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Analysing the genetic architecture of clubroot resistance variation in Brassica napus by associative transcriptomics
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6647481/ https://www.ncbi.nlm.nih.gov/pubmed/31396013 http://dx.doi.org/10.1007/s11032-019-1021-4 |
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author | Hejna, Ondrej Havlickova, Lenka He, Zhesi Bancroft, Ian Curn, Vladislav |
author_facet | Hejna, Ondrej Havlickova, Lenka He, Zhesi Bancroft, Ian Curn, Vladislav |
author_sort | Hejna, Ondrej |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11032-019-1021-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6647481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-66474812019-08-06 Analysing the genetic architecture of clubroot resistance variation in Brassica napus by associative transcriptomics Hejna, Ondrej Havlickova, Lenka He, Zhesi Bancroft, Ian Curn, Vladislav Mol Breed Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11032-019-1021-4) contains supplementary material, which is available to authorized users. Springer Netherlands 2019-07-20 2019 /pmc/articles/PMC6647481/ /pubmed/31396013 http://dx.doi.org/10.1007/s11032-019-1021-4 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Hejna, Ondrej Havlickova, Lenka He, Zhesi Bancroft, Ian Curn, Vladislav Analysing the genetic architecture of clubroot resistance variation in Brassica napus by associative transcriptomics |
title | Analysing the genetic architecture of clubroot resistance variation in Brassica napus by associative transcriptomics |
title_full | Analysing the genetic architecture of clubroot resistance variation in Brassica napus by associative transcriptomics |
title_fullStr | Analysing the genetic architecture of clubroot resistance variation in Brassica napus by associative transcriptomics |
title_full_unstemmed | Analysing the genetic architecture of clubroot resistance variation in Brassica napus by associative transcriptomics |
title_short | Analysing the genetic architecture of clubroot resistance variation in Brassica napus by associative transcriptomics |
title_sort | analysing the genetic architecture of clubroot resistance variation in brassica napus by associative transcriptomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6647481/ https://www.ncbi.nlm.nih.gov/pubmed/31396013 http://dx.doi.org/10.1007/s11032-019-1021-4 |
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