Zhengzhou Fruit Research Institute, Chinese Academy of Agricultural Sciences, Zhengzhou, China.
Key Laboratory of Horticultural Plant Biology (MOE), College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China.
BMC Plant Biol. 2020 Jun 30;20(1):302. doi: 10.1186/s12870-020-02517-x.
Berry color is an important trait in grapes and is mainly determined by the anthocyanin content and composition. To further explore the coloring mechanism of grape berries, the F1 population of Vitis vinifera 'Red Globe' × 'Muscat Hamburg' was used to map the color locus, and transcriptome analysis was performed to assist in screening candidate genes.
A total of 438,407 high-quality single-nucleotide polymorphisms (SNPs) were obtained from whole-genome resequencing (WGS) of the population, and 27,454 SNPs were selected to construct a high-density genetic map. The selected SNPs were clustered into 19 linkage groups (LGs) spanning a genetic distance of 1442.638 cM. Berry color was evaluated by color grade, chromatic aberration, total anthocyanin content and anthocyanin composition. The Pearson correlation coefficients of these phenotypes in 2017 and 2018 were significant at the 0.01 level. The major color locus of MYBA1 and MYBA2 on LG2 was identified, explaining between 26 and 63.6% of all phenotypic variance. Furthermore, 9 additional QTLs with smaller effects were detected on Chr2, Chr4, Chr6, Chr11 and Chr17. Combined with the gene annotation and RNA-seq data, multiple new candidate genes were selected from the above QTLs.
These results indicated that grape berry color is a quantitative trait controlled by a major color locus and multiple minor loci. Though the major color locus was consistent with previous studies, several minor QTLs and candidate genes associated with grape berry color and anthocyanin accumulation were identified in this study. And the specific regulatory mechanism still needs to be further explored.
浆果颜色是葡萄的一个重要特征,主要由花色苷含量和组成决定。为了进一步探究葡萄浆果着色的机理,利用‘红地球’ב汉堡麝香’的 F1 群体进行了花色苷位点的作图,并进行了转录组分析,辅助筛选候选基因。
对群体进行全基因组重测序(WGS)后,共获得 438407 个高质量的单核苷酸多态性(SNP),从中选择 27454 个 SNP 构建了高密度遗传图谱。所选 SNP 聚类为 19 个连锁群(LG),遗传距离为 1442.638 cM。采用颜色等级、色差值、总花色苷含量和花色苷组成对浆果颜色进行评价。2017 年和 2018 年这些表型的 Pearson 相关系数在 0.01 水平上显著。在 LG2 上鉴定出 MYBA1 和 MYBA2 的主要颜色位点,解释了所有表型变异的 26%到 63.6%。此外,在 Chr2、Chr4、Chr6、Chr11 和 Chr17 上还检测到 9 个具有较小效应的附加 QTL。结合基因注释和 RNA-seq 数据,从上述 QTL 中选择了多个新的候选基因。
这些结果表明,葡萄浆果颜色是由一个主色位点和多个微效位点控制的数量性状。尽管主色位点与先前的研究一致,但本研究还鉴定了与葡萄浆果颜色和花色苷积累相关的几个微效 QTL 和候选基因。具体的调控机制仍需进一步探索。