Identification of potential QTLs and genes associated with seed composition traits in peanut (Arachis hypogaea L.) using GWAS and RNA-Seq analysis
文献类型： 外文期刊
第一作者： Zhang, Hui
作者： Zhang, Hui;Jiang, Tao;Zhao, Shuzhen;Chen, Charles;Wang, Ming Li;Dang, Phat;Lamb, Marshall;Zhao, Shuzhen
作者机构：
关键词： Peanuts; GWAS; Seed composition traits; RNA-Seq; Genetics
期刊名称：GENE （ 影响因子：3.688； 五年影响因子：3.329 ）
ISSN： 0378-1119
年卷期： 2021 年 769 卷
页码：
收录情况： SCI
摘要： Cultivated peanut (Arachis hypogaea L.) is a major oilseed crop providing edible oil and protein. Oil quality is determined by fatty acid composition including the ratio of oleic acid (C18:1) and linoleic acid (C18:2). A genome-wide association study with 13,382 single nucleotide polymorphisms (SNPs) was conducted to investigate the genetics basis of oil, protein, eight fatty acid concentrations, and O/L ratio (ratio of oleic and linoleic acid) using a diverse panel of 120 genotypes mainly selected from the U.S. peanut mini core collection grown in two years. A total of 178 significant quantitative trait loci (QTLs) associated with those seed composition traits were identified with phenotypic variation explained (PVE) from 18.35% to 27.56%. RNA-Seq analysis identified 282 DEGs (differentially expressed genes) within the 1 Mb of the significant QTLs for seed composition traits. Among those 282 genes, sixteen candidate genes for seed fatty acid metabolism and protein synthesis were screened according to the gene functions.
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