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Characterization of disease resistance genes in the Brassica napus pangenome reveals significant structural variation

Methods based on single nucleotide polymorphism (SNP), copy number variation (CNV) and presence/absence variation (PAV) discovery provide a valuable resource to study gene structure and evolution. However, as a result of these structural variations, a single reference genome is unable to cover the e...

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Autores principales: Dolatabadian, Aria, Bayer, Philipp E., Tirnaz, Soodeh, Hurgobin, Bhavna, Edwards, David, Batley, Jacqueline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7061875/
https://www.ncbi.nlm.nih.gov/pubmed/31553100
http://dx.doi.org/10.1111/pbi.13262
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author Dolatabadian, Aria
Bayer, Philipp E.
Tirnaz, Soodeh
Hurgobin, Bhavna
Edwards, David
Batley, Jacqueline
author_facet Dolatabadian, Aria
Bayer, Philipp E.
Tirnaz, Soodeh
Hurgobin, Bhavna
Edwards, David
Batley, Jacqueline
author_sort Dolatabadian, Aria
collection PubMed
description Methods based on single nucleotide polymorphism (SNP), copy number variation (CNV) and presence/absence variation (PAV) discovery provide a valuable resource to study gene structure and evolution. However, as a result of these structural variations, a single reference genome is unable to cover the entire gene content of a species. Therefore, pangenomics analysis is needed to ensure that the genomic diversity within a species is fully represented. Brassica napus is one of the most important oilseed crops in the world and exhibits variability in its resistance genes across different cultivars. Here, we characterized resistance gene distribution across 50 B. napus lines. We identified a total of 1749 resistance gene analogs (RGAs), of which 996 are core and 753 are variable, 368 of which are not present in the reference genome (cv. Darmor‐bzh). In addition, a total of 15 318 SNPs were predicted within 1030 of the RGAs. The results showed that core R‐genes harbour more SNPs than variable genes. More nucleotide binding site‐leucine‐rich repeat (NBS‐LRR) genes were located in clusters than as singletons, with variable genes more likely to be found in clusters. We identified 106 RGA candidates linked to blackleg resistance quantitative trait locus (QTL). This study provides a better understanding of resistance genes to target for genomics‐based improvement and improved disease resistance.
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spelling pubmed-70618752020-03-16 Characterization of disease resistance genes in the Brassica napus pangenome reveals significant structural variation Dolatabadian, Aria Bayer, Philipp E. Tirnaz, Soodeh Hurgobin, Bhavna Edwards, David Batley, Jacqueline Plant Biotechnol J Research Articles Methods based on single nucleotide polymorphism (SNP), copy number variation (CNV) and presence/absence variation (PAV) discovery provide a valuable resource to study gene structure and evolution. However, as a result of these structural variations, a single reference genome is unable to cover the entire gene content of a species. Therefore, pangenomics analysis is needed to ensure that the genomic diversity within a species is fully represented. Brassica napus is one of the most important oilseed crops in the world and exhibits variability in its resistance genes across different cultivars. Here, we characterized resistance gene distribution across 50 B. napus lines. We identified a total of 1749 resistance gene analogs (RGAs), of which 996 are core and 753 are variable, 368 of which are not present in the reference genome (cv. Darmor‐bzh). In addition, a total of 15 318 SNPs were predicted within 1030 of the RGAs. The results showed that core R‐genes harbour more SNPs than variable genes. More nucleotide binding site‐leucine‐rich repeat (NBS‐LRR) genes were located in clusters than as singletons, with variable genes more likely to be found in clusters. We identified 106 RGA candidates linked to blackleg resistance quantitative trait locus (QTL). This study provides a better understanding of resistance genes to target for genomics‐based improvement and improved disease resistance. John Wiley and Sons Inc. 2019-10-10 2020-04 /pmc/articles/PMC7061875/ /pubmed/31553100 http://dx.doi.org/10.1111/pbi.13262 Text en © 2019 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Dolatabadian, Aria
Bayer, Philipp E.
Tirnaz, Soodeh
Hurgobin, Bhavna
Edwards, David
Batley, Jacqueline
Characterization of disease resistance genes in the Brassica napus pangenome reveals significant structural variation
title Characterization of disease resistance genes in the Brassica napus pangenome reveals significant structural variation
title_full Characterization of disease resistance genes in the Brassica napus pangenome reveals significant structural variation
title_fullStr Characterization of disease resistance genes in the Brassica napus pangenome reveals significant structural variation
title_full_unstemmed Characterization of disease resistance genes in the Brassica napus pangenome reveals significant structural variation
title_short Characterization of disease resistance genes in the Brassica napus pangenome reveals significant structural variation
title_sort characterization of disease resistance genes in the brassica napus pangenome reveals significant structural variation
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7061875/
https://www.ncbi.nlm.nih.gov/pubmed/31553100
http://dx.doi.org/10.1111/pbi.13262
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