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Genetic characterization and genome-wide association mapping for stem rust resistance in spring bread wheat
BACKGROUND: Emerging wheat stem rust races have become a major threat to global wheat production. Finding additional loci responsible for resistance to these races and incorporating them into currently cultivated varieties is the most economic and environmentally sound strategy to combat this proble...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8845374/ https://www.ncbi.nlm.nih.gov/pubmed/35164670 http://dx.doi.org/10.1186/s12863-022-01030-4 |
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author | Shewabez, Elias Bekele, Endashaw Alemu, Admas Mugnai, Laura Tadesse, Wuletaw |
author_facet | Shewabez, Elias Bekele, Endashaw Alemu, Admas Mugnai, Laura Tadesse, Wuletaw |
author_sort | Shewabez, Elias |
collection | PubMed |
description | BACKGROUND: Emerging wheat stem rust races have become a major threat to global wheat production. Finding additional loci responsible for resistance to these races and incorporating them into currently cultivated varieties is the most economic and environmentally sound strategy to combat this problem. Thus, this study was aimed at characterizing the genetic diversity and identifying the genetic loci conferring resistance to the stem rust of wheat. To accomplish this, 245 elite lines introduced from the International Center for Agricultural Research in the Dry Areas (ICARDA) were evaluated under natural stem rust pressure in the field at the Debre Zeit Agricultural Research Center, Ethiopia. The single nucleotide polymorphisms (SNP) marker data was retrieved from a 15 K SNP wheat array. A mixed linear model was used to investigate the association between SNP markers and the best linear unbiased prediction (BLUP) values of the stem rust coefficient of infection (CI). RESULTS: Phenotypic analysis revealed that 46% of the lines had a coefficient of infection (CI) in a range of 0 to 19. Genome-wide average values of 0.38, 0.20, and 0.71 were recorded for Nei’s gene diversity, polymorphism information content, and major allele frequency, respectively. A total of 46 marker-trait associations (MTAs) encompassed within eleven quantitative trait loci (QTL) were detected on chromosomes 1B, 3A, 3B, 4A, 4B, and 5A for CI. Two major QTLs with –log(10) (p) ≥ 4 (EWYP1B.1 and EWYP1B.2) were discovered on chromosome 1B. CONCLUSIONS: This study identified several novel markers associated with stem rust resistance in wheat with the potential to facilitate durable rust resistance development through marker-assisted selection. It is recommended that the resistant wheat genotypes identified in this study be used in the national wheat breeding programs to improve stem rust resistance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12863-022-01030-4. |
format | Online Article Text |
id | pubmed-8845374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88453742022-02-16 Genetic characterization and genome-wide association mapping for stem rust resistance in spring bread wheat Shewabez, Elias Bekele, Endashaw Alemu, Admas Mugnai, Laura Tadesse, Wuletaw BMC Genom Data Research Article BACKGROUND: Emerging wheat stem rust races have become a major threat to global wheat production. Finding additional loci responsible for resistance to these races and incorporating them into currently cultivated varieties is the most economic and environmentally sound strategy to combat this problem. Thus, this study was aimed at characterizing the genetic diversity and identifying the genetic loci conferring resistance to the stem rust of wheat. To accomplish this, 245 elite lines introduced from the International Center for Agricultural Research in the Dry Areas (ICARDA) were evaluated under natural stem rust pressure in the field at the Debre Zeit Agricultural Research Center, Ethiopia. The single nucleotide polymorphisms (SNP) marker data was retrieved from a 15 K SNP wheat array. A mixed linear model was used to investigate the association between SNP markers and the best linear unbiased prediction (BLUP) values of the stem rust coefficient of infection (CI). RESULTS: Phenotypic analysis revealed that 46% of the lines had a coefficient of infection (CI) in a range of 0 to 19. Genome-wide average values of 0.38, 0.20, and 0.71 were recorded for Nei’s gene diversity, polymorphism information content, and major allele frequency, respectively. A total of 46 marker-trait associations (MTAs) encompassed within eleven quantitative trait loci (QTL) were detected on chromosomes 1B, 3A, 3B, 4A, 4B, and 5A for CI. Two major QTLs with –log(10) (p) ≥ 4 (EWYP1B.1 and EWYP1B.2) were discovered on chromosome 1B. CONCLUSIONS: This study identified several novel markers associated with stem rust resistance in wheat with the potential to facilitate durable rust resistance development through marker-assisted selection. It is recommended that the resistant wheat genotypes identified in this study be used in the national wheat breeding programs to improve stem rust resistance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12863-022-01030-4. BioMed Central 2022-02-14 /pmc/articles/PMC8845374/ /pubmed/35164670 http://dx.doi.org/10.1186/s12863-022-01030-4 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Shewabez, Elias Bekele, Endashaw Alemu, Admas Mugnai, Laura Tadesse, Wuletaw Genetic characterization and genome-wide association mapping for stem rust resistance in spring bread wheat |
title | Genetic characterization and genome-wide association mapping for stem rust resistance in spring bread wheat |
title_full | Genetic characterization and genome-wide association mapping for stem rust resistance in spring bread wheat |
title_fullStr | Genetic characterization and genome-wide association mapping for stem rust resistance in spring bread wheat |
title_full_unstemmed | Genetic characterization and genome-wide association mapping for stem rust resistance in spring bread wheat |
title_short | Genetic characterization and genome-wide association mapping for stem rust resistance in spring bread wheat |
title_sort | genetic characterization and genome-wide association mapping for stem rust resistance in spring bread wheat |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8845374/ https://www.ncbi.nlm.nih.gov/pubmed/35164670 http://dx.doi.org/10.1186/s12863-022-01030-4 |
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