Li Xi, Tan Pingting, Xiong Guoxi, Ma Ronghan, Gao Weiran, Jiang Aohua, Liu Jiaqi, Du Chengzhang, Zhang Jijun, Zhang Xiaochun, Zhang Li, Yi Zelin, Fang Xiaomei, Zhang Jian
College of Agronomy and Biotechnology, Southwest University, Chongqing 400715, China.
Institute of Specialty Crop, Chongqing Academy of Agricultural Sciences, Chongqing 402160, China.
Plants (Basel). 2024 Jul 23;13(15):2020. doi: 10.3390/plants13152020.
Soybean, a primary vegetable protein source, boasts favorable amino acid profiles; however, its composition still falls short of meeting human nutritional demands. The soybean amino acid content is a quantitative trait controlled by multiple genes. In this study, an F population of 186 individual plants derived from the cross between ChangJiangChun2 and JiYu166 served as the mapping population. Based on the previously published genetic map of our lab, we increased the density of the genetic map and constructed a new genetic map containing 518 SSR (simple sequence repeats) markers and 64 InDel (insertion-deletion) markers, with an average distance of 5.27 cm and a total length of 2881.2 cm. The content of eight essential amino acids was evaluated in the F, F, and BLUP (best linear unbiased prediction). A total of 52 QTLs (quantitative trait loci) were identified, and 13 QTL clusters were identified, among which loci02.1 and loci11.1 emerged as stable QTL clusters, exploring candidate genes within these regions. Through GO enrichment and gene annotation, 16 candidate genes associated with soybean essential amino acid content were predicted. This study would lay the foundation for elucidating the regulatory mechanisms of essential amino acid content and contribute to germplasm innovation in soybeans.
大豆作为主要的植物蛋白来源,具有良好的氨基酸谱;然而,其组成仍不足以满足人类的营养需求。大豆氨基酸含量是一个受多个基因控制的数量性状。在本研究中,以长江春2号和吉育166杂交产生的186个单株的F群体作为作图群体。基于我们实验室先前发表的遗传图谱,我们增加了遗传图谱的密度,构建了一个新的遗传图谱,包含518个SSR(简单序列重复)标记和64个InDel(插入缺失)标记,平均距离为5.27厘米,总长度为2881.2厘米。在F、F和BLUP(最佳线性无偏预测)中评估了八种必需氨基酸的含量。共鉴定出52个QTL(数量性状位点),并鉴定出13个QTL簇,其中位点02.1和位点11.1是稳定的QTL簇,在这些区域内探索候选基因。通过GO富集和基因注释,预测了16个与大豆必需氨基酸含量相关的候选基因。本研究将为阐明必需氨基酸含量的调控机制奠定基础,并有助于大豆种质创新。