Rapid Mining of Candidate Genes for Verticillium Wilt Resistance in Cotton Based on BSA-Seq Analysis

• Published in: Frontiers in plant science 2021-10, Vol.12, p.703011-703011
• Main Authors: Cui, Yanli, Ge, Qun, Zhao, Pei, Chen, Wei, Sang, Xiaohui, Zhao, Yunlei, Chen, Quanjia, Wang, Hongmei
• Format: Article
• Language: English
• Subjects: BSA-seq; Plant Science; QTL; resistance gene; upland cotton; verticillium wilt
• ISSN: 1664-462X; 1664-462X
• DOI: 10.3389/fpls.2021.703011

Cotton is a globally important cash crop. Verticillium wilt (VW) is commonly known as “cancer” of cotton and causes serious loss of yield and fiber quality in cotton production around the world. Here, we performed a BSA-seq analysis using an F 2:3 segregation population to identify the candidate loci involved in VW resistance. Two QTLs (qvw-D05-1 and qvw-D05-2) related to VW resistance in cotton were identified using two resistant/susceptible bulks from the F 2 segregation population constructed by crossing the resistant cultivar ZZM2 with the susceptible cultivar J11. A total of 30stop-lost SNPs and 42 stop-gained SNPs, which included 17 genes, were screened in the qvw-D05-2 region by SnpEff analysis. Further analysis of the transcriptome data and qRT-PCR revealed that the expression level of Ghir_D05G037630 (designated as GhDRP ) varied significantly at certain time points after infection with V. dahliae . The virus-induced gene silencing of GhDRP resulted in higher susceptibility of the plants to V. dahliae than the control, suggesting that GhDRP is involved in the resistance to V. dahlia infection. This study provides a method for rapid mining of quantitative trait loci and screening of candidate genes, as well as enriches the genomic information and gene resources for the molecular breeding of disease resistance in cotton.