Identification of Soybean Genes Related to Soybean Seed Protein Content Based on Quantitative Trait Loci Collinearity Analysis

Identification of Soybean Genes Related to Soybean Seed Protein Content Based on Quantitative Trait Loci Collinearity Analysis
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基于定量性状基因座共线性分析鉴定与大豆种子蛋白含量相关的大豆基因。

DOI:
10.1021/acs.jafc.8b04602
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发表时间:
2019-01-09
影响因子:
6.1
通讯作者:
Qi, Zhaoming
Qi, Zhaoming
中科院分区:
农林科学1区
文献类型:
--
作者:
Huang, Shiyu;Yu, Jingyao;Qi, Zhaoming

文献摘要

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通过提高甘氨酸比例来提高大豆种子的蛋白质含量,对大豆育种和食品加工具有重要意义;因此,整合不同数量性状位点(qtl)具有重要意义。在本研究中,我们研究了种子蛋白qtl的共线性。共鉴定出192个共线蛋白qtl,形成6个热点区域。两个最重要的区域以种子蛋白36-10和种子蛋白36-20为枢纽节点。利用染色体片段代换系(CSSL)群体进行QTL验证,鉴定出6个具有共线QTL的CSSL材料。分析了5种蛋白质和甘氨酸含量高于复发亲本的材料。从QTL热点区间共检测到13个与种子蛋白相关的候选基因,其中8个在成熟大豆种子中高表达。这些结果为分子辅助选择(MAS)和大豆产品品质改良提供了新的分析方法。
Increasing the protein content of soybean seeds through a higher ratio of glycinin is important for soybean breeding and food processing; therefore, the integration of different quantitative trait loci (QTLs) is of great significance. In this study, we investigated the collinearity of seed protein QTLs. We identified 192 collinear protein QTLs that formed six hotspot regions. The two most important regions had seed protein 36-10 and seed protein 36-20 as hub nodes. We used a chromosome segment substitution line (CSSL) population for QTL validation and identified six CSSL materials with collinear QTLs. Five materials with higher protein and glycinin contents in comparison to the recurrent parent were analyzed. A total of 13 candidate genes related to seed protein from the QTL hotspot intervals were detected, 8 of which had high expression in mature soybean seeds. These results offer a new analysis method for molecular-assisted selection (MAS) and improvement of soybean product quality.