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
作者： Zhang, Hui 1 ; Wang, Ming Li 2 ; Dang, Phat 3 ; Jiang, Tao 1 ; Zhao, Shuzhen 1 ; Lamb, Marshall 3 ; Chen, Charles 1 ;
作者机构： 1.Auburn Univ, Dept Crop Soil & Environm Sci, Auburn, AL 36849 USA
2.USDA ARS, Plant Genet Resources Conservat, Griffin, GA 30223 USA
3.USDA ARS, Natl Peanut Res Lab, Dawson, GA 39842 USA
4.Shandong Acad Agr Sci, Jinan 250100, Shandong, Peoples R China
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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