Skip to main content

ORIGINAL RESEARCH article

Front. Genet., 26 May 2020
Sec. Evolutionary and Population Genetics
This article is part of the Research Topic Evolution and Functional Mechanisms of Plant Disease Resistance View all 15 articles

Impact of DNA Demethylases on the DNA Methylation and Transcription of Arabidopsis NLR Genes

\r\nWeiwen Kong,*Weiwen Kong1,2*Xue XiaXue Xia1Qianqian WangQianqian Wang3Li-Wei LiuLi-Wei Liu4Shengwei ZhangShengwei Zhang1Li DingLi Ding1Aixin LiuAixin Liu5Honggui La*Honggui La3*
  • 1School of Horticulture and Plant Protection, Yangzhou University, Yangzhou, China
  • 2Joint International Research Laboratory of Agriculture and Agri-Product Safety of the Ministry of Education, Yangzhou University, Yangzhou, China
  • 3College of Life Sciences, Nanjing Agricultural University, Nanjing, China
  • 4State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China
  • 5Department of Plant Protection, Shandong Agricultural University, Tai’an, China

Active DNA demethylation is an important epigenetic process that plays a key role in maintaining normal gene expression. In plants, active DNA demethylation is mediated by DNA demethylases, including ROS1, DME, DML2, and DML3. In this study, the available bisulfite sequencing and mRNA sequencing data from ros1 and rdd mutants were analyzed to reveal how the active DNA demethylation process shapes the DNA methylation patterns of Arabidopsis nucleotide-binding leucine-rich repeat (NLR) genes, a class of important plant disease resistance genes. We demonstrate that the CG methylation levels of three NLR genes (AT5G49140, AT5G35450, and AT5G36930) are increased in the ros1 mutants relative to the wild-type plants, whereas the CG methylation level of AT2G17050 is decreased. We also observed increased CG methylation levels of AT4G11170 and AT5G47260 and decreased CG methylation levels of AT5G38350 in rdd mutants. We further found that the expression of three NLR genes (AT1G12280, AT1G61180, and AT4G19520) was activated in both ros1 and rdd mutants, whereas the expression of another three NLR genes (AT1G58602, AT1G59620, and AT1G62630) was repressed in these two mutants. Quantitative reverse transcriptase–polymerase chain reaction detection showed that the expression levels of AT1G58602.1, AT4G19520.3, AT4G19520.4, and AT4G19520.5 were decreased in the ros1 mutant; AT3G50950.1 and AT3G50950.2 in the rdd mutant were also decreased in expression compared to Col-0, whereas AT1G57630.1, AT1G58602.2, and AT5G45510.1 were upregulated in the rdd mutant relative to Col-0. These results indicate that some NLR genes are regulated by DNA demethylases. Our study demonstrates that each DNA demethylase (ROS1, DML2, and DML3) exerts a specific effect on the DNA methylation of the NLR genes, and active DNA demethylation is part of the regulation of DNA methylation and transcriptional activity of some Arabidopsis NLR genes.

Introduction

Cytosine DNA methylation is an important epigenetic mark (Johnson et al., 2002). It is observed on three sequence contexts, that is, CG, CHG, and CHH (where H represents A, C, or T), in the Arabidopsis genome (Chan et al., 2005). The regulation of gene expression by DNA methylation in plants has been discovered to play important roles in the cellular response to pathogen attacks (Dowen et al., 2012; Yu et al., 2013; Le et al., 2014; Deleris et al., 2016). DNA methylation patterns in eukaryotes are shaped by DNA methylation and demethylation processes (Chan et al., 2005; Meyer, 2011; Zhang et al., 2018).

It has been demonstrated that a plant-specific pathway, RNA-directed DNA methylation (RdDM), mediates de novo cytosine methylation in three cytosine sequence contexts (Zhang and Zhu, 2011). More studies have revealed that two RdDM mechanisms, canonical and non-canonical RdDM pathways, establish DNA methylation in plants (Matzke and Mosher, 2014). In RdDM pathways, the de novo methyltransferase DRM1/2 plays key roles in sequence-specific cytosine methylation. Additionally, cytosine methylation has been determined to be established and maintained through several key methyltransferases in plants (Bender, 2004; Chan et al., 2005; Law and Jacobsen, 2010).

In Arabidopsis (Arabidopsis thaliana), active DNA demethylation is mediated by DNA glycosylase/lyases, that is, ROS1, DME, DML2, and DML3 (Choi et al., 2002; Penterman et al., 2007; Zhu, 2009). It is known that Arabidopsis ROS1 (repressor of silencing 1), a bifunctional DNA glycosylase/lyase, functions in repressing transcriptional gene silencing by the action of DNA demethylation (Gong et al., 2002). Mutations in ROS1 result in DNA hypermethylation and transcriptional silencing of specific genes (Penterman et al., 2007). It has been shown that hypermethylation is triggered in the promoters of some silenced loci in ros1 mutants (Gong et al., 2002). Arabidopsis DME encodes a protein containing a DNA glycosylase domain and a nuclear localization domain, which is able to actively erase 5-methylcytosines by a base excision repair pathway (Choi et al., 2002; Morales-Ruiz et al., 2006). Another two DME paralogs, known as demeter-like proteins DML2 and DML3, were found in the genome of Arabidopsis (Choi et al., 2002; Penterman et al., 2007). DMEs function mainly in the central cells of female gametophytes, and they are vital for imprinted genes, for example, MEA, to be expressed in a maternal allele-specific pattern in the endosperm (Gehring et al., 2006; Bauer and Fischer, 2011). The other three demethylases, ROS1, DML2, and DML3, were shown to be largely active in Arabidopsis somatic cells (Gong et al., 2002; Ortega-Galisteo et al., 2008). It was found that approximately 180 discrete loci throughout the Arabidopsis genome were demethylated by DML enzymes, and more than 80% of these loci were located in genic regions (Penterman et al., 2007). Strikingly, the 5′ and 3′ ends of these regions were primarily targeted by the DML enzymes (Penterman et al., 2007). DML3 was also observed to demethylate preferentially symmetrical sequence contexts (CpG and CpHpG) (Ortega-Galisteo et al., 2008). rdd is a triple mutant with mutations in ROS1, DML2, and DML3 (Penterman et al., 2007). It was reported that many hypermethylated regions in rdd do not overlap with those in ros1 (Qian et al., 2012). This finding suggests that DML2 and DML3 have specific functions in contrast to ROS1. An earlier study demonstrated that after DNA demethylation occurred in Arabidopsis, activation of the defense response mediated by salicylic acid was observed, and bacterial pathogen multiplication was restricted (Yu et al., 2013). Another study revealed that stress-responsive genes in Arabidopsis can be modulated by DNA demethylases by targeting transposable elements within their promoters (Le et al., 2014). These results imply that active DNA demethylation is a factor that strongly affects disease resistance in plants.

Nucleotide-binding leucine-rich repeat (NLR) proteins, a class of immune receptors, play an important part in plant disease resistance. It was reported that approximately 150 typical Arabidopsis NLR genes were identified and characterized in ecotype Col-0 (Meyers et al., 2003). All the proteins were categorized into Toll/interleukin 1 receptor (TIR) or coiled-coil (CC) motif-containing NLR subfamilies, abbreviated as TNL and CNL, respectively (Meyers et al., 2003; McHale et al., 2006). Plant NLR genes have been well-known to play fundamental roles in disease resistance (Dangl and Jones, 2001). However, the transcriptional regulation of NLR genes has not been thoroughly elucidated, despite their importance in plant disease resistance. The expression levels of plant NLR genes may be regulated by diverse factors, including tissue types, developmental stages, environmental cues, and pathogen attacks (Yoshimura et al., 1998; Wang et al., 1999). A previous study revealed that most Arabidopsis NLR genes were expressed weakly, even with tissue-specific expression patterns (Tan et al., 2007). Some evidence has shown that small RNAs modulate the expression of plant NLR genes (Zhai et al., 2011; Li et al., 2012; Shivaprasad et al., 2012; Fei et al., 2013). Phased, secondary, small interfering RNAs (phasiRNAs), formerly known as trans-acting small interfering RNAs (tasiRNAs), are primed by miRNAs, a category of small RNAs. phasiRNAs and miRNAs were found to suppress the expression of tomato NLR genes (Shivaprasad et al., 2012). It was reported that an Arabidopsis NLR gene, At4g11170, temporarily named resistance methylated gene 1 (RMG1) by the authors, is an outstanding RdDM target, and ROS1 is essential for its background expression and activated transcription (Yu et al., 2013). RBA1, encoding a TIR-containing, truncated NLR protein, is speculated to be regulated through cytosine methylation in the Arabidopsis Col-0 ecotype (Nishimura et al., 2017). In addition, new findings suggested that DNA methylation is involved in regulating the expression of some NLR genes in Arabidopsis and common bean (Kong et al., 2018; Richard et al., 2018).

A previous study demonstrated that single, double, and triple F2 mutants of ROS1, DML2, and DML3 show no obvious morphological phenotypes under their growth conditions (Penterman et al., 2007; Ortega-Galisteo et al., 2008). However, developmental abnormalities were observed in some ros1 mutants in later generations (Gong et al., 2002). Furthermore, the ros1 mutant is sensitive to hydrogen peroxide and methyl methanesulfonate (Gong et al., 2002). Additionally, it was observed that a slightly increased bacterial growth occurred in the ros1 mutant, but not in the dml2 and dml3 mutants with inoculation of Pseudomonas syringae pv. tomato strain DC3000 (Yu et al., 2013). In the rdd mutant, an enhanced susceptibility was found to Fusarium oxysporum (Le et al., 2014). Another study showed that opposite phenotypes were observed in Arabidopsis hypomethylated mutants and hypermethylated mutants after infection with Hyaloperonospora arabidopsidis (Lopez Sanchez et al., 2016).

In this study, we used publicly available bisulfite sequencing (BS-Seq) data to identify Arabidopsis NLR genes that are targeted by demethylases, including ROS1, DML2, and DML3 in wild-type plants. We demonstrate that the CG methylation levels in the 5′ upstream regions (UPRs) of 30 Arabidopsis NLR genes were increased in both the ros1 and rdd mutant plants. Furthermore, we show that 32 Arabidopsis NLR genes were presumably regulated by both ROS1 and DML demethylases at the transcriptional level. In conclusion, our data indicate that active DNA demethylation by ROS1 and DML enzymes functions to protect Arabidopsis NLR genes from potentially deleterious methylation. The data also implicate ROS1 and DML demethylases in determining the DNA methylation profiles of Arabidopsis NLR genes. Additionally, we analyzed the available mRNA-Seq data from Arabidopsis ros1, rdd mutants, and their wild-type control plants. We found that mutations in DNA demethylases lead to changes in the transcriptional activities of some Arabidopsis NLR genes, suggesting that their expression is regulated by DNA demethylases.

Materials and Methods

Retrieval of Arabidopsis BS-Seq and mRNA-Seq Data

The Arabidopsis BS-Seq data used in this study were retrieved from the Gene Expression Omnibus (GEO) database.1 The GEO accession numbers for the data are GSM1859474 (SRR2179846, SRR2179847, SRR2179848, and SRR2179849)/GSM1859475 (SRR2179850, SRR2179851, SRR2179852, and SRR2179853) (wild-type/ros1 mutant) and GSM819122/GSM819123/GSM819128/GSM819129 (wild-type/rdd mutant). The mRNA-Seq data from the wild-type, ros1, and rdd mutants were downloaded from the GEO database. Their GEO accession numbers are GSM1585887/GSM1585888/GSM1585889/GSM1585899/GSM15 85900/GSM1585901 (wild-type/ros1 mutant). The rdd mRNA-Seq data were retrieved from the NCBI SRA database,2 whose accession numbers are SRR013411/SRR013412/SRR013413/SRR013414/SRR013415/SR R013416/SRR013426/SRR013427/SRR013428/SRR013429 (wild-type//rdd mutant).

Processing of Arabidopsis BS-Seq Data

The SRA-formatted BS-Seq data were changed into the FASTQ format, and their sequencing quality was then evaluated. The adapters for sequencing were removed, and the low-quality bases were deleted. The clean BS-Seq reads were mapped to the TAIR10 genome (v36) with Bismark (v0.16.3) (Krueger and Andrews, 2011), allowing one base mismatch, and the unique paired-end reads were obtained for next analysis. To ensure dependable sequencing sites, cytosines covered by at least four reads were selected.

Methylation Analysis of Arabidopsis NLR Genes

Arabidopsis typical NLR genes encoding both NB and LRR domains were selected for further analysis (Meyers et al., 2003). The gene body region (GBR) (transcribed region) covers the genomic region from the transcription start site to the end site. The chromosomal coordinates of Arabidopsis NLR GBRs and 200- and 500-bp regions upstream of the transcription start sites were determined with the TAIR10 annotation file3 by custom Perl scripts (Supplementary Table S1). The cytosine methylation levels were calculated as described previously (Kong et al., 2018).

Processing of Arabidopsis mRNA-Seq Data

Possible adaptor sequences were cleaned from all the sequences before the reads were mapped to the Arabidopsis reference genome sequence, and the reads for which more than 50% of the bases had a low-quality value (≤5) were discarded. Then, the filtered reads were mapped through TopHat (v. 2.1.1) (Trapnell et al., 2012) to the TAIR10 genome sequence. The abundance of the Arabidopsis gene transcripts was determined and normalized with FPKM, that is, the expected fragments per kilobase of a transcript per million fragments sequenced, by Cufflinks software (v.2.2.1) (Trapnell et al., 2010, 2012).

HTSeq4 was used to measure the raw counts for all Arabidopsis genes determined through the TAIR10 annotation for coding genes (Anders et al., 2015). Then, the Cuffdiff program in the Cufflinks package (v2.2.1) was adopted to generate the differential expression data from these counts. The differentially expressed genes in each compared group were identified by the cutoff value of a more than twofold change and an adjusted p-value or FDR (false discovery rate) threshold ≤0.05.

RNA Isolation and Real-Time Polymerase Chain Reaction Analysis

Total Arabidopsis RNAs were extracted from 2-week-old seedlings by TRIpure reagent (Aidlab Biotech, Beijing, China), and the possible contaminating DNAs were digested with DNase I (TransGen, Beijing, China). Two micrograms of total RNA was used for first-strand cDNA synthesis with the PrimeScript RT reagent kit (Takara, Dalian, China) according to the manufacturer’s instructions. The cDNA reaction mixtures were then diluted fivefold. In a 20-μL polymerase chain reaction (PCR) mixture, 1 μL of the diluted cDNA solution was pipetted into a tube as the template. Arabidopsis ACTIN2 was used as an internal control. Program Premier 3 (Koressaar and Remm, 2007; Untergasser et al., 2012) was used to design the quantitative reverse transcriptase (qRT)–PCR primers (Supplementary Table S2). Quantitative reverse transcriptase–PCR was performed using the ABI 7500 Real Time PCR System (ABI, Carlsbad, CA, United States) with TransStart Top Green qPCR SuperMix (TransGen, Beijing, China). Three independent PCR analyses were carried out. The relative transcript levels were determined by the comparative threshold cycle (Ct) method (Relative Quantification Getting Started Guide; ABI). The mean fold changes were calculated using Livak’s 2–ΔΔ(Ct) method (Livak and Schmittgen, 2001).

Results

Set of Arabidopsis NLR Genes Targeted by DNA Demethylases

DNA methylation occurring in the UPRs and within the transcribed gene bodies was observed in the majority of NLR genes in wild-type Arabidopsis plants, and the average methylation level of CG sequence contexts was greatly higher than that of CHG and CHH sequence contexts (Kong et al., 2018). In this study, we examined the DNA methylation status of NLR genes in the ros1 and rdd mutant backgrounds by analyzing the BS-Seq data available from both the mutants and the corresponding wild-type controls (Supplementary Tables S3, S4).

Our results demonstrated that for CG, CHG, and CHH sequence contexts, the average methylation levels in the 200- and 500-bp regions lying immediately upstream of transcriptional starting sites and of the entire transcribed gene bodies of the 144 Arabidopsis NLR genes were, in most situations, increased in ros1 and rdd mutants relative to wild-type controls, indicating that the NLR genes in general are the targets of DNA demethylases (i.e., ROS1, DML2, and/or DML3) (Figure 1). In addition, the average methylation level of CG sequence contexts of the Arabidopsis NLR genes was clearly higher than the levels of CHG and CHH sequence contexts in both the ros1 and rdd mutants (Figure 1).

FIGURE 1
www.frontiersin.org

Figure 1. Average methylation level of Arabidopsis NLR genes in the wild-type (WT) and different demethylase mutant plants. (A) ros1 mutant; (B) rdd mutant. UPR, upstream region; GBR, gene body region.

Because the average methylation level of the CG sequence contexts was significantly higher than those of the CHG and CHH sequence contexts in the ros1 and rdd mutants, the 144 Arabidopsis NLR genes were classified into two groups on the basis of their CG methylation levels: group 1 (>0.1), whose methylation level is greater than 0.1, and group 2 (<0.1), whose methylation level is less than 0.1. The results demonstrated that the CG methylation levels of these NLR genes in ros1 and rdd at the 200-bp UPR, 500-bp UPR, and GBR are all increased because the proportions of group 1 in both mutants at the three regions increase consistently compared to those in wild-type controls. For example, the proportions of group 1 at 500-bp UPR in ros1 and rdd were 22 and 24% versus 15 and 14% in the corresponding wild-type controls (Figure 2). By comparison, the proportions of group two at three such regions in both mutants were decreased overall (Figure 2). It is worth noting that the increase of proportions at 500-bp UPR is more dramatic in both ros1 and rdd mutants than at the other two regions in their respective wild-type controls (Figure 2). Thus, these data collectively suggest that the mutations of the DNA demethylases generally lead to hypermethylation at the 200-bp UPRs, 500-bp UPRs, and GBRs of these NLR genes, and the 500-bp UPRs gain a higher level of methylation than the other two regions.

FIGURE 2
www.frontiersin.org

Figure 2. Distribution of the average methylation level of Arabidopsis NLR genes in the WT and different mutants defective in DNA demethylases. (A) ros1 mutant; (B) rdd mutant. UPR, upstream region; GBR, gene body region.

To further determine which members of the NLR genes have undergone evident changes in DNA methylation level in ros1 and rdd mutants, the CG methylation levels of all the NLR genes were analyzed. Our results demonstrated that there are 10 NLR genes in which CG methylation levels at the 200-bp UPRs are significantly different between ros1 and wild-type plants (Supplementary Table S5); eight of them show at least a 10% increase in DNA methylation level in the ros1 mutant compared with the wild-type control. For AT5G49140, AT5G35450, and AT5G36930, their CG methylation levels were more than 50% higher in the ros1 mutant relative to the wild-type control (Figure 3 and Supplementary Table S5). In contrast, two genes, that is, AT4G09430 and AT2G17050, exhibited decreased CG methylation levels in the ros1 mutant, and notably, the proportion of CG methylation of AT2G17050 decreased from 77.27% to zero (Supplementary Table S5).

FIGURE 3
www.frontiersin.org

Figure 3. Methylated NLR genes from Arabidopsis WT (Col-0) and ros1 mutants. For each NLR gene, the DNA methylation patterns in the WT and ros1 mutant are shown in the upper panel, and its DNA methylation levels are illustrated in the lower panels. The red rectangle indicates the 500-bp UPR.

For 500-bp UPRs, all 18 examined genes but one (AT1G12280) in ros1 showed no less than 10% increase in CG methylation level compared to the wild-type control (Supplementary Table S5). Two genes, AT5G35450 and AT5G49140 in ros1, display a methylation increase of greater than 40% relative to wild type (Supplementary Table S5 and Figure 3). It should be noted that there are four genes (i.e., AT5G49140, AT4G27190, AT1G31540, and AT1G59780) with no methylation at such regions in the wild-type control, showing increased methylation at least 20% in the ros1 mutant. For the methylation status of GBRs, it appears that there are no obvious differences in DNA methylation levels between ros1 and the wild-type control because the maximum difference is less than 9% as exemplified by AT5G35450, suggesting that the transcribed gene bodies of such NLRs are not the main targets of ROS1 (Supplementary Table S5).

In the rdd mutant, the CG methylation levels in the 200-bp UPRs of eight of nine Arabidopsis NLR genes increased by more than 10% (Supplementary Table S6). It is worth noting that three genes (AT5G47260, AT4G11170, and AT5G45240) have notably low levels of DNA methylation in the wild-type control, whereas they show a substantial increase of more than 40% in methylation levels in the rdd mutant (Supplementary Table S6 and Figure 4).

FIGURE 4
www.frontiersin.org

Figure 4. Methylated NLR genes from Arabidopsis WT and rdd mutants. For each NLR gene, the DNA methylation patterns in the WT and rdd mutant are shown in the upper panel, and its DNA methylation levels are illustrated in the lower panels. The red rectangle indicates the 500-bp UPR.

Within the 500-bp UPRs, there were 23 of 24 NLR genes, which all exhibited a growth of 10% in methylation levels, and five of these genes displayed a 30% increase in methylation levels in the rdd mutant compared to the wild-type control. In contrast, the methylation level of AT2G17050 was reduced by approximately 57% in rdd (Supplementary Table S6). For GBRs, 23 of 43 examined NLR genes showed an increase in methylation levels by more than 10% in rdd compared to the wild-type control (Supplementary Table S6 and Figure 4). Notably, the increase in DNA methylation levels is generally larger within the 500-bp UPRs than the GBRs (Figures 5A,B). These data collectively indicate that triple mutations of ROS1, DML2, and DML3 lead to DNA hypermethylation within the promoters, as well as gene bodies of some specific NLR genes.

FIGURE 5
www.frontiersin.org

Figure 5. Heatmap of the methylation levels of 144 Arabidopsis NLR genes in diverse genotypes. (A) NLR genes in wild type and ros1 mutant; (B) NLR genes in wild type and rdd mutant.

Our above analysis also revealed that the DNA methylation levels of different NLR genes in the same mutant were highly different (Figures 5A,B). For instance, in ros1, no DNA methylation was observed in the AT1G58807, AT1G59124, and AT1G59218 genes (Supplementary Table S3). However, AT1G27180 showed a lower level of DNA methylation in the ros1 mutant than the corresponding wild-type control (Supplementary Table S3). Other NLR genes may be heavily methylated in ros1 mutants. For example, AT1G58602 had a CG methylation level of 52.23% and a CHG methylation level of 27.14% in its transcribed gene body in ros1; AT3G46710 had 87.25% of CG methylation level and 15.04% of CHG methylation level in the upstream 500-bp region; AT4G09360 had a CG methylation level of 86.25% and a CHG methylation level of 21.43% in the upstream 500-bp region, and its CG and CHG methylation levels within the transcribed region were 77.79 and 41.23%, respectively; in the upstream 500-bp region of AT4G19520, the CG methylation level was as high as 87.25%, and the CHG methylation level was 15.04%; for AT5G36930, the CG and CHG methylation levels in the upstream 500-bp region were as high as 88.03 and 55.63%, respectively (Supplementary Table S3). In the ros1 mutant, unexpectedly, in the 200-bp UPR of AT2G17050, the CG methylation level was 77.27% lower than that of the wild-type control (Supplementary Table S3).

In the rdd mutant, a similar methylation profile exists (Figure 5B). Three genes, AT1G58807, AT1G59124, and AT1G59218, did not exhibit DNA methylation, whereas AT1G12210, AT1G27180, AT1G56540, and AT5G46260 were less highly methylated, but AT3G46710, AT4G09360, AT4G19520, and AT5G36930 were highly methylated at their CG and CHG sites (Supplementary Table S4). In this mutant, compared to the wild-type plants, the methylation levels of CG, CHG, and CHH sites in the upstream 200-bp region of AT5G45240 were increased by 42.47, 29.56, and 16.66%, respectively, whereas the CG methylation levels in the upstream 200-bp regions of AT4G11170 and AT5G47260 were 59.71 and 62.19% higher than those of the wild-type plants, respectively (Supplementary Table S4).

DNA demethylases play an important role in inhibiting the hypermethylation of endogenous genes in plants. However, this study demonstrated that some Arabidopsis NLR genes show high DNA methylation not only in ros1 and rdd mutants but also in wild-type plants (Figures 5A,B). The DNA methylation of these genes was found to be similar between the wild-type and mutant plants. For example, AT4G09360 and AT5G47280 were highly methylated in the UPRs and transcribed gene bodies in both the ros1 mutants and the wild-type plants (Figure 6 and Supplementary Table S3). In the UPRs of AT4G19500 and AT4G19510, three cytosine sequence contexts were highly modified by DNA methylation in the wild-type and ros1 mutant plants, and CG methylation was observed within their transcribed regions (Figure 6 and Supplementary Table S3). The other two genes, AT2G17060 and AT4G09430, were hypermethylated primarily in their UPRs in the ros1 mutants and wild-type plants (Figure 6 and Supplementary Table S3). In the wild-type and rdd mutant, AT4G09360, AT5G47260, and AT5G47280 were heavily methylated in the three cytosine sequence contexts of the upstream and transcribed regions (Figure 7 and Supplementary Table S4); AT5G36930 was also clearly modified by DNA methylation, and the three cytosine sequence contexts of its UPR were significantly modified by DNA methylation, but CG methylation was mainly found within its transcribed region (Figure 7 and Supplementary Table S4). Interestingly, AT4G09360 and AT5G47280 were hypermethylated in both ros1 and rdd, as well as their respective wild-type plants (Figures 6, 7 and Supplementary Tables S3, S4). In addition, AT4G19500 and AT4G19510 were the same as these two genes, but their methylation levels were considerably lower in the extent of modification (Figures 6, 7 and Supplementary Tables S3, S4). The maintenance of heavy DNA methylation within these genes in wild-type plants suggests that DNA demethylases have little effect on them and that hypermethylation plays a critical role in their functions.

FIGURE 6
www.frontiersin.org

Figure 6. Highly methylated NLR genes from Arabidopsis WT and ros1 mutants. For each NLR gene, the DNA methylation patterns in the WT and ros1 mutant are shown in the upper panel, and its DNA methylation levels are illustrated in the lower panels. The red rectangle indicates the 500-bp UPR.

FIGURE 7
www.frontiersin.org

Figure 7. Highly methylated NLR genes from Arabidopsis WT and rdd mutants. For each NLR gene, the DNA methylation patterns in the WT and rdd mutant are shown in the upper panel, and its DNA methylation levels are illustrated in the lower panels. The red rectangle indicates the 500-bp UPR.

Transcriptional Activities of Arabidopsis NLR Genes in Wild-Type Plants and Various DNA Demethylase Mutants

It has been reported that there is a close relationship between DNA methylation and the transcriptional activity of a gene (Zilberman et al., 2007). The expression of NLR genes in Arabidopsis and soybean has also been shown to be regulated by their DNA methylation levels (Kong et al., 2018; Richard et al., 2018). To determine whether the mutations of the DNA demethylases affect the transcriptional activities of the Arabidopsis NLR genes, this study analyzed the available mRNA-Seq data from the Arabidopsis ros1 and rdd mutants and their respective wild-type controls to examine the transcriptional activities of the Arabidopsis NLR genes.

An overall analysis of the transcriptional level of the NLR genes in the wild-type and mutants indicated that the expression levels of most NLR genes were very low in both wild-type plants and the mutants (Figure 8). However, most of the NLR genes with relatively high transcriptional activity in the wild-type plants showed a slightly higher expression level after the mutation of ROS1 (Figure 8A), whereas most of those NLR genes with relatively high expression levels in the wild-type plants demonstrated reduced expression in the rdd mutant (Figure 8B). Specifically, our analysis revealed that there are 43 transcribed NLR genes with the value of at least one FPKM in the wild-type plants or ros1 mutants, and their ratios of FPKM values in ros1 to the wild-type plants are ≥1.1 or ≤0.9 (Supplementary Table S7). Among these genes, the FPKM values of 38 NLR genes increased, and those of five NLR genes decreased, in ros1 relative to the wild-type plants (Supplementary Table S7). It is noted that the FPKM value of AT4G19520 in ros1 was even 1.97 times the value of the gene in the wild-type plants, suggesting that the mutation of ROS1 contributes to the transcription of such genes (Supplementary Table S7). However, there are five genes (i.e., AT1G58602, AT1G10920, AT1G63750, AT1G62630, and AT1G59620) that all have FPKM values of less than 1.0, indicating that these five genes are downregulated in the ros1 mutant (Supplementary Table S7).

FIGURE 8
www.frontiersin.org

Figure 8. Heatmap of the transcriptional levels of 144 Arabidopsis NLR genes in diverse genotypes. (A) NLR genes in wild type and ros1 mutant; (B) NLR genes in wild type and rdd mutant.

In the wild-type or rdd mutant plants, 64 NLR genes were found to be expressed with the value of at least one FPKM, and the ratios of the FPKM values were ≥1.1 or ≤0.9 (Supplementary Table S8). Only the ratios of FPKM values of AT1G12280, AT1G61180, and AT4G19520 were over 1.1 in the rdd mutants, whereas the ratios of the other 61 NLR genes were all less than 0.9 (Supplementary Table S8). We also observed that the change in the transcriptional level of some NLR genes was inconsistent in ros1 and rdd mutants; however, the transcriptional levels of AT1G12280, AT1G61180, and AT4G19520 were higher in both ros1 and rdd mutants than in the wild-type plants. In contrast, the transcriptional levels of AT1G58602, AT1G59620, and AT1G62630 were lower in both ros1 and rdd mutants than in the wild-type plants (Supplementary Table S9). This finding suggests that the transcriptional activities of these genes were likely to be regulated by DNA demethylases.

We identified the differentially expressed NLR genes between ros1 or rdd and wild-type plants by analyzing their mRNA-Seq data and then verified some identified NLR genes using real-time qRT-PCR. Five selected NLR genes were confirmed to be differentially expressed between the mutants and the wild-type plants (Figure 9). The expression levels of 10 transcripts encoded by these five NLR genes were detected in ros1 and rdd mutants. The results demonstrated that the expression levels of AT1G58602.1, AT4G19520.3, AT4G19520.4, and AT4G19520.5 were reduced in the ros1 mutant relative to Col-0 (Figure 8). Among these genes, AT4G19520.5 expression was notably reduced in the ros1 mutant (Figure 8). In rdd mutants, AT3G50950.1 and AT3G50950.2 were detected to be reduced in expression compared with Col-0 (Figure 8). In contrast, in rdd mutants, AT1G57630.1, AT1G58602.2, and AT5G45510.1 were upregulated relative to Col-0 (Figure 8). Thus, some NLR genes are suggested to be regulated by DNA demethylases.

FIGURE 9
www.frontiersin.org

Figure 9. Detection of the expression of NLR genes in different Arabidopsis genotypes by qRT-PCR. ACTIN2 was used as an internal control. Error bars represent the standard deviation from three technical replicates. One-way analysis of variance (ANOVA) was applied to examine gene expression differences between the WT and each mutant. *Statistical significance (p ≤ 0.05) and **high statistical significance (p ≤ 0.01).

Discussion

Methylation Patterns of Some NLR Genes in Arabidopsis Are Shaped by Both DNA Methyltransferases and Demethylases

The DNA methylation patterns of some plant genes can be established and maintained by DNA methyltransferases, whereas those of others are jointly shaped by both methyltransferases and demethylases (Zhu, 2009). Our analyses revealed that the average methylation levels of the CG, CHG, and CHH sequence contexts in the 500-bp UPRs and transcribed gene bodies of Arabidopsis NLR genes varied in different DNA demethylase mutants. In ros1 and rdd mutants, the average methylation levels of the three cytosine sequence contexts within the NLR genes were increased, but to a different extent. The average CG methylation levels within the NLR genes were higher than the average CHG and CHH methylation levels in the ros1 and rdd mutants. It has been shown that most of the CG sites of some transposons and other genes are highly methylated in wild-type plants, whereas many CHG and CHH sites of the transposons and genes are methylated slightly or are even completely unmethylated; however, in ros1, these CHG and CHH sites are heavily methylated (Zhu et al., 2007). Similar to this result, higher levels of CHG and CHH methylation were observed within the NLR genes in ros1 and rdd mutants than in the wild-type plants. Further analysis revealed increased NLR genes with a CG methylation level higher than 10% and decreased NLR genes with a CG methylation level of less than 10% in ros1 and rdd mutants.

Among all the known demethylases in Arabidopsis, ROS1 is regarded as the predominant DNA demethylase in vegetative tissues (Tang et al., 2016). However, mutations of DML2 and/or DML3 were observed to cause the hypermethylation of unmethylated or weakly methylated cytosine residues in wild-type plants (Ortega-Galisteo et al., 2008). Additionally, the heavily methylated cytosines in wild-type plants were shown to be hypomethylated in the dlm2 and/or dml3 mutants (Ortega-Galisteo et al., 2008). Additionally, most of the hypermethylated loci in ros1-4 were found to overlap with those in the rdd mutant (Qian et al., 2012). Thus, ROS1, DML2, and DML3 have their own distinct targets, although they overlap at some loci. We found that eight NLR genes (AT1G56540, AT3G04220, AT4G09430, AT5G40100, AT5G45510, AT5G46260, AT5G47280, and AT5G49140) showed elevated or reduced methylation levels by at least 10% within their 200- or 500-bp UPRs in ros1 mutants but not rdd mutants (Supplementary Table S10). Similar changes were also observed in the other eleven NLR genes (AT1G61180, AT3G07040, AT3G46530, AT4G16960, AT4G33300, AT5G38350, AT5G40060, AT5G45240, AT5G46490, AT5G47250, and AT5G47260) in the rdd mutant (Supplementary Table S10). On the other hand, there are 14 NLR genes whose alterations in CG methylation level by at least 10% within the UPRs occurred in ros1 mutants, as well as rdd mutants (Supplementary Table S10). Within the transcribed regions, 15 NLR genes displayed an increased CG methylation level by at least 5% in the ros1 mutant (Supplementary Table S11). However, 41 NLR genes showed an increase in CG methylation level by at least 5% in the rdd mutant, and 23 of them showed an increase up to greater than 10% (Supplementary Table S11). Among these genes, five NLR genes, which are AT5G45230, AT4G09430, AT4G08450, AT1G53350, and AT5G05400, displayed altered methylation in both ros1 and rdd mutants (Supplementary Table S11). Additionally, AT4G09360 and AT4G09430 showed decreased CG methylation in the ros1 mutant; AT3G04220 and AT4G19050 showed a decrease in the rdd mutant (Supplementary Table S11). Therefore, each DNA demethylase exerts a specific effect on the DNA methylation of the NLR genes. Similarly, the methylation levels within 7 of 14 loci in each single mutant were observed to be considerably less than in the rdd triple mutant, indicating that all the DML enzymes jointly demethylate these loci, whereas some other loci were found to be demethylated by a single DML (Penterman et al., 2007). Hence, these three glycosylases function with partial redundancy. In this study, ROS1 mutation does not cause an increase in DNA methylation at all NLR genes, even hypomethylation at some NLR genes can be observed, also suggesting that DML2 and/or DML3 are able to compensate for ROS1 loss at some targets. It has been reported that the DNA methylation patterns of many Arabidopsis NLR genes are regulated by different DNA methyltransferases (Kong et al., 2018). Taken together, these results indicate that the methylation patterns of many NLR genes in Arabidopsis are regulated not only by DNA methyltransferases but also by DNA demethylases.

DNA Demethylases Mediate the Transcriptional Activities of NLR Genes in Arabidopsis thaliana

It has been revealed that the DNA methylation levels of some genes in Arabidopsis are closely related to their transcriptional activities (Penterman et al., 2007). The mutation of ROS1 leads to increased DNA methylation and decreased expression in some Arabidopsis genomic loci (Zhu et al., 2007). Another study has shown that Arabidopsis DNA demethylases, including ROS1, DML2, and DML3, are able to modulate the transcriptional activity of many stress response genes, and these stress response genes are repressed in the rdd mutant (Le et al., 2014). In this study, we show that the transcriptional levels of some NLR genes are higher in different mutants defective in DNA demethylase than in the wild-type controls, whereas the levels of other NLR genes are lower in diverse DNA demethylase–defective mutants than in their wild-type controls.

We found that 28 NLR genes were upregulated in ros1 but downregulated in rdd mutants in comparison to the wild-type controls, three NLR genes were upregulated in both ros1 and rdd mutants, and one NLR gene (AT1G62630) was downregulated in both ros1 and rdd mutants (Supplementary Table S12). We also observed that nine NLR genes were upregulated and two NLR genes (AT1G10920 and AT1G63750) were downregulated only in ros1 but rdd mutants (Supplementary Table S12). In addition, we discovered that 32 NLR genes were repressed in the rdd mutant (Supplementary Table S12). The rdd mutant was shown to exhibit increased susceptibility to F. oxysporum, and the transcriptional activities of AT1G58602 and AT4G09420 were detected to be downregulated (Le et al., 2014). Thus, the three demethylases may play partially redundant roles, and DML2 and/or DML3 can partially compensate some NLR genes for the loss of function of ROS1. On the other hand, the transcriptional activities of many NLR genes in Arabidopsis are mediated by different DNA demethylases, and the transcriptional activity varied among different NLR genes when the DNA demethylases were mutated.

Our qRT-PCR results further confirmed that some transcripts encoded by Arabidopsis NLR genes were increased or decreased at the transcriptional level in the mutants defective in DNA demethylases. Therefore, it is important and meaningful to reveal the mechanisms by which DNA demethylases modulate the expression of Arabidopsis NLR genes.

Relationships Between Methylation and Transcription of Arabidopsis NLR Genes

It was reported that only 182 genes demonstrated altered methylation (Penterman et al., 2007), and 167 genes presented differential expression (Lister et al., 2008) in the rdd mutant compared to wild-type plants. Therefore, changes in DNA methylation or gene expression are limited in the rdd mutant compared to wild-type plants. In another study, 348 genes were observed to be differentially expressed (Le et al., 2014). In their studies, the differentially expressed genes seldom overlapped with the differentially methylated genes (Le et al., 2014). We also found little overlap in a few NLR genes. For instance, three NLR genes (AT1G31540, AT5G35450, and AT5G44870) showed increased CG methylation within 500-bp UPRs and elevated transcriptional activity in the ros1 mutant compared to wild-type plants, whereas AT1G12280 showed decreased CG methylation and elevated expression when ROS1 was mutated (Supplementary Table S13). In the rdd mutant, 11 NLR genes showed CG hypermethylation within the 500-bp UPRs, nine of which were downregulated compared to wild-type plants, whereas AT1G12280 and AT1G61180 were upregulated (Supplementary Table S14), suggesting that a close link exists between CG hypermethylation within UPRs and the expression of these NLR genes in the rdd mutant. Interestingly, a similar link occurs between CG hypermethylation within gene transcribed regions and the differential expression of 11 NLR genes in the rdd mutant (Supplementary Table S14). Of the 11 NLR genes, with the exception of AT4G19520, 10 were downregulated in the rdd mutant compared to wild-type plants. It is worth noting that AT4G33300, AT5G36930, and AT5G44870 showed increased CG methylation within 500-bp UPRs and GBRs and downregulated expression in the rdd mutant compared to wild-type plants (Supplementary Table S14), indicating a negative connection between CG hypermethylation and their downregulated expression. Nevertheless, many NLR genes have no direct link between their changes in methylation status and transcriptional activity. A previous study also suggested the regulation of defense genes by DNA methylation not only based on cis-acting modes but also in trans, as well as the global influence of DNA demethylation on the activation of the defense-associated transcriptome through primarily trans-regulatory mechanisms (Lopez Sanchez et al., 2016).

Conclusion

In this study, we show that some Arabidopsis NLR genes can be demethylated by ROS1, DML2, and DML3 within their upstream and transcribed regions. We revealed that the loss of functions of the demethylases leads to obvious changes in DNA methylation levels within some members of Arabidopsis NLR genes. We found that demethylases have no effects on the DNA methylation status of some Arabidopsis NLR genes. We demonstrated that some Arabidopsis NLR genes were regulated by the DNA demethylases ROS1, DML2, and/or DML3. This study will provide a reference for future research into the expression of Arabidopsis NLR genes.

Data Availability Statement

All datasets generated for this study are included in the article/Supplementary Material.

Author Contributions

WK conceived the project, designed study, interpreted the data, and wrote the manuscript. WK, HL, and AL supervised the study design. HL provided the plant materials and edited the manuscript. XX, L-WL, SZ, and LD conducted the bioinformatic analyses of the DNA methylome, transcriptome and statistical analyses of the experimental data. QW carried out the qRT-PCR assays. All authors approved the final manuscript.

Funding

This study was funded by the National Natural Science Foundation of China (31970582), and the National Natural Science Foundation of China (31771427) to HL. This study was also funded by the Shandong Provincial Key Laboratory of Agricultural Microbiology Open Fund (SDKL2017015) to WK.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgene.2020.00460/full#supplementary-material

Footnotes

  1. ^ https://www.ncbi.nlm.nih.gov/gds
  2. ^ https://www.ncbi.nlm.nih.gov/sra
  3. ^ https://www.arabidopsis.org
  4. ^ https://htseq.readthedocs.io/en/release_0.10.0/

References

Anders, S., Pyl, P. T., and Huber, W. (2015). HTSeq—a Python framework to work with high-throughput sequencing data. Bioinformatics 31, 166–169. doi: 10.1093/bioinformatics/btu638

PubMed Abstract | CrossRef Full Text | Google Scholar

Bauer, M. J., and Fischer, R. L. (2011). Genome demethylation and imprinting in the endosperm. Curr. Opin. Plant Biol. 14, 162–167. doi: 10.1016/j.pbi.2011.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Bender, J. (2004). DNA methylation and epigenetics. Annu. Rev. Plant Biol. 55, 41–68. doi: 10.1146/annurev.arplant.55.031903.141641

CrossRef Full Text | Google Scholar

Chan, S. W. L., Henderson, I. R., and Jacobsen, S. E. (2005). Gardening the genome: DNA methylation in Arabidopsis thaliana. Nat. Rev. Genet. 6, 351–360. doi: 10.1038/nrg1601

PubMed Abstract | CrossRef Full Text | Google Scholar

Choi, Y., Gehring, M., Johnson, L., Hannon, M., Harada, J. J., Goldberg, R. B., et al. (2002). DEMETER, a DNA glycosylase domain protein. is required for endosperm gene imprinting and seed viability in arabidopsis. Cell 110, 33–42. doi: 10.1016/S0092-8674(02)00807-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Dangl, J. L., and Jones, J. D. G. (2001). Plant pathogens and integrated defence responses to infection. Nature 411, 826–833. doi: 10.1038/35081161

PubMed Abstract | CrossRef Full Text | Google Scholar

Deleris, A., Halter, T., and Navarro, L. (2016). DNA methylation and demethylation in plant immunity. Annu. Rev. Phytopathol. 54, 579–603. doi: 10.1146/annurev-phyto-080615-100308

PubMed Abstract | CrossRef Full Text | Google Scholar

Dowen, R. H., Pelizzola, M., Schmitz, R. J., Lister, R., Dowen, J. M., Nery, J. R., et al. (2012). Widespread dynamic DNA methylation in response to biotic stress. Proc. Natl. Acad. Sci. U.S.A. 109, E2183–E2191. doi: 10.1073/pnas.1209329109

PubMed Abstract | CrossRef Full Text | Google Scholar

Fei, Q. L., Xia, R., and Meyers, B. C. (2013). Phased secondary, small interfering RNAs in posttranscriptional regulatory networks. Plant Cell 25, 2400–2415. doi: 10.1105/tpc.113.114652

PubMed Abstract | CrossRef Full Text | Google Scholar

Gehring, M., Huh, J. H., Hsieh, T. F., Penterman, J., Choi, Y., Harada, J. J., et al. (2006). DEMETER DNA glycosylase establishes MEDEA polycomb gene self-imprinting by allele-specific demethylation. Cell 124, 495–506. doi: 10.1016/j.cell.2005.12.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Gong, Z., Morales-Ruiz, T., Ariza, R. R., David, L., and Zhu, J.-K. (2002). ROS1, a repressor of transcriptional gene silencing in Arabidopsis, encodes a DNA glycosylase/lyase. Cell 111, 803–814. doi: 10.1016/S0092-8674(02)01133-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson, L. M., Cao, X., and Jacobsen, S. E. (2002). Interplay between two epigenetic marks: DNA Methylation and Histone H3 Lysine 9 methylation. Curr. Biol. 12, 1360–1367. doi: 10.1016/S0960-9822(02)00976-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Kong, W., Li, B., Wang, Q., Wang, B., Duan, X., Ding, L., et al. (2018). Analysis of the DNA methylation patterns and transcriptional regulation of the NB-LRR-encoding gene family in Arabidopsis thaliana. Plant Mol. Biol. 96, 563–575. doi: 10.1007/s11103-018-0715-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Koressaar, T., and Remm, M. (2007). Enhancements and modifications of primer design program Primer3. Bioinformatics 23, 1289–1291. doi: 10.1093/bioinformatics/btm091

PubMed Abstract | CrossRef Full Text | Google Scholar

Krueger, F., and Andrews, S. R. (2011). Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications. Bioinformatics 27, 1571–1572. doi: 10.1093/bioinformatics/btr167

PubMed Abstract | CrossRef Full Text | Google Scholar

Law, J. A., and Jacobsen, S. E. (2010). Establishing, maintaining and modifying DNA methylation patterns in plants and animals. Nat. Rev. Genet. 11, 204–220. doi: 10.1038/nrg2719

PubMed Abstract | CrossRef Full Text | Google Scholar

Le, T. N., Schumann, U., Smith, N. A., Tiwari, S., Au, P. C., Zhu, Q. H., et al. (2014). DNA demethylases target promoter transposable elements to positively regulate stress responsive genes in Arabidopsis. Genome Biol. 15:458. doi: 10.1186/s13059-014-0458-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, F., Pignatta, D., Bendix, C., Brunkard, J. O., Cohn, M. M., Tung, J., et al. (2012). MicroRNA regulation of plant innate immune receptors. Proc. Natl. Acad. Sci. U.S.A. 109, 1790–1795. doi: 10.1073/pnas.1118282109

PubMed Abstract | CrossRef Full Text | Google Scholar

Lister, R., O’Malley, R. C., Tonti-Filippini, J., Gregory, B. D., Berry, C. C., Millar, A. H., et al. (2008). Highly integrated single-base resolution maps of the epigenome in Arabidopsis. Cell 133, 523–536. doi: 10.1016/j.cell.2008.03.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Livak, K. J., and Schmittgen, T. D. (2001). Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 25, 402–408. doi: 10.1006/meth.2001.1262

PubMed Abstract | CrossRef Full Text | Google Scholar

Lopez Sanchez, A., Stassen, J. H., Furci, L., Smith, L. M., and Ton, J. (2016). The role of DNA (de)methylation in immune responsiveness of Arabidopsis. Plant J. 88, 361–374. doi: 10.1111/tpj.13252

PubMed Abstract | CrossRef Full Text | Google Scholar

Matzke, M. A., and Mosher, R. A. (2014). RNA-directed DNA methylation: an epigenetic pathway of increasing complexity. Nat. Rev. Genet. 15, 394–408. doi: 10.1038/nrg3683

PubMed Abstract | CrossRef Full Text | Google Scholar

McHale, L., Tan, X., Koehl, P., and Michelmore, R. W. (2006). Plant NBS-LRR proteins: adaptable guards. Genome Biol. 7:212. doi: 10.1186/gb-2006-7-4-212

PubMed Abstract | CrossRef Full Text | Google Scholar

Meyer, P. (2011). DNA methylation systems and targets in plants. FEBS Lett. 585, 2008–2015. doi: 10.1016/j.febslet.2010.08.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Meyers, B. C., Kozik, A., Griego, A., Kuang, H., and Michelmore, R. W. (2003). Genome-wide analysis of NBS-LRR-encoding genes in Arabidopsis. Plant Cell 15, 809–834. doi: 10.1105/tpc.009308

PubMed Abstract | CrossRef Full Text | Google Scholar

Morales-Ruiz, T., Ortega-Galisteo, A. P., Ponferrada-Marin, M. I., Martinez-Macias, M. I., Ariza, R. R., and Roldan-Arjona, T. (2006). DEMETER and REPRESSOR OF SILENCING 1 encode 5-methylcytosine DNA glycosylases. Proc. Natl. Acad. Sci. U.S.A. 103, 6853–6858. doi: 10.1073/pnas.0601109103

PubMed Abstract | CrossRef Full Text | Google Scholar

Nishimura, M. T., Anderson, R. G., Cherkis, K. A., Law, T. F., Liu, Q. L., Machius, M., et al. (2017). TIR-only protein RBA1 recognizes a pathogen effector to regulate cell death in Arabidopsis. Proc. Natl. Acad. Sci. U.S.A. 114, E2053–E2062. doi: 10.1073/pnas.1620973114

PubMed Abstract | CrossRef Full Text | Google Scholar

Ortega-Galisteo, A. P., Morales-Ruiz, T., Ariza, R. R., and Roldan-Arjona, T. (2008). Arabidopsis DEMETER-LIKE proteins DML2 and DML3 are required for appropriate distribution of DNA methylation marks. Plant Mol. Biol. 67, 671–681. doi: 10.1007/s11103-008-9346-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Penterman, J., Zilberman, D., Huh, J. H., Ballinger, T., Henikoff, S., and Fischer, R. L. (2007). DNA demethylation in the Arabidopsis genome. Proc. Natl. Acad. Sci. U.S.A. 104, 6752–6757. doi: 10.1073/pnas.0701861104

CrossRef Full Text | Google Scholar

Qian, W., Miki, D., Zhang, H., Liu, Y., Zhang, X., Tang, K., et al. (2012). A histone acetyltransferase regulates active DNA demethylation in Arabidopsis. Science 336, 1445–1448. doi: 10.1126/science.1219416

PubMed Abstract | CrossRef Full Text | Google Scholar

Richard, M. M. S., Gratias, A., Thareau, V., Kim, K. D., Balzergue, S., Joets, J., et al. (2018). Genomic and epigenomic immunity in common bean: the unusual features of NB-LRR gene family. DNA Res. 25, 161–172. doi: 10.1093/dnares/dsx046

PubMed Abstract | CrossRef Full Text | Google Scholar

Shivaprasad, P. V., Chen, H. M., Patel, K., Bond, D. M., Santos, B. A., and Baulcombe, D. C. (2012). A microRNA superfamily regulates nucleotide binding site-leucine-rich repeats and other mRNAs. Plant Cell 24, 859–874. doi: 10.1105/tpc.111.095380

PubMed Abstract | CrossRef Full Text | Google Scholar

Tan, X., Meyers, B. C., Kozik, A., ALWest, M., Morgante, M., Clair, D. A. S., et al. (2007). Global expression analysis of nucleotide binding site-leucine rich repeat-encoding and related genes in Arabidopsis. BMC Plant Biol. 7:56. doi: 10.1186/1471-2229-7-56

PubMed Abstract | CrossRef Full Text | Google Scholar

Tang, K., Lang, Z., Zhang, H., and Zhu, J. K. (2016). The DNA demethylase ROS1 targets genomic regions with distinct chromatin modifications. Nat. Plants 2:16169. doi: 10.1038/nplants.2016.169

PubMed Abstract | CrossRef Full Text | Google Scholar

Trapnell, C., Roberts, A., Goff, L., Pertea, G., Kim, D., Kelley, D. R., et al. (2012). Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nat. Protoc. 7, 562–578. doi: 10.1038/nprot.2012.016

CrossRef Full Text | Google Scholar

Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., et al. (2010). Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat. Biotechnol. 28, 511–515. doi: 10.1038/nbt.1621

CrossRef Full Text | Google Scholar

Untergasser, A., Cutcutache, I., Koressaar, T., Ye, J., Faircloth, B. C., Remm, M., et al. (2012). Primer3 - new capabilities and interfaces. Nucleic Acids Res. 40:e115. doi: 10.1093/nar/gks596

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Z.-X., Yano, M., Yamanouchi, U., Iwamoto, M., Monna, L., Hayasaka, H., et al. (1999). The Pib gene for rice blast resistance belongs to the nucleotide binding and leucine-rich repeat class of plant disease resistance genes. Plant J. 19, 55–64. doi: 10.1046/j.1365-313X.1999.00498.x

CrossRef Full Text | Google Scholar

Yoshimura, S., Yamanouchi, U., Katayose, Y., Toki, S., Wang, Z.-X., Kono, I., et al. (1998). Expression of Xa1, a bacterial blight-resistance gene in rice, is induced by bacterial inoculation. Proc. Natl. Acad. Sci. U.S.A. 95, 1663–1668. doi: 10.1073/pnas.95.4.1663

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, A., Lepere, G., Jay, F., Wang, J., Bapaume, L., Wang, Y., et al. (2013). Dynamics and biological relevance of DNA demethylation in Arabidopsis antibacterial defense. Proc. Natl. Acad. Sci. U.S.A. 110, 2389–2394. doi: 10.1073/pnas.1211757110

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhai, J. X., Jeong, D. H., De Paoli, E., Park, S., Rosen, B. D., Li, Y. P., et al. (2011). MicroRNAs as master regulators of the plant NB-LRR defense gene family via the production of phased, trans-acting siRNAs. Genes Dev. 25, 2540–2553. doi: 10.1101/gad.177527.111

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, H., Lang, Z., and Zhu, J. K. (2018). Dynamics and function of DNA methylation in plants. Nat. Rev. Mol. Cell Biol. 19, 489–506. doi: 10.1038/s41580-018-0016-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, H., and Zhu, J. K. (2011). RNA-directed DNA methylation. Curr. Opin. Plant Biol. 14, 142–147. doi: 10.1016/j.pbi.2011.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, J., Kapoor, A., Sridhar, V. V., Agius, F., and Zhu, J. K. (2007). The DNA glycosylase/lyase ROS1 functions in pruning DNA methylation patterns in Arabidopsis. Curr. Biol. 17, 54–59. doi: 10.1016/j.cub.2006.10.059

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, J. K. (2009). Active DNA demethylation mediated by DNA glycosylases. Annu. Rev. Genet. 43, 143–166. doi: 10.1146/annurev-genet-102108-134205

PubMed Abstract | CrossRef Full Text | Google Scholar

Zilberman, D., Gehring, M., Tran, R. K., Ballinger, T., and Henikoff, S. (2007). Genome-wide analysis of Arabidopsis thaliana DNA methylation uncovers an interdependence between methylation and transcription. Nat. Genet. 39, 61–69. doi: 10.1038/ng1929

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: nucleotide-binding leucine-rich repeat genes, DNA demethylases, cytosine methylation, active DNA demethylation, transcriptional regulation

Citation: Kong W, Xia X, Wang Q, Liu L-W, Zhang S, Ding L, Liu A and La H (2020) Impact of DNA Demethylases on the DNA Methylation and Transcription of Arabidopsis NLR Genes. Front. Genet. 11:460. doi: 10.3389/fgene.2020.00460

Received: 14 January 2020; Accepted: 14 April 2020;
Published: 26 May 2020.

Edited by:

Frank L. W. Takken, University of Amsterdam, Netherlands

Reviewed by:

Thierry Halter, INSERM U1024 Institut de biologie de l’Ecole Normale Supérieure, France
Changwei Shao, Yellow Sea Fisheries Research Institute (CAFS), China

Copyright © 2020 Kong, Xia, Wang, Liu, Zhang, Ding, Liu and La. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Weiwen Kong, wwkong@yzu.edu.cn; Honggui La, hongguila@njau.edu.cn

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.