QTL Mapping for Bacterial Wilt Resistance in Eggplant via Bulked Segregant Analysis Using Genotyping by Sequencing
文献类型： 外文期刊
作者： Xiao, Xi'ou 1 ; Lin, Wenqiu 1 ; Nie, Heng 1 ; Duan, Zhe 1 ; Liu, Ke 1 ;
作者机构： 1.Chinese Acad Trop Agr Sci, South Subtrop Crop Res Inst, Zhanjiang 524091, Peoples R China
2.Minist Agr & Rural Affairs, Key Lab Trop Fruit Biol, Zhanjiang 524091, Peoples R China
3.Key Lab Hainan Prov Postharvest Physiol & Technol, Zhanjiang 524091, Peoples R China
4.Zhanjiang Key Lab Trop Crop Genet Improvement, Zhanjiang 524091, Peoples R China
5.Natl Key Lab Trop Crop Breeding, Sanya 572024, Peoples R China
6.Yunnan Agr Univ, Coll Trop Crop Sci, Kunming 665099, Peoples R China
7.South China Agr Univ, Coll Hort, Guangzhou 510642, Peoples R China
关键词： eggplant; bacterial wilt; BSA-seq; RNA-seq
期刊名称：AGRONOMY-BASEL （ 影响因子：3.3； 五年影响因子：3.7 ）
ISSN：
年卷期： 2024 年 14 卷 6 期
页码：
收录情况： SCI
摘要： The bacterial wilt disease caused by Ralstonia solanacearum is a significant threat to eggplant production. Breeding and promoting resistant varieties is one of the most effective methods to manage bacterial wilt. Conducting QTL (quantitative trait locus) mapping of resistant genes can substantially enhance the breeding of plant resistance to bacterial wilt. In this study, a population of 2200 F2 individuals derived from resistant and susceptible materials was utilized to establish extreme resistance and susceptibility pools. Following resequencing analysis of the parents and extreme pools, the QTL were examined using the DEEP-BSA software and QTLseqr R package (version 0.7.5.2). The results revealed that the detection of 10 QTL sites on chromosomes 5, 8, 9, and 11 by the five algorithms of the DEEP-BSA software. Additionally, the candidate region of 62 Mb-72 Mb on chromosome 5 was identified in all five algorithms of the DEEP-BSA software, as well as by the QTLseqr R package. Subsequent gene annotation uncovered 276 genes in the candidate region of 62 Mb-72 Mb on chromosome 5. Additionally, RNA-seq results indicated that only 13 genes had altered expression levels following inoculation with R. solanacearum in the resistant materials. Based on the expression levels, SMEL4_05g015980.1 and SMEL4_05g016110.1 were identified as candidate genes. Notably, SNP annotation identified a non-synonymous mutation in the exonic region of SMEL4_05g015980.1 and a variant in the promoter region of SMEL4_05g016110.1. The research findings have practical significance for the isolation of bacterial wilt resistance genes in eggplant and the development of resistance to bacterial wilt varieties in eggplant.
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