Major genetic locus with pleiotropism determined seed-related traits in cultivated and wild soybeans

• Published in: Theoretical and applied genetics 2023-06, Vol.136 (6), p.125-125, Article 125
• Main Authors: Yuan, Baoqi, Qi, Guangxun, Yuan, Cuiping, Wang, Yumin, Zhao, Hongkun, Li, Yuqiu, Wang, Yingnan, Dong, Lingchao, Dong, Yingshan, Liu, Xiaodong
• Format: Article
• Language: English
• Subjects: Agricultural research; Agriculture; Biochemistry; Biomedical and Life Sciences; Biotechnology; Chromosome Mapping; Crop yield; Cultivars; Domestication; Genetic aspects; Genetic diversity; Glycine max - genetics; Glycine max - metabolism; Glycine soja; Life Sciences; Methods; Original Article; Physiological aspects; Plant Biochemistry; Plant Breeding; Plant Breeding/Biotechnology; Plant Genetics and Genomics; Pleiotropy; Quantitative Trait Loci; Seeds - genetics; Seeds - metabolism; Soybean; Soybeans; Vegetable seed; Wild plants, Edible
• ISSN: 0040-5752; 1432-2242
• DOI: 10.1007/s00122-023-04358-2

Key message Here, a novel pleiotropic QTL qSS14 simultaneously regulating four seed size traits and two consistently detected QTLs qSW17 and qSLW02 were identified across multiple years. Seed-related traits were the key agronomic traits that have been artificially selected during the domestication of wild soybean. Identifying the genetic loci and genes that regulate seed size could clarify the genetic variations in seed-related traits and provide novel insights into high-yield soybean breeding. In this study, we used a high-density genetic map constructed by F 10 RIL populations from a cross between Glycine max and Glycine soja to detect additive QTLs for seven seed-related traits over the last three years. As a result, we identified one novel pleiotropic QTL, qSS14, that simultaneously controlled four seed size traits (100-seed weight, seed length, seed width, and seed thickness) and two consistently detected QTLs, qSW17 , and qSLW02 , in multiple years of phenotypic data. Furthermore, we predicted two, two and three candidate genes within these three critical loci based on the parental resequencing data and gene function annotations. And the relative expression of four candidate genes GLYMA_14G155100 , GLYMA_17G061000 , GLYMA_02G273100 , and GLYMA_02G273300 showed significant differences among parents and the extreme materials through qRT-PCR analysis. These findings could facilitate the determination of beneficial genes in wild soybean and contribute to our understanding of the soybean domestication process.