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In silico integration of disease resistance QTL, genes and markers with the Brassica juncea physical map
Brassica juncea (AABB), Indian mustard, is a source of disease resistance genes for a wide range of pathogens. The availability of reference genome sequences for B. juncea has made it possible to characterise the genomic structure and distribution of these disease resistance genes. Potentially funct...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248627/ https://www.ncbi.nlm.nih.gov/pubmed/37309382 http://dx.doi.org/10.1007/s11032-022-01309-5 |
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author | Inturrisi, Fabian Bayer, Philipp E. Cantila, Aldrin Y. Tirnaz, Soodeh Edwards, David Batley, Jacqueline |
author_facet | Inturrisi, Fabian Bayer, Philipp E. Cantila, Aldrin Y. Tirnaz, Soodeh Edwards, David Batley, Jacqueline |
author_sort | Inturrisi, Fabian |
collection | PubMed |
description | Brassica juncea (AABB), Indian mustard, is a source of disease resistance genes for a wide range of pathogens. The availability of reference genome sequences for B. juncea has made it possible to characterise the genomic structure and distribution of these disease resistance genes. Potentially functional disease resistance genes can be identified by co-localization with genetically mapped disease resistance quantitative trait loci (QTL). Here we identify and characterise disease resistance gene analogs (RGAs), including nucleotide-binding site–leucine-rich repeat (NLR), receptor-like kinase (RLK) and receptor-like protein (RLP) classes, and investigate their association with disease resistance QTL intervals. The molecular genetic marker sequences for four white rust (Albugo candida) disease resistance QTL, six blackleg (Leptosphaeria maculans) disease resistance QTL and BjCHI1, a gene cloned from B. juncea for hypocotyl rot disease, were extracted from previously published studies and used to compare with candidate RGAs. Our results highlight the complications for the identification of functional resistance genes, including the duplicated appearance of genetic markers for several resistance loci, including Ac2(t), AcB1-A4.1, AcB1-A5.1, Rlm6 and PhR2 in both the A and B genomes, due to the presence of homoeologous regions. Furthermore, the white rust loci, Ac2(t) and AcB1-A4.1, mapped to the same position on chromosome A04 and may be different alleles of the same gene. Despite these challenges, a total of nine candidate genomic regions hosting 14 RLPs, 28 NLRs and 115 RLKs were identified. This study facilitates the mapping and cloning of functional resistance genes for applications in crop improvement programs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11032-022-01309-5. |
format | Online Article Text |
id | pubmed-10248627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-102486272023-06-12 In silico integration of disease resistance QTL, genes and markers with the Brassica juncea physical map Inturrisi, Fabian Bayer, Philipp E. Cantila, Aldrin Y. Tirnaz, Soodeh Edwards, David Batley, Jacqueline Mol Breed Article Brassica juncea (AABB), Indian mustard, is a source of disease resistance genes for a wide range of pathogens. The availability of reference genome sequences for B. juncea has made it possible to characterise the genomic structure and distribution of these disease resistance genes. Potentially functional disease resistance genes can be identified by co-localization with genetically mapped disease resistance quantitative trait loci (QTL). Here we identify and characterise disease resistance gene analogs (RGAs), including nucleotide-binding site–leucine-rich repeat (NLR), receptor-like kinase (RLK) and receptor-like protein (RLP) classes, and investigate their association with disease resistance QTL intervals. The molecular genetic marker sequences for four white rust (Albugo candida) disease resistance QTL, six blackleg (Leptosphaeria maculans) disease resistance QTL and BjCHI1, a gene cloned from B. juncea for hypocotyl rot disease, were extracted from previously published studies and used to compare with candidate RGAs. Our results highlight the complications for the identification of functional resistance genes, including the duplicated appearance of genetic markers for several resistance loci, including Ac2(t), AcB1-A4.1, AcB1-A5.1, Rlm6 and PhR2 in both the A and B genomes, due to the presence of homoeologous regions. Furthermore, the white rust loci, Ac2(t) and AcB1-A4.1, mapped to the same position on chromosome A04 and may be different alleles of the same gene. Despite these challenges, a total of nine candidate genomic regions hosting 14 RLPs, 28 NLRs and 115 RLKs were identified. This study facilitates the mapping and cloning of functional resistance genes for applications in crop improvement programs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11032-022-01309-5. Springer Netherlands 2022-06-27 /pmc/articles/PMC10248627/ /pubmed/37309382 http://dx.doi.org/10.1007/s11032-022-01309-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Inturrisi, Fabian Bayer, Philipp E. Cantila, Aldrin Y. Tirnaz, Soodeh Edwards, David Batley, Jacqueline In silico integration of disease resistance QTL, genes and markers with the Brassica juncea physical map |
title | In silico integration of disease resistance QTL, genes and markers with the Brassica juncea physical map |
title_full | In silico integration of disease resistance QTL, genes and markers with the Brassica juncea physical map |
title_fullStr | In silico integration of disease resistance QTL, genes and markers with the Brassica juncea physical map |
title_full_unstemmed | In silico integration of disease resistance QTL, genes and markers with the Brassica juncea physical map |
title_short | In silico integration of disease resistance QTL, genes and markers with the Brassica juncea physical map |
title_sort | in silico integration of disease resistance qtl, genes and markers with the brassica juncea physical map |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248627/ https://www.ncbi.nlm.nih.gov/pubmed/37309382 http://dx.doi.org/10.1007/s11032-022-01309-5 |
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