Identification and Mapping of QTLs for Sulfur-Containing Amino Acids in Soybean (Glycine max L.)
Zhong Yiwang, Wen Ke, Li Xingang, Wang Shasha, Li Sansan, Zeng Yuhong, Cheng Yanbo, Ma Qibin, Nian Hai
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
DOI: 10.1021/acs.jafc.2c05896
摘要
Soybean is a major source of high-quality protein for humans and animals. The content of sulfur-containing amino acids (SAA) in soybean is insufficient, which has become the main factor limiting soybean nutrition. In this study, we used the high-density genetic maps derived from Guizao 1 and Brazil 13 to evaluate the quantitative trait loci of cysteine (Cys), methionine (Met), SAA, glycinin (7S), beta-conglycinin (11S), ratio of glycinin to beta-conglycinin (RGC), and protein content (PC). In genetic map linkage analysis, the major and stable 44 QTLs were detected, which shared nine bin intervals. Among them, the bin interval (bin157-bin160) on chromosome 5 was detected in multiple environments as a stable QTL, which was linked to 11S, 7S, RGC, and SSA. Based on the analysis of bioinformatics and RNA-sequencing data, 16 differentially expressed genes (DEGs) within these QTLs were selected as candidate genes. These results will help to elucidate the genetic mechanism of soybean SAA-related traits and provide the basis for the gene mining of sulfur-containing amino acids.
