Stable Quantitative Trait Locus Analysis for Protein and Sulfur-Containing Amino Acid Content of Seed in Soybean (Glycine max L.)
摘要
Soybean (Glycine max L. Merr.) is one of the most important foods for humans and animals, but the lack of sulfur-containing amino acids limits its nutritional value. In this study, we used the F2 population resulting from the cross between Changjiangchun 2 (CJC2) and Yushuxian 2 (YSX2) as the mapping population. The stable quantitative trait locus was detected in the 2023CQ (Chongqing), 2023YN (Yunnan), 2024CQ, and BLUP (best linear unbiased prediction) based on high-density genetic map. Based on the published genetic map of our previous study, a new genetic map was constructed, containing 447 SSR (simple sequence repeat) markers and 228 InDel (insertion-deletion) markers, with an average distance of 2.76 cM and a total length of 1866.1 cM. A total of 21 QTLs (quantitative trait loci) and two QTL clusters were identified, and three QTLs were detected in two environments and BLUP. Through GO (gene ontology) enrichment, gene annotation, and EMS-mutations to validate in four regions (qLoci06.1, qLoci10.1, qPRO02.1, and qPRO14.1), seven candidate genes related to soybean protein and sulfur-containing amino acid content were predicted. This study lays a foundation for exploring the regulatory mechanism of soybean protein and sulfur-containing amino acid content and is helpful for the innovation of soybean germplasm resources.