Hejna, Ondrej, Havlickova, Lenka orcid.org/0000-0002-5874-8615, He, Zhesi orcid.org/0000-0001-8335-9876 et al. (2 more authors) (2019) Analysing the genetic architecture of clubroot resistance variation in Brassica napus by associative transcriptomics. Molecular Breeding. 112. ISSN 1380-3743
Abstract
Clubroot is a destructive soil-borne pathogen of Brassicaceae that causes significant recurrent reductions in yield of cruciferous crops. Although there is some resistance in oilseed rape (a crop type of the species Brassica napus), the genetic basis of that resistance is poorly understood. In this study, we used an associative transcriptomics approach to elucidate the genetic basis of resistance to clubroot pathotype ECD 17/31/31 across a genetic diversity panel of 245 accessions of B. napus. A single nucleotide polymorphism (SNP) association analysis was performed with 256,397 SNPs distributed across the genome of B. napus and combined with transcript abundance data of 53,889 coding DNA sequence (CDS) gene models. The SNP association analysis identified two major loci (on chromosomes A2 and A3) controlling resistance and seven minor loci. Within these were a total of 86 SNP markers. Altogether, 392 genes were found in these regions. Another 21 genes were implicated as potentially involved in resistance using gene expression marker (GEM) analysis. After GO enrichment analysis and InterPro functional analysis of the identified genes, 82 candidate genes were identified as having roles in clubroot resistance. These results provide useful information for marker-assisted breeding which could lead to acceleration of pyramiding of multiple clubroot resistance genes in new varieties.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2019 |
Keywords: | Association genetics,Brassica napus,Clubroot,Transcriptomics |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Biology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 16 Jul 2019 09:40 |
Last Modified: | 08 Feb 2025 00:34 |
Published Version: | https://doi.org/10.1007/s11032-019-1021-4 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1007/s11032-019-1021-4 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:148586 |
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Description: Hejna2019_Article_AnalysingTheGeneticArchitectur
Licence: CC-BY 2.5