Song Jian, Xu Ruixin, Guo Qingyuan, Wu Caiyu, Li Yinghui, Wang Xuewen, Wang Jun, Qiu Li-Juan
Yangtze University, Jingzhou, 434025 Hubei P.R. China.
The National Key Facility for Crop Gene Resources and Genetic Improvement (NFCRI)/Key Laboratory of Crop Gene Resource and Germplasm Enhancement (MOA)/Key Laboratory of Soybean Biology (Beijing) (MOA), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081 China.
Mol Breed. 2023 Aug 31;43(9):71. doi: 10.1007/s11032-023-01414-z. eCollection 2023 Sep.
The phenotypic color of seeds is a complex agronomic trait and has economic and biological significance. The genetic control and molecular regulation mechanisms have been extensively studied. Here, we used a multi-omics strategy to explore the color formation in soybean seeds at a big data scale. We identified 13 large quantitative trait loci (QTL) for color with bulk segregating analysis in recombinant inbreeding lines. GWAS analysis of colors and decomposed attributes in 763 germplasms revealed associated SNP sites perfectly falling in five major QTL, suggesting inherited regulation on color during natural selection. Further transcriptomics analysis before and after color accumulation revealed 182 differentially expression genes (DEGs) in the five QTL, including known genes , , and ' involved in pigment accumulation. More DEGs with consistently upregulation or downregulation were identified as shared regulatory genes for two or more color formations while some DEGs were only for a specific color formation. For example, five upregulated DEGs in QTL were in flavonoid biosynthesis responsible for black and brown seed. The DEG () was identified in the purple seed only, which encodes gibberellin 2-beta-dioxygenase in the metabolism of colorful terpenoids. The candidate genes are involved in flavonoid biosynthesis, transcription factor regulation, gibberellin and terpenoid metabolism, photosynthesis, ascorbate and aldarate metabolism, and lipid metabolism. Seven differentially expressed transcription factors were also speculated that may regulate color formation, including a known MYB. The finds expand QTL and gene candidates for color formation, which could guide to breed better cultivars with designed colors.
The online version contains supplementary material available at 10.1007/s11032-023-01414-z.
种子的表型颜色是一个复杂的农艺性状,具有经济和生物学意义。其遗传控制和分子调控机制已得到广泛研究。在此,我们采用多组学策略,在大数据规模下探索大豆种子颜色的形成。我们通过重组自交系中的混合分组分析法,鉴定出13个控制颜色的大效应数量性状位点(QTL)。对763份种质资源的颜色及其分解属性进行全基因组关联研究(GWAS)分析,发现相关单核苷酸多态性(SNP)位点完美地落在五个主要QTL中,表明在自然选择过程中颜色存在遗传调控。进一步对颜色积累前后进行转录组学分析,在这五个QTL中发现了182个差异表达基因(DEG),包括参与色素积累的已知基因、和。更多持续上调或下调的DEG被鉴定为两种或更多颜色形成的共享调控基因,而一些DEG仅针对特定的颜色形成。例如,QTL中的五个上调DEG参与类黄酮生物合成,负责黑色和棕色种子的形成。DEG()仅在紫色种子中被鉴定出来,它在彩色萜类化合物的代谢中编码赤霉素2-β-双加氧酶。候选基因参与类黄酮生物合成、转录因子调控、赤霉素和萜类代谢、光合作用、抗坏血酸和醛糖代谢以及脂质代谢。还推测有七个差异表达的转录因子可能调控颜色形成,包括一个已知的MYB。这些发现扩展了颜色形成的QTL和候选基因,可为培育具有特定颜色的优良品种提供指导。
在线版本包含可在10.1007/s11032-023-01414-z获取的补充材料。