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. 2020 Jan 31;21(3):953. doi: 10.3390/ijms21030953

Systematic Analysis of the DNA Methylase and Demethylase Gene Families in Rapeseed (Brassica napus L.) and Their Expression Variations After Salt and Heat stresses

Shihang Fan 1,†, Hongfang Liu 1,†, Jing Liu 1, Wei Hua 1, Shouming Xu 2,*, Jun Li 1,*
PMCID: PMC7036824  PMID: 32023925

Abstract

DNA methylation is a process through which methyl groups are added to the DNA molecule, thereby modifying the activity of a DNA segment without changing the sequence. Increasing evidence has shown that DNA methylation is involved in various aspects of plant growth and development via a number of key processes including genomic imprinting and repression of transposable elements. DNA methylase and demethylase are two crucial enzymes that play significant roles in dynamically maintaining genome DNA methylation status in plants. In this work, 22 DNA methylase genes and six DNA demethylase genes were identified in rapeseed (Brassica napus L.) genome. These DNA methylase and DNA demethylase genes can be classified into four (BnaCMTs, BnaMET1s, BnaDRMs and BnaDNMT2s) and three (BnaDMEs, BnaDML3s and BnaROS1s) subfamilies, respectively. Further analysis of gene structure and conserved domains showed that each sub-class is highly conserved between rapeseed and Arabidopsis. Expression analysis conducted by RNA-seq as well as qRT-PCR suggested that these DNA methylation/demethylation-related genes may be involved in the heat/salt stress responses in rapeseed. Taken together, our findings may provide valuable information for future functional characterization of these two types of epigenetic regulatory enzymes in polyploid species such as rapeseed, as well as for analyzing their evolutionary relationships within the plant kingdom.

Keywords: rapeseed, DNA methylase, DNA demethylase, systematic analysis, salt/heat stress

1. Introduction

Epigenetics is the study of heritable phenotypic changes that do not involve changes in the DNA sequence. Mounting evidence has implied DNA methylation, as one kind of epigenetic regulatory pathways, in various aspects of plant growth and development via a number of key processes including genomic imprinting and repression of transposable elements [1,2,3,4,5,6,7]. DNA methylation mainly occurs as modifications of cytosine into 5-methylcytosine (5-meC), in sequence targets such as CG, CHG, CHH (where H stands for A, C or T), and as conversion of purines into N6-methyladenine (N6-mA) and 7-methylguanine (7-mG) [8,9].

The actual DNA methylation patterns and levels are related to the function of DNA methyltransferase (DNA-MTase) and DNA demethylase (DNA-deMTase). DNA-MTase is essential for DNA methylation, and the enzymes belonging this family could be sorted into four categories based on the protein structure and function, respectively: methyltransferase 1 (MET1), chromomethylase (CMT), domains rearranged methyltransferase (DRM) and DNA methyltransferase-2 (DNMT2) [10,11]. MET1 functions to maintain the DNA methylation level of CG during DNA replication [12,13]. CMT, which is known to be unique in plants, helps to maintain DNA methylation of CHG, CHH and heterochromatin status [14,15]. DRM mediates the de novo methylation of the asymmetric site CHH sequences of DNA. De novo DNA methylation is mediated by RNA-directed DNA methylation (RdDM), a plant-specific RNA silencing pathway directed by 24-nt small interfering RNAs (siRNA) [16,17]. DNMT2, another category of methyltransferase that is conserved in many plants, can methylate tRNA(Asp)C38 in vitro [18]. To date, DNA-MTase have already been identified and characterized in several plant species, including Arabidopsis [19], Oryza sativa [20], Daucus carota [21], Hordeum vulgare [22], Zea mays [23] and Lycopersicon esculentum [24].

The precise status of DNA methylation depends not only on the function of DNA-MTase, but also on the DNA-deMTase. DNA-deMTases are contain a conserved DNA glycosilase motif and play a critical role in DNA demethylation by excision of the 5-meC in all sequence contexts (CG, CHG and CHH) [25]. Like DNA-Mtases, DNA-deMTases can be divided into four subfamilies: Repressor Of Silencing1 (ROS1), DEMETER (DME) and DEMETER-like2/3 (DML2 and DML3). Among these sub-families, ROS1 is responsible for the demethylation in the somatocyte of different plant tissues, inhibits the DNA methylation in gene promoter regions and transposons, and is involved in responses to the biotic and abiotic stresses [26,27,28], while DME is primarily expressed only in the central cell of the female gametophyte (the progenitor of the endosperm) and can influence the development of embryo and endosperm during seed development [29]. DML2/3 encode the proteins with DNA glycosylase activity that are involved in maintaining methylation marks, but their precise biological role remains unknown [30].

DNA methylation is influenced by the environmental stresses (both biotic and abiotic stresses) and may contribute to the adaptation of plants to stress [31]. Biotic stresses (e.g., pathogenic infection, virus and pathogen) can lead to two contrasting effects on the levels of methylation in plants: hypermethylation on the genome-wide level and hypomethylation of resistance-related genes [32,33]. Abiotic stresses (e.g., chilling, heat, drought, salt, planting density, heavy metal, rubbing and cutting) can generally result in decrease or increase the DNA methylation level [34,35,36,37].

Rapeseed (Brassica napus L.) is one of the most important oil crops in the world. It is a polyploid species(AACC) formed by recent allopolyploidy between the ancestors of B. oleracea (CC) and B. rapa (AA) [38]. In turn, genomes of B. rapa (AA) and its sister species B. oleracea (CC) were almost complete triplications of the genome of A. thaliana [39,40]. The balance of genome dosage between subgenomes is crucial for the formation of allopolyploid, and DNA methylation is no doubt playing significant roles in this process. However, systematic identification and characterization of DNA-MTase and DNA-deMTase genes in rapeseed is still lacking. Here, we first identified 22 DNA methylase and six demethylase genes in the rapeseed genome, respectively. Then, we performed numerous subsequent analyses including phylogenetic analysis, gene structure analysis, conserved domains/chromosomal location and synteny analysis. Furthermore, we analyzed the expression profiles of these genes in various tissues as well as their expression variations after heat/salt stresses treatments. Our study may provide valuable information for future functional characterization of these two kinds of epigenetic regulatory enzymes in polyploid species rapeseed as well as for analyzing their evolutionary relationships in the whole plant kingdoms.

2. Results

2.1. Identification of DNA Methyltransferases and Demethylases Genes in Rapeseed Genome

22 DNA-MTase genes and six DNA-deMTase genes were identified upon BLASTP-querying the rapeseed database with the full-length nucleic acid sequences of DNA-MTase and DNA-deMTase genes of A. thaliana. The newly-identified genes were named after their A. thaliana homologs gene (Table 1). The number of DNA-MTase and DNA-deMTase genes in B. napus (22 and six, respectively) were more than that of in A. thaliana (seven and four, respectively) and O. sativa (nine and three, respectively). The 22 DNA-MTase genes in rapeseed could be classified into the four subfamilies, with six CMT (BnaCMTa-f), six MET1 (BnaMET1a-f), two DNMT2 (BnaDNMT2a-b) and eight DRM (BnaDRMa-h) genes. The six DNA-deMTase genes belonged to three subgroups, with genes each of the DME (BnaDMEa-b), DML3 (BnaDMLa-b) ROS1 (BnaROS1a-b) families (Table 1). Both the A and the C genomes contribute with 14 genes to the identified repertoire. We also analyzed the gene characteristics, including coding sequence direction, start position, end position, sequence length, molecular weight (MW), isoelectric point (PI) and subcellular localization. The length of the ORFs from the start to stop codons varied from 1128 (BnaDNMT2b) to 5607 bp (BnaDMEa), and the encoded polypeptides ranged from 375 to 1868 amino acids (with an average length of 879 aminoacids for DNA-MTaseand 1411 for DNA-deMTase), with predicted molecular masses ranging from 42.49 to about 207.48 kDa (with an average of 99.09kDa for DNA-MTase and 158.69 kDa for DNA-deMTase). Computed PI ranges from 4.87 to 9.01 (with an average PI of 6.09 for DNA-MTase and 7.59 for DNA-deMTase) (Table 1). Most of the proteins were predicted to localize in the cell nucleus, except for BnaDRMa and BnaDRMb which were predicted to be extracellular proteins (Table 1).

Table 1.

Basic characteristic of genes encoding DNA methyltransferase (DNA-MTase) and DNA demethylase (DNA-deMTase) in rapeseed.

Gene ID GENE NAME Sub Cellular Direction Start Pos End Pos DNA Length CDS Length Exon No. AA Length Mol.Wt. (kD) PI
BnaA06g23880D BnaCMTa Nuclear + 16,520,582 16,525,017 4436 2418 20 805 91.94 6.57
BnaC03g49350D BnaCMTb Nuclear - 34,264,132 34,268,583 4452 2409 20 802 91.61 7.52
BnaA06g07080D BnaCMTc Nuclear - 3,771,918 3,776,153 4563 2367 21 788 88.78 5.15
BnaC05g08730D BnaCMTd Nuclear - 4,569,531 4,573,838 4641 2391 20 796 89.4 5.06
BnaA01g09820D BnaCMTe Nuclear + 4,828,328 4,834,033 5706 3297 23 1,098 122.34 6.02
BnaC01g11520D BnaCMTf Nuclear + 7,147,733 7,153,381 5843 3435 22 1,144 127.61 5.7
BnaA06g29420D BnaMET1a Nuclear - 20,057,862 20,064,228 6367 3099 11 1032 117.19 9.01
BnaC07g27300D BnaMET1b Nuclear + 32,855,407 32,862,845 7439 3297 12 1098 125.27 8.82
BnaC08g34700D BnaMET1c Nuclear + 32,763,560 32,769,056 5705 4296 13 1431 162.1 5.92
BnaA09g42250D BnaMET1d Nuclear + 29,386,022 29,391,515 5642 4299 13 1432 162.15 6.07
BnaA04g13390D BnaMET1e Nuclear - 11,296,866 11,302,393 5666 4299 13 1432 161.45 6.05
BnaC04g35500D BnaMET1f Nuclear - 37,010,080 37,015,638 5700 4326 13 1441 162.14 6.07
BnaC07g29260D BnaDNMT2a Nuclear + 34,107,074 34,109,326 2468 1164 10 387 43.97 5.49
BnaA06g27730D BnaDNMT2b Nuclear - 19,065,967 19,068,137 2342 1128 10 375 42.49 5.68
BnaA05g22820D BnaDRMa Extracellular + 17,302,556 17,308,756 6464 2655 14 884 96.78 5.01
BnaC05g36090D BnaDRMb Extracellular + 35,279,390 35,282,899 3889 2124 9 707 78.88 4.87
BnaA07g28030D BnaDRMc Nuclear + 20,274,800 20,280,859 6187 2823 19 940 106.79 6.47
BnaC06g30710D BnaDRMd Nuclear + 31,350,535 31,353,717 3183 1911 11 636 72.2 5.1
BnaA02g02230D BnaDRMe Nuclear - 970,840 973,703 3262 1677 10 558 62.91 5.31
BnaC02g05620D BnaDRMf Nuclear - 2,918,874 2,921,525 2652 1668 9 555 62.39 5.17
BnaA10g19200D BnaDRMg Nuclear + 13,731,342 13,734,360 3780 1671 11 441 49.53 7.01
BnaC09g42890D BnaDRMh Nuclear + 44,252,075 44,255,166 4126 1671 11 556 62.09 5.26
BnaA10g25630D BnaDMEa Nuclear - 16,440,585 16,454,849 15,293 5607 23 1,868 207.48 8.3
BnaC09g50670D BnaDMEb Nuclear + 48,435,123 48,442,674 7929 5133 20 1,710 189.21 7.98
BnaA01g03070D BnaDML3a Nuclear - 1,479,536 1,485,590 6369 3243 24 1080 124.52 8.59
BnaC01g04300D BnaDML3b Nuclear - 2,253,312 2,260,155 6948 3549 24 1182 135.52 8.37
BnaA05g07800D BnaROS1a Nuclear + 4,240,657 4,246,594 6512 3903 24 1300 146.68 6.27
BnaC04g08810D BnaROS1b Nuclear + 6,603,988 6,609,839 6583 3975 22 1324 148.73 6.08
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2.2. Multiple Sequences Alignment and Phylogenetic Analysis in Rapeseed, Arabidopsis and Rice

The identified DNA-MTase and DNA-deMTase genes in B. napus, together with those present A. thaliana and O. sativa genomes, were submitted to multiple sequence alignments and the corresponding phylogenetic tree was constructed (Figure 1A). Phylogenetic analysis showed that DNA-MTase from these three plant species were divided into four clusters (MET1, CMT, DRM and DNMT2). Similarly, DNA-deMTase could be separated into three sub-clades, (ROS1, DME, and DML3). As expected, rapeseed genes proved to be more similar to those of the dicotyledon plant (Arabidopsis) than to the monocotyledon plant (rice), in agreement with their evolutionary relationships. Among these rapeseed genes, six BnaMET1s, six BnaCMTs, eight BnaDRMs, two BnaDNMT2s were classified into the DNA-MTase gene family. And two BnaDMEs, two BnaDML3s, two BnaROS1s were classified into the DNA-deMTase gene family. No Brassica napus genes showed homology to the AthDML2 sub-family. As observed also for A. thaliana and O. sativa, DNA-MTase genes are more abundant than DNA-deMTase genes.

Figure 1.

Figure 1

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Evolutionary relationship, gene structure, and protein domain analysis of rapeseed DNA-MTase and DNA-deMTase gene families. (A): Family phylogenetic tree analysis. The evolutionary distances were computed using the Poisson correction method and are in units of “number of amino acid substitutions per site”. The analysis involved 51 amino acid sequences. All positions containing gaps and missing data were disregarded; (B): Gene structure. Exons are shown as green boxes, and introns are shown as black lines, upstream/downstream are shown as purple boxes. Some genes lack the annotation of upstream/downstream zone; (C): Protein domains. Schematic representation of conserved motifs. Colored boxes indicate different conserved motifs.

2.3. Chromosomal Location and Synteny Analysis

The twenty-eight identified genes were dispersed unevenly though seventeen chromosomes (Figure 2). Chromosome-A06 contains the most genes (BnCMTc, BnCMTa, BnDNMT2b, and BnMET1a), whereas chromsomes A3 and A8 did not contain any target gene and the other chromsomes have one or two genes. Most of the DNA-Mtase and DNA-deMTase genes are located at the start or end parts of the chromosomes.

Figure 2.

Figure 2

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Genomic distribution of rapeseed DNA-MTase and DNA-deMTase families’ genes on chromosomes. The vertical bars with varying lengths represent B. napus chromosomes; short black horizontal lines indicate the position of each gene, chrA01 to chrA10 and chrC01 to chrC09 are the ten and nine chromosomes in the An and Cn subgenomes in B. napus, respectively.

We conducted a synteny analysis on these target genes to investigate the duplication events occurring in the rapeseed and Arabidopsis DNA-MTase and DNA-deMTase gene family (Figure 3). Three-way homology was observed between Bna-A05, Bna-C04 and Ath-chr2 (BnaROS1a, BnaROS1b and AthROS1); Bna-A10, Bna-C09 and Ath-chr5 (BnaDMEa, BnaDMEb and AthDME); Bna-A06, Bna-C07 and Ath-chr5 (BnaDNMT2b, BnaDNMT2a and AthDNMT2). Two duplication events of Ath-chr5 into Bna-A02/Bna-A10 and Bna-C02/Bna-C09 and (BnaDRMe, BnaDRMf, BnaDRMg, BnaDRMh and AthDRM2) were found. Two separate cases of homology were found between chromosomes Bna-A01, Bna-C01 and Ath-chr4 (BnaCMTe, BnaCMTf and AthCMT2; BnaDML3a, BnaDML3b and AthDML3), presumably evolved from longer segment duplication. BnaCMTa/b, BnaCMTc/d, BnaMET1a/b, BnaMET1d/c/e/f, BnaDRMa/b, BnaDRMc/d evolved from intra-genome gene duplication, independent of the Arabidopsis genome.

Figure 3.

Figure 3

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Synteny analyses of rapeseed DNA-MTase and DNA-deMTase families’ genes between B. napus and Arabidopsis. A01 to A10 and C01 to C09 represent the ten and nine chromosomes in the An and Cn subgenomes in B. napus, respectively. Chr1 to Chr5 represent the five chromosomes in Arabidopsis. Syntenic regions between B. napus and Arabidopsis are represented by blue lines.

2.4. Gene Structure and Conserved Motif Distribution Analysis

To study the component of the target genes structure, the amount and distribution of exons/introns were examined (Figure 1B). Each gene contains between nine and 24 exons, with an average number of 21 exons for BnaCMT, 12.5 for BnaMET, 10 for BnaDNMT2 10, 11.75 for BnaDRM, 21.5 for BnaDME, 24 for BnaDML3 24 and 23 exons for BnaROS1. The exon/intron structures of most genes in the same sub-group have a similar number of exons/intros, with small variations between zero and five. In addition, every sub-family appeared to share structural similarities with their homologous gene in Arabidopsis. However, some genes displayed more volatile structures and exhibited distinct intron/exon arrangements (e.g., BnaMET1a/b, BnaDRMa/b/c, and BnaDMEa). In our monocotyledon model plant (rice), all the homologous genes have greater variation in exon/intron number than Arabidopsis and rapeseed.

The conserved motifs of every sub-family were analyzed separately by CDD web server. Nine conserved motifs were identified (Figure 1C), generally present at the C-terminus of DNA-MTase/deMTase protein sequences. The sub-family of CMTs harbour BAH, CD and MTASE functional domains. MET1s contain DNMT-RFD, BAH and Mtase domains, whereas DNMT2s only contain MTASE. DRMs carry the UBA and MTASE domains. All of the DNA-MTase proteins have the same conserved function domain of a Cytosine-C5 specific DNA methylases motif, MTASE. Especially of the members of DNMT2s, almost the entire amino acid sequence is a core conserved domain of MTASE. The three sub-families DML3s, DMEs, and ROS1s contain the same conserved domains of END03c, Perm and DNA glycoslyase (DNA glycoslyase, which is the core domain of the DNA-deMTase proteins). Remarkably, all the core conserved domains are located at the C-terminus in both DNA-Mtase and DNA-deMTase protein sequences. In general, conservation of these motifs in the target proteins was higher in rapeseed and Arabidopsis.

2.5. Expression Patterns of DNA Methylase and Demethylase Genes in Various Tissues of ZS11

To gain insights into the expression of these DNA-MTase/deMTase genes, various tissues of ‘ZS11′ (rapeseed cultivar) were analyzed. A DNA-MTase/deMTase genes are widely expressed in these 22 tissues (Figure 4), which shows that DNA-MTase/deMTase genes play a regulatory role in different stages and tissues of plant growth and development.

Figure 4.

Figure 4

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Heat map of rapeseed DNA-MTase and DNA-deMTase families’ genes expression patterns across tissues. Color scale bar at the top of each heat map represents log2-transformed FPKM (fragments per kilobase of exon per million fragments mapped) values for each gene, with warmer colors denoting higher expression. Tissues are divided into four periods according to the growth process: three leaf stage, bolting stage, flowering stage, and fruiting stage.

Different expression patterns were found for each gene. These patterns cluster in three broad sets. The set with higher transcription levels throughout the 22 tissues contained 10 genes, of which BnaROS1a, BnaROS1b, BnaDRMh and BnaDRMb show the highest expression in almost all tissues. A second set of 12 genes with moderate expression levels was found, containing BnaMET1e and BnaMET1f (which have lower transcription levels throughout except in the genital organs (pistil, silique, embryo, ovule, but not the pericarp) and BnaDMEa and BnaDMEb (whose transcription levels were especially higher in 15d-old ovule). The final, lower expression, set of genes contains six genes, including BnaDRMf, BnaMET1b, and BnaMET1a (whose transcripts are the least abundant in almost all tissues) and BnaDRMd which, in spite of being one of the least transcribed genes in most tissues, is detected in mature seeds and 35-day embryos.

2.6. Correlation between Gene Expression Patterns and Methylation Level in the Endosperm

Methylation levels (%) data obtained in our previous studies of our team [5] were then used to further explore the relationship between the degree of whole-genome methylation and the expression level of these target genes. A comprehensive horizontal comparative analysis of methylation degree and gene expression level of two varieties of B. napus, YN171 and 93275, 30-DAF endosperm was performed (Figure 5A). Analysis of the DNA methylation patterns by sequence location (gene regions and up/downstream regions) and type of DNA methylation sites showns that CHG and CHH are methylated more frequently in YN171 than in 93275, whereas in CG positions methylation is identical in YN171 and 93275.

Figure 5.

Figure 5

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DNA methylation levels and gene expression patterns of 30 DAF endosperm in 93275 and YN171. (A) The whole genome DNA methylation levels (%); (B) heat map of rapeseed DNA methyltransferases and demethylase families gene expression patterns, color scale bar at the top of each heat map represents log2-transformed fragments per kilobase of exon per million fragments mapped (FPKM) values of each gene, with warmer colors denoting higher expression.

The 30-DAF endosperm transcriptome level of YN171 and 93275 (Figure 5B) shows subtle differences: BnaDMEb expression is slightly higher in 93275. Methylases of the MET1 sub-family maintain the DNA methylation level of CG, and their expression level is generally higher in 93279, except for BnaMET1a/b, which are not expressed in either 93275 or YN171. The DNA methylation of CHG and CHH sites, in turn, largely depends on the expression of CMTs and DRMs, of which BnaCMTb/e, and BnaDRMf are slightly more expressed in YN171.

2.7. qPCR Analysis of DNA Methylase and Demethylase Genes in Response to Some Abiotic Stress

30-day seedlings were treated with 300 mM NaCl and exposed to 50 °C temperatures separately for 24 h. Real-time quantitative PCR analysis showed that the expression most rapeseed DNA methylase genes and demethylase genes were up- or down-regulated both response to hot stress and salt stress, while some gene expression levels were not significantly different (Figure 6).

Figure 6.

Figure 6

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Expression patterns of target genes in response to salt and high temperature stress conditions. Three replicates were performed for the analysis of each condition: untreated control (purple), 24 h 300 mM NaCl stress (red), and 24 h 50 °C heat stress (green). Transcript levels were analyzed by quantitative real-time PCR using BnTMA7 gene as an internal control [41]. Statistically significant differences (t-test) vs. control group (CK) are indicated by asterisks: * p < 0.05, ** p < 0.01.

In both stress conditions, BnaCMTa was significantly down-regulated (by 2-fold) compared to the control group, while most other members of BnaCMTs did not change appreciably. The members of the BnaMETs gene family showed different degrees of down-regulation response to salt stress, but their expression levels were not affected by the high temperature stress. BnaDNMT2s were approximately 2-fold up-regulated after both salt stress and high temperature stress. Among the BnaDRMs subfamily genes, BnaDRMd showed similar levels of down-regulation under salt stress, while BnaDRMa, BnaDRMg and BnaDRMh showed relatively high up-regulation by both stresses. Opposite responses to both stresses were only found for BnaDRMc, which showed a slight down-regulation response to salt stress and a 1.7-fold up-regulation response to hot stress.

BnaDMEs, BnaDML3s, and BnaROS1s are demethylase genes, and most of them are mildly up-regulated for salt stress and high temperature stress. Only BnaDML3a, BnaROS1a and BnaROS1b show some down-regulation response to salt stress, while BnaROS1a was also less expressed under heat stress.

3. Discussion

In this study, we found that the genes encoding rapeseed DNA-MTases and DNA-deMTases contain 13 introns and 22 introns on average, respectively. Similar situations were also found in other plant species including A. thaliana (with an average of 16 introns in DNA-MTase, and DNA-deMTase) and rice (with an average of 10 introns in DNA-MTase and 15 in DNA-deMTase genes). However, the average number of introns in all coding genes in rapeseed is only 3.90, 4.86 in A. thaliana is 4.86 and 3.40 in rice. Why did plant evolve so many introns in these two gene families which encode enzymes with crucial roles in mantaining DNA methylation status? It is known that introns are ubiquitous in the genome of eukaryotes, and can regulate gene expression, including transcription, RNA stability, export, and even translation through exon junction complexes [42]. The function and structure of genes evolve in different directions, which promotes the adaptation of species to changes in family genetic structure during evolution [43]. Whether the more abundant introns will lead to more alternatively spliced transcripts in rapeseed DNA-MTases and DNA-deMTases, or whether more introns provide more protection to reduce the mutation frequency of those coding genes that are vital and indispensable for plant survival remains to be addressed in future comparative genomics studies.

The expression levels of BnaMET1e and BnaMET1f in almost all tissues were low, and only in the ovule of 15 DAF were they particularly high. This observation is consistent with previous reports that the main function of MET1 is to maintain the methylation of cytosine in CG, and MET1 can affect the morphological characteristics of plants and regulate the time of flowering [44]. MET1 is widely involved in the development of morphological features in their own growth stages, the formation of gametophytes in the reproductive stage, and the stage of embryos development [45].

The expression profiles of BnaDMEa and BnaDMEb were uniform and low in the vast majority tissues, but only high expressed in the ovule of 15 DAF. Expression of DME (which is unique to dicotyledons), was first found in the central cells of the female gametophyte and in the helper cells, affecting the development of embryos and endosperm by regulating demethylation [29]. BnaROS1a and BnaROS1b were highly expressed in every tissue, especially in the embryos of 25-35 DAF, but were lower in the mature seeds. ROS1 is expressed in all tissues from both monocotyledons and dicotyledons [26], and inhibits promoter methylation [27,28].

Rapeseed performance is severely affected by high salt concentrations in soils and high temperature. Uncovering the mechanism of salt and heat tolerance in plants and finding related functional genes are therefore essential tasks for successful molecular breeding. In order to adapt to environmental challenges, plants can make adjustments in response to various abiotic and biotic stresses [36,46]. For example, after low temperature stress the methylation level of root genome decreases in maize seedlings [47]. Lack of water in peas will cause osmotic stress, leading to closure of the stomata and an increase in the degree of methylation of the genome [34]. In Arabidopsis subjected to salt stress hypermethylated regions were mainly distributed at the 5’ and 3’ terminal and exon regions, and the intron sites were not significantly changed [36].

This study found that the transcription level of some target genes changed significantly in response to heat or salt stress. In particular, expression of BnaCMTa showed extremely significant down-regulation under salt stress and heat stress. The expression of the members of the BnaMETs subfamily was decreased by the applied stressors and was more sensitive to salt stress than heat stress. In contrast, the BnaDNMTs subfamily was significantly more expressed under salt stress and heat stress. BnaDRMs were generally mildly down-regulated upon salt and heat treatment, with the exception of BnaDRMa and BnaDRMg, which were significantly up-regulated. The remaining demethylases (with the exception of BnaROS1a) were somewhat up-regulated by these stresses. Under different abiotic stresses, the expression levels of methyltransferase gene and demethylase gene changed appreciably. It is therefore possible that the methylation of some key genes (such as BnaCMTa, BnaDNMTa/b, BnaDRMa/g, BnaDMEa/b, BnaDML3a/b) is essential for the abiotic response of plants. The specific mechanism underlying this requires further research and analysis. Interestingly, cis-acting elements in the promoter sequence contain many elements related to resistance (Supplemental Figure S1).

Abiotic stress can induce methylation variation in plant DNA, potentially affecting gene expression regulation and transposon activity, and therefore changing the expression of genetic information, and providing plasticity for plants to adapt to poor environments. Therefore, methylation variation has been considered as an important mechanism for plants to respond to adversity and has been widely studied. Many questions remain, including how plants perceive stress and how to activate adaptation mechanisms. Since the regulatory mechanism of cells is an extremely complex multi-factor synergy, DNA methylation regulation may be just one factor regulating gene expression.

4. Materials and Methods

4.1. Identification of DNA Methylase and Demethylase Proteins in Rapeseed

DNA methylation mechanisms in A. thaliana (a model dicotyledon plant) have previously been studied in depth. DNA methylase and demethylase genes in this species have been annotated in TAIR (Arabidopsis thaliana, dicotyledons, TAIR10, https://www.arabidopsis.org/). To identify potential members of the homologous genes in rapeseed, the amino acid sequences of Arabidopsis DNA methylase and demethylase were used as queries in BLASTp (E value > 10−5) searches against the B. napus annotation database version 4.1 (http://www.genoscope.cns.fr/brassicanapus/). To confirm the accuracy of these predicted genes, amino acid sequences were analyzed using CDD V. 3.15 and sequences without conserved domains were excluded. The homologous DNA methylase and demethylase proteins in Oryza sativa (v7_JGI, monocotyledons) were obtained from Phytozome v11 (https://phytozome.jgi.doe.gov/pz/portal.html) [48]. The ProtComp 9.0 cello web server (http://linux1.softberry.com) was used to predict the sub-cellular localization of these genes, and the ProtParam program (http://web.expasy.org/protparam/) was used to obtain the theoretical molecular weight (MW) and isoelectric point (pI) of these proteins.

4.2. Multiple Sequence Alignment and Phylogenetic Analysis

All putative DNA methylase and demethylase proteins in B. napus were aligned with the proteins in Arabidopsis and O. sativa using MUSCLE with default parameters (version 3.8, Hinxton, Cambridge, UK) [49]. The unrooted phylogenetic tree was constructed using the full length sequences of proteins with MEGA7 [50] software using the neighbor joining (NJ) methods. The bootstrap test was performed using 1000 iterations.

4.3. Chromosome Localization and Collinearity Analysis

The locations of identified genes on the chromosomes of B. napus were taken from the GFF (Graphics File Formats) file, which was downloaded from genome database. The collinearity pattern was analyzed using MCScanX according to the B. napus and Arabidopsis genome annotation information, to obtain the corresponding chromosome homologous segment [51].

4.4. Gene Structure and Conserved Domains Analysis

Gene structure Display Server 2.0 (http://gsds.cbi.pku.edu.cn/index.php) [52] was used to show exon/intron structure of each DNA methylase and demethylase genes. Amino acid sequences and the conserved domains of these proteins were analyzed by using conserved domain database (https://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi) [53]. In total, 2kb long upstream regions of each gene were extracted and analyzed for its cis-acting elements [54].

4.5. Expression Analysis of DNA Methylase and Demethylase Genes

In order to investigate the expression patterns of DNA methylase and demethylase genes, we analyzed data previously obtained by our group, including the whole genome bisulfite sequencing data and the transcriptome from the endosperm of immature seeds 30 days after flowering (DAF) from 93275, YN171 [5], and the transcriptome of 22 different tissues of ZS11 cultivars well as qPCR analysis of “ZS11” after heat/salt stress treatments. The expression profiles of the DNA methylase and demethylase genes were studied, and the transcript abundance was calculated by RPKM (Reads per Kilobase per Million Mapped Reads, value of log 2). Hierarchical clustering analysis of transcription profiles was performed using the hclust command in R. The methylation level from 2 kb upstream to 2 kb downstream of genes was analyzed to investigate the DNA methylation pattern around CG, CHG and CHH residues.

4.6. Plant Material and Treatments

All the rapeseed lines introduced in our studies belong to Brassica napus L. (semi-winter rapeseed cultivars) and were grown in the fields at Wuhan, China. Endosperms of YN171 and 93275 were collected from 30DAF immature seeds, for both RNA-seq and whole genome bisulfite sequencing. 22 different tissues of ZS11 (7d seeding, root and leaf of trefoil stage, root and leaf of bolting stage, base stem, top stem, axillary bud, flower bud, petal, stamen, pistil, rosette leaf of flowering, cauline leaf of flowering, silique of 3DAF and 10DAF, silique wall of 15DAF and 25DAF, ovule of 15DAF, embryo of 25DAF and 35DAF, mature seed.) were obtained. To explore the effects of abiotic stress on these genes, ZS11 was treated with 50 °C 200 mM NaCl for 24 h at the stage of 5 leaves. Each sample was collected from at least three individual plants and with two biological replicates. All the collected tissues were immediately frozen in liquid nitrogen and stored at −80 °C.

4.7. RNA Extraction and Quantitative Real-Time PCR

Total RNA was extracted with MiniBEST Plant RNA Extraction Kit (TaKaRa, Dalian, China). Synthesis of first-strand cDNA and RT-PCR was performed using the PrimeScript™ RT reagent Kit (TaKaRa, Dalian, China) with gDNA Eraser. qRT-PCR was conducted by Hieff® qPCR SYBR Green Master Mix (YEASEN, Shanghai, China). Three replicates were performed for the analysis of each gene. The rapeseed BnTMA7 gene was used as an internal control. The primers used in gene expression analysis are listed in Table S1.

Supplementary Materials

The following are available online at https://www.mdpi.com/1422-0067/21/3/953/s1.

Click here for additional data file. (824.3KB, rar)

Author Contributions

All the authors have contributed significantly. J.L. (Jun Li) and S.F. designed the research and wrote the article. S.F. and H.L. collected dataand performed most of the data analysis. S.F. performed the experiments. W.H. and J.L. (Jing Liu) provided the research facility. J.L. (Jun Li) participated in the revision of the manuscript. S.X. coordinated the study. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the National Natural Science Foundation of China (31500237 and 31871664). 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. The authors would like to express their gratitude to EditSprings (https://www.editsprings.com/) for the expert linguistic services provided.

Conflicts of Interest

The authors declare no conflict of interest.

References

  • 1.Cubas P., Vincent C., Coen E. An epigenetic mutation responsible for natural variation in floral symmetry. Nature. 1999;401:157. doi: 10.1038/43657. [DOI] [PubMed] [Google Scholar]
  • 2.Manning K., Tör M., Poole M., Hong Y., Thompson A.J., King G.J., Giovannoni J.J., Seymour G.B. A naturally occurring epigenetic mutation in a gene encoding an SBP-box transcription factor inhibits tomato fruit ripening. Nat. Genet. 2006;38:948. doi: 10.1038/ng1841. [DOI] [PubMed] [Google Scholar]
  • 3.Xiang H., Zhu J., Chen Q., Dai F., Li X., Li M., Zhang H., Zhang G., Li D., Dong Y. Single base–resolution methylome of the silkworm reveals a sparse epigenomic map. Nat. Biotechnol. 2010;28:516. doi: 10.1038/nbt.1626. [DOI] [PubMed] [Google Scholar]
  • 4.Choi K., Zhao X., Tock A.J., Lambing C., Underwood C.J., Hardcastle T.J., Serra H., Kim J., Cho H.S., Kim J. Nucleosomes and DNA methylation shape meiotic DSB frequency in Arabidopsis thaliana transposons and gene regulatory regions. Genome Res. 2018;28:532–546. doi: 10.1101/gr.225599.117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Liu J., Li J., Liu H.-F., Fan S.-H., Singh S., Zhou X.-R., Hu Z.-Y., Wang H.-Z., Hua W. Genome-wide screening and analysis of imprinted genes in rapeseed (Brassica napus L.) endosperm. Dna Res. 2018;25:629–640. doi: 10.1093/dnares/dsy030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Sun Q., Qiao J., Zhang S., He S., Shi Y., Yuan Y., Zhang X., Cai Y. Changes in DNA methylation assessed by genomic bisulfite sequencing suggest a role for DNA methylation in cotton fruiting branch development. PeerJ. 2018;6:e4945. doi: 10.7717/peerj.4945. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Xing M.-Q., Zhang Y.-J., Zhou S.-R., Hu W.-Y., Wu X.-T., Ye Y.-J., Wu X.-X., Xiao Y.-P., Li X., Xue H.-W. Global analysis reveals the crucial roles of DNA methylation during rice seed development. Plant. Physiol. 2015;168:1417–1432. doi: 10.1104/pp.15.00414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Achwal C.W., Iyer C.A., Chandra H.S. Immunochemical evidence for the presence of 5mC, 6mA and 7mG in human, Drosophila and mealybug DNA. Febs Lett. 1983;158:353–358. doi: 10.1016/0014-5793(83)80612-7. [DOI] [PubMed] [Google Scholar]
  • 9.Klungland A., Robertson A.B. Oxidized C5-methyl cytosine bases in DNA: 5-hydroxymethylcytosine; 5-formylcytosine; and 5-carboxycytosine. Free Radic. Biol. Med. 2017;107:62–68. doi: 10.1016/j.freeradbiomed.2016.11.038. [DOI] [PubMed] [Google Scholar]
  • 10.Buryanov Y.I., Shevchuk T. DNA methyltransferases and structural-functional specificity of eukaryotic DNA modification. Biochemistry (Mosc.) 2005;70:730–742. doi: 10.1007/s10541-005-0178-0. [DOI] [PubMed] [Google Scholar]
  • 11.Cao D., Ju Z., Gao C., Mei X., Fu D., Zhu H., Luo Y., Zhu B. Genome-wide identification of cytosine-5 DNA methyltransferases and demethylases in Solanum lycopersicum. Gene. 2014;550:230–237. doi: 10.1016/j.gene.2014.08.034. [DOI] [PubMed] [Google Scholar]
  • 12.Dhe-Paganon S., Syeda F., Park L. DNA methyl transferase 1: Regulatory mechanisms and implications in health and disease. Int. J. Biochem. Mol. Biol. 2011;2:58. [PMC free article] [PubMed] [Google Scholar]
  • 13.Greb-Markiewicz B., Orłowski M., Dobrucki J., Ożyhar A. Sequences that direct subcellular traffic of the Drosophila methoprene-tolerant protein (MET) are located predominantly in the PAS domains. Mol. Cell. Endocrinol. 2011;345:16–26. doi: 10.1016/j.mce.2011.06.035. [DOI] [PubMed] [Google Scholar]
  • 14.Clark T.A., Murray I.A., Morgan R.D., Kislyuk A.O., Spittle K.E., Boitano M., Fomenkov A., Roberts R.J., Korlach J. Characterization of DNA methyltransferase specificities using single-molecule, real-time DNA sequencing. Nucleic Acids Res. 2011;40:e29. doi: 10.1093/nar/gkr1146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Kim J.Y., Jang I.-C., Seo H.S. COP1 controls abiotic stress responses by modulating AtSIZ1 function through its E3 Ubiquitin ligase activity. Front. Plant Sci. 2016;7:1182. doi: 10.3389/fpls.2016.01182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Ashapkin V., Kutueva L., Vanyushin B. Plant DNA methyltransferase genes: Multiplicity, expression, methylation patterns. Biochemistry (Mosc.) 2016;81:141–151. doi: 10.1134/S0006297916020085. [DOI] [PubMed] [Google Scholar]
  • 17.Gao Z., Liu H.-L., Daxinger L., Pontes O., He X., Qian W., Lin H., Xie M., Lorkovic Z.J., Zhang S. An RNA polymerase II-and AGO4-associated protein acts in RNA-directed DNA methylation. Nature. 2010;465:106. doi: 10.1038/nature09025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Eissenberg J.C. Molecular biology of the chromo domain: An ancient chromatin module comes of age. Gene. 2001;275:19–29. doi: 10.1016/S0378-1119(01)00628-X. [DOI] [PubMed] [Google Scholar]
  • 19.Genger R.K., Kovac K.A., Dennis E.S., Peacock W.J., Finnegan E.J. Multiple DNA methyltransferase genes in Arabidopsis thaliana. Plant. Mol. Biol. 1999;41:269–278. doi: 10.1023/A:1006347010369. [DOI] [PubMed] [Google Scholar]
  • 20.Ahmad F., Huang X., Lan H., Huma T., Bao Y., Huang J., Zhang H. Comprehensive gene expression analysis of the DNA (cytosine-5) methyltransferase family in rice (Oryza sativa L.) Genet. Mol. Res. 2014;13:5159–5172. doi: 10.4238/2014.July.7.9. [DOI] [PubMed] [Google Scholar]
  • 21.Palmgren G., Mattsson O., Okkels F.T. Specific levels of DNA methylation in various tissues, cell lines, and cell types of Daucus carota. Plant. Physiol. 1991;95:174–178. doi: 10.1104/pp.95.1.174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Ruffini Castiglione M., Venora G., Ravalli C., Stoilov L., Gecheff K., Cremonini R. DNA methylation and chromosomal rearrangements in reconstructed karyotypes of Hordeum vulgare L. Protoplasma. 2008;232:215–222. doi: 10.1007/s00709-007-0275-6. [DOI] [PubMed] [Google Scholar]
  • 23.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. doi: 10.1007/s00299-014-1645-0. [DOI] [PubMed] [Google Scholar]
  • 24.Teyssier E., Bernacchia G., Maury S., Kit A.H., Stammitti-Bert L., Rolin D., Gallusci P. Tissue dependent variations of DNA methylation and endoreduplication levels during tomato fruit development and ripening. Planta. 2008;228:391. doi: 10.1007/s00425-008-0743-z. [DOI] [PubMed] [Google Scholar]
  • 25.Zhu J.-K. Active DNA demethylation mediated by DNA glycosylases. Annu. Rev. Genet. 2009;43:143–166. doi: 10.1146/annurev-genet-102108-134205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Gong Z., Morales-Ruiz T., Ariza R.R., Roldán-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. doi: 10.1016/S0092-8674(02)01133-9. [DOI] [PubMed] [Google Scholar]
  • 27.Zhu J., Kapoor A., Sridhar V.V., Agius F., Zhu J.-K. The DNA glycosylase/lyase ROS1 functions in pruning DNA methylation patterns in Arabidopsis. Curr. Biol. 2007;17:54–59. doi: 10.1016/j.cub.2006.10.059. [DOI] [PubMed] [Google Scholar]
  • 28.Agius F., Kapoor A., Zhu J.-K. Role of the Arabidopsis DNA glycosylase/lyase ROS1 in active DNA demethylation. Proc. Natl. Acad. Sci. USA. 2006;103:11796–11801. doi: 10.1073/pnas.0603563103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Choi Y., Gehring M., Johnson L., Hannon M., Harada J.J., Goldberg R.B., Jacobsen S.E., Fischer R.L. DEMETER, a DNA glycosylase domain protein, is required for endosperm gene imprinting and seed viability in Arabidopsis. Cell. 2002;110:33–42. doi: 10.1016/S0092-8674(02)00807-3. [DOI] [PubMed] [Google Scholar]
  • 30.Penterman J., Zilberman D., Huh J.H., Ballinger T., Henikoff S., Fischer R.L. DNA demethylation in the Arabidopsis genome. Proc. Natl. Acad. Sci. USA. 2007;104:6752–6757. doi: 10.1073/pnas.0701861104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Zhang H., Lang Z., Zhu J.-K. Dynamics and function of DNA methylation in plants. Nat. Rev. Mol. Cell Biol. 2018;19:489. doi: 10.1038/s41580-018-0016-z. [DOI] [PubMed] [Google Scholar]
  • 32.Pavet V., Quintero C., Cecchini N.M., Rosa A.L., Alvarez M.E. Arabidopsis displays centromeric DNA hypomethylation and cytological alterations of heterochromatin upon attack by Pseudomonas syringae. Mol. Plant.-Microbe Interact. 2006;19:577–587. doi: 10.1094/MPMI-19-0577. [DOI] [PubMed] [Google Scholar]
  • 33.Choi C.-S., Sano H. Abiotic-stress induces demethylation and transcriptional activation of a gene encoding a glycerophosphodiesterase-like protein in tobacco plants. Mol. Genet. Genom. 2007;277:589–600. doi: 10.1007/s00438-007-0209-1. [DOI] [PubMed] [Google Scholar]
  • 34.Smýkal P., Valledor L., Rodriguez R., Griga M. Assessment of genetic and epigenetic stability in long-term in vitro shoot culture of pea (Pisum sativum L.) Plant. Cell Rep. 2007;26:1985–1998. doi: 10.1007/s00299-007-0413-9. [DOI] [PubMed] [Google Scholar]
  • 35.Yang J., Liu L., Gong Y., Huang D., Wang F., He L. Analysis of genomic DNA methylation level in radish under cadmium stress by methylation-sensitive amplified polymorphism technique. Zhi Wu Sheng Li Yu Fen Zi Sheng Wu Xue Xue Bao = J. Plant Physiol. Mol. Biol. 2007;33:219–226. [PubMed] [Google Scholar]
  • 36.Bilichak A., Ilnystkyy Y., Hollunder J., Kovalchuk I. The progeny of Arabidopsis thaliana plants exposed to salt exhibit changes in DNA methylation, histone modifications and gene expression. PLoS ONE. 2012;7:e30515. doi: 10.1371/journal.pone.0030515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Dowen R.H., Pelizzola M., Schmitz R.J., Lister R., Dowen J.M., Nery J.R., Dixon J.E., Ecker J.R. Widespread dynamic DNA methylation in response to biotic stress. Proc. Natl. Acad. Sci. USA. 2012;109:E2183–E2191. doi: 10.1073/pnas.1209329109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Sun F., Fan G., Hu Q., Zhou Y., Guan M., Tong C., Li J., Du D., Qi C., Jiang L. The high-quality genome of Brassica napus cultivar ‘ZS 11′reveals the introgression history in semi-winter morphotype. Plant. J. 2017;92:452–468. doi: 10.1111/tpj.13669. [DOI] [PubMed] [Google Scholar]
  • 39.Chalhoub B., Denoeud F., Liu S., Parkin I.A., Tang H., Wang X., Chiquet J., Belcram H., Tong C., Samans B. Early allopolyploid evolution in the post-Neolithic Brassica napus oilseed genome. Science. 2014;345:950–953. doi: 10.1126/science.1253435. [DOI] [PubMed] [Google Scholar]
  • 40.Wang X., Wang H., Wang J., Sun R., Wu J., Liu S., Bai Y., Mun J.-H., Bancroft I., Cheng F. The genome of the mesopolyploid crop species Brassica rapa. Nat. Genet. 2011;43:1035. doi: 10.1038/ng.919. [DOI] [PubMed] [Google Scholar]
  • 41.Yang H., Liu J., Huang S., Guo T., Deng L., Hua W. Selection and evaluation of novel reference genes for quantitative reverse transcription PCR (qRT-PCR) based on genome and transcriptome data in Brassica napus L. Gene. 2014;538:113–122. doi: 10.1016/j.gene.2013.12.057. [DOI] [PubMed] [Google Scholar]
  • 42.Monteuuis G., Wong J.J., Bailey C.G., Schmitz U., Rasko J.E. The changing paradigm of intron retention: Regulation, ramifications and recipes. Nucleic Acids Res. 2019;47:11497–11513. doi: 10.1093/nar/gkz1068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Vertino P.M., Yen R.-W., Gao J., Baylin S.B. De novo methylation of CpG island sequences in human fibroblasts overexpressing DNA (cytosine-5-)-methyltransferase. Mol. Cell. Biol. 1996;16:4555–4565. doi: 10.1128/MCB.16.8.4555. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Finnegan E.J., Peacock W.J., Dennis E.S. DNA methylation, a key regulator of plant development and other processes. Curr. Opin. Genet. Dev. 2000;10:217–223. doi: 10.1016/S0959-437X(00)00061-7. [DOI] [PubMed] [Google Scholar]
  • 45.Salilew-Wondim D., Saeed-Zidane M., Hoelker M., Gebremedhn S., Poirier M., Pandey H.O., Tholen E., Neuhoff C., Held E., Besenfelder U. Genome-wide DNA methylation patterns of bovine blastocysts derived from in vivo embryos subjected to in vitro culture before, during or after embryonic genome activation. Bmc Genom. 2018;19:424. doi: 10.1186/s12864-018-4826-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Matzke M.A., Mosher R.A. RNA-directed DNA methylation: An epigenetic pathway of increasing complexity. Nat. Rev. Genet. 2014;15:394–408. doi: 10.1038/nrg3683. [DOI] [PubMed] [Google Scholar]
  • 47.Steward N., Ito M., Yamaguchi Y., Koizumi N., Sano H. Periodic DNA methylation in maize nucleosomes and demethylation by environmental stress. J. Biol. Chem. 2002;277:37741–37746. doi: 10.1074/jbc.M204050200. [DOI] [PubMed] [Google Scholar]
  • 48.Goodstein D.M., Shu S., Howson R., Neupane R., Hayes R.D., Fazo J., Mitros T., Dirks W., Hellsten U., Putnam N., et al. Phytozome: A comparative platform for green plant genomics. Nucleic Acids Res. 2012;40:D1178–D1186. doi: 10.1093/nar/gkr944. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Edgar R.C. MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004;32:1792–1797. doi: 10.1093/nar/gkh340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Kumar S., Stecher G., Tamura K. MEGA7: Molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol. Biol. Evol. 2016;33:1870–1874. doi: 10.1093/molbev/msw054. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.You J., Zhang L., Song B., Qi X., Chan Z. Systematic analysis and identification of stress-responsive genes of the NAC gene family in Brachypodium distachyon. PLoS ONE. 2015;10:e0122027. doi: 10.1371/journal.pone.0122027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Kayum M.A., Park J.-I., Nath U.K., Saha G., Biswas M.K., Kim H.-T., Nou I.-S. Genome-wide characterization and expression profiling of PDI family gene reveals function as abiotic and biotic stress tolerance in Chinese cabbage (Brassica rapa ssp. pekinensis) BMC Genom. 2017;18:885. doi: 10.1186/s12864-017-4277-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Marchler-Bauer A., Bo Y., Han L., He J., Lanczycki C.J., Lu S., Chitsaz F., Derbyshire M.K., Geer R.C., Gonzales N.R. CDD/SPARCLE: Functional classification of proteins via subfamily domain architectures. Nucleic Acids Res. 2016;45:D200–D203. doi: 10.1093/nar/gkw1129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Rombauts S., Déhais P., Van Montagu M., Rouzé P. PlantCARE, a plant cis-acting regulatory element database. Nucleic Acids Res. 1999;27:295–296. doi: 10.1093/nar/27.1.295. [DOI] [PMC free article] [PubMed] [Google Scholar]

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Supplementary Materials

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