Skip to main content

ORIGINAL RESEARCH article

Front. Plant Sci., 04 January 2023
Sec. Plant Abiotic Stress
This article is part of the Research Topic Methods, Applications, and Protocols in Plant Science: Network Modeling-guided Understanding of Gene Regulation in Plants View all 5 articles

Identification and gene expression analysis of cytosine-5 DNA methyltransferase and demethylase genes in Amaranthus cruentus L. under heavy metal stress

  • Institute of Plant Genetics and Biotechnology, Plant Science and Biodiversity Centre, Slovak Academy of Sciences, Nitra, Slovakia

Amaranth has become increasingly popular due to its highly nutritious grains and ability to tolerate environmental stress. The mechanism underlying defense and adaptation to environmental stress is a complicated process involving DNA methylation and demethylation. These epigenetic features have been well documented to play an important role in plant stress response, including heavy metal-induced stress. This study was aimed at the identification and analysis of cytosine-5 DNA methyltransferase (C5-MTase) and demethylase (DMTase) genes in Amaranthus cruentus. Eight C5-MTase and two DMTase genes were identified and described in response to individual heavy metals (Cd, Pb, Zn, Mn) and their combination (Cd/Pb, Cd/Zn, Pb/Zn) in root and leaf tissues. Studied heavy metals, individually and in combinations, differentially regulated C5-MTase and DMTase gene expression. Interestingly, most of the genes were transcriptionally altered under Zn exposure. Our results suggest that identified amaranth MTase and DMTase genes are involved in heavy metal stress responses through regulating DNA methylation and demethylation level in amaranth plants.

1. Introduction

DNA methylation is defined as a conserved and heritable epigenetic modification that plays an essential function in the regulation of plant development and responses to stress conditions (Zhang and Lang, 2018; Gallego-Bartolomé, 2020). The most common and the best characterized epigenetic modification is the 5-methylcytosine (5-mC) which possess a methyl group at the 5-carbon position of cytosine (Pavlopoulou and Kossida, 2007; Harrison and Parle-McDermott, 2011; Zhang and Lang, 2018). DNA methylation in plants is found in both symmetric (CG and CHG) and asymmetric (CHH) contexts, where H = A, T, or C (Chen and Li, 2004; Bartels et al., 2018). The level of cytosine methylation in plant genome is different and not stable. In Arabidopsis, genome-wide methylation mapping has shown that 20–33% of genes are methylated (Penterman et al., 2007). In rice genome, 13–15% of the total cytosines are methylated, and their number increases under stress (Kumar et al., 2022). In higher plants, the level of DNA methylation is controlled by three mechanisms: initiation of DNA methylation de novo, maintenance of pre-existing DNA methylation and DNA demethylation (Wang et al., 2016; Bartels et al., 2018; Yu et al., 2021). Based on the data obtained in Arabidopsis and other plant species, DOMAINS REARRANGED METHYLTRANSFERASE 1 and 2 (DRM1 and DRM2) initiate de novo DNA methylation (Cao and Jacobsen, 2002; Zhang, 2006; Bartels et al., 2018), DNA METHYLTRANSFERASE 1 (MET1) maintains CG methylation (Finnegan and Dennis, 1993; Kankel et al., 2003) and CHROMOMETHYLASE 2 and 3 (CMT2 and CMT3) primarily maintain CHG and CHH DNA methylation (Bartee et al., 2001; Lindroth et al., 2001; Du et al., 2012; Wang et al., 2016). DNA methylation is a reversible modification, thus DNA demethylases DEMETER (DME), DEMETER-like 2 (DML2), DEMETER-like 3 (DML3) and REPRESSOR OF SILENCING 1 (ROS1) actively remove 5-mC through the base excision repair pathway (Zhu, 2009; Bartels et al., 2018; Liu and Lang, 2020).

To a large extent, DNA methylation regulates plant growth and development through a cascade of gene repression and activation (Zhang and Lang, 2018; Kumar and Mohapatra, 2021). Abiotic and biotic stresses can trigger changes in DNA methylation at the level of individual loci or whole-genome (Liu and He, 2020). Epigenetic stress memory might be a crucial part of plant defense strategy to cope with extreme and inevitable environmental changes (Kinoshita and Seki, 2014; Kumar et al, 2016; Kumar, 2018; Ashapkin et al., 2020). Land pollution from rapidly expanding industrialization negatively influences the crop growth and production worldwide. Thus, knowledge of processes associated with abiotic stress and identification of the factors responsible for stress memory can provide an opportunity to improve plant tolerance.

Grain amaranths, namely Amaranthus cruentus, A. hypochondriacus, and A. caudatus are highly nutritional pseudocereals characterized by the ability to tolerate environmental stress (Coelho et al., 2018; Lancíková et al., 2020; Pulvento et al., 2022). There is still a little known about the molecular mechanisms responsible for such a strong stress tolerance, and even less is known about epigenetic regulation in Amaranthus. Herein, we aimed to identify cytosine-5 DNA methyltransferase (C5-MTase) and demethylase (DMTase) genes in amaranth. Specific genes encoding amaranth DNA MTases and DMTases have not been previously identified and/or analyzed. Furthermore, the transcript abundance was analyzed in root and leaf tissues under the normal growing conditions and also in response to heavy metal (HM) stress. Specifically, the effect of cadmium (Cd), lead (Pb), zinc (Zn) and manganese (Mn) on the activity of C5-MTase and DMTase genes was tested. The effect of HMs was tested individually and also in the following combinations Cd/Pb, Cd/Zn and Pb/Zn. Understanding of epigenetic regulation in amaranth plants might provide an essential information how crops are dealing with HM pollution.

2 Materials and methods

2.1 Plant material cultivation and heavy metal treatments

Amaranth (Amaranthus cruentus L.) variety “Pribina”, previously bred and registered in Slovakia, was used for the analysis. Amaranth plants were cultivated as previously described by Lancíková et al. (2020). Briefly, the hydroponic experiments were performed in the growth chamber at 23°C, 16/8 light/dark cycle and 50% humidity (KK 1450 TOP+FIT model, POL-EKO Aparatura, Poland). Amaranth was germinated and cultivated in soil until the stage of 4-5 true leaves, then transferred into hydroponic solution (Hoagland and Arnon, 1950). To study the effect of HMs, amaranth was cultivated in clean Hoagland solution for one week, consequently HMs were added into solution. Plants were cultivated with HMs for two weeks, control plants were cultivated alongside. Then, root and leaf tissues were collected for analysis. HMs were added into hydroponic solution either individually, thus Cd (CdCl2; 15 mg.L-1), Pb (PbNO3; 200 mg.L-1), Zn (ZnCl2; 150 mg.L-1), Mn (MnCl2; 300 mg.L-1) or in combinations [Cd/Pb (15 + 200 mg.L-1), Cd/Zn (15 + 150 mg.L-1) and Pb/Zn (200 + 150 mg.L-1)].

2.2 Identification and characterization of A. cruentus DNA MTase and DMTase genes

For in silico identification of MTase and DMTase, the genome of Amaranthus hypochondriacus was retrieved from the online Phytozome database (https://phytozome-next.jgi.doe.gov/info/Ahypochondriacus_v2_1). To search C5-MTase and DMTase protein sequences, the conserved key domains were employed as queries. The Hidden Markov Model (HMM) was obtained from PFAM database (http://pfam.xfam.org/). The HMM ID of C5-MTase conserved key domain is PF00145 and the HMM IDs PF00730 and PF15628 are for DNA DMTase conserved key domains. The candidate proteins were confirmed and classified with the Simple Modular Architecture Research Tool (SMART, http://smart.embl-heidelberg.de/) (Schultz et al., 1998). Incomplete and redundant protein sequences were removed. The ExPASy tool (https://web.expasy.org/protparam/) was used for calculating the grand average of hydrophobicity (GRAVY), molecular weight (MW) and isoelectric point (pI). The subcellular localization was predicted with Plant-mPloc (http://www.csbio.sjtu.edu.cn/bioinf/plant-multi/) (Chou and Shen, 2010). Prediction of nuclear localization signals for identified C5-MTase and DMTase proteins was performed using cNLS Mapper (https://nls-mapper.iab.keio.ac.jp/cgi-bin/NLS_Mapper_form.cgi) (Kosugi et al., 2009).

2.3 Conserved motifs, gene-structure, protein-protein interaction analysis

Full length amino acid sequences of amaranth C5-MTases and DMTases were used for conserved motif analysis using Multiple Expectation Maximization for Motif Elicitation (https://meme-suite.org/meme/) (Bailey et al., 2015) software version 5.4.1. Genomic and coding sequences of C5-MTases and DMTases in amaranth were analyzed using Gene Structure Display Server (http://gsds.gao-lab.org/) (Hu et al., 2015) version 2.0, and schematic diagrams of individual genes were displayed. The protein-protein interaction network was constructed using the STRING (https://string-db.org/) (Snel et al., 2000) software version 11.5.

2.4 Phylogenetic analysis

Amaranth C5-MTase and DMTase protein sequences were aligned by Molecular Evolutionary Genetics Analysis (MEGA X) (Kumar et al., 2018) software version X. Subsequently, an evolutionary analysis based on the Neighbor-Joining method with 1000 bootstrap replicates was conducted using MEGA X.

2.5 RNA isolation and gene expression analysis

RNA isolation, reverse transcription and quantitative PCR were performed as previously described (Lancíková et al., 2020). In summary, total RNA was extracted according to the protocol based on TriZOL reagent (Chomczynski and Mackey, 1995). Approximately 50 mg of plant tissues were incubated with TriZOL, then chloroform extraction was performed and supernatant was precipitated using isopropanol as previously described (Lancíková et al., 2020). The cDNA was synthetized from 1 µg of RNA using Maxima First Strand cDNA Synthesis Kit for RT-qPCR (Thermo Fisher Scientific, Waltham, USA) according to the manufacturer’s instructions.

Transcript abundance of identified C5-MTase and DMTase genes was evaluated using qPCR according to the previously published protocol (Lancíková et al., 2020). Briefly, standard curves were generated for qPCR optimization using the series of five-fold cDNA dilutions (1:1, 1:5, 1:25, 1:125, 1:625, and 1:3125). For each gene, PCR efficiency (E), and correlation coefficient (R2) were determined using the linear regression. PCR efficiency of 90-110% and R2>0.99 were accepted. The quantitative PCR (qPCR) was performed in the LightCycler® Nano (Roche, Basel, Switzerland). The reaction mixtures consisted of 2x SsoAdvanced Universal SYBR® Green supermix (Bio-Rad, Hercules, USA), 400 nM of each forward and reverse primer, 50 ng of cDNA, and nuclease-free water added up to the total reaction volume of 10 µl. Two-step amplification protocol was applied, initial denaturation at 95°C for 30 sec; 45 cycles of denaturation at 95°C for 15 sec and annealing/polymerization at 60°C for 60 sec; then melting analysis from 60°C to 97°C at 0.1°C/s was performed to verify the specificity of the desired amplicon. Expression of all analyzed genes was determined in each reaction using the threshold cycle (Ct value). The Ct value was set automatically by LightCycler Nano software. Calculation of relative gene expression was performed according to Pfaffl (2001) using the PCR efficiencies and Ct values of control and unknown samples. The Amaranthus hypochondriacus Tubulin (AhTUB) gene was used as an internal standard in all experiments. The primer sequences of the MTases, DMTases and reference gene are shown in the Table 1.

TABLE 1
www.frontiersin.org

Table 1 Primer sequences for analyzed MTase, DMTase and reference genes in A. cruentus.

2.6 Statistical analysis

Statistical analysis of the obtained data was performed using the GraphPad Prism version 9.4.0. (GraphPad Software, Inc., San Diego, USA). All analysis were performed in three biological replicates. Statistical significance was analyzed using the one-way ANOVA with post-hoc Tukey’s multiple comparisons test.

3 Results

3.1 Identification, structural analysis, nuclear localization of Amaranthus cruentus MTase and DMTase

Taken together, eight MTases and two DMTases were described in Amaranthus cruentus. Based on the identified conserved domains, these DNA MTases were divided into three groups – MET1, CMT and DRM2. MTases and DMTases were named according to the highest identity score with their closest homolog as follows: two members of MET1 group, AcMET1a and AcMET1b, four members of CMT group, AcCMT1, AcCMT2a, AcCMT2b and AcCMT3, two members of DRM2 group, AcDRM2a and AcDRM2b, and two DML2 DMTases, AcDML2a and AcDML2b.

Key DNA methylase conserved domains were identified, namely bromo adjacent homology (BAH) domain and replication foci domain (RFD) in MET1 group and BAH and chromo (Chr) domains in CMT group. MET1s are homologs of mammalian DNMT1, while CMTs are plant-specific DNMTs. Two identified DMTases belong to the DML2 group, and harbored RNA recognition motif-DME (RRM-DME) domain, permuted single zf-CXXC (Perm-CXXC) domain and endonuclease III (ENDO3c) domain. Structural analysis showed that AcCMT1, AcCMT2a and AcCMT2b harbor one BAH domain and one Chr domain, while AcCMT3 harbors one BAH domain and two Chr domains. MET1 was characterized by presence of two RFD and two BAH domains.

The length of amino acid (AA) sequences varied from 256 (AcMET1a) to 1492 (AcMET1b) in C5-AcMTase proteins. The AA sequences length of DMTase was 1929 and 286 for AcDML2a and AcDML2b, respectively. The molecular weight ranged from 28.43 to 215.08 kDa with a pI 4.76-7.79, mostly indicating the neutral and basic nature of the identified proteins. The GRAVY index of the identified proteins varies from the lowest -0.576 (AcDRM2b) to the highest -0.154 (AcMET1a), thus A. cruentus C5-MTases and DMTases are hydrophilic. The predicted subcellular localization for the most identified proteins was in the nucleus, except the proteins AcMET1a and AcDRM2b localized in chloroplast (Tables 2, 3).

TABLE 2
www.frontiersin.org

Table 2 Characterization of A. cruentus C5-MTase and DMTase genes; 1Gene ID from A.hypochondriacus genome in Phytozome database; 2Chromosome location in the genome of A.hypochondriacus; 3AA – number of amino acids; 4MW – protein molecular weight; 5GRAVY – grand average of hydrophobicity; 6pI – isoelectric point; 7Intron number; 8Predicted subcellular localization by Plant-mPloc software.

TABLE 3
www.frontiersin.org

Table 3 Prediction of nuclear localization signals for identified C5-MTase and DMTase proteins in A. cruentus; cut off score = 2; protein with score >8 is predicted to be localized exclusively in nucleus, score >3 and <8 both the nucleus and the cytoplasm; score <2 localized in the cytoplasm.

The exon-intron architecture of the A. cruentus MTase and DMTase genes was characterized. The coding region of the MTase genes was interrupted by 3–29 introns, while that of the DMTase was interrupted by 6 and 18 introns, respectively. Among them, the MTase gene with the largest number of introns is AcCMT3, while AcMET1a contains the least introns (Figure 1).

FIGURE 1
www.frontiersin.org

Figure 1 Gene structure of A. cruentus C5-MTase and DMTase genes; CDS regions are represented by yellow boxes; UTR regions by blues boxes; lines indicate intron regions.

3.2 Phylogenetic analysis

Evolutionary analysis was performed where A. cruentus C5-MTases and DMTase were divided into two main clusters. In total, 10 conserved motifs were identified for both C5-MTases and DMTase. The length of conserved motifs varied from 20 to 50 amino acids in analyzed C5-MTases and from 6 to 50 amino acids in DMTase (Figure 2).

FIGURE 2
www.frontiersin.org

Figure 2 Evolutionary analysis and conserved motifs identified in A. cruentus C5-MTase and DMTase proteins; evolutionary analysis was performed using the Neighbor-Joining method; conserved motifs were identified using the MEME software, conserved motifs identified in (A) C5-MTases and (B) DMTases.

3.3 Protein-protein interaction

The network of protein-protein interactions was computationally predicted using the STRING 11 database. The highest homology of identified C5-MTase and DMTase proteins was shown to Beta vulgaris. Therefore, the corresponding protein homologs of A. cruentus and B. vulgaris were aligned and an interaction map was constructed. Functionally, the analyzed proteins are involved in the following biological processes – DNA methylation on cytosine within a CG sequence, non-CG methylation, maintenance of DNA methylation, demethylation, base-excision repair and DNA metabolic process. Specifically, AcMET1a and AcMET1b showed 70 and 82% homology with B. vulgaris DNA (cytosine-5)-methyltransferase 1-b like isoform x1, respectively. A high homology was observed for all analyzed proteins, specifically AcCMT1 and putative DNA (cytosine-5)-methyltransferase CMT1 showed 71% identity. Furthermore, A. cruentus AcCMT2a, AcCMT2b and AcCMT3 share homology with B. vulgaris CMT2-like, CMT2 isoform x1 and CMT3 at levels 71, 72, and 77%, respectively. Both AcDRM2a and AcDRM2b were homologous to B. vulgaris DRM2-like at the level 70 and 82%. Amaranth demethylase AcDLM2a showed 64% homology with protein ROS1, and AcDLM2b with Demeter-like protein 3 isoform x1 has 49% homology.

The analyzed proteins were divided into three clusters at a confidence level of 0.40. The interaction among AcCMT2a, AcCMT2b and AcDLM2b was observed, then AcCMT1, AcDLM2a and AcDRM2b were clustered, and the third cluster was formed by AcDRM2a, AcMET1b and AcCMT3 (Figure 3). AcDLM2a and AcDLM2b interact relatively strongly with C5-MTases, mainly AcCMTs and AcDRM2b, suggesting that the level of cytosine methylation can be dynamically regulated by both C5-MTases and DMTases.

FIGURE 3
www.frontiersin.org

Figure 3 Computational prediction of protein-protein interaction network for AcC5-MTases and AcDMTases showing functional and physical associations among proteins. The dotted lines represent a relatively weak interaction while the solid lines indicate a relatively strong interaction. Colored lines between the proteins indicate the various types of interaction evidence: yellow line indicates textmining evidence, black line indicates coexpression evidence and purple line indicates experimental evidence.

3.4 DNA MTase and DMTase gene expression in A. cruentus in response to HM stress

Environmental pollution with HMs can significantly alter plant growth and development. Amaranth efficiently copes with HMs, even accumulates the large amount of metal ions into root tissues. However, the molecular mechanism of amaranth adaptive responses to HMs is still uncovered. To evaluate the responses of the C5-MTase and DMTase transcripts to metal stress, four metal ions - Cd, Pb, Zn, and Mn were applied in the excessive concentration. In general under the control conditions, MTase and DMTase genes showed higher expression in leaf tissues when compared to the roots (Figure 4). However, de novo MTase AcDRM2a gene expression was almost completely silenced in leaf tissues. Relative gene expression of MTase and DMTase genes in tested tissues under HMs exposure is shown in Figure 5. Significant changes in gene expression between control and HM-treated plants are schematically represented in a heatmap (Figure 6) based on the Tukey’s test.

FIGURE 4
www.frontiersin.org

Figure 4 Basal expression of A. cruentus MTase and DMTase genes in root and leaf tissues in control conditions. Data were quantified using the 2−ΔΔCt method based on Ct values of A. cruentus MTase and DMTase genes and tubulin. Error bars indicate the mean ± SD (standard deviation) of three biological replicates.

FIGURE 5
www.frontiersin.org

Figure 5 Relative expression of A. cruentus MTase and DMTase genes in root and leaf tissues under the individual and combined HM stress. Error bars indicate the mean ± SD (standard deviation) of three biological replicates. .

FIGURE 6
www.frontiersin.org

Figure 6 Heatmap representation of relative expression data for A. cruentus MTase and DMTase genes in the root (A) and leaf (B) tissues under the various HM stress; asterisks in heatmap show statistical significance at p <0.05 based on Tukey’s test when comparing HM-treated and control plants. The white and blue scale indicate relative expression to control samples where the expression level was set to 1.

When comparing the stress response in root and leaf amaranth tissues, notable gene response was primarily observed in roots (Figure 5). This is consistent with our hypothesis because roots are the first point of contact, and most HMs are stored in roots. When analyzing the effect of various HMs on the MTase and DMTase gene expression, Mn did not disturb the amaranth methylome. The expression of most genes was comparable to control plants in both tissues, with the exception of AcDRM2a and AcCMT1, which were differentially expressed in leaves. Interestingly, Zn triggered a much stronger stress response than toxic Cd. In response to Zn stress, almost all analyzed genes were significantly upregulated in roots (Figure 6A). Especially chromomethylase AcCMT2b showed 55-fold upregulation under this metal exposure. The effect of Cd exposure was manifested in root tissues by significantly higher activity of 3 chromomethylase genes (AcCMT1, AcCMT2a, and AcCMT3), de novo MTase gene AcDRM2a and DMTase gene AcDML2b (Figure 6A). The transcript level under Pb stress was significantly higher in AcMET1a and AcDRM2b, ensuring the maintenance of CG methylation and de novo DNA methylation.

As shown in Figure 5, MTase and DMTase gene expression in leaves was mostly steady or slightly upregulated in comparison to the controls. However, de novo MTase AcDRM2a and AcDRM2b were significantly upregulated in response to Cd and Pb. On the other side, AcCMT1 was significantly downregulated in response to the Cd, Zn and Mn stress. Moreover, AcCMT3 was significantly suppressed in response to the Cd stress (Figure 6B), which indicates the different regulation of DNA MTases depending on the metal stress.

3.5 Effect of combined HM stress on MTase and DMTase gene expression

The expression pattern of MTase and DMTase genes was also investigated under combined HM stress (Figures 5, 7). As well studied toxic metals, Cd and Pb ions and their combination were applied. Additionally, Zn was used as an essential metal that showed the most notable effect on expression patterns of investigated MTase and DMTase genes, mainly in roots (Figure 6A).

FIGURE 7
www.frontiersin.org

Figure 7 Heatmap representation of relative expression data for A. cruentus MTase and DMTase genes in the root (A) and leaf (B) tissues under the combined HM stress; asterisks in heatmap show statistical significance at p <0.05 based on Tukey’s test when comparing HM-treated and control plants. The white and blue scale indicate relative expression to control samples where the expression level was set to 1.

Interestingly, the combination of two toxic metals Cd/Pb did not significantly upregulate gene expression in below-ground tissues (Figure 7A). Unlike roots, combined Cd/Pb stress triggered the most significant response in leaf tissues. Specifically, de novo MTase gene AcDRM2b and DMTase AcDML2a, were significantly upregulated 6 and 5-fold, respectively (Figure 7B). Unexpectedly, the expression of AcCMT2b and AcCMT3 was completely silenced in leaves during this combined HM stress.

However, there is clear evidence that combined stress involving Zn led to the significant response of specific MTase and DMTase genes. In roots, genes AcMET1b and AcDRM2b, responsible for the maintenance of CG methylation, were significantly (6 and 90-fold, respectively) upregulated in response to the simultaneous Cd/Zn stress (Figure 7A). Furthermore, DMTase gene AcDML2b showed 20-fold upregulation. As the results show, the AcDRM2b appears to play a crucial role in response to the Cd/Zn stress, perhaps protecting the amaranth genome from excess stress by hypermethylation. At the same time, DMTase AcDML2b counteracts uncontrolled DNA methylation.

DMTase gene AcDML2b was also significantly upregulated in response to the combined Pb/Zn stress, which suggests its involvement in genome protection against hypermethylation. Simultaneous Pb/Zn exposure induced significant upregulation of AcMET1a and chromomethylases AcCMT2a and AcCMT2b (Figure 7A).

4 Discussion

In the last few years, relatively forgotten pseudocereal amaranth (Amaranthus spp.) gained the interest of researchers worldwide. When climate change and environmental pollution are in focus, amaranth’s adaptability and tolerance to harsh environmental conditions become interesting. These attributes might also be important for agricultural purposes and soil remediation strategies (Li et al., 2016; Guo et al., 2019; Wang et al., 2019; Lancíková et al., 2020; Njoku and Nwani, 2022). However, there is little known about amaranth stress response at the molecular level. Based on our knowledge, no study dealing with epigenetic regulation of stress response has been performed up to this date.

Herein, eight A. cruentus C5-MTase and two DMTase genes were identified. Three groups of C5-MTase genes, MET, CMT and DRM, were recognized. As regards to MET genes, analysis resulted in identification of two genes, similar to soybean or rice (Sharma et al., 2009; Garg et al., 2014). In comparison, there are six members of MET group in rapeseed and only one in tomato or pea (Pavlopoulou and Kossida, 2007; Cao et al., 2014; Fan et al., 2020a). Moreover, four members of the CMT group were discovered in amaranth and also in soybean, while there are three members in rice and six members in rapeseed (Sharma et al., 2009; Garg et al., 2014; Fan et al., 2020a). Amaranth harbors CMT1 gene also identified in Arabidopsis, however, concluded as defective and/or silent. Interestingly, globe artichoke lacks CMT1 homolog (Ashapkin et al., 2016). Likewise in this study, all rapeseed CMT proteins were also predicted to be localized in the cell nucleus (Fan et al., 2020a), while the predicted localization of the other MTases varied. Only two DRM genes were recognized in A. cruentus, while rice, soybean or rapeseed contain four, five, and eight DRM genes, respectively (Sharma et al., 2009; Garg et al., 2014; Fan et al., 2020a).

From the two DMTase groups, only members of the DML2 group have been found in A. cruentus. DMTases DML2 belong to the 5-methylcytosine DNA glycosylases, which are expressed in many plant organs and are required to remove DNA methylation marks from improperly-methylated cytosines, but also to maintain high levels of methylation in properly targeted sites (Ortega-Galisteo et al., 2008). In the Arabidopsis genome, all groups of DMTase genes, including DML2, are encoded (Schumann et al., 2017). Also, higher number of the DME, DML3 and ROS1 groups have been discovered and identified in rapeseed than that of A. cruentus (Fan et al., 2020a).

Structural analysis showed that MET1 in A. cruentus is characterized by presence of two RFD and two BAH domains likewise observed in Solanum melongena (Kumar et al., 2016). It is assumed that one BAH domain mediates MET1 interaction with histone tails and second BAH domain ensures interaction with other proteins (Garg et al., 2014). The amaranth DMTases possess Perm-CXXC, which is the main attribute of Demeter-like proteins in plants (Gianoglio et al., 2017). Moreover, RRM-DME, ENDO3c belonging to the HhH-GPD domain and iron-sulphur binding FES domain which belongs to the ENDO3 superfamily. Specifically, RRM-DME sequence consists of 90 residues identified in RNA and ssDNA-binding proteins. The domain HhH-GPD is linked to base excision repair DNA glycosylase (Gianoglio et al., 2017). Protein-protein interaction analysis revealed that DMTases interact relatively strongly with C5-MTases, especially AcCMTs and AcDRM2b. Similar results were obtained in the study by Yu et al. (2021), in which it was supposed that C5-MTases and DMTases may form a reciprocal negative feedback loop that dynamically affects the overall level of cytosine methylation.

A close relationship exists between physiological responses, gene expression levels, and DNA methylation patterns under HM stress. Hypermethylation is considered one of the defense strategies of plants to protect against possible damage by HM products (Sun et al., 2022). Modulation of the metal stress response by DNA methylation has been reported in many different species, including important cereals such as wheat and barley (Kong et al., 2020). It is assumed that different plant protection mechanisms may exist depending on whether the heavy metal element is essential for plant growth or not (Sun et al., 2022). In the present study, DNA methylation also varied within the combination of metals as well as with individual metal application.

We analyzed the transcript abundance of identified MTase and DMTase genes under exposure to four metals (Cd, Pb, Zn, Mn) and three of their combinations (Cd/Pb, Cd/Zn, Pb/Zn). Our results indicate that one MTase/DMTase gene could be regulated by more than one metal. Similarly, Shafiq et al. (2020) concluded their expression study of MTases in maize under the same metal treatments.

Our previous results demonstrated uptake and accumulation of significant portion of Cd mainly into roots, with low translocation into aerial parts (Lancíková et al., 2020). Consistent with previous findings, Cd induced significant upregulation of five genes in roots, including one DMTase, while only one gene was upregulated in shoots (AcDRM2b). However, the activity of two upregulated genes (AcCMT1 and AcCMT3) in roots was significantly suppressed in shoots. This indicates that level of Cd-induced stress decreased in aerial plant parts. These chromomethylase genes are strongly associated with non-CG methylation (Stroud et al., 2014; Ashapkin et al., 2020). In leaves, only AcDRM2b gene was significantly responsive to Cd and Pb stress either when applied individually or in Cd/Pb combination. However, when these metals were applied with Zn, the AcDRM2b transcript was identified in leaf tissues as low. As for the amaranth roots, DRM genes were upregulated in response to the Cd, Pb or Zn stress and in Cd/Zn combination. Type of DRM proteins is present solely in plants. In chickpea roots, DRM genes were upregulated in response to drought, cold and salt stress (Garg et al., 2014). Differential expression of DNA MTases in response to Pb, Cd and Zn metal treatment was also observed in wheat and maize (Shafiq et al., 2019; Shafiq et al., 2020).

Sun et al. (2021) indicated that soybean resists Cd stress via an increased level of genomic DNA methylation, with the methylation level increasing with increased Cd concentration. Similarly, increased Cd concentrations combined with Mn boosted the number of differentially methylated loci in pokeweed (Jing et al., 2022). On the other hand, Cd-exposed and Cd-free rice plants had similar genomic cytosine methylation levels and no difference in DNA methylation marks was observed between the roots and shoots of rice seedlings exposed to Cd (Feng et al., 2016).

In response to individual Pb, amaranth roots showed significant upregulation of AcMET1a gene, responsible for maintenance of CG methylation, and AcDRM2b gene, responsible for de novo non-CG methylation (Brocklehurst et al., 2018). AcMET1 was upregulated in the case of combined Cd/Zn and Pb/Zn stress, while AcCMT was upregulated only in the case of Pb/Zn. Apart from MET1 and CMT genes also DML2b gene showed increased expression in root tissue under this metal combination. Specific changes in DNA methylation were also observed in response to the combination of metals (Pb, Cd and Zn) in maize. This suggests that the combination of metals could produce different levels of DNA methylation compared to individual metals (Shafiq et al., 2020).

Zn-induced stress significantly increased transcript abundance in amaranth root tissues in almost all analyzed MTase and DMTase genes. In contrast, the expression of studied genes was mainly comparable to the controls under Mn stress. Moreover, AcCMT1 was significantly downregulated in aerial parts in response to Zn and Mn stress. The amaranth genome encodes three types of CMT genes, CMT1, CMT2 and CMT3, which is comparable to the Arabidopsis genome. CMT1 is the least studied gene because it has been suggested that CMT1 is non-essential (Bewick et al., 2017). Stroud et al. (2014) tested CMT2 and CMT3 activity in vitro and confirmed their essential involvement in CHH and CHG methylation. Interestingly, CMT2 primarily methylated unmethylated sequences in both CHH and CHG sites while CMT3 preferentially targeted CHG sites at the hemimethylated sequences. Nevertheless, CMT3 is widely associated with non-CG methylation, there is a link between CMT3 and CG context gene-body methylation observed in Brassicaceae species (Bewick et al., 2017).

In control conditions, MTase genes showed higher expression in leaf tissues compared to roots. On the other hand, under HM stress, the expression of MTase genes was higher in root tissues. The exception was AcDRM2a gene, which had a higher expression in the roots under control conditions and in leaves under HM stress, especially under Pb stress. In general, none of the AcCMTs and AcMETs genes were significantly upregulated in leaves under HM stress. Some of them were significantly downregulated and AcCMT2b and AcCMT3 were completely silenced under combined HM stress in leaves. Given that the roots are in contact with heavy metals, we assume that DNA methylation occurs mainly in this tissue. The pattern of DNA methylation is organized by the interplay of DNA methylation and demethylation. In case of acute stress, hypermethylation can be balanced by demethylation process which prevents transposable elements from accumulation of DNA methylation. As a result, DNA methylation is not spreading into adjacent genes (Penterman et al., 2007; Parrilla-Doblas et al., 2019). Demethylation has also been found in response to HMs (Sun et al., 2022).

Upregulation of DML2 DMTases genes was observed in amaranth root tissues in response to Cd and Zn stress either when applied individually or in combination. DMTase gene AcDML2b was also significantly upregulated in response to the combined Pb/Zn stress in roots and AcDML2a was significantly upregulated in response to the combined Cd/Pb stress in aerial tissue. Similar observation, thus upregulation of DMTases, was described in eggplant in response to salt and drought stress (Moglia et al., 2019). In rapeseed, DMTase genes were up- or down-regulated in response to hot and salt stress (Fan et al., 2020a). In the study by Gu et al. (2016), expression of some DMTase genes increases in response to various abiotic stresses including heat, cold, drought and salinity in Fragaria vesca. On the other hand, DMTase genes were significantly inhibited and DNA methylation was increased at the genome-wide level in Arabidopsis plants under Cd stress (Fan et al., 2020b).

5 Conclusion

Eight C5-MTase (MET, CMT and DRM) and two DMTase (DML2) genes were discovered and identified in A. cruentus genome. Phylogenetic analysis separated identified genes into two main clusters. The expression pattern of identified genes varies in response to individual and combined metal treatments. Not surprisingly, the response to HM stress was observed mostly in roots compared to leaves, since the roots are the first point of contact and studied HMs are primarily stored in the roots. Further, transcripts of identified genes were highly abundant under Zn treatment, suggesting they are implicated in the mechanisms to protect the amaranth plant from Zn-induced stress. The results, however, document the involvement of C5-MTase and DMTase in general response to heavy metal-induced stress. Several other studies have also shown that patterns in methylation and demethylation levels differ by type of HM, but the results of some studies are contradictory. This suggests that HM-induced DNA methylation and demethylation in plants is a rather complicated process that requires further investigation.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Author contributions

VL and AH conceived the experiment. VL performed the experiment, analyzed the data and wrote the manuscript. JK analyzed the data and wrote the manuscript. AH reviewed and edited the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This research was funded by the Operational program Integrated Infrastructure within the project: Demand-driven research for the sustainable and innovative food, Drive4SIFood 313011V336, cofinanced by the European Regional Development Fund, and Scientific Grant Agency VEGA, grant number 2/0013/22.

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.

Publisher’s note

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.

References

Ashapkin, V. V., Kutueva, L. I., Aleksandrushkina, N. I., Vanyushin, B. F. (2020). Epigenetic mechanisms of plant adaptation to biotic and abiotic stresses. Int. J. Mol. Sci. 21, 7457. doi: 10.3390/ijms21207457

PubMed Abstract | CrossRef Full Text | Google Scholar

Ashapkin, V. V., Kutueva, L. I., Vanyushin, B. F. (2016). Plant DNA methyltransferase genes: Multiplicity, expression, methylation patterns. Biochem. (Mosc). 81, 141–151. doi: 10.1134/S0006297916020085

CrossRef Full Text | Google Scholar

Bailey, T. L., Johnson, J., Grant, C. E., Noble, W. S. (2015). The MEME suite. Nucleic Acids Res. 43, W39–W49. doi: 10.1093/nar/gkv416

PubMed Abstract | CrossRef Full Text | Google Scholar

Bartee, L., Malagnac, F., Bender, J. (2001). Arabidopsis cmt3 chromomethylase mutations block non-CG methylation and silencing of an endogenous gene. Genes Dev. 15, 1753–1758. doi: 10.1101/gad.905701

PubMed Abstract | CrossRef Full Text | Google Scholar

Bartels, A., Han, Q., Nair, P., Stacey, L., Gaynier, H., Mosley, M., et al. (2018). Dynamic DNA methylation in plant growth and development. Int. J. Mol. Sci. 19, 1–17. doi: 10.3390/ijms19072144

CrossRef Full Text | Google Scholar

Bewick, A. J., Niederhuth, C. E., Ji, L., Rohr, N. A., Griffin, P. T., Leebens-Mack, J., et al. (2017). The evolution of CHROMOMETHYLASES and gene body DNA methylation in plants. Genome Biol. 18, 65. doi: 10.1186/s13059-017-1195-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Brocklehurst, S., Watson, M., Carr, I. M., Out, S., Heidmann, I., Meyer, P. (2018). Induction of epigenetic variation in arabidopsis by over-expression of DNA METHYLTRANSFERASE1 (MET1). PloS One 13, e0192170. doi: 10.1371/journal.pone.0192170

PubMed Abstract | CrossRef Full Text | Google Scholar

Cao, X., Jacobsen, S. E. (2002). Locus-specific control of asymmetric and CpNpG methylation by the DRM and CMT3 methyltransferase genes. Proc. Natl. Acad. Sci. U S A. 99, 16491–16498. doi: 10.1073/pnas.162371599

PubMed Abstract | CrossRef Full Text | Google Scholar

Cao, D., Ju, Z., Gao, C., Mei, X., Fu, D., Zhu, H., et al. (2014). Genome-wide identification of cytosine-5 DNA methyltransferases and demethylases in Solanum lycopersicum. Gene 550, 230–237. doi: 10.1016/j.gene.2014.08.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, T., Li, E. (2004). Structure and function of eukaryotic DNA methyltransferases. Curr. Top. Dev. Biol. 60, 55–89. doi: 10.1016/S0070-2153(04)60003-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Chomczynski, P., Mackey, K. (1995). Short technical reports. modification of the TRI reagent procedure for isolation of RNA from polysaccharide- and proteoglycan-rich sources. Biotechniques 19, 942–945.

PubMed Abstract | Google Scholar

Chou, K. C., Shen, H. B. (2010). Plant-mPLoc: a top-down strategy to augment the power for predicting plant protein subcellular localization. PloS One 5, e11335. doi: 10.1371/journal.pone.0011335

PubMed Abstract | CrossRef Full Text | Google Scholar

Coelho, L. M., Silva, P. M., Martins, J. T., Pinheiro, A. C., Vicente, A. A. (2018). Emerging opportunities in exploring the nutritional/functional value of amaranth. Food Funct. 9, 5499–5512. doi: 10.1039/c8fo01422a

PubMed Abstract | CrossRef Full Text | Google Scholar

Du, J., Zhong, X., Bernatavichute, Y. V., Stroud, H., Feng, S., Caro, E., et al. (2012). Dual binding of chromomethylase domains to H3K9me2-containing nucleosomes directs DNA methylation in plants. Cell 151, 167–180. doi: 10.1016/j.cell.2012.07.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Fan, S., Liu, H., Liu, J., Hua, W., Xu, S., Li, J. (2020a). Systematic analysis of the DNA methylase and demethylase gene families in rapeseed (Brassica napus l.) and their expression variations after salt and heat stresses. Int. J. Mol. Sci. 21, 953. doi: 10.3390/ijms21030953

PubMed Abstract | CrossRef Full Text | Google Scholar

Fan, S. K., Ye, J. Y., Zhang, L. L., Chen, H. S., Zhang, H. H., Zhu, Y. X., et al. (2020b). Inhibition of DNA demethylation enhances plant tolerance to cadmium toxicity by improving iron nutrition. Plant Cell Environ. 43, 275–291. doi: 10.1111/pce.13670

PubMed Abstract | CrossRef Full Text | Google Scholar

Feng, S. J., Liu, X. S., Tao, H., Tan, S. K., Chu, S. S., Oono, Y., et al. (2016). Variation of DNA methylation patterns associated with gene expression in rice (Oryza sativa) exposed to cadmium. Plant Cell Environ. 39, 2629–2649. doi: 10.1111/pce.12793

PubMed Abstract | CrossRef Full Text | Google Scholar

Finnegan, E. J., Dennis, E. S. (1993). Isolation and identification by sequence homology of a putative cytosine methyltransferase from Arabidopsis thaliana. Nucleic Acids Res. 21, 2383–2388. doi: 10.1093/nar/21.10.2383

PubMed Abstract | CrossRef Full Text | Google Scholar

Gallego-Bartolomé, J. (2020). DNA Methylation in plants: mechanisms and tools for targeted manipulation. New Phytol. 227, 38–44. doi: 10.1111/nph.16529

PubMed Abstract | CrossRef Full Text | Google Scholar

Garg, R., Kumari, R., Tiwari, S., Goyal, S. (2014). Genomic survey, gene expression analysis and structural modeling suggest diverse roles of DNA methyltransferases in legumes. PloS One 9, e88947. doi: 10.1371/journal.pone.0088947

PubMed Abstract | CrossRef Full Text | Google Scholar

Gianoglio, S., Moglia, A., Acquadro, A., Comino, C., Portis, E. (2017). The genome-wide identification and transcriptional levels of DNA methyltransferases and demethylases in globe artichoke. PloS One 12, e0181669. doi: 10.1371/journal.pone.0181669

PubMed Abstract | CrossRef Full Text | Google Scholar

Guo, N., Chi, G. Y., Shi, Y., Chen, X. (2019). Plant growth and cd accumulation characteristics in different planting modes of maize and amaranthus hypochondriacus. J. Appl. Ecol. 30, 3164–3174. doi: 10.13287/j.1001-9332.201909.038

CrossRef Full Text | Google Scholar

Gu, T., Ren, S., Wang, Y., Han, Y., Li, Y. (2016). Characterization of DNA methyltransferase and demethylase genes in Fragaria vesca. Mol. Genet. Genomics 291, 1333–1345. doi: 10.1007/s00438-016-1187-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Harrison, A., Parle-McDermott, A. (2011). DNA Methylation: a timeline of methods and applications. Front. Genet. 2. doi: 10.3389/fgene.2011.00074

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoagland, D. R., Arnon, D. I. (1950). The water culture method for growing plant without soil. Circ. Univ. Calif. Agric. Exp. Stn. 347, 32.

Google Scholar

Hu, B., Jin, J., Guo, A. Y., Zhang, H., Luo, J., Gao, G. (2015). GSDS 2.0: an upgraded gene feature visualization server. Bioinformatics. 31, 1296–1297. doi: 10.1093/bioinformatics/btu817

PubMed Abstract | CrossRef Full Text | Google Scholar

Jing, M., Zhang, H., Wei, M., Tang, Y., Xia, Y., Chen, Y., et al. (2022). Reactive oxygen species partly mediate DNA methylation in responses to different heavy metals in pokeweed. Front. Plant Sci. 13. doi: 10.3389/fpls.2022.845108

CrossRef Full Text | Google Scholar

Kankel, M. W., Ramsey, D. E., Stokes, T. L., Flowers, S. K., Haag, J. R., Jeddeloh, J. A., et al. (2003). Arabidopsis MET1 cytosine methyltransferase mutants. Genetics 163, 1109–1122. doi: 10.1093/genetics/163.3.1109

PubMed Abstract | CrossRef Full Text | Google Scholar

Kinoshita, T., Seki, M. (2014). Epigenetic memory for stress response and adaptation in plants. Plant Cell Physiol. 55, 1859–1863. doi: 10.3390/ijms21041480

PubMed Abstract | CrossRef Full Text | Google Scholar

Kong, L., Liu, Y., Wang, X., Chang, C (2020). Insight into the role of epigenetic processes in abiotic and biotic stress response in wheat and barley. Int. J. Mol. Sci. 21:1480. doi: 10.3390/ijms21041480

PubMed Abstract | CrossRef Full Text | Google Scholar

Kosugi, S., Hasebe, M., Tomita, M., Yanagawa, H. (2009). Systematic identification of cell cycle-dependent yeast nucleocytoplasmic shuttling proteins by prediction of composite motifs. Proc. Natl. Acad. Sci. U S A. 106, 10171–10176. doi: 10.1073/pnas.0900604106

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar, S. (2018). Epigenetic memory of stress responses in plants. J. Phytochem. Biochem. 2, e102.

Google Scholar

Kumar, R., Chauhan, P. K., Khurana, A. (2016). Identification and expression profiling of DNA methyltransferases during development and stress conditions in solanaceae. Funct. Integr. Genomics 16, 513–528. doi: 10.1007/s10142-016-0502-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar, S., Mohapatra, T. (2021). Dynamics of DNA methylation and its functions in plant growth and development. Front. Plant Sci. 12. doi: 10.3389/fpls.2021.596236

CrossRef Full Text | Google Scholar

Kumar, S., Seem, K., Kumar, S., Vinod, K. K., Chinnusamy, V., Mohapatra, T. (2022). Pup1 QTL regulates gene expression through epigenetic modification of DNA under phosphate starvation stress in rice. Front. Plant Sci. 13, 871890. doi: 10.15406/apar.2016.05.00179

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar, S., Stecher, G., Li, M., Knyaz, C., Tamura, K. (2018). MEGA X: Molecular evolutionary genetics analysis across computing platforms. Mol. Biol. Evol. 35, 1547–1549. doi: 10.1093/molbev/msy096

PubMed Abstract | CrossRef Full Text | Google Scholar

Lancíková, V., Tomka, M., Žiarovská, J., Gažo, J., Hricová, A. (2020). Morphological responses and gene expression of grain amaranth (Amaranthus spp.) growing under cd. Plants (Basel). 9, 572. doi: 10.3390/plants9050572

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, N., Guo, B., Li, H., Fu, Q., Feng, R., Ding, Y. (2016). Effects of double harvesting on heavy metal uptake by six forage species and the potential for phytoextraction in field. Pedosphere. 26, 717–724. doi: 10.1016/S1002-0160(15)60082-0

CrossRef Full Text | Google Scholar

Lindroth, A. M., Cao, X., Jackson, J. P., Zilberman, D., McCallum, C. M., Henikoff, S., et al. (2001). Requirement of CHROMOMETHYLASE3 for maintenance of CpXpG methylation. Science. 292, 2077–2080. doi: 10.1126/science.1059745

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, J., He, Z. (2020). Small DNA methylation, big player in plant abiotic stress responses and memory. Front. Plant Sci. 11. doi: 10.3389/fpls.2020.595603

CrossRef Full Text | Google Scholar

Liu, R., Lang, Z. (2020). The mechanism and function of active DNA demethylation in plants. J. Integr. Plant Biol. 62, 148–159. doi: 10.1111/jipb.12879

PubMed Abstract | CrossRef Full Text | Google Scholar

Moglia, A., Gianoglio, S., Acquadro, A., Valentino, D., Milani, A. M., Lanteri, S., et al. (2019). Identification of DNA methyltransferases and demethylases in Solanum melongena l., and their transcription dynamics during fruit development and after salt and drought stresses. PloS One 14, e0223581. doi: 10.1371/journal.pone.0223581

PubMed Abstract | CrossRef Full Text | Google Scholar

Njoku, K. L., Nwani, S. O. (2022). Phytoremediation of heavy metals contaminated soil samples obtained from mechanic workshop and dumpsite using Amaranthus spinosus. Sci. Afr. 17, e01278. doi: 10.1016/j.sciaf.2022.e01278

CrossRef Full Text | Google Scholar

Ortega-Galisteo, A. P., Morales-Ruiz, T., Ariza, R. R., Roldán-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

Parrilla-Doblas, J. T., Roldán-Arjona, T., Ariza, R. R., Córdoba-Cañero, D. (2019). Active DNA demethylation in plants. Int. J. Mol. Sci. 20, 4683. doi: 10.3390/ijms20194683

PubMed Abstract | CrossRef Full Text | Google Scholar

Pavlopoulou, A., Kossida, S. (2007). Plant cytosine-5 DNA methyltransferases: structure, function, and molecular evolution. Genomics. 90, 530–541. doi: 10.1016/j.ygeno.2007.06.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Penterman, J., Zilberman, D., Huh, J. H., Ballinger, T., Henikoff, S., 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

PubMed Abstract | CrossRef Full Text | Google Scholar

Pfaffl, M. W. (2001). A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 29, e45. doi: 10.1093/nar/29.9.e45

PubMed Abstract | CrossRef Full Text | Google Scholar

Pulvento, C., Sellami, M. H., Lavini, A. (2022). Yield and quality of Amaranthus hypochondriacus grain amaranth under drought and salinity at various phenological stages in southern Italy. J. Sci. Food Agric. 102, 5022–5033. doi: 10.1002/jsfa.11088

PubMed Abstract | CrossRef Full Text | Google Scholar

Schultz, J., Milpetz, F., Bork, P., Ponting, C. P. (1998). SMART, a simple modular architecture research tool: identification of signaling domains. Proc. Natl. Acad. Sci. U S A. 95, 5857–5864. doi: 10.1073/pnas.95.11.5857

PubMed Abstract | CrossRef Full Text | Google Scholar

Schumann, U., Lee, J., Kazan, K., Ayliffe, M., Wang, M. B. (2017). DNA-Demethylase regulated genes show methylation-independent spatiotemporal expression patterns. Front. Plant Sci. 8. doi: 10.3389/fpls.2017.01449

PubMed Abstract | CrossRef Full Text | Google Scholar

Shafiq, S., Ali, A., Sajjad, Y., Zeb, Q., Shahzad, M., Khan, A. R., et al. (2020). The interplay between toxic and essential metals for their uptake and translocation is likely governed by DNA methylation and histone deacetylation in maize. Int. J. Mol. Sci. 21, 6959. doi: 10.3390/ijms21186959

PubMed Abstract | CrossRef Full Text | Google Scholar

Shafiq, S., Zeb, Q., Ali, A., Sajjad, Y., Nazir, R., Widemann, E., et al. (2019). Lead, cadmium and zinc phytotoxicity alter DNA methylation levels to confer heavy metal tolerance in wheat. Int. J. Mol. Sci. 20, 4676. doi: 10.3390/ijms20194676

PubMed Abstract | CrossRef Full Text | Google Scholar

Sharma, R., Mohan Singh, R. K., Malik, G., Deveshwar, P., Tyagi, A. K., Kapoor, S., et al. (2009). Rice cytosine DNA methyltransferases – gene expression profiling during reproductive development and abiotic stress. FEBS J. 276, 6301–6311. doi: 10.1111/j.1742-4658.2009.07338.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Snel, B., Lehmann, G., Bork, P., Huynen, M. A. (2000). STRING: a web-server to retrieve and display the repeatedly occurring neighbourhood of a gene. Nucleic Acids Res. 28, 3442–3444. doi: 10.1093/nar/28.18.3442

PubMed Abstract | CrossRef Full Text | Google Scholar

Stroud, H., Do, T., Du, J., Zhong, X., Feng, S., Johnson, L., et al. (2014). Non-CG methylation patterns shape the epigenetic landscape in arabidopsis. Nat. Struct. Mol. Biol. 21, 64–72. doi: 10.1038/nsmb.2735

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, D. D., Sun, J. W., Huang, L. Y., Chen, N., Wang, Q. W. (2021). Effects of cadmium stress on DNA methylation in soybean. Biotechnol. Biotechnol. Equip. 35, 1696–1705. doi: 10.1080/13102818.2021.1980107

CrossRef Full Text | Google Scholar

Sun, M., Yang, Z., Liu, L., Duan, L. (2022). DNA Methylation in plant responses and adaption to abiotic stresses. Int. J. Mol. Sci. 23, 6910. doi: 10.3390/ijms23136910

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, P., Gao, C., Bian, X., Zhao, S., Zhao, C., Xia, H., et al. (2016). Genome-wide identification and comparative analysis of cytosine-5 DNA methyltransferase and demethylase families in wild and cultivated peanut. Front. Plant Sci. 7. doi: 10.3389/fpls.2016.00007

CrossRef Full Text | Google Scholar

Wang, K., Liu, Y., Song, Z., Wang, D., Qiu, W. (2019). Chelator complexes enhanced Amaranthus hypochondriacus l. phytoremediation efficiency in cd-contaminated soils. Chemosphere 237, 124480. doi: 10.1016/j.chemosphere.2019.124480

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, Z., Zhang, G., Teixeira da Silva, J. A., Li, M., Zhao, C., He, C., et al. (2021). Genome-wide identification and analysis of DNA methyltransferase and demethylase gene families in Dendrobium officinale reveal their potential functions in polysaccharide accumulation. BMC Plant Biol. 21, 21. doi: 10.1186/s12870-020-02811-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, X. (2006). And Jacobsen, s Genetic analyses of DNA methyltransferases in Arabidopsis thaliana. E.Cold Spring Harb. Symp. Quant. Biol. 71, 439–447. doi: 10.1101/sqb.2006.71.047

CrossRef Full Text | Google Scholar

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

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

Keywords: Amaranthus cruentus, methyltransferase, demethylase, heavy metals, gene expression

Citation: Lancíková V, Kačírová J and Hricová A (2023) Identification and gene expression analysis of cytosine-5 DNA methyltransferase and demethylase genes in Amaranthus cruentus L. under heavy metal stress. Front. Plant Sci. 13:1092067. doi: 10.3389/fpls.2022.1092067

Received: 07 November 2022; Accepted: 07 December 2022;
Published: 04 January 2023.

Edited by:

Muthusamy Ramakrishnan, Nanjing Forestry University, China

Reviewed by:

Yordan Muhovski, Walloon Agricultural Research Centre, Belgium
Magdalena Woloszynska, Wroclaw University of Environmental and Life Sciences, Poland

Copyright © 2023 Lancíková, Kačírová and Hricová. 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: Andrea Hricová, YW5kcmVhLmhyaWNvdmFAc2F2YmEuc2s=

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.