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  • Title: Comparative selective signature analysis and high-resolution GWAS reveal a new candidate gene controlling seed weight in soybean.
    Author: Zhang W, Xu W, Zhang H, Liu X, Cui X, Li S, Song L, Zhu Y, Chen X, Chen H.
    Journal: Theor Appl Genet; 2021 May; 134(5):1329-1341. PubMed ID: 33507340.
    Abstract:
    We detected a QTL qHSW-16 undergone strong selection associated with seed weight and identified a novel candidate gene controlling seed weight candidate gene for this major QTL by qRT-PCT. Soybean [Glycine max (L.) Merr.] provides more than half of the world's oilseed production. To expand its germplasm resources useful for breeding increased yield and oil quality cultivars, it is necessary to resolve the diversity and evolutionary history of this crop. In this work, we resequenced 283 soybean accessions from China and obtained a large number of high-quality SNPs for investigation of the population genetics that underpin variation in seed weight and other agronomic traits. Selective signature analysis detected 78 (~ 25.0 Mb) and 39 (~ 22.60 Mb) novel putative selective signals that were selected during soybean domestication and improvement, respectively. Genome-wide association study (GWAS) identified five loci associated with seed weight. Among these QTLs, qHSW-16, overlapped with the improvement-selective region on chromosome 16, suggesting that this QTL may be underwent strong selection during soybean improvement. Of the 18 candidate genes in qHSW-16, only SoyZH13_16G122400 showed higher expression levels in a large seed variety compared to a small seed variety during seed development. These results identify SoyZH13_16G122400 as a novel candidate gene controlling seed weight and provide foundational insights into the molecular targets for breeding improvement of seed weight and potential seed yield in soybean.
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