ORIGINAL RESEARCH article

Front. Plant Sci., 01 July 2025

Sec. Plant Bioinformatics

Volume 16 - 2025 | https://doi.org/10.3389/fpls.2025.1629560

Genome-wide identification of MYBL2 in Brassicaceae, with a focus on the expression pattern of regulating anthocyanin synthesis in Brassica crops

Chenchen WangChenchen Wang1Qi ZhangQi Zhang1Yi LiuYi Liu1Wenjie ShenWenjie Shen1Shubei WanShubei Wan1Lunlin ChenLunlin Chen2Chen Tan*Chen Tan1*Daozong Chen*Daozong Chen1*
  • 1College of Life Sciences, Ganzhou Key Laboratory of Greenhouse Vegetable, Gannan Normal University, Ganzhou, China
  • 2Nanchang Branch of National Center of Oilcrops Improvement, Jiangxi Province Key Laboratory of Oil Crops Biology, Crops Research Institute of Jiangxi Academy of Agricultural Sciences, Nanchang, China

The Brassicaceae family includes the model plant Arabidopsis thaliana, along with various vegetables and oil crops, which possess significant economic and scientific value. Notably, three diploid species within the U’s Triangle of Brassica have undergone natural hybridization, resulting in the formation of three allotetraploid species, which provides an excellent model for investigating the phylogenetic, evolutionary, and functional differentiation of plant homologous genes. In this study, we systematically identified MYBL2 homologous genes within the 31 Brassicaceae species, with a total of 48 homologous genes identified from 30 species, and phylogenetic analysis revealed the presence of six subfamilies, Ka/Ks analysis showed that only 10 MYBL2 homologous gene were positively selected during evolution. We subsequently concentrated on the evolution, gene structure, and conserved domain analysis of 16 MYBL2 homologous genes across six Brassica crops found in U’s Triangle. Our findings indicated that these 16 MYBL2 homologous genes predominantly clustered into two branches and exhibited a high degree of evolutionary conservation. Further RNA-seq analysis of various tissues and organs from Brassica crops demonstrated that MYBL2 homologous genes were significantly up-regulated in tissues with anthocyanin accumulation. Concurrently, we employed Weighted Gene Co-expression Network Analysis (WGCNA) to identify hub genes regulated by anthocyanin in different tissues of B. napus, revealing that BnaMYBL2.C06 exhibited a strong repressor with anthocyanin biosynthetic genes (ABGs) in petals. Finally, quantitative reverse transcription PCR (qRT-PCR) analysis of B. napus leaves, stems, and petals indicated that four MYBL2 homologous genes were significantly up-regulated in leaves and petals, with expression patterns consistent with those of ABGs. Our results contribute new insights into the transcriptional regulatory mechanisms of anthocyanin in Brassica crops.

Introduction

The Brassicaceae family holds significant scientific and economic value, encompassing various vegetables (e.g., cabbage), ornamental flowers (e.g., violet), oil crops (e.g., rapeseed), and the model plant Arabidopsis thaliana. This family serves as an ideal genetic tool and resource for the study of flowering plants. In recent years, researchers have deciphered nearly 90 versions of reference genomes from 31 species, contributing to genetic and evolutionary studies of Brassicaceae species. This work provides a foundation for exploring the phylogenetic relationships and biological functions of cruciferous species (Liu et al., 2022). The genus Brassica is particularly important within the family, comprising six species known as U’s triangle: B. rapa (AA, 2n = 20), B. oleracea (CC, 2n = 18), B. nigra (BB, 2n = 16), B. juncea (AABB, 2n = 36), B. napus (AACC, 2n = 38), and B. carinata (BBBCC, 2n = 34) (Warwick, 2011). Notably, three diploid species, B. rapa, B. oleracea, and B. nigra, have experienced genome-wide triploid events during their evolution. Additionally, three allotetraploid species, B. juncea, B. napus, and B. carinata, formed through natural doubling following hybridization, have undergone significant alterations in the number of homologous genes due to chromosomal rearrangements. These species present an ideal model for studying the evolution and function of homologous genes (He et al., 2021). Currently, the chromosome levels of the six Brassica species have been published, laying a foundation for the systematic identification and exploration of gene phylogeny, evolution, and functional differentiation (Cai et al., 2020; Perumal et al., 2020; Kang et al., 2021; Song et al., 2021; Tang et al., 2021; Zhang et al., 2023).

Anthocyanins are a significant class of secondary metabolites in plants, responsible for imparting various colors, including red, purple, and blue, to different plant organs. They are widely distributed across petals, leaves, fruits, seeds, and other tissues (Tanaka et al., 2008; Zhao et al., 2022). In plants, the accumulation of anthocyanins aids in pollination and seed dispersal, enhances resistance to pests and diseases, and improves tolerance to abiotic stresses (Shang et al., 2011). Furthermore, anthocyanins act as natural antioxidants, contributing to human health by enhancing immunity, improving vision, delaying aging, preventing chronic diseases, and exhibiting antibacterial, anti-inflammatory, and anti-tumor activities (Zhang and Jing, 2022). The biosynthetic pathway of anthocyanins has been extensively studied in various plants, with most of the genes involved identified. The structural genes encoding anthocyanin synthase are categorized into early biosynthetic genes (EBGs), which primarily include PAL, C4H, 4CL, CHS, CHI, F3’H, and F3H, and late biosynthetic genes (LBGs), which mainly comprise DFR, ANS(LDOX), UGT, and GST (Tanaka et al., 2008). The MYB-bHLH-WD40 (MBW) complex, formed by the MYB transcription factor, bHLH transcription factor, and WD40 repeat protein, collaboratively regulates the expression of late structural genes in anthocyanin biosynthesis (Zhao et al., 2013; Khusnutdinov et al., 2022).

Current studies have demonstrated that R2R3-MYB transcription factors, including PAP1/MYB75, PAP2/MYB90, MYB113, and MYB114, along with bHLH transcription factors such as GL3, EGL3, and TT8, as well as the WD40 protein TTG1, positively regulate anthocyanin biosynthesis in A. thaliana (Zhang et al., 2003; Zhao et al., 2013; Naing and Kim, 2018). The main R2R3 MYB regulatory factors, PAP1/2 and MYB113/114, which regulate anthocyanin synthesis in plants, have been reported to enhance anthocyanin production in several species, including maize (Cone et al., 1986), Arabidopsis (Teng et al., 2005), and tomato (Zuluaga et al., 2008). Conversely, negative regulators of anthocyanin synthesis also exist in plants. In A. thaliana, the R3-MYB transcription factor AtMYBL2 inhibits the formation of the MBW complex by interacting with the bHLH transcription factor TT8 (Matsui et al., 2008). This complex is capable of binding to the DFR promoter, thereby repressing the transcription of both DFR and TT8, which in turn inhibits anthocyanin biosynthesis (Matsui et al., 2008). Following the knockout of the AtMYBL2 gene in A. thaliana, it was observed that the expression levels of the key gene DFR and the regulatory gene TT8 were upregulated, leading to a significant increase in anthocyanin content (Dubos et al., 2008). Furthermore, it was discovered that HY5 positively regulates anthocyanin accumulation in Arabidopsis by activating MYBD, which in turn inhibits MYBL2 expression (Nguyen et al., 2015). In Zicaitai (B. rapa) and Chinese cabbage, the MYB transcription factor BrMYBL2.1 is regarded as a negative regulator of anthocyanin biosynthesis (Zhang et al., 2020; Kim et al., 2022). In B. oleracea, higher anthocyanin content was noted following the mutation of MYBL2 (Khusnutdinov et al., 2022). Recent studies have demonstrated that the APETALA2-MYBL2 module inhibits the biosynthesis of proanthocyanidins by influencing the formation of the MBW complex in Arabidopsis seeds (Jiang et al., 2024). Additionally, the negative feedback regulation module, which comprises the R3-MYB repressor MYBL2 and the R2R3-MYB activator PAP1, exerts a fine-tuning effect on anthocyanin biosynthesis induced by high light in Arabidopsis (Xing et al., 2024). However, as the systematic identification and functional analysis of MYBL2 have not yet been reported, its role in the regulation of anthocyanin synthesis requires further investigation, particularly in Brassica crops.

In this study, we systematically identified MYBL2 homologous genes in 31 cruciferous species with available reference genome information. Excluding Aethionema arabicum, we identified a total of 48 MYBL2 homologous genes across 30 species, and phylogenetic analysis revealed that these genes can be categorized into six subfamilies. Ka/Ks analysis showed that except for 10 genes that were under positive selection during the evolution process, the other genes were under purifying selection. We subsequently analyzed the evolution and collinearity of 16 MYBL2 homologous genes in six Brassica crops, which were found to be divided into two branches, demonstrating significant collinearity on the A, B, and C subgenome chromosomes. Furthermore, our analysis of cis-acting elements, gene structure, conserved domains, and conserved motifs in the promoter regions indicated that MYBL2 is highly conserved throughout evolution, with the exception of BjuMYBL2.A02 in B. juncea, which exhibited a partial deletion in the R3 domain. Additionally, we utilized RNA-seq data to investigate the expression patterns of MYBL2 in Brassica, revealing that expression levels were significantly up-regulated in tissues where anthocyanins accumulate. We also conducted WGCNA analysis in conjunction with RNA-seq data from various tissues of B. napus, identifying BnaMYBL2.C06 as a potential hub gene regulating flower color formation in B. napus. The results from qRT-PCR corroborated that the expression patterns of four MYBL2 genes in B. napus aligned with those of ABGs, showing significant up-regulation in leaves and petals. Our findings provide new insights into the role of MYBL2 in anthocyanin biosynthesis.

Materials and methods

Identification, phylogenetic and syntenic analysis of MYBL2 gene in Brassicaceae

BLASTN and BLASTP alignments (coverage = 60%, identity = 60%, e-value = 1.00e-20) were performed on 31 species of Brassicaceae, using the MYBL2 (AT1G71030) nucleic acid sequence and the protein sequence of Arabidopsis thaliana as references to obtain homologous sequences. The protein sequence of the homologous gene was extracted and submitted to BatchCDD (https://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi) for conservative domain analysis, and the results were compared with those from BLAST to determine the gene family members. The IQ-TREE software was employed to construct the phylogenetic tree with maximum likelihood, while iTOL (https://itol.embl.de) was utilized to enhance the visual representation of the phylogenetic tree. In six Brassica species, SynOrthos software was used to analyze the collinear relationships between A. thaliana and Brassica species (Cheng et al., 2012), and TBtools-II software (v2.118) facilitated the visual analysis (Chen et al., 2023). The coding sequences (CDS) and protein sequences of MYBL2 family members were retrieved from 30 Brassicaceae genomes, and the Ka/Ks values for each MYBL2 family member were computed using TBtools-II software (v2.118) (Chen et al., 2023). The R software package pheatmap was used to create the heat map for MYBL2 members with Ka/Ks values.

Structure and evolution analysis of MYBL2 homologous genes in Brassica

MEME (https://meme-suite.org/meme/) was employed to analyze the conserved characteristics of the MYBL2 protein sequence, while BatchCDD (https://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi) was utilized to assess the conserved domains of the MYBL2 protein. The 2 kb sequence upstream of the MYBL2 start codon was extracted and submitted to PlantCARE (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/) for promoter cis-acting element prediction analysis, with visualization performed using TBtools-II (v2.118) software (Chen et al., 2023). The protein sequence of the Brassica MYBL2 homologous gene was submitted to CLUSTALW (https://www.genome.jp/tools-bin/clustalw) for sequence alignment, and the resulting protein sequence alignments were visualized using ESPript3.0 (https://espript.ibcp.fr/ESPript/cgi-bin/ESPript.cgi) and WebLogo3 (https://weblogo.threeplusone.com), respectively.

Transcriptome sequencing data analysis

To investigate the expression patterns of the MYBL2 gene across various species of Brassica and different tissues of B. napus, we collected transcriptome data from the leaves (green and purple) of B. rapa, B. juncea, and B. oleracea. Additionally, the transcriptome data encompassed five distinct tissues of B. napus, which included siliques (green and purple), stems (green and purple), leaves (green and purple), flower colors (white and purple), seed coats (yellow and black), as well as six different flower colors (white, beige, yellow, purple, apricot pink, and orange). Furthermore, we obtained transcriptome data from four different developmental stages (S1, S2, S3, S4) of purple flower B. napus. Each group of RNA-seq data above contained three biological replicates. The raw RNA-seq data obtained were mapped to the pak choi reference genome (Thakur, 2024) using HISAT2 software (v2.1.0), ensuring that each read matched only one region. The htseq-count function of the HTSeq software (v0.11.2) package was employed to count the number of reads aligned to each gene (Anders et al., 2015). Subsequently, the DEseq2 package (http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html) was utilized to analyze differentially expressed genes (DEGs). The expression level of each gene was calculated using StringTie software (v2.1.1) (Thakur, 2024). Additionally, TBtools-II software (v2.118) was used to create a heat map of gene expression related to the anthocyanin synthesis pathway (Chen et al., 2023).

WGCNA analysis

To further investigate the hub genes involved in regulating anthocyanin synthesis in the B. napus different tissues, we employed WGCNA to construct the interaction relationships among ABGs across leaves (green and purple), stems (green and purple) and flowers (white and purple) of B. napus. Correlation analysis was conducted using the WGCNA software package (v4.3.1) (Langfelder and Horvath, 2008) to assess the relationships between each co-expression module, phenotypic traits, and anthocyanin content, thereby identifying key hub genes that influence anthocyanin synthesis. Subsequently, the gene regulatory network data derived from the WGCNA analysis were imported into Cytoscape (v3.80) for visual representation (Shannon et al., 2003). For detailed methodology, please refer to the article by Liu et al (Liu et al., 2024).

Quantitative analysis

The leaves (green and purple), stems (green and purple) and flowers (white and purple) were collected and then used to extract total RNA, from which cDNA was synthesized through reverse transcription for quantitative real-time PCR (qRT-PCR) analysis. The specific methodology is as follows: First, the Eastep® Super Total RNA Extraction Kit from Promega Biotech Co., Ltd (Beijing, China) was utilized for total RNA extraction. Subsequently, the HiScript III 1st Strand cDNA Synthesis Kit (+gDNA wiper) from Vazyme Biotech Co., Ltd (Nanjing, China) was employed for cDNA synthesis via reverse transcription. The qRT-PCR was conducted using the SYBR qPCR Master Mix from Vazyme Biotech Co., Ltd (Nanjing, China). The reaction mixture comprised a total volume of 20.0 µL, consisting of 10.0 µL SYBR qPCR Master Mix, 0.5 µL each of forward and reverse primers, 4.0 µL of cDNA template, and 5.0 µL of ddH2O. The amplification procedure included an initial denaturation step at 95 °C for 30 seconds, followed by 40 cycles of denaturation at 95 °C for 10 seconds and annealing/extension at 60 °C for 30 seconds. This was followed by a final denaturation at 95 °C for 15 seconds, annealing at 60 °C for 60 seconds, and a melting curve analysis at 95 °C for 15 seconds. The relative expression levels were calculated using the 2 -ΔΔCT method, with the fold change determined based on these relative expression levels. The average values were visualized using Prism 9 (v9.5.1) software. Primer information for the qRT-PCR analysis is provided in Supplementary Table S1. For detailed methods, please refer to Chen et al (Chen, 2020).

Results

Identification and phylogenetic analysis of MYBL2 in Brassicaceae species

To systematically identify MYBL2 genes in Brassicaceae plants, we utilized the MYBL2 protein sequence of A. thaliana (AT1G71030.1) as a reference. This approach enabled the identification of MYBL2 genes across 31 Brassicaceae plants with published reference genomes. The results revealed the presence of 48 MYBL2 genes, excluding Aethionema arabicum (Table 1; Supplementary Table S2). Among these, B. napus exhibited the highest number of homologous MYBL2 copies, totaling four. Additionally, three copies were found in B. carinata, B. juncea, Raphanus sativus, and Lepidium meyenii. Two homologous MYBL2 copies were identified in B. nigra, B. oleracea, B. rapa, Camelina sativa, Leavenworthia alabamica, Orychophragmus violaceus, and Sinapis arvensis, while only one MYBL2 homologous gene was detected in the remaining species (Table 1).

Table 1
www.frontiersin.org

Table 1. Genome version information and MYBL2 homologous genes in 31 Brassicaceae species.

To investigate the evolutionary relationships among MYBL2 homologous genes across 31 species of Brassicaceae, we constructed a phylogenetic tree using protein sequences. The phylogenetic analysis revealed that 48 MYBL2 homologous genes can be classified into six subfamilies (Group I to Group VI) (Figure 1). Notably, the rna-MERR-LOCUS39516 from Microthlaspi erraticum forms a separate group (Group I), while Group II comprises two genes: MIN02G3220.t1 from Matthiola incana and KFK41528.1 from Arabis alpina. Group III includes 16 members of the MYBL2 gene family, among which AT1G71030.1 is represented. Additionally, Thlar.0031s0691.1 from Thlaspi arvense and Thhalv10019036m from Eutrema salsugineum are classified within Group IV. Groups V and VI contain 12 and 15 genes, respectively, with 16 MYBL2 homologous genes from six species of Brassica distributed across these two groups. Ka/Ks analysis found that only 20 gene pairs had Ka/Ks values > 1, indicating that they were subject to positive selection, while the Ka/Ks values of other gene pairs were < 1, indicating that these genomes were mainly subject to purifying selection during evolution (Supplementary Figure S1; Supplementary Table S3).

Figure 1
Circular phylogenetic tree chart categorized into six groups, labeled I to VI, and an outgroup. Each segment contains alphanumeric labels representing different genetic sequences. Group colors range from yellow to purple.

Figure 1. Phylogenetic relationships of MYBL2 homologous genes between 31 Brassicaceae species. The 48 homologous genes of MYBL2 were divided into six subfamilies, named Group I to Group VI by different colors, and AT1G66340.1 was divided into a separate group as an out group.

Evolution and collinearity analysis of MYBL2 homologous genes in six species in U’s triangle

In six Brassica species of U’s triangle, a total of 16 MYBL2 homologous genes were identified (Table 1). To clarify the evolutionary relationships among 16 MYBL2 homologous genes in six Brassica species, we conducted phylogenetic and collinearity analyses of these genes (Figure 2; Supplementary Table S4). The results indicated that the 16 MYBL2 homologous genes were categorized into two primary branches, which could further be subdivided into three smaller branches corresponding to the three subgenomes: A, B, and C (Figure 2A; Supplementary Table S5). Notably, within these three subgenomes, the MYBL2 homologous genes located on chromosomes A07, C06, and B03 clustered within the same evolutionary branch. In contrast, the MYBL2 homologous genes found on chromosomes A02, C02, C03, and B05 were allocated to a different evolutionary branch, suggesting that the homologous genes in these two branches may have diverged early in their evolutionary history. Furthermore, we examined the co-linearity of these 16 MYBL2 homologous genes across the Brassica A, B, and C subgenomes. The findings revealed that in the A subgenome, the MYBL2 homologous genes were predominantly located on the A02 and A07 chromosomes of B. napus and B. rapa, while B. juncea contained only one homologous gene on the A02 chromosome. In the C subgenome, MYBL2 homologous genes were mainly found on chromosomes C02 and C06 of B. napus and B. oleracea, with only one homologous gene from B. carinata located on chromosome C03. In the B subgenome, MYBL2 homologous genes were primarily distributed across the B03 and B05 chromosomes of B. nigra, B. juncea, and B. carinata (Figure 2B; Supplementary Table S6).

Figure 2
Phylogenetic tree and syntenic alignment between MYBL2 genes. Panel A shows a tree with highlighted gene names on colored backgrounds: orange, green, yellow, and pink. Panel B displays gene alignments with colored horizontal lines representing different species and curved lines indicating gene relationships.

Figure 2. Evolution and collinearity analysis of 16 MYBL2 homologous genes in Brassica species. (A) Phylogenetic tree of 16 MYBL2 homologous genes; (B) Colinearity of 16 MYBL2 homologous genes among A, B and C subgenomes.

Structure analysis of 16 MYBL2 homologous genes in six Brassica species

To comprehensively study the evolutionary patterns of 16 MYBL2 homologous genes in Brassica, we analyzed the promoter cis-acting elements, gene structure, conserved motifs, and conserved domains of these genes (Figure 3). Initially, we predicted the cis -acting elements within the 2 Kbp promoter sequence upstream of the 16 MYBL2 homologous genes, identifying a total of 39 distinct cis-acting elements (Supplementary Table S7). These elements were classified into categories including anaerobic induction, auxin responsiveness, cell cycle regulation, circadian control, defense and stress responsiveness, dehydration, low-temperature and salt stresses, low-temperature responsiveness, endosperm expression, gibberellin responsiveness, abscisic acid responsiveness, light responsiveness, MeJA responsiveness, meristem expression, drought inducibility, MYBHv1 binding site, salicylic acid responsiveness, wound responsiveness, and zein metabolism regulation, totaling 18 types of cis-regulatory elements. Notably, cis -acting elements associated with light response constituted half of the total. The distribution of components within the same branch exhibited similarities (Figure 3A(a)). The gene structure of the 16 MYBL2 homologous genes was highly conserved; with the exception of the deletion of the first exon in the gene Bol.MYBL2.C06, the remaining 15 homologous genes comprised three exons, and the total gene length, as well as the length and location of each exon, were highly similar (Figure 3A(b)). MEME online software was utilized to analyze 16 homologous MYBL2 proteins motifs, resulting in the identification of a total of 10 distinct motifs. The analysis revealed that all homologous genes contained motifs 1, 3, and 4; however, the gene BjuMYBL2.A02 uniquely lost motif 2 and exhibited a partial deletion at the N-terminus (Figure 3A(c); Supplementary Table S8).

Figure 3
Panel A shows a schematic of gene structures for several plant MYB proteins, highlighting motifs involved in stress responsiveness. Panel B presents an amino acid multiple sequence alignment of these MYB proteins, with colored blocks indicating conserved regions, such as R3 and EAR motifs. Panel C displays a sequence logo representing the consensus sequence of these proteins, with emphasis on the R3, EAR, and TLLLFR motifs, indicating sequence conservation and variability across the aligned proteins.

Figure 3. Analysis of cis-acting elements, gene structure, conserved motifs, conserved domains and protein sequence alignment of MYBL2 homologous gene promoters in six Brassica species. (A) Promoter cis-acting elements, gene structure, conserved motif and conserved domain analysis composite diagram, (a) promoter cis-acting elements, (b) gene structure, (c) conserved motif; (B) Conserved domain analysis of MYBL2 in six Brassica species, in the green box are R3 domain, EAR domain and TLLLF domain, respectively; (C) R3 conservative motif analysis MYBL2 in six Brassica species, in the red box are R3 motif, EAR motif and TLLLF motif.

Interestingly, both the cis-acting elements of the promoter and the gene structure, including conserved motifs and domains, reveal that the gene BjuMYBL2.A02 is significantly different from other members of the Brassica family. To further investigate this, we compared the protein sequences of these 16 homologous genes. The results indicated that the gene BjuMYBL2.A02 lacks a complete R3-MYB structure (Figure 3B), while the remaining 15 homologous genes possess a complete R3-MYB structure. Additionally, motif analysis of the 16 MYBL2 protein sequences in Brassica demonstrated that they exhibit a typical R3 conserved motif, EAR motif (LPDLNI(S/G)L) and a terminal TLLLF motif (Figure 3C). These findings suggest that, with the exception of BjuMYBL2.A02, MYBL2 is highly conserved across Brassica species.

Expression pattern analysis of MYBL2 homologous genes in Brassica species

To investigate the role of MYBL2 homologous genes in anthocyanin biosynthesis within Brassica crops, we utilized existing RNA-seq data to analyze the expression patterns of these genes in the leaves (purple and green) of B. rapa, B. oleracea, and B. juncea, as well as in various tissues of B. napus, including different flower colors and purple petals at various developmental stages (Figure 4; Supplementary Table S9). The results indicated that BraMYBL2.A02 was significantly up-regulated in the purple leaves of B. rapa (Figure 4A), BolMYBL2.C06 was significantly up-regulated in the purple leaves of B. oleracea (Figure 4B), and BjuMYBL2.B03 was significantly up-regulated in the purple leaves of B. juncea. Additionally, the expression levels of BjuMYBL2.A02 and BjuMYBL2.B05 in purple leaves were also found to be higher than those in green leaves (Figure 4C).

Figure 4
Heatmaps labeled A to F display the expression levels of MYBL2 genes in various plant tissues and color variations. Panels A to C show genes from different species with squares colored from white to red, indicating expression levels from low to high. Panels D and E illustrate expression in various plant parts and color variations, while panel F presents data for stages labeled S1 to S4. The color gradient scale ranges from 0.00 to 8.00.

Figure 4. Gene expression heat map of MYBL2 homologous genes in Brassica species. (A) Green and purple leaf of B. rapa; (B) Green and purple leaf of B. oleracea; (C) Green and purple leaf of B. juncea; (D) Different tissues of B. napus; (E) Different flower colors of B. napus; (F) Different developmental stages of B. napu purple petals.

In B. napus, we first examined the expression patterns of four MYBL2 homologous genes across different tissues: siliques (green and purple), leaves (green and purple), stems (green and purple), petals (white and purple), and seed coats (yellow and black). Our findings revealed that the expression levels of these four MYBL2 homologous genes were higher in purple leaves compared to green leaves, with BnaMYBL2.A07 showing significant up-regulation in tissues exhibiting anthocyanin accumulation (Figure 4D). Moreover, BnaMYBL2.A07 and BnaMYBL2.C06 were highly expressed in petals of various colors, particularly in those with anthocyanin accumulation (Figure 4E; Supplementary Figure S2). Furthermore, we analyzed the expression patterns of the four MYBL2 homologous genes during the four developmental stages of purple petals. We found that BnaMYBL2.C06 was significantly highly expressed in stages S1 to S3, while BnaMYBL2.A07 exhibited high expression across all stages (S1 to S4), with the highest expression level observed in stage S2 (Figure 4F).

Co−expression network analysis and identification of hub genes for anthocyanin biosynthesis regulation

To further investigate the role of MYBL2 in the regulation of anthocyanin synthesis across various tissues of B. napus and to identify hub genes, we selected leaves (green and purple), stems (green and purple), and petals (white and purple) from B. napus. Six sample groups, each consisting of three biological replicates, were subjected to RNA sequencing, and the resulting phenotypic data were analyzed using WGCNA (Figure 5).The results indicated that these genes were primarily clustered into three modules: MEblue, MEturquoise, and MEgrey (Figure 5A), with the MEblue module exhibiting the strongest gene interactions (Figure 5B). Subsequently, we conducted a correlation analysis among the three modules across the six sample groups, revealing that the MEturquoise module displayed the strongest correlation in purple petals (Figure 5C). Furthermore, we examined the regulatory relationships of ABGs within this module, identifying 62 enriched genes and complex regulatory interactions among them (Figure 5D). Notably, among the four MYBL2 homologous genes in B. napus, only BnaMYBL2.C06 was present in this module, and it exhibited regulatory relationships with 40 ABGs, further supporting the hypothesis that BnaMYBL2.C06 may function as a hub gene regulating anthocyanin synthesis.

Figure 5
Cluster analysis visualization with four panels: A shows a dendrogram with colored blocks for dynamic tree cuts; B is a heatmap of selected genes with a corresponding dendrogram; C displays a matrix of module-trait relationships with correlation values; D illustrates a gene network map centered on BnaMYB12.C09, with connections highlighted.

Figure 5. Weighted gene co-expression network analysis of ABGs in different tissues of B. napus. (A) The cluster dendrogram tree showing three modules of co-expressed genes by WGCNA, each leaf of tree corresponds to one gene, and the tree branches constitute three modules, labeled with different colors; (B) The heat map results of module clustering and the relationship, a clustering algorithm is employed to group various co-expression modules, thereby illustrating the correlations among them, the correlation between modules is further depicted in the module correlation matrix below, both the horizontal and vertical axes represent gene modules, and a deeper red color indicates a higher correlation, while a greener color signifies a lower correlation between the modules; (C) Module-to-sample correlation heatmap, correlation analysis was performed between the co-expression modules of various genes associated with ABGs in different tissues, the numbers above the heat map indicate the Pearson correlation coeffcient (r) values; (D) Cytoscape representation of co-expressed anthocyanin metabolism related genes w in the MEturquoise module.

Expression analysis of anthocyanin biosynthesis genes in different tissues of B. napus by qRT-PCR

To further validate the results of the RNA-seq analysis, we conducted qRT-PCR validation using leaves (green and purple), stems (green and purple), and petals (white and purple) of B. napus. We selected eight genes related to the anthocyanin biosynthetic pathway (BnaCHS.A02, BnaCHI.C04, BnaF3H.A09, BnaDFR.C09, BnaANS.C01, BnaUGT.A08, BnaTT8.C09, BnaPAP1.A07.b) and four MYBL2 homologous genes in B. napus for qRT-PCR analysis (Figure 6). The results indicated that eight ABGs were significantly differentially expressed in purple leaves and petals, particularly the key genes BnaDFR.C09 and BnaANS.C01, which catalyze the conversion of flavonoids to anthocyanins, showing significant up-regulation in all three purple tissues. Notably, four homologous copies of MYBL2 exhibited significant differential expression in purple petals and purple leaves, but not in the purple and green stems. This expression pattern was analogous to that of the genes BnaCHS.A02, BnaCHI.C04, BnaF3H.A09, BnaANS.C01, and BnaUGT.A08. Importantly, the expression pattern of the four MYBL2 homologs aligns with that of the known positive regulator of anthocyanin biosynthesis, BnaPAP1.A07.b.

Figure 6
Bar graphs display relative expression levels of different genes (BnaCHS.A02, BnaCHI.C04, BnaF3’H.A09, etc.) in various plant parts: green bars represent Leaf_G, Stem_G, and Flower_Y, while pink bars represent Leaf_P, Stem_P, and Flower_P. Significant differences are marked with asterisks.

Figure 6. qRT-PCR analysis of expression patterns of anthocyanin biosynthesis genes in different tissues of B. napus. For qRT-PCR analysis, both white and purple flower samples are with three biological replicates, the point represents the mean value of three technical replicates in a representative biological experiment, the error bars indicate s.d, student’s t-test, **P<0.01, *P<0.05.

Discussion

Evolution of MYBL2 in Brassicaceae species

MYBL2 is a typical R3-MYB transcription regulator, belonging to the S4-derived R3-MYB subclass, characterized by a partial R2 domain, an EAR-repression motif, and a TLLLFR inhibitory domain (Khusnutdinov et al., 2021; LaFountain and Yuan, 2021). In this study, we systematically identified MYBL2 homologous genes in 31 Brsssicaceae species with published reference genome information, based on the AtMYBL2 sequence of A. thaliana, resulting in a total of 48 identified genes. Notably, no MYBL2 homologous gene was found in A. arabicum, which may be attributed to the loss of the MYBL2 gene during evolution or to incomplete genome assembly. Interestingly, the copy number of MYBL2 homologous genes within the same species closely aligns with the phylogeny and evolution of the Brassicaceae family (Murat et al., 2015; Oh and Dassanayake, 2019). For instance, there is only one MYBL2 homologous gene in A. lyrata, A. haleri, and other plants that have not undergone genome-wide doubling events, whereas there are two MYBL2 homologous genes in B. rapa, B. oleracea, and other species that have experienced such doubling events. Allotetraploid species, such as B. juncea and B. carinata, possess three MYBL2 homologous genes, while B. napus has four. The Ka/Ks analysis results of 48 MYBL2 homologous genes showed that only 10 genes were positively selected during the evolution process, these genes were mainly concentrated in species with more human selection, such as Brassica, while the other MYBL2 homologous genes were mainly purifying selected during the evolution process. Furthermore, phylogenetic and collinearity analyses of 16 MYBL2 homologous genes in Brassica crops provide further evidence supporting this observation, indicating that the distribution of these 16 MYBL2 homologous genes across the A, B, and C subgenomes originated from a common ancestor but differentiated at an earlier stage. The distribution of these genes on different chromosomes of the A, B, and C subgenomes reflects the orthologous relationship of these two genes. At the same time, conserved domain analysis found that the BjuMYBL2.A02 gene exhibits a deletion of the R3 domain, which indicates that the gene structure of MYBL2 has also changed during species evolution. However, the genomes of the allotetraploids B. juncea, B. carinata, and B. napus are currently at the telomere-to-telomere level due to the presence of high repetitive sequences, necessitating further investigation as subsequent genomic information becomes available.

MYBL2 regulates plant anthocyanin synthesis

The regulation of MYBL2 on anthocyanin biosynthesis in plantswas first reported in A. thaliana. It was discovered that MYBL2 work as a repressor that competes with PAP1/2 for binding to GL3/TT8, thereby inhibiting the formation of the PAP1/2-GL3/TT8-TTG1 transcriptional regulatory complex, which results in the negative regulation of anthocyanin biosynthesis in A. thaliana (Dubos et al., 2008; Matsui et al., 2008). Knockout of AtMYBL2 in A. thaliana, the expression levels of the key gene DFR and the regulatory gene TT8 were found to be up-regulated, resulting in a significant increase in anthocyanin content (Dubos et al., 2008). In addition, HY5 can inhibit MYBL2 activity by activating the expression of MYBD, which in turn increases anthocyanin accumulation in A. thaliana (Nguyen et al., 2015). And it has been observed that MYBL2 can interact with AP2 to form the AP2-MYBL2-TT8/EGL3 complex, which disrupts the formation of the MBW complex. This disruption inhibits the expression of ANR, TT12, TT19, and AHA, thereby hindering the biosynthesis of proanthocyanidins in A. thaliana seeds (Jiang, ). In Brassica crops, BrMYBL2.1 is considered to negatively regulate anthocyanin biosynthesis in Zicaitai (B. rapa) and Chinese cabbage (Zhang et al., 2020; Kim et al., 2022), while the anthocyanin content in B. oleracea increased following MYBL2 mutation (Khusnutdinov et al., 2022). These findings suggest that the function of MYBL2 in B. rapa and B. oleracea is consistent with that in A. thaliana, where it negatively regulates anthocyanin biosynthesis. However, in this study, we observed that the expression patterns of four MYBL2 homologous genes in the leaves, stems, and petals of B. napus aligned with the trend of ABGs, with expression levels significantly up-regulated in tissues exhibiting high anthocyanin content. This indicates a close relationship between MYBL2 and anthocyanin biosynthesis in B. napus. Moreover, we found that the expression pattern of MYBL2 was consistent with that of BnaPAP2.A7b, and their competing bHLH transcription factor TT8, along with the regulated structural gene DFR, also exhibited similar patterns. These results further suggest that as plant anthocyanins are synthesized and accumulated, the expression of MYBL2 is up-regulated, competing with BnaPAP2.A7b for TT8 to inhibit further anthocyanin synthesis. Recent studies have revealed that MYBL2 interacts with PAP1/2 to diminish its transcriptional activation activity, consequently reducing the expression of key genes DFR and TT19 involved in anthocyanin biosynthesis (Xing et al., 2024). This finding is particularly insightful for our subsequent research, as it elucidates the similar expression trends of MYBL2 and PAP1/2 observed in this study. We speculate that the substantial synthesis of anthocyanins triggers a feedback regulation mechanism in B.napus. This feedback may disrupt the formation of the MBW complex by enhancing MYBL2 expression and its interaction with PAP1/2, thereby inhibiting further synthesis and accumulation of anthocyanins. The underlying mechanisms warrant further investigation.

Conclusion

In this study, we systematically identified 48 MYBL2 homologous genes from 30 cruciferous species, and phylogenetic analysis revealed that these genes can be classified into six subfamilies. Subsequently, we selected 16 MYBL2 homologous genes from six Brassica crops within U’s triangle for evolutionary, gene structure, and conserved domain analyses. Our findings indicated that these 16 MYBL2 homologous genes predominantly clustered into two branches and exhibited a high degree of evolutionary conservation. Further RNA-seq analysis demonstrated that MYBL2 homologous genes were significantly up-regulated in tissues exhibiting anthocyanin accumulation. Additionally, WGCNA of different tissues in B. napus revealed that BnaMYBL2.C06 had a strong regulatory relationship with ABGs in petals. Through qRT-PCR analysis of B. napus leaves, stems, and petals, we observed that four MYBL2 homologous genes were significantly up-regulated in leaves and petals, with expression patterns consistent with those of ABGs.

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 authors.

Ethics statement

All materials in this study comply with relevant institutional, national, and international guidelines, legislation, and sub-section ethical approval and consent to participate.

Author contributions

CW: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. QZ: Data curation, Formal Analysis, Methodology, Writing – original draft. YL: Formal Analysis, Investigation, Software, Writing – original draft. WS: Conceptualization, Data curation, Methodology, Writing – review & editing. SW: Formal Analysis, Investigation, Methodology, Writing – review & editing. CL: Funding acquisition, Project administration, Resources, Writing – review & editing. CT: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. DC: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by the Jiangxi Province Key Laboratory of Oil Crops Genetic Improvement (2024SSY04031)(KF202401 to CT); the Ganpo Talent Support Program of Jiangxi Province (20232BCJ23089 to DC); the Key Research and Development Program of Jiangxi Province (20223BBF61002 to LC); Jiangxi Province’s training program for academic and technical leaders in major disciplines (20204BCJL22046 to LC).

Acknowledgments

Thanks to Bioyi Biotechnology Co., Ltd., Wuhan, China, for the sequencing service provided.

Conflict of interest

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

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

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.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2025.1629560/full#supplementary-material

Abbreviations

PAL, phenylalanine ammonia-lyase; C4H, cinnamate-4-hydroxylase; 4CL, 4-coumarate CoA ligase 4; CHS, chalcone synthase; CHI, chalcone isomerase; F3H, flavanone 3-hydroxylase; FLS, flavonol synthase; DFR, dihydroflavonol 4-reductase; ANS, anthocyanidin synthase; BAN, anthocyanidin oxidoreductase; UFT, UDP-flavonoid glucosyltransferase; GST, glutathione S-transferase; AT, acyltransferase; TTG1, transparent testa glabra 1; TT8, transparent testa 8; GL3, glabra 3; EGL3, enhancer of glabra 3; PAP1/2, production of anthocyanin pigment 1/2; MYB75/90/113/114, MYB domain protein 75/90/113/114; LBD37, lob domain-containing protein 37.

References

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

PubMed Abstract | Crossref Full Text | Google Scholar

Cai, X., Wu, J., Liang, J., Lin, R., Zhang, K., Cheng, F., et al. (2020). Improved Brassica oleracea JZS assembly reveals significant changing of LTR-RT dynamics in different morphotypes. Theor. Appl. Genet. 133, 3187–3199. doi: 10.1007/s00122-020-03664-3

PubMed Abstract | Crossref Full Text | Google Scholar

Chen, C., Wu, Y., Li, J., Wang, X., Zeng, Z., Xu, J., et al. (2023). TBtools-II: A “one for all, all for one” bioinformatics platform for biological big-data mining. Mol. Plant 16, 1733–1742. doi: 10.1016/j.molp.2023.09.010

PubMed Abstract | Crossref Full Text | Google Scholar

Chen, D. (2020). Alternatively spliced bnaPAP2.A7 isoforms play opposing roles in anthocyanin biosynthesis of brassica napus L. Front. Plant Sci. 11, 983. doi: 10.3389/fpls.2020.00983

PubMed Abstract | Crossref Full Text | Google Scholar

Cheng, F., Wu, J., Fang, L., and Wang, X. (2012). Syntenic gene analysis between Brassica rapa and other Brassicaceae species. Front. Plant Sci. 3. doi: 10.3389/fpls.2012.00198

PubMed Abstract | Crossref Full Text | Google Scholar

Cone, K. C., Burr, F. A., and Burr, B. (1986). Molecular analysis of the maize anthocyanin regulatory locus C1. Proc. Natl. Acad. Sci. U.S.A. 83, 9631–9635. doi: 10.1073/pnas.83.24.9631

PubMed Abstract | Crossref Full Text | Google Scholar

Dubos, C., Le Gourrierec, J., Baudry, A., Huep, G., Lanet, E., Debeaujon, I., et al. (2008). MYBL2 is a new regulator of flavonoid biosynthesis in Arabidopsis thaliana. Plant J. 55, 940–953. doi: 10.1111/j.1365-313X.2008.03564.x

PubMed Abstract | Crossref Full Text | Google Scholar

He, Z., Ji, R., Havlickova, L., Wang, L., Li, Y., Lee, H. T., et al. (2021). Genome structural evolution in Brassica crops. Nat. Plants. 7, 757–765. doi: 10.1038/s41477-021-00928-8

PubMed Abstract | Crossref Full Text | Google Scholar

Jiang, W., Yi, Q., Liu, J., Su, X., Han, X., and Li, Q. The APETALA2-MYBL2 module represses proanthocyanidin biosynthesis by affecting formation of the MBW complex in seeds of Arabidopsis thaliana. Plant Commun. (2024) 5 (3), 100777. doi: 10.1016/j.xplc.2023.100777

PubMed Abstract | Crossref Full Text | Google Scholar

Kang, L., Qian, L., Zheng, M., Chen, L., Chen, H., Yang, L., et al. (2021). Genomic insights into the origin, domestication and diversification of Brassica juncea. Nat. Genet. 53, 1392–1402. doi: 10.1038/s41588-021-00922-y

PubMed Abstract | Crossref Full Text | Google Scholar

Khusnutdinov, E., Artyukhin, A., Sharifyanova, Y., and Mikhaylova, E. V. (2022). A mutation in the MYBL2–1 gene is associated with purple pigmentation in brassica oleracea. IJMS 23, 11865. doi: 10.3390/ijms231911865

PubMed Abstract | Crossref Full Text | Google Scholar

Khusnutdinov, E., Sukhareva, A., Panfilova, M., and Mikhaylova, E. (2021). Anthocyanin biosynthesis genes as model genes for genome editing in plants. Int. J. Mol. Sci. 22 (16), 8752. doi: 10.3390/ijms22168752

PubMed Abstract | Crossref Full Text | Google Scholar

Kim, J., Kim, D.-H., Lee, J.-Y., and Lim, S.-H. (2022). The R3-type MYB transcription factor brMYBL2.1 negatively regulates anthocyanin biosynthesis in chinese cabbage (Brassica rapa L.) by repressing MYB–bHLH–WD40 complex activity. IJMS 23 (6), 3382. doi: 10.3390/ijms23063382

PubMed Abstract | Crossref Full Text | Google Scholar

LaFountain, A. M. and Yuan, Y. (2021). Repressors of anthocyanin biosynthesis. New Phytol. 231 (3), 933–949. doi: 10.1111/nph.17397

PubMed Abstract | Crossref Full Text | Google Scholar

Langfelder, P. and Horvath, S. (2008). WGCNA: an R package for weighted correlation network analysis. doi: 10.1186/1471-2105-9-559

PubMed Abstract | Crossref Full Text | Google Scholar

Liu, Z., Li, N., Yu, T., Wang, Z., Wang, J., Ren, J., et al. (2022). The Brassicaceae genome resource (TBGR): A comprehensive genome platform for Brassicaceae plants. Plant Physiol. 190, 226–237. doi: 10.1093/plphys/kiac266

PubMed Abstract | Crossref Full Text | Google Scholar

Liu, Y., Wang, C., Chen, H., Dai, G., Cuimu, Q., Shen, W., et al. (2024). Comparative transcriptome analysis reveals transcriptional regulation of anthocyanin biosynthesis in purple radish (Raphanus sativus L.). BMC Genomics 25, 624. doi: 10.1186/s12864-024-10519-4

PubMed Abstract | Crossref Full Text | Google Scholar

Matsui, K., Umemura, Y., and Ohme-Takagi, M. (2008). AtMYBL2, a protein with a single MYB domain, acts as a negative regulator of anthocyanin biosynthesis in Arabidopsis. Plant J. 55, 954–967. doi: 10.1111/j.1365-313X.2008.03565.x

PubMed Abstract | Crossref Full Text | Google Scholar

Murat, F., Louis, A., Maumus, F., Armero, A., Cooke, R., Quesneville, H., et al. (2015). Understanding Brassicaceae evolution through ancestral genome reconstruction. Genome Biol. 16, 262. doi: 10.1186/s13059-015-0814-y

PubMed Abstract | Crossref Full Text | Google Scholar

Naing, A. H. and Kim, C. K. (2018). Roles of R2R3-MYB transcription factors in transcriptional regulation of anthocyanin biosynthesis in horticultural plants. Plant Mol. Biol. 98, 1–18. doi: 10.1007/s11103-018-0771-4

PubMed Abstract | Crossref Full Text | Google Scholar

Nguyen, N. H., Jeong, C. Y., Kang, G., Yoo, S., Hong, S., and Lee, H. (2015). MYBD employed by HY5 increases anthocyanin accumulation via repression of MYBL2 in Arabidopsis. Plant J. 84, 1192–1205. doi: 10.1111/tpj.13077

PubMed Abstract | Crossref Full Text | Google Scholar

Oh, D.-H. and Dassanayake, M. (2019). Landscape of gene transposition–duplication within the Brassicaceae family. DNA Res. 26, 21–36. doi: 10.1093/dnares/dsy035

PubMed Abstract | Crossref Full Text | Google Scholar

Perumal, S., Koh, C. S., Jin, L., Buchwaldt, M., Higgins, E. E., Zheng, C., et al. (2020). A high-contiguity Brassica nigra genome localizes active centromeres and defines the ancestral Brassica genome. Nat. Plants. 6, 929–941. doi: 10.1038/s41477-020-0735-y

PubMed Abstract | Crossref Full Text | Google Scholar

Shang, Y., Venail, J., Mackay, S., Bailey, P. C., Schwinn, K. E., Jameson, P. E., et al. (2011). The molecular basis for venation patterning of pigmentation and its effect on pollinator attraction in flowers of Antirrhinum. New Phytologist. 189, 602–615. doi: 10.1111/j.1469-8137.2010.03498.x

PubMed Abstract | Crossref Full Text | Google Scholar

Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., et al. (2003). Cytoscape: A software environment for integrated models of biomolecular interaction networks. Genome Res. 13, 2498–2504. doi: 10.1101/gr.1239303

PubMed Abstract | Crossref Full Text | Google Scholar

Song, X., Wei, Y., Xiao, D., Gong, K., Sun, P., Ren, Y., et al. (2021). Brassica carinata genome characterization clarifies U’s triangle model of evolution and polyploidy in Brassica. Plant Physiol. 186, 388–406. doi: 10.1093/plphys/kiab048

PubMed Abstract | Crossref Full Text | Google Scholar

Tanaka, Y., Sasaki, N., and Ohmiya, A. (2008). Biosynthesis of plant pigments: anthocyanins, betalains and carotenoids. Plant J. 54, 733–749. doi: 10.1111/j.1365-313X.2008.03447.x

PubMed Abstract | Crossref Full Text | Google Scholar

Tang, S., Zhao, H., Lu, S., Yu, L., Zhang, G., Zhang, Y., et al. (2021). Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus. Mol. Plant 14, 470–487. doi: 10.1016/j.molp.2020.12.003

PubMed Abstract | Crossref Full Text | Google Scholar

Teng, S., Keurentjes, J., Bentsink, L., Koornneef, M., and Smeekens, S. (2005). Sucrose-specific induction of anthocyanin biosynthesis in arabidopsis requires the MYB75/PAP1 gene. Plant Physiol. 139, 1840–1852. doi: 10.1104/pp.105.066688

PubMed Abstract | Crossref Full Text | Google Scholar

Thakur, V. (2024). “RNA-seq Data Analysis for Differential Gene Expression Using HISAT2–StringTie–Ballgown Pipeline,” in Transcriptome Data Analysis. Ed. Azad, R. K. (Springer US, New York, NY), 101–113.

PubMed Abstract | Google Scholar

Warwick, S. I. (2011). “Brassicaceae in Agriculture,” in Genetics and Genomics of the Brassicaceae. Eds. Schmidt, R. and Bancroft, I. (Springer New York, New York, NY), 33–65.

Google Scholar

Xing, M., Xin, P., Wang, Y., Han, C., Lei, C., Huang, W., et al. (2024). A negative feedback regulatory module comprising R3-MYB repressor MYBL2 and R2R3-MYB activator PAP1 fine-tunes high light-induced anthocyanin biosynthesis in Arabidopsis. J. Exp. Bot. 75, 7381–7400. doi: 10.1093/jxb/erae399

PubMed Abstract | Crossref Full Text | Google Scholar

Zhang, F., Gonzalez, A., Zhao, M., Payne, C. T., and Lloyd, A. (2003). A network of redundant bHLH proteins functions in all TTG1-dependent pathways of Arabidopsis. Development 130, 4859–4869. doi: 10.1242/dev.00681

PubMed Abstract | Crossref Full Text | Google Scholar

Zhang, N. and Jing, P. (2022). Anthocyanins in Brassicaceae: composition, stability, bioavailability, and potential health benefits. Crit. Rev. Food Sci. Nutr. 62, 2205–2220. doi: 10.1080/10408398.2020.1852170

PubMed Abstract | Crossref Full Text | Google Scholar

Zhang, L., Liang, J., Chen, H., Zhang, Z., Wu, J., and Wang, X. (2023). A near-complete genome assembly of Brassica rapa provides new insights into the evolution of centromeres. Plant Biotechnol. J. 21, 1022–1032. doi: 10.1111/pbi.14015

PubMed Abstract | Crossref Full Text | Google Scholar

Zhang, X., Zhang, K., Wu, J., Guo, N., Liang, J., Wang, X., et al. (2020). QTL-seq and sequence assembly rapidly mapped the gene brMYBL2.1 for the purple trait in brassica rapa. Sci. Rep. 10 (1), 2328. doi: 10.1038/s41598-020-58916-5

PubMed Abstract | Crossref Full Text | Google Scholar

Zhao, L., Gao, L., Wang, H., Chen, X., Wang, Y., Yang, H., et al. (2013). The R2R3-MYB, bHLH, WD40, and related transcription factors in flavonoid biosynthesis. Funct. Integr. Genomics 13, 75–98. doi: 10.1007/s10142-012-0301-4

PubMed Abstract | Crossref Full Text | Google Scholar

Zhao, X., Zhang, Y., Long, T., Wang, S., and Yang, J. (2022). Regulation mechanism of plant pigments biosynthesis: anthocyanins, carotenoids, and betalains. Metabolites 12, 871. doi: 10.3390/metabo12090871

PubMed Abstract | Crossref Full Text | Google Scholar

Zuluaga, D. L., Gonzali, S., Loreti, E., Pucciariello, C., Degl’Innocenti, E., Guidi, L., et al. (2008). Arabidopsis thaliana MYB75/PAP1 transcription factor induces anthocyanin production in transgenic tomato plants. Funct. Plant Biol. 35, 606. doi: 10.1071/FP08021

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: MYBL2, Brassicaceae, anthocyanins, expression pattern, Brassica crops

Citation: Wang C, Zhang Q, Liu Y, Shen W, Wan S, Chen L, Tan C and Chen D (2025) Genome-wide identification of MYBL2 in Brassicaceae, with a focus on the expression pattern of regulating anthocyanin synthesis in Brassica crops. Front. Plant Sci. 16:1629560. doi: 10.3389/fpls.2025.1629560

Received: 16 May 2025; Accepted: 13 June 2025;
Published: 01 July 2025.

Edited by:

Daojun Yuan, Huazhong Agricultural University, China

Reviewed by:

Chaobo Tong, Chinese Academy of Agricultural Sciences, China
Xin He, Hunan Agricultural University, China
Jia-Ming Song, Southwest University, China

Copyright © 2025 Wang, Zhang, Liu, Shen, Wan, Chen, Tan and Chen. 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: Chen Tan, dGFuY2hlbjIwMjBAZ25udS5lZHUuY24=; Daozong Chen, Y2hlbmRhb3pvbmc2MUAxNjMuY29t

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.