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Article

Identification and Functional Analysis of the Caffeic Acid O-Methyltransferase (COMT) Gene Family in Rice (Oryza sativa L.)

Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Department of Agriculture, Northeast Agricultural University, Harbin 150030, China
*
Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2022, 23(15), 8491; https://doi.org/10.3390/ijms23158491
Submission received: 14 July 2022 / Revised: 28 July 2022 / Accepted: 28 July 2022 / Published: 31 July 2022
(This article belongs to the Special Issue Crop Stress Biology and Molecular Breeding)

Abstract

:
Caffeic acid O-methyltransferase (COMT) is one of the core enzymes involved in lignin synthesis. However, there is no systematic study on the rice COMT gene family. We identified 33 COMT genes containing the methyltransferase-2 domain in the rice genome using bioinformatic methods and divided them into Group I (a and b) and Group II. Motifs, conserved domains, gene structure and SNPs density are related to the classification of OsCOMTs. The tandem phenomenon plays a key role in the expansion of OsCOMTs. The expression levels of fourteen and thirteen OsCOMTs increased or decreased under salt stress and drought stress, respectively. OsCOMTs showed higher expression levels in the stem. The lignin content of rice was measured in five stages; combined with the expression analysis of OsCOMTs and multiple sequence alignment, we found that OsCOMT8, OsCOMT9 and OsCOMT15 play a key role in the synthesis of lignin. Targeted miRNAs and gene ontology annotation revealed that OsCOMTs were involved in abiotic stress responses. Our study contributes to the analysis of the biological function of OsCOMTs, which may provide information for future rice breeding and editing of the rice genome.

1. Introduction

Rice (Oryza sativa L.) is an important food crop that requires a suitable environment for growth. Abiotic stress significantly impacts reproductive growth at different times, and salt stress, alkali stress, and drought stress can cause a drastic decrease in rice yield and quality [1,2,3]. Lignin is an important renewable resource in nature [4]. Previous studies have shown that the content of lignin can affect the lodging resistance and disease resistance of plants, but with further research, it has been found that lignin can also affect the abiotic resistance of plants [5].
Lignin is rich in aromatic rings, which is a characteristic of aromatic polymers. Lignin consists of a group of monomers associated with phenyl propane units; the main monomers are coumaryl alcohol, coniferyl alcohol, and sinapyl alcohol [6]. Based on monomer composition, lignin is divided into p-hydroxyphenyl lignin (H-lignin), guaiacyl lignin (G-lignin), and syringyl lignin (S-lignin) [7]. Different plants have different types of lignin, with dicotyledons mainly dominated by G- and S-lignin. Monocotyledons contain all types of lignin, with relatively less H-lignin content, whereas ferns and gymnosperms are mainly dominated by G-lignin [8,9]. Lignin improves plant stress resistance. The level of lignin content can affect the metabolic pathways [10], salt tolerance [11], and drought tolerance [12] of plants.
The biosynthesis of lignin is a process in which phenylalanine or tyrosine is gradually converted into lignin monomers under the catalysis of a series of enzymes, and then, it is finally polymerized into lignin. This pathway consists of three parts: the phenylpropane pathway, the specific pathway for lignin synthesis, and the glycosylation transport and polymerization of lignin monomers to lignin [13]. Caffeic acid O-methyltransferase (COMT) is a crucial methylase in the phenylpropane metabolic pathway. COMT has multiple functions, such as catalyzing the acceptance of the methyl group of S-adenosyl L-methionine (SAM or AdoMet) to form ferulic acid and S-adenosyl L-homocysteine (SAH or AdoHcy) [14,15] to regulate lignin synthesis. COMT also catalyzes the methylation of caffeic acid, 5-hydroxypinobanksyl aldehyde, and 5-hydroxypinobanksyl alcohol to generate ferulic acid, mustard aldehyde, and mustard alcohol, respectively, which are involved in the methylation reactions of mustard alcohol (S unit) and pinobanksyl alcohol (G unit) synthesis, and they play a decisive role in the composition of different types of monolignans [16]. COMT also catalyzes the production of melatonin from N-acetyl-5-hydroxytryptamine [17], and the level of melatonin content affects plant drought tolerance [18] and salt tolerance [19]. The first COMT gene was cloned in Ligusticum chuanxiong, and it was concluded that the COMT gene positively regulates the lignin content [20]. In maize, the inhibition of COMT gene expression decreased the total lignin content and S unit/G unit ratio [21]. Overexpression of the COMT gene increased drought tolerance in transgenic Triticum aestivum [22]. There are 92 COMT genes in Vaccinium, and it has been reported that VcCOMT40 and VcCOMT92 play important roles in lignin synthesis [23]. There are 42 COMT genes in Brassica napus, and they have been reported to inhibit BnCOMT1s expression to enhance lignin content under drought stress [24]. There are 55 COMT genes in Glycine max, and the expression levels of GmCOMTs under drought and salt stress have been analyzed [25]. In Solanum lycopersicum, drought stress and salt stress increased the expression of SiCOMT1 [26]. In rice, OsCOMT1 has been reported to affect melatonin content by affecting the 5-methylation of 5-hydroxyferulic acid (5-HFA) and 5-hydroxyconiferaldehyde (5-HCAld) [27]. OsCAD2 and OsCOMT15 are involved in lignin monomer synthesis [28]. OsCOMT3 expression is elevated during nematode infestation in O. sativa [29]. Therefore, COMT genes are extremely important for plant resistance to abiotic stress.
In this study, we identified 33 COMT genes in O. sativa using bioinformatic tools. We analyzed their chromosome distribution, phylogeny, gene synteny, gene structure, motif composition, cis-acting elements, Go enrichment, tissue expression specificity, expression patterns under abiotic stress, lignin synthesis gene and target miRNAs. Our study focused on the structure and function of O. sativa COMT genes. There are relatively few studies on the COMT gene in O. sativa. Therefore, our study provides new ideas for future research, especially the molecular mechanism under abiotic stress in rice and the mechanism of lignin synthesis.

2. Results

2.1. Physicochemical Properties, Chromosomal Distribution and Synteny Analysis of OsCOMTs

We identified 33 COMT genes from the rice genome. The amino acid length of OsCOMTs ranged from 128 (OsCOMT33) to 604 (OsCOMT21), and the molecular weight (MW) ranged from 14.25 (OsCOMT33) to 66.48 (OsCOMT21) kDa. OsCOMTs predicted PI (isoelectric points) varied from 5.09 (OsCOMT23) to 6.46 (OsCOMT20). O. sativa COMT genes were localized in the cytoplasmic (21 OsCOMTs), chloroplast (nine OsCOMTs), and mitochondrial (two OsCOMTs) (Table S1). Based on their order on the O. sativa chromosome, the COMT genes were named OsCOMT1-OsCOMT33. The distribution of COMT genes on the chromosomes was uneven and irregular but was mainly concentrated on chromosome 11 (Chr11) and chromosome 12 (Chr12) (Figure 1). Except for chromosome 3 (Chr3) and chromosome 10 (Chr10), all the chromosomes had at least one COMT gene. Both Chr11 and Chr12 contained the most COMT genes (seven genes), whereas Chr1 and Chr2 contained only one gene.
We analyze the duplication types of OsCOMTs. We found five tandem duplication (TD) gene pairs (Figure 1) (OsCOMT5/OsCOMT6, OsCOMT8/OsCOMT9, OsCOMT23/OsCOMT24, OsCOMT24/OsCOMT25, and OsCOMT30/OsCOMT31) on four chromosomes (Chr4, Chr5, Chr11, and Chr12). One whole-genome duplication (WGD) event containing two OsCOMTs (OsCOMT1/OsCOMT9) was identified. The OsCOMTs with WGD are located on Chr1 and 5 (Figure 1). The results showed the expansion of OsCOMTs was mainly achieved through tandem duplication events. The evolutionary selection pressure in OsCOMTs differentiation and the Ka/Ks ratio was <1 (Table S2). The results showed that OsCOMTs were subjected to purification during the evolutionary process.
To investigate the homology of COMT family members among monocots, we produced a collinear map of COMT family genes for six plants, including five monocots (Oryza sativa, Brachypodium distachyon, Zea mays, Glycine max and Hordeum vulgare) and one dicot (Arabidopsis thaliana). Thirteen colinear gene pairs were identified (Figure 2): Zm00001eb190920:KQK01446, Zm00001eb172420:KQJ95323, Zm00001eb292840:KQK05395, Zm00001eb353110:KQK05395, Zm00001eb292840:KQK05393, Zm00001eb190920:OsCOMT2, Zm00001eb172420:OsCOMT15, Zm00001eb292840:OsCOMT9, Zm00001eb306700:OsCOMT13, Zm00001eb353110:OsCOMT9, KRH20371:OsCOMT9, OsCOMT2:HORVU-MOREX-r36-HG0631640 and OsCOMT9:HORVU-MOREX-r3-1HG0077500. Continuous colinear gene pairs exist in Oryza sativa, Brachypodium distachyon, Zea mays, Glycine max, and Hordeum vulgare. Before species differentiation, these genes may have been formed from the above-mentioned homologous genes. OsCOMT9 was found in all four colinear gene pairs. This suggests that OsCOMT9 plays an important role in the expansion and evolution of the COMT family.

2.2. Phylogenetic Analysis, Motif, Conserved Domain and Gene Structure of COMT Genes in O. sativa

We constructed a maximum likelihood (ML) phylogenetic tree using 109 protein sequences of COMT genes from six plant species including five monocots: Oryza sativa, Brachypodium distachyon, Zea mays, Glycine max, and Hordeum vulgare and a dicot of Arabidopsis thaliana. All the sequences clustered into two groups (Figure 3 and Figure 4). There were 24 and 9 COMT proteins in Groups I and II, respectively. Comparing the five types of monocots, the COMT proteins in the dicot of Arabidopsis thaliana clustered in Group II. Although the COMT proteins of the five monocots clustered in different subgroups, the degree of COMT protein clustering was higher in different species within the same subgroup. The results showed that COMT genes were highly divergent between monocot and dicot, while COMT genes were conserved among monocots.
We analyzed the differences in the protein sequences of the COMT genes using the MEME program. We identified 12 motifs associated with gene classification in the protein sequences of the COMT genes (Figure S1). These motifs are associated with gene classification. All OsCOMTs had motif 8 except OsCOMT33. The OsCOMTs in Group II all contained motif 12, while the OsCOMTs in Groups Ia and Ib contained motif 10, except for OsCOMT32. In the conserved domain analysis, there was a methyltransf_2 domain (including a SAM/SAH binding pocket and a substrate-binding site) in all OsCOMTs (Figure 5). All OsCOMTs also contained an N-terminal domain named dimerization except for OsCOMT4 and OsCOMT33 [30]. The SAM/SAH binding region was highly conserved, whereas substrate-binding sites were specific for different groups of proteins.
By demonstrating the gene structure of O. sativa COMT through GSDS2.0 [31], we found that its exons are distributed differently in Groups I and II (Figure 5). In Group Ia, all OsCOMTs contained two exons. All OsCOMTs in Group Ib contained one or two exons. In Group II, all OsCOMTs contained two or more exons. OsCOMT11 and OsCOMT33 do not contain introns. Four OsCOMTs (OsCOMT10, OsCOMT11, OsCOMT33, and OsCOMT32) contained one exon, and two OsCOMTs (OsCOMT3 and OsCOMT6) contained three exons, four OsCOMTs (OsCOMT2, OsCOMT4, OsCOMT5, and OsCOMT29) contained four exons, and the other OsCOMTs contained two exons. These results indicated that O. sativa COMT genes in different phylogenetic branches may have different biological functions.

2.3. Cis-Acting Elements, Sequence Variation and Gene Ontology Annotation of OsCOMTs

Cis-acting elements in plants can bind to multiple transcription factors that influence gene expression. To investigate the function of the OsCOMTs, we obtained and submitted a 1500 bp gene sequence upstream of OsCOMTs and classified them into three types of cis-acting elements according to their functions: Abiotic stress, Hormone response and Plant growth and regulation (Figure 6A–C). In terms of the number of cis-acting elements, OsCOMTs are widely involved in plant responses to abiotic stresses, the hormonal regulation of plants and plant growth and development. In terms of abiotic stress, MBS (drought-inducible) [32] were the most cis-acting. This implies that OsCOMTs may be involved in drought stress response. In addition, there are anaerobic induction elements (ARE) [33] and cold induction elements (LTR) [34]. ABRE (abscisic acid responsive) [35] were the most abundant elements in hormone regulation, which were followed by TGACG-motif (MeJA responsive) [36]. G-box (light response) elements [37] were the most abundant elements in plant growth and regulation. The results show that OsCOMTs can be widely involved in various regulation in plants, but there is no significant difference in the distribution of elements in Group I and Group II.
According to the resequencing results of 295 japonica rice varieties by our group [38], we found 236 SNPs in OsCOMTs. On average, there are 7.18 SNPs per OsCOMT. The distribution of its SNPs are related to gene grouping. The SNP densities in Group Ia, Group Ib and Group II were 0.67, 9.73 and 14.67. In Group Ia, only OsCOMT13, OsCOMT16 and OsCOMT24 have SNPs. There are no SNPs in OsCOMT8, OsCOMT9 and OsCOMT10 in Group Ib. In Group II, only OsCOMT25 has no SNP (Table S5). This indicates that the OsCOMTs in Group Ia are highly conserved among different rice genotypes. This difference in SNP density may be related to the function of OsCOMTs.
To further investigate the functions of OsCOMTs, Go enrichment was performed on all OsCOMTs. Their functions include S-adenosylmethionine-dependent methyltransferase activity (31 OsCOMTs), protein dimerization activity (29 OsCOMTs), O-methyltransferase activity (33 OsCOMTs), methylation (33 OsCOMTs), melatonin biosynthetic process (2 OsCOMTs), aromatic compound biosynthetic process (31 OsCOMTs) and acetylserotonin O-methyltransferase activity (2 OsCOMTs) (Figure 5D).

2.4. Expression Profiling of OsCOMTs

The current research on the involvement of COMT genes in the regulation of plant stress resistance focuses on salt stress and drought stress, so we studied the expression of OsCOMTs under these two stresses by qRT-PCR. Under salt stress, the expression levels of seven OsCOMTs were decreased and increased, respectively (Figure 6A). OsCOMT20 and OsCOMT31 were strongly induced by salt stress. Under drought stress, the expression of eight OsCOMTs increased and the expression of six OsCOMTs decreased (Figure 6B). OsCOMT2, OsCOMT5, OsCOMT16 and OsCOMT21 were strongly induced by drought stress. The six OsCOMTs were induced to express under both stresses, and their expression patterns were different. The expression levels of OsCOMT7 and OsCOMT20 were increased under salt stress but decreased under salt stress.
To investigate the tissue expression specificity of COMT genes, we studied the expression level of OsCOMTs in leaf, emerging_inflorescence, early_inflorescence, pistil, 5_days_seed, 10_days_seed, embryo_25_days_after_pollination, 25_Days_endosperm, endosperm_25_days_after_pollination, stem, root, and anthers (Figure S2). In total, 12 OsCOMTs were highly expressed in leaf, 11 OsCOMTs were highly expressed in the stem, 6 OsCOMTs were highly expressed in emerging_inflorescence, and 4 OsCOMTs were highly expressed in roots. OsCOMTs induced by salt and drought stress were detected in at least one tissue, so we further verified by qRT-PCR(Figure 6C). The results showed that the expression levels of OsCOMTs were higher in stems, leaves and seeds, especially stems. The expression level was lower in roots; only OsCOMT14 and OsCOMT28 were expressed at higher levels in roots. This indicates that in the growth and development of rice, OsCOMTs play their roles in leaves, seeds and stems.

2.5. Spatial Expression of OsCOMTs in Stem

We first analyzed the expression patterns of OsCOMTs in five stages of rice by qRT-PCR. We simultaneously measured the lignin content in rice stems in five stages (Table S6). The lignin content increased gradually from S1 to S5, slowly from S1 to S2 and S3 to S4, increased more from S2 to S3, and reached a peak at S5. The expression of OsCOMTs were higher in S5 (Figure 7A). The expression of OsCOMT8, OsCOMT9 and OsCOMT15 was similar to the change of lignin content, but the expression of OsCOMT9 increased more from S2 to S3 (Figure 7B). Based on the multiple sequence alignment with known COMT genes (Figure 8), we found that these three COMT genes have the same substrate binding site to catalyze 5-OH coniferalde-hyde and caffeic acid, suggesting that OsCOMT8, OsCOMT9 and OsCOMT15 play an important role in lignin synthesis [39].

2.6. Network of Protein Interaction and miRNAs

In total, 31 OsCOMTs were predicted to have potential targeting relationships with 681 miRNAs from 200 families (Table S4). miR5071, miR2927, miR1864 and miR5809 target 14, 13, 10, and 9 OsCOMTs, respectively. This suggests that these four miRNAs play important roles for OsCOMTs (Figure 9).

3. Discussion

In our study, we identified 33 O. sativa COMT genes from the whole genome of O. sativa and named them OsCOMT1OsCOMT33 according to their positions on the chromosome. Based on gene structure, conserved motifs, and phylogenetic analysis, we divided the COMT genes into two groups and named them Group I (a and b) and Group II. This is consistent with the evolutionary analyses of blueberries [23] and soybeans [25]. There was a higher similarity of conserved motifs and gene structures in the same branch. In Group Ia, OsCOMTs contained two exons, OsCOMTs in Group Ib contained one or two exons, and OsCOMTs in Group II contained two or more exons. Compared to Group I, the OsCOMTs in Group II contained more instances of motif 12 (VDRMLR). Some residues of motif 2 (DVGGG), motif 9 (DLPHV), and motif 5 (GDMF) are the SAM/SAH binding sites [40]. We also constructed a phylogenetic tree consisting the sequence of five monocots and one dicot and discovered that the COMT genes of Arabidopsis were distributed in Group II. This suggests that COMT genes are highly divergent between monocot and dicot and that the evolution of COMT genes in monocots is stable.
Gene duplication has played a key role in the evolution of plant gene families. Five tandem gene pairs and one WGD gene pair were identified using MCScanX in the rice genome. Thus, tandem phenomena play a key role in the evolution of the rice COMT genes. The rice COMT duplication gene pairs were concentrated on four chromosomes. This phenomenon may be due to the loss of some copies of COMT on the 12 rice chromosomes due to environmental factors, some factors received during the evolution of rice, or the presence of some redundant genes with incomplete structural domains. Ka/Ks < 1 in all duplicated gene pairs, suggesting that rice COMT genes underwent purifying selection during evolution. We also investigated the homology of the COMT genes in monocots and identified 13 colinear gene pairs. We found that the COMT gene was relatively conserved during the evolution of monocots. OsCOMT9 was found in several homologous, WGD, and tandem gene pairs. These results indicate that OsCOMT9 is a key gene involved in the evolution and expansion of the rice COMT gene family. Cis-acting elements can bind to transcription factors to regulate genes. Therefore, studying the cis-acting elements of genes facilitates gene function analysis. To investigate the function of OsCOMTs, we analyzed their cis-acting elements. We classify the cis-acting elements of OsCOMTs into three types. Twenty-three OsCOMTs contain MBS (drought-inducible) cis-acting elements. Previous studies have shown that the O. sativa COMT gene regulates lignin synthesis [28] and that lignin content affects drought resistance in O. sativa. Therefore, we suggest that OsCOMTs are involved in drought regulation by regulating lignin synthesis. GO enrichment indicated that all OsCOMTs were involved in methylation and O-methyltransferase activity. Methylation and O-methyltransferase activity play important roles in the conversion of phenylalanine to lignin [41]. In addition, 94% of OsCOMTs are involved in the aromatic compound biosynthetic process and S-adenosylmethionine-dependent methyltransferase activity. The aromatic properties of lignin, which determine the hydrophobicity of the cell wall, are conducive to reducing water loss and thus improving drought tolerance in plants under drought stress [5]. The content of S-adenosylmethionine synthetase in plants can be induced by salt stress, high-temperature stress and drought stress [42,43]. This proves that OsCOMTs play an important role in lignin synthesis and resistance to abiotic stress.
Previous studies have shown that the COMT gene family can be involved in plant abiotic stress responses [25]. We identified fourteen OsCOMTs induced by salt stress and thirteen OsCOMTs induced by drought stress. The expression of OsCOMTs increased or decreased at different time points under abiotic stress, suggesting that COMT genes can be induced by abiotic stress. Some OsCOMTs show different expression patterns under different adversities. The expression of OsCOMT7 and OsCOMT20 increased under salt stress and decreased under drought stress. Furthermore, we found that the induced OsCOMTs were more conserved at the evolutionary level. The induced OsCOMTs had an average of 5.95 SNPs, while the 33 OsCOMTs had an average of 7.18 SNPs. In conclusion, these results suggest that OsCOMTs are involved in the abiotic stress response network. We also found that OsCOMTs had significant tissue-specific expression, with OsCOMTs showing high expression in stems and very low expression in roots and even some OsCOMTs were not expressed. By measuring the lignin content at different growth stages, we found that the lignin content in the rice stem increased gradually. The reason for this phenomenon may be related to lignification. During the development of rice, xylem and phloem undergo lignification, which plays a role in guiding and mechanically supporting the development of rice. The lignification process is the precipitation process of lignin in plants. During the lignification process of plants, lignin penetrates into the cell wall and fills the cell wall framework, thereby enhancing the stiffness of the cell wall and having a significant impact on the mechanical strength of the stem [44]. Combined with multiple sequence alignment and expression analysis of OsCOMTs in five developmental stages, OsCOMT8, OsCOMT9 and OsCOMT15 may play key roles in stem lignin synthesis.
We also analyzed the targeted miRNAs of OsCOMTs. miR5071, miR2927, miR1864 and miR5809 target multiple OsCOMTs. miR5071 targets OsMLA10 [45] and is highly expressed in endosperm. miR2927 plays an important role in drought resistance [46]. miR1864 is down-regulated when rice is under arsenic stress [47]. miR5809 is involved in heat stress response [48]. These results indicate that COMT genes may be widely involved in various abiotic stress responses. Our findings contribute to the study of OsCOMTs. Future studies need to explore the signaling systems and downstream pathways of COMT genes under abiotic stress.

4. Materials and Methods

4.1. Identification of COMT Family Members in O. sativa and in Other Plants

The genome database of O. sativa was downloaded from EnsemblPlants (https://plants.ensembl.org/index.html accessed on 10 April 2022). To identify rice COMT genes, one signature sequence of Arabidopsis thaliana (AT5G54160) and 36 COMT sequences of Populus tomentosa were used as a set of queries in a BLASTP. All candidate sequences were scanned with a domain (PF00891) from Pfam. Then, each sequence was confirmed by the SEQUENCE SEARCH in the Pfam website (https://pfam.xfam.org accessed on 10 April 2022), the Conserved Domain Database (CDD) (http://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi accessed on 10 April 2022) and the SMART web server (http://smart.embl.de/ accessed on 10 April 2022). The isoelectric points and molecular weights of OsCOMTs proteins were predicted with ExPASy (http://web.expasy.org/protparam/ accessed on 10 April 2022). We also identified COMT genes in Arabidopsis thaliana, Brachypodium distachyon, Zea mays, Glycine max, and Hordeum vulgare.

4.2. Gene Structure, Conserved Motifs, and Phylogenetic Analysis

We identified 33 candidate rice COMT genes using BLASTP and a protein domain (PF00891). The MEME program (http://meme-suite.org/meme/ accessed on 15 April 2022) was used to analyze the conserved motifs of OsCOMT protein sequences, while the additional conserved motifs were predicted by SEQUENCE SEARCH on the Pfam website (http://pfam.Xfam.ori/ accessed on 15 April 2022) and visualized using the Gene Structure View of TBtools (v.1.098745) [49]. A phylogenetic tree of the COMT protein sequences of Oryza sativa, Brachypodium distachyon, Zea mays, Glycine max, and Hordeum vulgare was constructed using the ML method in MEGA(v.7.0) [50] and embellished by iTOL(v.3.0) [51].

4.3. Gene Duplication Analysis

Colinear blocks between genes of different species were analyzed using MCScanX [52]. To analyze the extent of evolutionary selection pressure in OsCOMTs differentiation, the ratio of Ka (nonsynonymous) to Ks (synonymous) was calculated for the tandem and segmental gene pairs using TBtools(v.1.098745) [49].

4.4. Cis-Acting Elements Analysis and miRNAs

The 1.5 kb sequence upstream of OsCOMTs was obtained from EnsemblPlants (https://plants.ensembl.org/index.html accessed on 20 April 2022), and cis-acting elements were analyzed using PlantCARE(http://bioinformatics.psb.ugent.be/webtools/plantcare/html accessed on 20 April 2022) [53]. We used rice miRNA sequences obtained from the miRbase database (https://www.mirbase.org/ accessed on 20 April 2022) to search for candidate targets in the PSRNATTARGE and embellished with Cytoscape [54].

4.5. Expression Analysis of COMT Genes in O. sativa

The data for OsCOMTs in different tissue were downloaded from the Sequence Read Archive under the accession number SPR008821. The heatmaps were obtained using TBtools [49].

4.6. Plant Growth Conditions and Treatments

Xiaobaijingzi (XBJZ) is a drought-tolerant O. sativa. The seeds of XBJZ (from the Northeast Agricultural University Rice Research Group, provided by professor Hongliang Zheng) were sterilized with 10% sodium hypochlorite for 30 min, then sown on the medium and incubated. The seeds developed into seedlings two weeks later and were transplanted into Hoagland’s nutrient solution. At the three-leaf stage [55], the rice was exposed to abiotic stress. We added 20% PEG-6000 to the nutrient solution to simulate drought stress, and we added 200 mmol/L NaCl to the nutrient solution to simulate salt stress. The stems were collected after 6 h, 12 h, and 24 h of treatment and then stored at −80 °C. We also collected roots, stems, leaves and seeds under normal conditions and stems at seedling, tillering, booting, heading and grain filling stages of rice. Each experiment was repeated 3 times.

4.7. Expression Analysis of OsCOMTs in Rice by qRT-PCR

Primer design (Table S3) was performed using Primer Premier 5.0, and primer specificity was verified using the BLAST program in NCBI (https://ncbi.nlm.nih.gov accessed on 20 April 2022). Total RNA was extracted using an Ultra-Pure Total RNA Extraction Kit (Hangzhou Sumgen Biotech Co., Ltd., Hangzhou, China) and stored at −80 °C. First-strand cDNA (10 µL) was synthesized according to the instructions for the PrimeScript™ RT Master Mix (Takara Biomedical Technology (Beijing) Co., Ltd., Beijing, China). The internal reference gene was OsSRFP1. qRT-PCR was performed in the LightCycler 96 system software using SYBR green (Vazyme Biotech Co., Ltd., Nanjing, China) and fluorescent dyes. Finally, the expression of OsCOMTs was calculated using the 2-∆∆CT method [56].

4.8. Lignin Content Analysis

Determination of Klason lignin according to the previous method [24].

5. Conclusions

In this study, we identified 33 rice COMT genes. Different groups of OsCOMTs have different motifs, gene structures and SNPs densities. COMT genes are highly differentiated between monocot and dicot, and the tandem duplication phenomenon is the main force for the expansion of rice COMT gene family. We analyzed the cis-acting elements of OsCOMTs and divided them into three types, indicating that OsCOMTs can respond to abiotic stresses and participate in various regulation of rice. Twenty OsCOMTs were differentially expressed under different types of abiotic stresses. OsCOMT8, OsCOMT9, and OsCOMT15 play critical roles in lignin synthesis by measurement of lignin and qRT-PCR. Through miRNA analysis, OsCOMTs can respond to abiotic stress. Our findings provide a solid foundation for understanding the role of OsCOMTs as well as their expression patterns and mechanisms regulating stress resistance.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms23158491/s1.

Author Contributions

Conceptualization, S.L.; methodology, S.L. and H.L.; software, L.Y. and J.W.; validation, H.Z.; formal analysis, S.L.; investigation, D.Z. and H.Z.; resources, S.X. and D.Q.; data curation, S.L.; writing—original draft preparation, S.L.; writing—review and editing, D.Z. and H.Z.; visualization, D.Z. and W.X.; supervision, D.Z.; project administration, D.Z. and H.Z.; funding acquisition, D.Z. and H.Z. All authors have read and agreed to the published version of the manuscript.

Funding

Heilongjiang Provincial Natural Science Foundation Joint Guidance Project (LH2019C035); National Natural Science Foundation of China (U20A2025); Northeast Agricultural University “Academic Backbone” Fund-funded Project (20XG24); Heilongjiang Province “Hundred Thousands” Major Science and Technology Project of Engineering Biological Breeding (2020ZX16B01).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets generated for this study can be found in SRA, the accession number: SPR008821.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Todaka, D.; Shinozaki, K.; Yamaguchi-Shinozaki, K. Recent advances in the dissection of drought-stress regulatory networks and strategies for development of drought-tolerant transgenic rice plants. Front. Plant Sci. 2015, 6, 84. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Ganie, S.A.; Molla, K.A.; Henry, R.J.; Bhat, K.V.; Mondal, T.K. Advances in understanding salt tolerance in rice. Theor. Appl. Genet. 2019, 132, 851–870. [Google Scholar] [CrossRef] [PubMed]
  3. Li, X.; Zheng, H.; Wu, W.; Liu, H.; Wang, J.; Jia, Y.; Li, J.; Yang, L.; Lei, L.; Zou, D.; et al. QTL Mapping and Candidate Gene Analysis for Alkali Tolerance in Japonica Rice at the bud Stage Based on Linkage Mapping and Genome-Wide Association Study. Rice 2020, 13, 1–11. [Google Scholar] [CrossRef] [PubMed]
  4. Luis Espinoza-Acosta, J.; Torres-Chavez, P.I.; Olmedo-Martinez, J.L.; Vega-Rios, A.; Flores-Gallardo, S.; Armando Zaragoza-Contreras, E. Lignin in storage and renewable energy applications: A review. J. Energy Chem. 2018, 27, 1422–1438. [Google Scholar] [CrossRef]
  5. Cabane, M.; Afif, D.; Hawkins, S. Lignins and Abiotic Stresses. In Lignins: Biosynthesis, Biodegradation and Bioengineering; Jouann, L., Lapierre, C., Eds.; Academic Press: Cambridge, MA, USA, 2012; Volume 61, pp. 219–262. [Google Scholar]
  6. Ralph, J.; Lapierre, C.; Boerjan, W. Lignin structure and its engineering. Curr. Opin. Biotechnol. 2019, 56, 240–249. [Google Scholar] [CrossRef]
  7. Cai, Y.; Zhang, K.; Kim, H.; Hou, G.; Zhang, X.; Yang, H.; Feng, H.; Miller, L.; Ralph, J.; Liu, C.-J. Enhancing digestibility and ethanol yield of Populus wood via expression of an engineered monolignol 4-O-methyltransferase. Nat. Commun. 2016, 7, 11989. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Guo, Y.; Xu, H.; Zhao, Y.; Wu, H.; Lin, J. Plant lignification and its regulation. Sci. Sin. Vitae 2020, 50, 111–122. [Google Scholar]
  9. Guo, G.; Bai, F.; Liu, W.; Bi, C. Advances in Research of the Regulation of Transcription Factors of Lignin Biosynthesis. Sci. Agric. Sin. 2015, 48, 1277–1287. [Google Scholar]
  10. Dauwe, R.; Morreel, K.; Goeminne, G.; Gielen, B.; Rohde, A.; Van Beeumen, J.; Ralph, J.; Boudet, A.-M.; Kopka, J.; Rochange, S.F.; et al. Molecular phenotyping of lignin-modified tobacco reveals associated changes in cell-wall metabolism, primary metabolism, stress metabolism and photorespiration. Plant J. 2007, 52, 263–285. [Google Scholar] [CrossRef]
  11. Chun, H.J.; Baek, D.; Cho, H.M.; Lee, S.H.; Jin, B.J.; Yun, D.-J.; Hong, Y.-S.; Kim, M.C. Lignin biosynthesis genes play critical roles in the adaptation of Arabidopsis plants to high-salt stress. Plant Signal. Behav. 2019, 14, 1625697. [Google Scholar] [CrossRef] [PubMed]
  12. Zhao, D.; Luan, Y.; Shi, W.; Zhang, X.; Meng, J.; Tao, J. A Paeonia ostii caffeoyl-CoA O-methyltransferase confers drought stress tolerance by promoting lignin synthesis and ROS scavenging. Plant Sci. 2021, 303, 110765. [Google Scholar] [CrossRef] [PubMed]
  13. Whetten, R.; Sederoff, R. Lignin Biosynthesis. Plant Cell 1995, 7, 1001–1013. [Google Scholar] [CrossRef]
  14. Schubert, H.L.; Blumenthal, R.M.; Cheng, X.D. Many paths to methyltransfer: A chronicle of convergence. Trends Biochem. Sci. 2003, 28, 329–335. [Google Scholar] [CrossRef] [Green Version]
  15. Kozbial, P.Z.; Mushegian, A.R. Natural history of S-adenosylmethionine-binding proteins. BMC Struct. Biol. 2005, 5, 1–26. [Google Scholar] [CrossRef] [Green Version]
  16. Vanholme, R.; De Meester, B.; Ralph, J.; Boerjan, W. Lignin biosynthesis and its integration into metabolism. Curr. Opin. Biotechnol. 2019, 56, 230–239. [Google Scholar] [CrossRef]
  17. Byeon, Y.; Lee, H.Y.; Lee, K.; Back, K. Caffeic acid O-methyltransferase is involved in the synthesis of melatonin by methylating N-acetylserotonin in Arabidopsis. J. Pineal Res. 2014, 57, 219–227. [Google Scholar] [CrossRef]
  18. Li, R.; Yang, R.; Zheng, W.; Wu, L.; Zhang, C.; Zhang, H. Melatonin Promotes SGT1-Involved Signals to Ameliorate Drought Stress Adaption in Rice. Int. J. Mol. Sci. 2022, 23, 599. [Google Scholar] [CrossRef] [PubMed]
  19. Lee, H.Y.; Byeon, Y.; Lee, K.; Lee, H.-J.; Back, K. Cloning of Arabidopsis serotonin N-acetyltransferase and its role with caffeic acid O-methyltransferase in the biosynthesis of melatonin in vitro despite their different subcellular localizations. J. Pineal Res. 2014, 57, 418–426. [Google Scholar] [CrossRef]
  20. Li, J.-J.; Zhang, G.; Yu, J.-H.; Li, Y.-Y.; Huang, X.-H.; Wang, W.-J.; Tan, R.; Zhou, J.-Y.; Liao, H. Molecular cloning and characterization of caffeic acid 3-O-methyltransferase from the rhizome of Ligusticum chuanxiong. Biotechnol. Lett. 2015, 37, 2295–2302. [Google Scholar] [CrossRef]
  21. Fornale, S.; Rencoret, J.; Garcia-Calvo, L.; Encina, A.; Rigau, J.; Gutierrez, A.; Carlos del Rio, J.; Caparros-Ruiz, D. Changes in Cell Wall Polymers and Degradability in Maize Mutants Lacking 3′-and 5′-O-Methyltransferases Involved in Lignin Biosynthesis. Plant Cell Physiol. 2017, 58, 240–255. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Yang, W.-J.; Du, Y.-T.; Zhou, Y.-B.; Chen, J.; Xu, Z.-S.; Ma, Y.-Z.; Chen, M.; Min, D.-H. Overexpression of TaCOMT Improves Melatonin Production and Enhances Drought Tolerance in Transgenic Arabidopsis. Int. J. Mol. Sci. 2019, 20, 652. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Liu, Y.; Wang, Y.; Pei, J.; Li, Y.; Sun, H. Genome-wide identification and characterization of COMT gene family during the development of blueberry fruit. BMC Plant Biol. 2021, 21, 1–16. [Google Scholar] [CrossRef] [PubMed]
  24. Li, W.; Lu, J.; Lu, K.; Yuan, J.; Huang, J.; Du, H.; Li, J. Cloning and Phylogenetic Analysis of Brassica napus L. Caffeic Acid O-Methyltransferase 1 Gene Family and Its Expression Pattern under Drought Stress. PLoS ONE 2016, 11, e0165975. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Zhang, X.; Chen, B.; Wang, L.; Ali, S.; Guo, Y.; Liu, J.; Wang, J.; Xie, L.; Zhang, Q. Genome-Wide Identification and Characterization of Caffeic Acid O-Methyltransferase Gene Family in Soybean. Plants 2021, 10, 2816. [Google Scholar] [CrossRef] [PubMed]
  26. Sun, S.; Han, Y.; Yan, Y.; Gong, B.; Shi, Q. Overexpression of caffeic acid-O-methyltransferase gene (COMT1) regulates physiological response of tomato seedlings to drought stress. Plant Physiol. J. 2019, 55, 1109–1122. [Google Scholar]
  27. Koshiba, T.; Hirose, N.; Mukai, M.; Yamamura, M.; Hattori, T.; Suzuki, S.; Sakamoto, M.; Umezawa, T. Characterization of 5-Hydroxyconiferaldehyde O-Methyltransferase in Oryza sativa. Plant Biotechnol. 2013, 30, 157–167. [Google Scholar] [CrossRef] [Green Version]
  28. Hirano, K.; Aya, K.; Kondo, M.; Okuno, A.; Morinaka, Y.; Matsuoka, M. OsCAD2 is the major CAD gene responsible for monolignol biosynthesis in rice culm. Plant Cell Rep. 2012, 31, 91–101. [Google Scholar] [CrossRef] [PubMed]
  29. Petitot, A.-S.; Kyndt, T.; Haidar, R.; Dereeper, A.; Collin, M.; Engler, J.D.A.; Gheysen, G.; Fernandez, D. Transcriptomic and histological responses of African rice (Oryza glaberrima) to Meloidogyne graminicola provide new insights into root-knot nematode resistance in monocots. Ann. Bot. 2017, 119, 885–899. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Zubieta, C.; Kota, P.; Ferrer, J.-L.; Dixon, R.A.; Noel, J.P. Structural basis for the modulation of lignin monomer methylation by caffeic acid/5-hydroxyferulic acid 3/5-O-methyltransferase. Plant Cell 2002, 14, 1265–1277. [Google Scholar] [CrossRef] [Green Version]
  31. Hu, B.; Jin, J.; Guo, A.-Y.; Zhang, H.; Luo, J.; Gao, G. GSDS 2.0: An upgraded gene feature visualization server. Bioinformatics 2015, 31, 1296–1297. [Google Scholar] [CrossRef] [Green Version]
  32. Wang, L.; Yu, C.; Chen, C.; He, C.; Zhu, Y.; Huang, W. Identification of rice Di19 family reveals OsDi19-4 involved in drought resistance. Plant Cell Rep. 2014, 33, 2047–2062. [Google Scholar] [CrossRef]
  33. Radjendirane, V.; Jaiswal, A.K. Antioxidant response element-mediated 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) induction of human NAD(P)H:quinone oxidoreductase 1 gene expression. Biochem. Pharmacol. 1999, 58, 1649–1655. [Google Scholar] [CrossRef]
  34. Kumar, M.; Gho, Y.-S.; Jung, K.-H.; Kim, S.-R. Genome-Wide Identification and Analysis of Genes, Conserved between japonica and indica Rice Cultivars, that Respond to Low-Temperature Stress at the Vegetative Growth Stage. Front. Plant Sci. 2017, 8, 1120. [Google Scholar] [CrossRef] [Green Version]
  35. Fujita, Y.; Yoshida, T.; Yamaguchi-Shinozaki, K. Pivotal role of the AREB/ABF-SnRK2 pathway in ABRE-mediated transcription in response to osmotic stress in plants. Physiol. Plant. 2013, 147, 15–27. [Google Scholar] [CrossRef]
  36. Wang, Y.; Salasini, B.C.; Khan, M.; Devi, B.; Bush, M.; Subramaniam, R.; Hepworth, S.R. Clade I TGACG-Motif Binding Basic Leucine Zipper Transcription Factors Mediate BLADE-ON-PETIOLE-Dependent Regulation of Development. Plant Physiol. 2019, 180, 937–951. [Google Scholar] [CrossRef] [Green Version]
  37. Ezer, D.; Shepherd, S.J.K.; Brestovitsky, A.; Dickinson, P.; Cortijo, S.; Charoensawan, V.; Box, M.S.; Biswas, S.; Jaeger, K.E.; Wigge, P.A. The G-Box Transcriptional Regulatory Code in Arabidopsis. Plant Physiol. 2017, 175, 628–640. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Li, N.; Zheng, H.; Cui, J.; Wang, J.; Liu, H.; Sun, J.; Liu, T.; Zhao, H.; Lai, Y.; Zou, D. Genome-wide association study and candidate gene analysis of alkalinity tolerance in japonica rice germplasm at the seedling stage. Rice 2019, 12, 24. [Google Scholar] [CrossRef]
  39. Louie, G.V.; Bowman, M.E.; Tu, Y.; Mouradov, A.; Spangenberg, G.; Noel, J.P. Structure-Function Analyses of a Caffeic Acid O-Methyltransferase from Perennial Ryegrass Reveal the Molecular Basis for Substrate Preference. Plant Cell 2010, 22, 4114–4127. [Google Scholar] [CrossRef] [Green Version]
  40. Robin, A.Y.; Giustini, C.; Graindorge, M.; Matringe, M.; Dumas, R. Crystal structure of norcoclaurine-6-O-methyltransferase, a key rate-limiting step in the synthesis of benzylisoquinoline alkaloids. Plant J. 2016, 87, 641–653. [Google Scholar] [CrossRef] [Green Version]
  41. Bugos, R.C.; Chiang, V.L.; Campbell, W.H. cDNA cloning, sequence analysis and seasonal expression of lignin-bispecific caffeic acid/5-hydroxyferulic acid O-methyltransferase of aspen. Plant Mol. Biol. 1991, 17, 1203–1215. [Google Scholar] [CrossRef]
  42. He, M.-W.; Wang, Y.; Wu, J.-Q.; Shu, S.; Sun, J.; Guo, S.-R. Isolation and characterization of S-Adenosylmethionine synthase gene from cucumber and responsive to abiotic stress. Plant Physiol. Biochem. 2019, 141, 431–445. [Google Scholar] [CrossRef] [PubMed]
  43. Wang, X.; Oh, M.W.; Komatsu, S. Characterization of S-adenosylmethionine synthetases in soybean under flooding and drought stresses. Biol. Plant. 2016, 60, 269–278. [Google Scholar] [CrossRef]
  44. Barros, J.; Serk, H.; Granlund, I.; Pesquet, E. The cell biology of lignification in higher plants. Ann. Bot. 2015, 115, 1053–1074. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Curaba, J.; Spriggs, A.; Taylor, J.; Li, Z.; Helliwell, C. miRNA regulation in the early development of barley seed. BMC Plant Biol. 2012, 12, 120. [Google Scholar] [CrossRef] [Green Version]
  46. Wei, K.; Chen, H. Global identification, structural analysis and expression characterization of cytochrome P450 monooxygenase superfamily in rice. BMC Genomics 2018, 19, 35. [Google Scholar] [CrossRef] [Green Version]
  47. Kansal, S.; Mutum, R.D.; Balyan, S.C.; Arora, M.K.; Singh, A.K.; Mathur, S.; Raghuvanshi, S. Unique miRNome during anthesis in drought-tolerant indica rice var. Nagina 22. Planta 2015, 242, 365. [Google Scholar] [CrossRef] [Green Version]
  48. Mangrauthia, S.K.; Bhogireddy, S.; Agarwal, S.; Prasanth, V.V.; Voleti, S.R.; Neelamraju, S.; Subrahmanyam, D. Genome-wide changes in microRNA expression during short and prolonged heat stress and recovery in contrasting rice cultivars. J. Exp. Bot. 2017, 68, 2399–2412. [Google Scholar] [CrossRef] [Green Version]
  49. Chen, C.; Chen, H.; Zhang, Y.; Thomas, H.R.; Frank, M.H.; He, Y.; Xia, R. TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data. Mol. Plant 2020, 13, 1194–1202. [Google Scholar] [CrossRef] [PubMed]
  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. [Google Scholar] [CrossRef] [Green Version]
  51. Letunic, I.; Bork, P. Interactive tree of life (iTOL) v3: An online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Res. 2016, 44, W242–W245. [Google Scholar] [CrossRef]
  52. Wang, Y.; Tang, H.; DeBarry, J.D.; Tan, X.; Li, J.; Wang, X.; Lee, T.-H.; Jin, H.; Marler, B.; Guo, H.; et al. MCScanX: A toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 2012, 40, e49. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Lescot, M.; Dehais, P.; Thijs, G.; Marchal, K.; Moreau, Y.; Van de Peer, Y.; Rouze, P.; Rombauts, S. PlantCARE, a database of plant cis-acting regulatory elements and a portal to tools for in silico analysis of promoter sequences. Nucleic Acids Res. 2002, 30, 325–327. [Google Scholar] [CrossRef] [PubMed]
  54. Otasek, D.; Morris, J.H.; Boucas, J.; Pico, A.R.; Demchak, B. Cytoscape Automation: Empowering workflow-based network analysis. Genome Biol. 2019, 20, 1–15. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Ren, J.; Gao, F.; Wu, X.; Lu, X.; Zeng, L.; Lv, J.; Su, X.; Luo, H.; Ren, G. Bph32, a novel gene encoding an unknown SCR domain-containing protein, confers resistance against the brown planthopper in rice. Sci. Rep. 2016, 6, 37645. [Google Scholar] [CrossRef]
  56. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCT Method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef] [PubMed]
Figure 1. The gene duplication types and chromosomal distribution of OsCOMTs. The WGD gene pair is linked with a thick blue line. TD gene pairs are linked with thick orange lines. The duplications genes were marked in red. The scale marked on the chromosome indicates the chromosome length (Mb).
Figure 1. The gene duplication types and chromosomal distribution of OsCOMTs. The WGD gene pair is linked with a thick blue line. TD gene pairs are linked with thick orange lines. The duplications genes were marked in red. The scale marked on the chromosome indicates the chromosome length (Mb).
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Figure 2. Synteny analysis of Arabidopsis thaliana, Oryza sativa, Brachypodium distachyon, Zea mays, Glycine max, and Hordeum vulgare. The chromosomes of different species are represented by long bars of different colors.
Figure 2. Synteny analysis of Arabidopsis thaliana, Oryza sativa, Brachypodium distachyon, Zea mays, Glycine max, and Hordeum vulgare. The chromosomes of different species are represented by long bars of different colors.
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Figure 3. Phylogenetic relationships among 209 COMT proteins in Arabidopsis thaliana, Oryza sativa, Brachypodium distachyon, Zea mays, Glycine max, and Hordeum vulgare. The OsCOMTs are marked in red.
Figure 3. Phylogenetic relationships among 209 COMT proteins in Arabidopsis thaliana, Oryza sativa, Brachypodium distachyon, Zea mays, Glycine max, and Hordeum vulgare. The OsCOMTs are marked in red.
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Figure 4. Domain motif and gene structure of OsCOMTs. Different colors were used to represent different domain motifs. The yellow round-corner rectangle represents CDS, the blue rectangle represents UTR, and the black line represents introns.
Figure 4. Domain motif and gene structure of OsCOMTs. Different colors were used to represent different domain motifs. The yellow round-corner rectangle represents CDS, the blue rectangle represents UTR, and the black line represents introns.
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Figure 5. (A) Phylogenetic tree of OsCOMTs. (B) Cis-acting elements heatmap of OsCOMTs. (C) Histograms of different colors represent different types of elements. (D) GO enrichment analysis of OsCOMTs.
Figure 5. (A) Phylogenetic tree of OsCOMTs. (B) Cis-acting elements heatmap of OsCOMTs. (C) Histograms of different colors represent different types of elements. (D) GO enrichment analysis of OsCOMTs.
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Figure 6. (A) Expression levels of differentially expressed OsCOMTs under salt stress. (B) Expression levels of differentially expressed OsCOMTs under drought stress. (C) Expression of OsCOMTs in seeds, stems, leaves, and roots. Induced OsCOMTs are marked in red. Asterisks indicate that the expression of OsCOMTs was significantly increased or decreased at different times after treatment. (* p < 0.05; ** p < 0.01; Student’s t-test).
Figure 6. (A) Expression levels of differentially expressed OsCOMTs under salt stress. (B) Expression levels of differentially expressed OsCOMTs under drought stress. (C) Expression of OsCOMTs in seeds, stems, leaves, and roots. Induced OsCOMTs are marked in red. Asterisks indicate that the expression of OsCOMTs was significantly increased or decreased at different times after treatment. (* p < 0.05; ** p < 0.01; Student’s t-test).
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Figure 7. (A) Lignin content in five growth stages of rice stem. (B) Expression of OsCOMTs in rice stem at five different stages. S1: Seedling stage, S2: Tillering stage, S3: Booting stage, S4: Heading stage, S5: Filling stage.
Figure 7. (A) Lignin content in five growth stages of rice stem. (B) Expression of OsCOMTs in rice stem at five different stages. S1: Seedling stage, S2: Tillering stage, S3: Booting stage, S4: Heading stage, S5: Filling stage.
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Figure 8. Multiple sequence alignment of OsCOMT8, OsCOMT9 and OsCOM15 with known COMT genes. Purple: Substrate; Green; SAM binding; Orange: catalytic residues.
Figure 8. Multiple sequence alignment of OsCOMT8, OsCOMT9 and OsCOM15 with known COMT genes. Purple: Substrate; Green; SAM binding; Orange: catalytic residues.
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Figure 9. Network diagram of miRNAs targeted with OsCOMTs. OsCOMTs are marked in green. Single-targeted miRNAs are marked in purple, and multi-targeted miRNAs are marked in pink.
Figure 9. Network diagram of miRNAs targeted with OsCOMTs. OsCOMTs are marked in green. Single-targeted miRNAs are marked in purple, and multi-targeted miRNAs are marked in pink.
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Liang, S.; Xu, S.; Qu, D.; Yang, L.; Wang, J.; Liu, H.; Xin, W.; Zou, D.; Zheng, H. Identification and Functional Analysis of the Caffeic Acid O-Methyltransferase (COMT) Gene Family in Rice (Oryza sativa L.). Int. J. Mol. Sci. 2022, 23, 8491. https://doi.org/10.3390/ijms23158491

AMA Style

Liang S, Xu S, Qu D, Yang L, Wang J, Liu H, Xin W, Zou D, Zheng H. Identification and Functional Analysis of the Caffeic Acid O-Methyltransferase (COMT) Gene Family in Rice (Oryza sativa L.). International Journal of Molecular Sciences. 2022; 23(15):8491. https://doi.org/10.3390/ijms23158491

Chicago/Turabian Style

Liang, Shaoming, Shanbin Xu, Di Qu, Luomiao Yang, Jingguo Wang, Hualong Liu, Wei Xin, Detang Zou, and Hongliang Zheng. 2022. "Identification and Functional Analysis of the Caffeic Acid O-Methyltransferase (COMT) Gene Family in Rice (Oryza sativa L.)" International Journal of Molecular Sciences 23, no. 15: 8491. https://doi.org/10.3390/ijms23158491

APA Style

Liang, S., Xu, S., Qu, D., Yang, L., Wang, J., Liu, H., Xin, W., Zou, D., & Zheng, H. (2022). Identification and Functional Analysis of the Caffeic Acid O-Methyltransferase (COMT) Gene Family in Rice (Oryza sativa L.). International Journal of Molecular Sciences, 23(15), 8491. https://doi.org/10.3390/ijms23158491

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