; Bazin, J.; Prasad, K.; Awad, N.; Crespi, M.; Reddy, A.S.N.; Mahfouz, M.M. The Rice Serine/Arginine Splicing Factor RS33 Regulates Pre-mRNA Splicing during Abiotic Stress Responses. Cells 2022, 11, 1796. [Google Scholar] [CrossRef] [PubMed]
  85. Tilgner, H.; Grubert, F.; Sharon, D.; Snyder, M.P. Defining a personal, allele-specific, and single-molecule long-read transcriptome. Proc. Natl. Acad. Sci. USA 2014, 111, 9869–9874. [Google Scholar] [CrossRef] [PubMed]
  86. Fullgrabe, J.; Gosal, W.S.; Creed, P.; Liu, S.; Lumby, C.K.; Morley, D.J.; Ost, T.W.B.; Vilella, A.J.; Yu, S.; Bignell, H.; et al. Simultaneous sequencing of genetic and epigenetic bases in DNA. Nat. Biotechnol. 2023, 41, 1457–1464. [Google Scholar] [CrossRef] [PubMed]
  87. Statello, L.; Guo, C.J.; Chen, L.L.; Huarte, M. Gene regulation by long non-coding RNAs and its biological functions. Nat. Rev. Mol. Cell Biol. 2021, 22, 96–118. [Google Scholar] [CrossRef] [PubMed]
  88. Taneja, M.; Shumayla; Upadhyay, S.K. Long Noncoding RNAs in Plants; Upadhyay, S.K., Ed.; Academic Press: Cambridge, MA, USA, 2021; Chapter 1; pp. 1–14. [Google Scholar]
  89. Kung, J.T.; Colognori, D.; Lee, J.T. Long noncoding RNAs: Past, present, and future. Genetics 2013, 193, 651–669. [Google Scholar] [CrossRef] [PubMed]
  90. Karlik, E. Long Noncoding RNAs in Plants; Upadhyay, S.K., Ed.; Academic Press: Cambridge, MA, USA, 2021; Chapter 8; pp. 107–131. [Google Scholar]
  91. Li, C.; Lai, X.; Yu, X.; Xiong, Z.; Chen, J.; Lang, X.; Feng, H.; Wan, X.; Liu, K. Plant long noncoding RNAs: Recent progress in understanding their roles in growth, development, and stress responses. Biochem. Biophys. Res. Commun. 2023, 671, 270–277. [Google Scholar] [CrossRef] [PubMed]
  92. Liu, J.; Jung, C.; Xu, J.; Wang, H.; Deng, S.; Bernad, L.; Arenas-Huertero, C.; Chua, N.H. Genome-wide analysis uncovers regulation of long intergenic noncoding RNAs in Arabidopsis. Plant Cell 2012, 24, 4333–4345. [Google Scholar] [CrossRef] [PubMed]
  93. Zhang, W.; Han, Z.; Guo, Q.; Liu, Y.; Zheng, Y.; Wu, F.; Jin, W. Identification of maize long non-coding RNAs responsive to drought stress. PLoS ONE 2014, 9, e98958. [Google Scholar] [CrossRef]
  94. Ackah, M.; Jin, X.; Zhang, Q.; Amoako, F.K.; Wang, L.; Attaribo, T.; Zhao, M.; Yuan, F.; Herman, R.A.; Qiu, C.; et al. Long noncoding RNA transcriptome analysis reveals novel lncRNAs in Morus alba ‘Yu-711’ response to drought stress. Plant Genome 2022, 17, e20273. [Google Scholar] [CrossRef]
  95. Xu, W.; Yang, T.; Wang, B.; Han, B.; Zhou, H.; Wang, Y.; Li, D.Z.; Liu, A. Differential expression networks and inheritance patterns of long non-coding RNAs in castor bean seeds. Plant J. 2018, 95, 324–340. [Google Scholar] [CrossRef]
  96. Di Ruscio, A.; Ebralidze, A.K.; Benoukraf, T.; Amabile, G.; Goff, L.A.; Terragni, J.; Figueroa, M.E.; De Figueiredo Pontes, L.L.; Alberich-Jorda, M.; Zhang, P.; et al. DNMT1-interacting RNAs block gene-specific DNA methylation. Nature 2013, 503, 371–376. [Google Scholar] [CrossRef] [PubMed]
  97. Li, P.; Yang, H.; Wang, L.; Liu, H.; Huo, H.; Zhang, C.; Liu, A.; Zhu, A.; Hu, J.; Lin, Y.; et al. Physiological and transcriptome analyses reveal short-term responses and formation of memory under drought stress in rice. Front. Genet. 2019, 10, 55. [Google Scholar] [CrossRef] [PubMed]
  98. He, Y.; Li, Z. Epigenetic Environmental Memories in Plants: Establishment, Maintenance, and Reprogramming. Trends Genet. 2018, 34, 856–866. [Google Scholar] [CrossRef] [PubMed]
  99. Avramova, Z. Transcriptional ‘memory’ of a stress: Transient chromatin and memory (epigenetic) marks at stress-response genes. Plant J. 2015, 83, 149–159. [Google Scholar] [CrossRef] [PubMed]
  100. Shen, Y.; Wei, W.; Zhou, D.X. Histone Acetylation Enzymes Coordinate Metabolism and Gene Expression. Trends Plant Sci. 2015, 20, 614–621. [Google Scholar] [CrossRef] [PubMed]
  101. Lamke, J.; Baurle, I. Epigenetic and chromatin-based mechanisms in environmental stress adaptation and stress memory in plants. Genome Biol. 2017, 18, 124. [Google Scholar] [CrossRef] [PubMed]
  102. Ding, Y.; Fromm, M.; Avramova, Z. Multiple exposures to drought ‘train’ transcriptional responses in Arabidopsis. Nat. Commun. 2012, 3, 740. [Google Scholar] [CrossRef] [PubMed]
  103. 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. [Google Scholar] [CrossRef] [PubMed]
  104. Roux, F.; Colome-Tatche, M.; 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. [Google Scholar] [CrossRef]
  105. Ganguly, D.R.; Crisp, P.A.; Eichten, S.R.; Pogson, B.J. The Arabidopsis DNA Methylome Is Stable under Transgenerational Drought Stress. Plant Physiol. 2017, 175, 1893–1912. [Google Scholar] [CrossRef]
  106. Kou, S.; Gu, Q.; Duan, L.; Liu, G.; Yuan, P.; Li, H.; Wu, Z.; Liu, W.; Huang, P.; Liu, L. Genome-wide bisulphite sequencing uncovered the contribution of DNA methylation to rice short-term drought memory formation. J. Plant Growth Regul. 2022, 41, 2903–2917. [Google Scholar] [CrossRef]
  107. Zheng, X.; Chen, L.; Li, M.; Lou, Q.; Xia, H.; Wang, P.; Li, T.; Liu, H.; Luo, L. Transgenerational variations in DNA methylation induced by drought stress in two rice varieties with distinguished difference to drought resistance. PLoS ONE 2013, 8, e80253. [Google Scholar] [CrossRef] [PubMed]
  108. Rendina González, A.P.; Dumalasová, V.; Rosenthal, J.; Skuhrovec, J.; Latzel, V. The role of transgenerational effects in adaptation of clonal offspring of white clover (Trifolium repens) to drought and herbivory. Evol. Ecol. 2017, 31, 345–361. [Google Scholar] [CrossRef]
  109. Kort, H.; Panis, B.; Deforce, D.; Nieuwerburgh, F.; Honnay, O. Ecological divergence of wild strawberry DNA methylation patterns at distinct spatial scales. Mol. Ecol. 2020, 29, 4871–4881. [Google Scholar] [CrossRef]
  110. Gallego-Bartolome, J. DNA methylation in plants: Mechanisms and tools for targeted manipulation. New Phytol. 2020, 227, 38–44. [Google Scholar] [CrossRef] [PubMed]
  111. Wang, J.; Yang, J.; Li, D.; Li, J. Technologies for targeting DNA methylation modifications: Basic mechanism and potential application in cancer. Biochim. Biophys. Acta Rev. Cancer 2021, 1875, 188454. [Google Scholar] [CrossRef]
  112. Liu, X.S.; Wu, H.; Ji, X.; Stelzer, Y.; Wu, X.; Czauderna, S.; Shu, J.; Dadon, D.; Young, R.A.; Jaenisch, R. Editing DNA Methylation in the Mammalian Genome. Cell 2016, 167, 233–247.e217. [Google Scholar] [CrossRef] [PubMed]
  113. Policarpi, C.; Munafo, M.; Tsagkris, S.; Carlini, V.; Hackett, J.A. Systematic epigenome editing captures the context-dependent instructive function of chromatin modifications. Nat. Genet. 2024, 56, 1168–1180. [Google Scholar] [CrossRef]
  114. Yuan, Y.; Zhu, S.; Fang, T.; Jiang, J.; Wang, Y. Analysis of drought resistance and DNA methylation level of resynthesized Brassica napus. Acta Agron. Sin. 2019, 45, 693. [Google Scholar] [CrossRef]
  115. Fan, H.; Li, T.; Guan, L.; Li, Z.; Guo, N.; Cai, Y.; Lin, Y. Effects of exogenous nitric oxide on antioxidation and DNA methylation of Dendrobium huoshanense grown under drought stress. Plant Cell Tissue Org. Cult. 2012, 109, 307–314. [Google Scholar] [CrossRef]
  116. Correia, B.; Valledor, L.; Hancock, R.D.; Jesus, C.; Amaral, J.; Meijon, M.; Pinto, G. Depicting how Eucalyptus globulus survives drought: Involvement of redox and DNA methylation events. Funct. Plant Biol. 2016, 43, 838–850. [Google Scholar] [CrossRef] [PubMed]
  117. Lyu, Z.; Zhang, G.; Song, Y.; Diao, S.; He, C.; Zhang, J. Transcriptome and DNA methylome provide insights into the molecular regulation of drought stress in sea buckthorn. Genomics 2022, 114, 110345. [Google Scholar] [CrossRef] [PubMed]
  118. Drosou, V.; Kapazoglou, A.; Letsiou, S.; Tsaftaris, A.S.; Argiriou, A. Drought induces variation in the DNA methylation status of the barley HvDME promoter. J. Plant Res. 2021, 134, 1351–1362. [Google Scholar] [CrossRef] [PubMed]
  119. Falahi, A.; Zarei, L.; Cheghamirza, K. Most drought-induced DNA methylation changes switched to pre-stress state after re-irrigation in barley (Hordeum vulgare L.) cultivars. Cereal Res. Commun. 2022, 50, 429–438. [Google Scholar] [CrossRef]
  120. Bhardwaj, J.; Mahajan, M.; Yadav, S.K. Comparative analysis of DNA methylation polymorphism in drought-sensitive (HPKC2) and tolerant (HPK4) genotypes of horse Gram (Macrotyloma uniflorum). Biochem. Genet. 2013, 51, 493–502. [Google Scholar] [CrossRef] [PubMed]
  121. Ackah, M.; Guo, L.; Li, S.; Jin, X.; Asakiya, C.; Aboagye, E.T.; Yuan, F.; Wu, M.; Essoh, L.G.; Adjibolosoo, D.; et al. DNA Methylation Changes and Its Associated Genes in Mulberry (Morus alba L.) Yu-711 Response to Drought Stress Using MethylRAD Sequencing. Plants 2022, 11, 190. [Google Scholar] [CrossRef] [PubMed]
  122. Wang, W.S.; Pan, Y.J.; Zhao, X.Q.; Dwivedi, D.; Zhu, L.H.; Ali, J.; Fu, B.Y.; Li, Z.K. Drought-induced site-specific DNA methylation and its association with drought tolerance in rice (Oryza sativa L.). J. Exp. Bot. 2011, 62, 1951–1960. [Google Scholar] [CrossRef] [PubMed]
  123. Zong, W.; Zhong, X.; You, J.; Xiong, L. Genome-wide profiling of histone H3K4-tri-methylation and gene expression in rice under drought stress. Plant Mol. Biol. 2013, 81, 175–188. [Google Scholar] [CrossRef]
  124. Wang, W.; Qin, Q.; Sun, F.; Wang, Y.; Xu, D.; Li, Z.; Fu, B. Genome-wide differences in DNA methylation changes in two contrasting rice genotypes in response to drought conditions. Front. Plant Sci. 2016, 7, 1675. [Google Scholar] [CrossRef]
  125. Sapna, H.; Ashwini, N.; Ramesh, S.; Nataraja, K.N. Assessment of DNA methylation pattern under drought stress using methylation-sensitive randomly amplified polymorphism analysis in rice. Plant Genet. Resour. 2020, 18, 222–230. [Google Scholar] [CrossRef]
  126. Ding, G.; Cao, L.; Zhou, J.; Li, Z.; Lai, Y.; Liu, K.; Luo, Y.; Bai, L.; Wang, X.; Wang, T.; et al. DNA methylation correlates with the expression of drought-responsive genes and drought resistance in rice. Agronomy 2022, 12, 1445. [Google Scholar] [CrossRef]
  127. Le Gac, A.-L.; Lafon-Placette, C.; Delaunay, A.; Maury, S. Developmental, genetic and environmental variations of global DNA methylation in the first leaves emerging from the shoot apical meristem in poplar trees. Plant Signal Behav. 2019, 14, 1596717. [Google Scholar]
  128. Raj, S.; Brautigam, K.; Hamanishi, E.T.; Wilkins, O.; Thomas, B.R.; Schroeder, W.; Mansfield, S.D.; Plant, A.L.; Campbell, M.M. Clone history shapes Populus drought responses. Proc. Natl. Acad. Sci. USA 2011, 108, 12521–12526. [Google Scholar] [CrossRef]
  129. Gourcilleau, D.; Bogeat-Triboulot, M.-B.; Le Thiec, D.; Lafon-Placette, C.; Delaunay, A.; El-Soud, W.A.; Brignolas, F.; Maury, S. DNA methylation and histone acetylation: Genotypic variations in hybrid poplars, impact of water deficit and relationships with productivity. Ann. For. Sci. 2010, 67, 208. [Google Scholar] [CrossRef]
  130. Lafon-Placette, C.; Le Gac, A.L.; Chauveau, D.; Segura, V.; Delaunay, A.; Lesage-Descauses, M.C.; Hummel, I.; Cohen, D.; Jesson, B.; Le Thiec, D.; et al. Changes in the epigenome and transcriptome of the poplar shoot apical meristem in response to water availability affect preferentially hormone pathways. J. Exp. Bot. 2018, 69, 537–551. [Google Scholar] [CrossRef] [PubMed]
  131. Komivi, D.; Marie, A.M.; Rong, Z.; Qi, Z.; Mei, Y.; Ndiaga, C.; Diaga, D.; Linhai, W.; Xiurong, Z. The contrasting response to drought and waterlogging is underpinned by divergent DNA methylation programs associated with transcript accumulation in sesame. Plant Sci. 2018, 277, 207–217. [Google Scholar] [CrossRef] [PubMed]
  132. Hao, X.; Jin, Z.; Wang, Z.; Qin, W.; Pei, Y. Hydrogen sulfide mediates DNA methylation to enhance osmotic stress tolerance in Setaria italica L. Plant Soil. 2020, 453, 355–370. [Google Scholar] [CrossRef]
  133. González, R.M.; Ricardi, M.M.; Iusem, N.D. Epigenetic marks in an adaptive water stress-responsive gene in tomato roots under normal and drought conditions. Epigenetics 2013, 8, 864–872. [Google Scholar] [CrossRef] [PubMed]
  134. Li, P.C.; Bi, Z.Z.; Liang, W.J.; Sun, C.; Zhang, J.L.; Bai, J.P. DNA methylation involved in regulating drought stress response of potato. Acta Agron. Sin. 2019, 45, 1595–1603. [Google Scholar]
  135. Bi, Z.; Wang, Y.; Li, P.; Li, C.; Liu, Y.; Sun, C.; Yao, P.; Liu, Y.; Liu, Z.; Bai, J. Transcriptomics Analysis Reveals a More Refined Regulation Mechanism of Methylation in a Drought-Tolerant Variety of Potato. Genes 2022, 13, 2260. [Google Scholar] [CrossRef]
  136. Hubbard, M.; Germida, J.J.; Vladimir, V. Fungal endophyte colonization coincides with altered DNA methylation in drought-stressed wheat seedlings. Can. J. Plant Sci. 2014, 94, 223–234. [Google Scholar] [CrossRef]
  137. Sallam, N.; Moussa, M.; Yacout, M.; El-Seedy, A. Differential DNA methylation under drought stress in maize. Int. J. Curr. Microbiol. Appl. Sci. 2019, 8, 2527–2543. [Google Scholar] [CrossRef]
  138. Sallam, N.; Moussa, M.; Yacout, M.; El-Seedy, A. Analysis of methylated genomic cytosines of maize inbred line W22 in response to drought stress. Cereal Res. Commun. 2020, 48, 459–465. [Google Scholar] [CrossRef]
Figure 1. Osmosensors mediate drought stress signaling. MID1-COMPLEMENTING ACTIVITY (MCAs), REDUCED HYPEROSMOLALITY-INDUCED CA2+ INCREASE1 (OSCA1), and CALCIUM PERMEABLE STRESS-GATED CATION CHANNEL 1 (CSC1) are Ca2+ channels that become activated in response to drought stress, leading to an increase in cytosolic calcium ions (Ca2+). Calcium-dependent protein kinases (CPKs) sense the elevated Ca2+ levels in the cytosol and initiate downstream signaling cascades. Under drought stress, DROOPY LEAF1 (DPY1) is phosphorylated, resulting in the global phosphorylation of various proteins, including STRESS ACTIVATED PROTEIN KINASE6 (SAPK6), mitogen-activated protein kinases (MAPKs), calcium-dependent protein kinases (CDPKs), and Raf-like kinases (RAFs). Histidine kinases (HKs) located on the plasma membrane also participate in the MAPK signaling pathway.
Figure 1. Osmosensors mediate drought stress signaling. MID1-COMPLEMENTING ACTIVITY (MCAs), REDUCED HYPEROSMOLALITY-INDUCED CA2+ INCREASE1 (OSCA1), and CALCIUM PERMEABLE STRESS-GATED CATION CHANNEL 1 (CSC1) are Ca2+ channels that become activated in response to drought stress, leading to an increase in cytosolic calcium ions (Ca2+). Calcium-dependent protein kinases (CPKs) sense the elevated Ca2+ levels in the cytosol and initiate downstream signaling cascades. Under drought stress, DROOPY LEAF1 (DPY1) is phosphorylated, resulting in the global phosphorylation of various proteins, including STRESS ACTIVATED PROTEIN KINASE6 (SAPK6), mitogen-activated protein kinases (MAPKs), calcium-dependent protein kinases (CDPKs), and Raf-like kinases (RAFs). Histidine kinases (HKs) located on the plasma membrane also participate in the MAPK signaling pathway.
Plants 13 01977 g001
Figure 2. The canonical RNA-directed DNA methylation pathway in Arabidopsis. RNA Polymerase IV (POL IV) interacts with the CLASSY protein (CLSY1) and SAWADEE homeodomain homolog 1 (SHH1), which is bound to dimethylated histone H3 lysine 9 (H3K9me2). POL IV generates single-stranded RNA precursors, and RNA-DEPENDENT RNA POLYMERASE 2 (RDR2) produces double-stranded RNA (dsRNA). DICER-LIKE PROTEIN 3 (DCL3) cleaves the dsRNA into 24-nucleotide small interfering RNAs (siRNAs). The siRNAs bind to ARGONAUTE proteins (AGO4 and AGO6). The AGO-sRNA duplex binds to complementary sequences along an RNA scaffold produced by RNA Polymerase V (Pol V). This reaction is assisted by RDM3, the DDR complex, and SUVH2/9. RDM3 is a putative transcription elongation factor of Pol V. The DDR complex consists of DRD1, DMS3, and RDM1. SUVH2/9 interacts with pre-existing methylated DNA. Domains Rearranged Methyltransferase 2 (DRM2), recruited by AGO-sRNA duplex, catalyzes de novo methylation in nearby DNA.
Figure 2. The canonical RNA-directed DNA methylation pathway in Arabidopsis. RNA Polymerase IV (POL IV) interacts with the CLASSY protein (CLSY1) and SAWADEE homeodomain homolog 1 (SHH1), which is bound to dimethylated histone H3 lysine 9 (H3K9me2). POL IV generates single-stranded RNA precursors, and RNA-DEPENDENT RNA POLYMERASE 2 (RDR2) produces double-stranded RNA (dsRNA). DICER-LIKE PROTEIN 3 (DCL3) cleaves the dsRNA into 24-nucleotide small interfering RNAs (siRNAs). The siRNAs bind to ARGONAUTE proteins (AGO4 and AGO6). The AGO-sRNA duplex binds to complementary sequences along an RNA scaffold produced by RNA Polymerase V (Pol V). This reaction is assisted by RDM3, the DDR complex, and SUVH2/9. RDM3 is a putative transcription elongation factor of Pol V. The DDR complex consists of DRD1, DMS3, and RDM1. SUVH2/9 interacts with pre-existing methylated DNA. Domains Rearranged Methyltransferase 2 (DRM2), recruited by AGO-sRNA duplex, catalyzes de novo methylation in nearby DNA.
Plants 13 01977 g002
Figure 3. Epigenetic and chromatin-based stress memory in plants. Plants acquire stress memory after the initial stress exposure, known as priming, which can enhance their resistance to subsequent stress. Somatic stress memory is temporary. H3K4 hypermethylation, transcriptional memory, nucleosome remodeling, and nucleosome occupancy have been observed in somatic stress memory in response to abiotic stress. Transgenerational stress memory is passed on to stress-free offspring. Heritable epialleles with differential DNA methylation may be involved in the chromatin-based mechanisms of transgenerational stress memory.
Figure 3. Epigenetic and chromatin-based stress memory in plants. Plants acquire stress memory after the initial stress exposure, known as priming, which can enhance their resistance to subsequent stress. Somatic stress memory is temporary. H3K4 hypermethylation, transcriptional memory, nucleosome remodeling, and nucleosome occupancy have been observed in somatic stress memory in response to abiotic stress. Transgenerational stress memory is passed on to stress-free offspring. Heritable epialleles with differential DNA methylation may be involved in the chromatin-based mechanisms of transgenerational stress memory.
Plants 13 01977 g003
Figure 4. Role of DNA methylation in response to drought stress in plants. Drought stress induces DNA methylation modifications. DNA methylation is maintained by DNA methyltransferases and demethylases. De novo methylation can occur through the RdDM pathway in plants. Additionally, alternative splicing and long noncoding RNAs play a role in the response to drought stress. DNA methylation may influence alternative splicing events in stress response and interact with long noncoding RNAs. The modifications in DNA methylation, alternative splicing, and long noncoding RNAs contribute to the reprogramming of the transcriptome, including the expression of stress-responsive genes. RdDM, RNA-directed DNA methylation.
Figure 4. Role of DNA methylation in response to drought stress in plants. Drought stress induces DNA methylation modifications. DNA methylation is maintained by DNA methyltransferases and demethylases. De novo methylation can occur through the RdDM pathway in plants. Additionally, alternative splicing and long noncoding RNAs play a role in the response to drought stress. DNA methylation may influence alternative splicing events in stress response and interact with long noncoding RNAs. The modifications in DNA methylation, alternative splicing, and long noncoding RNAs contribute to the reprogramming of the transcriptome, including the expression of stress-responsive genes. RdDM, RNA-directed DNA methylation.
Plants 13 01977 g004
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Rao, X.; Yang, S.; Lü, S.; Yang, P. DNA Methylation Dynamics in Response to Drought Stress in Crops. Plants 2024, 13, 1977. https://doi.org/10.3390/plants13141977

AMA Style

Rao X, Yang S, Lü S, Yang P. DNA Methylation Dynamics in Response to Drought Stress in Crops. Plants. 2024; 13(14):1977. https://doi.org/10.3390/plants13141977

Chicago/Turabian Style

Rao, Xiaolan, Shengli Yang, Shiyou Lü, and Pingfang Yang. 2024. "DNA Methylation Dynamics in Response to Drought Stress in Crops" Plants 13, no. 14: 1977. https://doi.org/10.3390/plants13141977

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop