Brassica species include important oil crops and vegetables in the world. The R2R3-MYB gene participates in a variety of plant functions, including the activation or inhibition of anthocyanin biosynthesis. Although previous studies have reported its phylogenetic relationships, gene structures, and expression patterns in Arabidopsis, the number and sequence variation of this gene family in Brassica crops and its involvement in the natural quantitative variation in anthocyanin biosynthesis regulation are still largely unknown. In this study, by using whole genome sequences and comprehensive genome-wide comparative analysis among the six cultivated Brassica species, 2120 R2R3-MYB genes were identified in six Brassica species, in total These R2R3-MYB genes were phylogenetically clustered into 12 groups. The R2R3-MYB family between A and C subgenomes showed better collinearity than between B and C and between A and B. From comparing transcriptional changes of five Brassica species with the purple and green leaves for the detection of the R2R3-MYB genes associated with anthocyanin biosynthesis, 7 R2R3-MYB genes were co-differentially expressed. The promoter and structure analysis of these genes showed that some variations between non-coding region, but they were highly conserved at the protein level and spatial structure. Co-expression analysis of anthocyanin-related genes and R2R3-MYBs indicated that MYB90 was strongly co-expressed with TT8, and they were co-expressed with structural genes F3H, LDOX, ANS and UF3GT at the same time. These results further clarified the roles of the R2R3-MYBs for leaf coloration in Brasica species, which provided new insights into the functions of the R2R3-MYB gene family in Brasica species.

Although rapeseed (Brassica napus L.) mutant forming multiple siliques was morphologically described and considered to increase the silique number per plant, an important agronomic trait in this crop, the molecular mechanism underlying this beneficial trait remains unclear. Here, we combined bulked-segregant analysis (BSA) and whole genome re-sequencing (WGR) to map the genomic regions responsible for the multi-silique trait using two pools of DNA from the near-isogenic lines (NILs) zws-ms (multi-silique) and zws-217 (single-silique). We used the Euclidean Distance (ED) to identify genomic regions associated with this trait based on both SNPs and InDels. We also conducted transcriptome sequencing to identify differentially expressed genes (DEGs) between zws-ms and zws-217. Genetic analysis using the ED algorithm identified three SNP- and two InDel-associated regions for the multi-silique trait. Two highly overlapped parts of the SNP- and InDel-associated regions were identified as important intersecting regions, which are located on chromosomes A09 and C08, respectively, including 2044 genes in 10.20-MB length totally. Transcriptome sequencing revealed 129 DEGs between zws-ms and zws-217 in buds, including 39 DEGs located in the two abovementioned associated regions. We identified candidate genes involved in multi-silique formation in rapeseed based on the results of functional annotation. This study identified the genomic regions and candidate genes related to the multi-silique trait in rapeseed.

Gene/genome dosage balance is an essential evolutionary mechanism for organisms to ensure a normal function, but the underlying causes of dosage-imbalance regulation remain poorly understood. Herein, the serial Brassica hybrids/polyploids (AC, AAC, CCA, CCAA) with different copies of A and C subgenomes from the same two parents of B. rapa and B. oleracea were synthesized to investigate the effects of genome dosages on gene expressions and interactions by using RNA-Seq. The expression changes of A- and C-subgenome genes were consistent with dosage alterations. Dosage-dependent and -independent genes were grouped according to the correlations between dosage variations and gene expressions. Expression levels of dosage-dependent genes were strongly correlated with dosage changes and mainly contributed to dosage effects, while those of dosage-independent genes gave weak correlations with dosage variations and mostly facilitated dosage compensation. More protein–protein interactions were detected for dosage-independent genes than dosage-dependent ones, as predicted by the dosage balance hypothesis. Dosage-dependent genes more likely impacted the expressions by trans effects, whereas dosage-independent genes preferred to play by cis effects. Furthermore, dosage-dependent genes were mainly associated with the basic biological processes to maintain the stability of the growth and development, while dosage-independent genes were more enriched in the stress response related processes to accelerate adaptation. The present comprehensive analysis of gene expression dependent/independent on dosage alterations in Brassica polyploids provided new insights into gene/genome dosage-imbalance regulation of gene expressions.