Abstract

Key messageA major QTL, qBWA12, was fine mapped to a 216.68 kb physical region, and A12.4097252 was identified as a useful KASP marker for breeding peanut varieties resistant to bacterial wilt.Bacterial wilt, caused by Ralstonia solanacearum, is a major disease detrimental to peanut production in China. Breeding disease-resistant peanut varieties is the most economical and effective way to prevent the disease and yield loss. Fine mapping the QTLs for bacterial wilt resistance is critical for the marker-assisted breeding of disease-resistant varieties. A recombinant inbred population comprising 521 lines was used to construct a high-density genetic linkage map and to identify QTLs for bacterial wilt resistance following restriction-site-associated DNA sequencing. The genetic map, which included 5120 SNP markers, covered a length of 3179 cM with an average marker distance of 0.6 cM. Four QTLs for bacterial wilt resistance were mapped on four chromosomes. One major QTL, qBWA12, with LOD score of 32.8–66.0 and PVE of 31.2–44.8%, was stably detected in all four development stages investigated over the 3 trial years. Additionally, qBWA12 spanned a 2.7 cM region, corresponding to approximately 0.4 Mb and was fine mapped to a 216.7 kb region by applying KASP markers that were polymorphic between the two parents based on whole-genome resequencing data. In a large collection of breeding and germplasm lines, it was proved that KASP marker A12.4097252 can be applied for the marker-assisted breeding to develop peanut varieties resistant to bacterial wilt. Of the 19 candidate genes in the region covered by qBWA12, nine NBS-LRR genes should be further investigated regarding their potential contribution to the resistance of peanut against bacterial wilt.

Highlights

  • Cultivated peanut (Arachis hypogaea L.) is one of the most important oil crops; its worldwide yield ranked 4th after soybean, canola, and sunflower

  • Linkage analysis is based on bi-parental populations, and the factors affecting the detection of QTLs include population size, marker density, logarithm of odds (LOD) threshold, phenotypic variance explained (PVE), and genetic distances between QTLs and markers (Li et al 2010)

  • The analysis of variance (ANOVA) results indicated a highly significant genotype effect (G) at all four stages, but the environment (E) and genotype × environment interactions (G × E) were less significant or not significant (Table S2), the reason may be that the experiment was conducted in a single location

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Summary

Introduction

Cultivated peanut (Arachis hypogaea L.) is one of the most important oil crops; its worldwide yield (up to 47 million tons) ranked 4th after soybean, canola, and sunflower. Theoretical and Applied Genetics improvements in controlling bacterial wilt (Yu 2011; Jiang et al 2017). Cultivating disease-resistant peanut varieties is the most economical and effective way for preventing bacterial wilt outbreaks. Marker-assisted selection (MAS; Ashikari and Matsuoka 2006) is used to screen offspring for the wanted genotypes by applying genetically linked markers, which can greatly improve breeding efficiency by minimizing the effort and time required for phenotypic assessments. Linkage analysis is based on bi-parental populations, and the factors affecting the detection of QTLs include population size, marker density, logarithm of odds (LOD) threshold, phenotypic variance explained (PVE), and genetic distances between QTLs and markers (Li et al 2010). With the rapid development of sequencing technologies, high-throughput genotyping methods are increasingly applied to assist in high-resolution genetic mapping

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