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

Huang, Shiyu, Yu, Jingyao, Li, Yingying, Wang, Jingxin, Wang, Xinyu, Qi, Huidong, Xu, Mingyue, Qin, Hongtao, Yin, Zhengong, Mei, Hongyao, Chang, Huilin, Gao, Hongxiu, Liu, Shanshan, Zhang, Zhenguo, Zhang, Shuli, Zhu, Rongsheng, Liu, Chunyan, Wu, Xiaoxia, Jiang, Hongwei, Hu, Zhenbang, Xin, Dawei, Chen, Qingshan, Qi, Zhaoming
Journal of agricultural and food chemistry 2018 v.67 no.1 pp. 258-274
breeding, chromosomes, food processing, genes, glycinin, product quality, protein content, quantitative trait loci, seeds, soybeans, substitution lines
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.