Open AccessNext‐generation sequencing identified genomic region and diagnostic markers for resistance to bacterial wilt on chromosome B02 in peanut ( Arachis hypogaea L.)
Author(s) -
Luo Huaiyong,
Pandey Manish K.,
Khan Aamir W.,
Wu Bei,
Guo Jianbin,
Ren Xiaoping,
Zhou Xiaojing,
Chen Yuning,
Chen Weigang,
Huang Li,
Liu Nian,
Lei Yong,
Liao Boshou,
Varshney Rajeev K.,
Jiang Huifang
Publication year - 2019
Publication title -
plant biotechnology journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.525
H-Index - 115
eISSN - 1467-7652
pISSN - 1467-7644
DOI - 10.1111/pbi.13153
Subject(s) - biology , bacterial wilt , genetics , candidate gene , ralstonia solanacearum , quantitative trait locus , plant disease resistance , single nucleotide polymorphism , molecular breeding , genomics , bacterial artificial chromosome , gene , population , arachis hypogaea , genome , genotype , botany , bacteria , demography , sociology
Summary Bacterial wilt, caused by Ralstonia solanacearum , is a devastating disease affecting over 350 plant species. A few peanut cultivars were found to possess stable and durable bacterial wilt resistance ( BWR ). Genomics‐assisted breeding can accelerate the process of developing resistant cultivars by using diagnostic markers. Here, we deployed sequencing‐based trait mapping approach, QTL ‐seq, to discover genomic regions, candidate genes and diagnostic markers for BWR in a recombination inbred line population (195 progenies) of peanut. The QTL ‐seq analysis identified one candidate genomic region on chromosome B02 significantly associated with BWR . Mapping of newly developed single nucleotide polymorphism ( SNP ) markers narrowed down the region to 2.07 Mb and confirmed its major effects and stable expressions across three environments. This candidate genomic region had 49 nonsynonymous SNP s affecting 19 putative candidate genes including seven putative resistance genes (R‐genes). Two diagnostic markers were successfully validated in diverse breeding lines and cultivars and could be deployed in genomics‐assisted breeding of varieties with enhanced BWR .