Files and links (1)
CC BY V4.0, Open Access
Journal article
Whole genome resequencing identifies candidate genes and allelic diagnostic markers for resistance to Ralstonia solanacearum infection in cultivated peanut (Arachis hypogaea L.)
Frontiers in plant science, Vol.13, 1048168
2023
PMID: 36684803
Abstract
Bacterial wilt disease (BWD), caused by Ralstonia solanacearum is a major challenge for peanut production in China and significantly affects global peanut field productivity. It is imperative to identify genetic loci and putative genes controlling resistance to R. solanacearum (RRS). Therefore, a sequencing-based trait mapping approach termed “QTL-seq” was applied to a recombination inbred line population of 581 individuals from the cross of Yueyou 92 (resistant) and Xinhuixiaoli (susceptible). A total of 381,642 homozygous single nucleotide polymorphisms (SNPs) and 98,918 InDels were identified through whole genome resequencing of resistant and susceptible parents for RRS. Using QTL-seq analysis, a candidate genomic region comprising of 7.2 Mb (1.8–9.0 Mb) was identified on chromosome 12 which was found to be significantly associated with RRS based on combined Euclidean Distance (ED) and SNP-index methods. This candidate genomic region had 180 nonsynonymous SNPs and 14 InDels that affected 75 and 11 putative candidate genes, respectively. Finally, eight nucleotide binding site leucine rich repeat (NBS-LRR) putative resistant genes were identified as the important candidate genes with high confidence. Two diagnostic SNP markers were validated and revealed high phenotypic variation in the different resistant and susceptible RIL lines. These findings advocate the expediency of the QTL-seq approach for precise and rapid identification of candidate genomic regions, and the development of diagnostic markers that are applicable in breeding disease-resistant peanut varieties.
Details
- Title
- Whole genome resequencing identifies candidate genes and allelic diagnostic markers for resistance to Ralstonia solanacearum infection in cultivated peanut (Arachis hypogaea L.)
- Authors/Creators
- Chong Zhang - Fujian Agriculture and Forestry UniversityWenping Xie - , , , , , , , , , ,Huiwen Fu - , , , , , , , , , ,Yuting Chen - Fujian Agriculture and Forestry UniversityHua Chen - Fujian Agriculture and Forestry UniversityTiecheng Cai - Fujian Agriculture and Forestry UniversityQiang Yang - , , , , , , , , , ,Yuhui Zhuang - Fujian Agriculture and Forestry UniversityXin Zhong - Fujian Agriculture and Forestry UniversityKun Chen - , , , , , , , , , ,Meijia Gao - Fujian Agriculture and Forestry UniversityFengzhen Liu - Shandong Agricultural UniversityYongshan Wan - , , , , , , , , , ,Manish K. Pandey - International Crops Research Institute for the Semi-Arid TropicsRajeev K. Varshney - Murdoch University, Food Futures InstituteWeijian Zhuang - Fujian Agriculture and Forestry University
- Publication Details
- Frontiers in plant science, Vol.13, 1048168
- Publisher
- Frontiers Media S.A
- Identifiers
- 991005599162007891
- Copyright
- © 2023 Zhang et al.
- Murdoch Affiliation
- Centre for Crop and Food Innovation; State Agricultural Biotechnology Centre
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Metrics
4 File views/ downloads
56 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.4 Crop Science
- 3.4.96 QTL
- Web Of Science research areas
- Plant Sciences
- ESI research areas
- Plant & Animal Science