High‐density genetic map using whole‐genome resequencing for fine mapping and candidate gene discovery for disease resistance in peanut

数量性状位点 生物 候选基因 遗传学 上位性 基于家系的QTL定位 基因定位 遗传连锁 人口 基因座(遗传学) 基因 染色体 社会学 人口学
作者
Gaurav Agarwal,Josh Clevenger,Manish K. Pandey,Hui Wang,Yaduru Shasidhar,Ye Chu,Jake C. Fountain,Divya Choudhary,A. K. Culbreath,Xin Liu,Guodong Huang,Xingjun Wang,Rupesh Deshmukh,C. Corley Holbrook,David J. Bertioli,Peggy Ozias‐Akins,Scott A. Jackson,Rajeev K. Varshney,Baozhu Guo
出处
期刊:Plant Biotechnology Journal [Wiley]
卷期号:16 (11): 1954-1967 被引量:112
标识
DOI:10.1111/pbi.12930
摘要

Whole-genome resequencing (WGRS) of mapping populations has facilitated development of high-density genetic maps essential for fine mapping and candidate gene discovery for traits of interest in crop species. Leaf spots, including early leaf spot (ELS) and late leaf spot (LLS), and Tomato spotted wilt virus (TSWV) are devastating diseases in peanut causing significant yield loss. We generated WGRS data on a recombinant inbred line population, developed a SNP-based high-density genetic map, and conducted fine mapping, candidate gene discovery and marker validation for ELS, LLS and TSWV. The first sequence-based high-density map was constructed with 8869 SNPs assigned to 20 linkage groups, representing 20 chromosomes, for the 'T' population (Tifrunner × GT-C20) with a map length of 3120 cM and an average distance of 1.45 cM. The quantitative trait locus (QTL) analysis using high-density genetic map and multiple season phenotyping data identified 35 main-effect QTLs with phenotypic variation explained (PVE) from 6.32% to 47.63%. Among major-effect QTLs mapped, there were two QTLs for ELS on B05 with 47.42% PVE and B03 with 47.38% PVE, two QTLs for LLS on A05 with 47.63% and B03 with 34.03% PVE and one QTL for TSWV on B09 with 40.71% PVE. The epistasis and environment interaction analyses identified significant environmental effects on these traits. The identified QTL regions had disease resistance genes including R-genes and transcription factors. KASP markers were developed for major QTLs and validated in the population and are ready for further deployment in genomics-assisted breeding in peanut.
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