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.

中文翻译：

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基于数量性状位点共线性分析的大豆种子蛋白质含量相关基因的鉴定

通过增加大豆球蛋白的比例来增加大豆种子的蛋白质含量对大豆育种和食品加工非常重要。因此，整合不同数量性状基因座（QTL）具有重要意义。在这项研究中，我们调查了种子蛋白QTL的共线性。我们鉴定出形成六个热点区域的192共线蛋白质QTL。两个最重要的区域具有种子蛋白36-10和种子蛋白36-20作为中心节点。我们使用染色体片段替代系（CSSL）群体进行QTL验证，并鉴定了六种具有共线QTL的CSSL材料。分析了五种材料，其蛋白质和大豆球蛋白的含量均高于轮回亲本。从QTL热点时间间隔中总共检测到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）和提高大豆产品质量提供了一种新的分析方法。