Identification of major quantitative trait loci and candidate genes for seed weight in soybean

作者：Mengge Xu, Keke Kong, Long Miao, Jianbo He, Tengfei Liu, Kai Zhang, Xiuli Yue, Ting Jin, Junyi Gai, Yan Li · 发表于：Theoretical and Applied Genetics · 年份：2023 · DOI：10.1007/s00122-023-04299-w · 被引用次数：22 · 研究领域：Soybean genetics and cultivation、Legume Nitrogen Fixing Symbiosis、Plant nutrient uptake and metabolism

KEY MESSAGE: Four major quantitative trait loci for 100-seed weight were identified in a soybean RIL population under five environments, and the most likely candidate genes underlying these loci were identified. Seed weight is an important target of soybean breeding. However, the genes underlying the major quantitative trait loci (QTL) controlling seed weight remain largely unknown. In this study, a soybean population of 300 recombinant inbred lines (RILs) derived from a cross between PI595843 (PI) and WH was used to map the QTL and identify candidate genes for seed weight. The RIL population was genotyped through whole genome resequencing, and phenotyped for 100-seed weight under five environments. A total of 38 QTL were detected, and four major QTL, each explained at least 10% of the variation in 100-seed weight, were identified. Six candidate genes within these four major QTL regions were identified by analyses of their tissue expression patterns, gene annotations, and differential gene expression levels in soybean seeds during four developmental stages between two parental lines. Further sequence variation analyses revealed a C to T substitution in the first exon of the Glyma.19G143300, resulting in an amino acid change between PI and WH, and thus leading to a different predicted kinase domain, which might affect its protein function. Glyma.19G143300 is highly expressed in soybean seeds and encodes a leucine-rich repeat receptor-like protein kinase (LRR-RLK). Its predicte...