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Identification of leaf rust resistance loci in a geographically diverse panel of wheat using genome-wide association analysis

Leaf rust, caused by Puccinia triticina (Pt) is among the most devastating diseases posing a significant threat to global wheat production. The continuously evolving virulent Pt races in North America calls for exploring new sources of leaf rust resistance. A diversity panel of 365 bread wheat acces...

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Autores principales: Kaur, Shivreet, Gill, Harsimardeep S., Breiland, Matthew, Kolmer, James A., Gupta, Rajeev, Sehgal, Sunish K., Gill, Upinder
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929074/
https://www.ncbi.nlm.nih.gov/pubmed/36818858
http://dx.doi.org/10.3389/fpls.2023.1090163
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author Kaur, Shivreet
Gill, Harsimardeep S.
Breiland, Matthew
Kolmer, James A.
Gupta, Rajeev
Sehgal, Sunish K.
Gill, Upinder
author_facet Kaur, Shivreet
Gill, Harsimardeep S.
Breiland, Matthew
Kolmer, James A.
Gupta, Rajeev
Sehgal, Sunish K.
Gill, Upinder
author_sort Kaur, Shivreet
collection PubMed
description Leaf rust, caused by Puccinia triticina (Pt) is among the most devastating diseases posing a significant threat to global wheat production. The continuously evolving virulent Pt races in North America calls for exploring new sources of leaf rust resistance. A diversity panel of 365 bread wheat accessions selected from a worldwide population of landraces and cultivars was evaluated at the seedling stage against four Pt races (TDBJQ, TBBGS, MNPSD and, TNBJS). A wide distribution of seedling responses against the four Pt races was observed. Majority of the genotypes displayed a susceptible response with only 28 (9.8%), 59 (13.5%), 45 (12.5%), and 29 (8.1%) wheat accessions exhibiting a highly resistant response to TDBJQ, TBBGS, MNPSD and, TNBJS, respectively. Further, we conducted a high-resolution multi-locus genome-wide association study (GWAS) using a set of 302,524 high-quality single nucleotide polymorphisms (SNPs). The GWAS analysis identified 27 marker-trait associations (MTAs) for leaf rust resistance on different wheat chromosomes of which 20 MTAs were found in the vicinity of known Lr genes, MTAs, or quantitative traits loci (QTLs) identified in previous studies. The remaining seven significant MTAs identified represent genomic regions that harbor potentially novel genes for leaf rust resistance. Furthermore, the candidate gene analysis for the significant MTAs identified various genes of interest that may be involved in disease resistance. The identified resistant lines and SNPs linked to the QTLs in this study will serve as valuable resources in wheat rust resistance breeding programs.
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spelling pubmed-99290742023-02-16 Identification of leaf rust resistance loci in a geographically diverse panel of wheat using genome-wide association analysis Kaur, Shivreet Gill, Harsimardeep S. Breiland, Matthew Kolmer, James A. Gupta, Rajeev Sehgal, Sunish K. Gill, Upinder Front Plant Sci Plant Science Leaf rust, caused by Puccinia triticina (Pt) is among the most devastating diseases posing a significant threat to global wheat production. The continuously evolving virulent Pt races in North America calls for exploring new sources of leaf rust resistance. A diversity panel of 365 bread wheat accessions selected from a worldwide population of landraces and cultivars was evaluated at the seedling stage against four Pt races (TDBJQ, TBBGS, MNPSD and, TNBJS). A wide distribution of seedling responses against the four Pt races was observed. Majority of the genotypes displayed a susceptible response with only 28 (9.8%), 59 (13.5%), 45 (12.5%), and 29 (8.1%) wheat accessions exhibiting a highly resistant response to TDBJQ, TBBGS, MNPSD and, TNBJS, respectively. Further, we conducted a high-resolution multi-locus genome-wide association study (GWAS) using a set of 302,524 high-quality single nucleotide polymorphisms (SNPs). The GWAS analysis identified 27 marker-trait associations (MTAs) for leaf rust resistance on different wheat chromosomes of which 20 MTAs were found in the vicinity of known Lr genes, MTAs, or quantitative traits loci (QTLs) identified in previous studies. The remaining seven significant MTAs identified represent genomic regions that harbor potentially novel genes for leaf rust resistance. Furthermore, the candidate gene analysis for the significant MTAs identified various genes of interest that may be involved in disease resistance. The identified resistant lines and SNPs linked to the QTLs in this study will serve as valuable resources in wheat rust resistance breeding programs. Frontiers Media S.A. 2023-02-01 /pmc/articles/PMC9929074/ /pubmed/36818858 http://dx.doi.org/10.3389/fpls.2023.1090163 Text en Copyright © 2023 Kaur, Gill, Breiland, Kolmer, Gupta, Sehgal and Gill https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Kaur, Shivreet
Gill, Harsimardeep S.
Breiland, Matthew
Kolmer, James A.
Gupta, Rajeev
Sehgal, Sunish K.
Gill, Upinder
Identification of leaf rust resistance loci in a geographically diverse panel of wheat using genome-wide association analysis
title Identification of leaf rust resistance loci in a geographically diverse panel of wheat using genome-wide association analysis
title_full Identification of leaf rust resistance loci in a geographically diverse panel of wheat using genome-wide association analysis
title_fullStr Identification of leaf rust resistance loci in a geographically diverse panel of wheat using genome-wide association analysis
title_full_unstemmed Identification of leaf rust resistance loci in a geographically diverse panel of wheat using genome-wide association analysis
title_short Identification of leaf rust resistance loci in a geographically diverse panel of wheat using genome-wide association analysis
title_sort identification of leaf rust resistance loci in a geographically diverse panel of wheat using genome-wide association analysis
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929074/
https://www.ncbi.nlm.nih.gov/pubmed/36818858
http://dx.doi.org/10.3389/fpls.2023.1090163
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