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Exploring GWAS and genomic prediction to improve Septoria tritici blotch resistance in wheat
Septoria tritici blotch (STB) is a destructive foliar diseases threatening wheat grain yield. Wheat breeding for STB disease resistance has been identified as the most sustainable and environment-friendly approach. In this work, a panel of 316 winter wheat breeding lines from a commercial breeding p...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511425/ https://www.ncbi.nlm.nih.gov/pubmed/37730954 http://dx.doi.org/10.1038/s41598-023-42856-x |
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author | Zakieh, Mustafa Alemu, Admas Henriksson, Tina Pareek, Nidhi Singh, Pawan K. Chawade, Aakash |
author_facet | Zakieh, Mustafa Alemu, Admas Henriksson, Tina Pareek, Nidhi Singh, Pawan K. Chawade, Aakash |
author_sort | Zakieh, Mustafa |
collection | PubMed |
description | Septoria tritici blotch (STB) is a destructive foliar diseases threatening wheat grain yield. Wheat breeding for STB disease resistance has been identified as the most sustainable and environment-friendly approach. In this work, a panel of 316 winter wheat breeding lines from a commercial breeding program were evaluated for STB resistance at the seedling stage under controlled conditions followed by genome-wide association study (GWAS) and genomic prediction (GP). The study revealed a significant genotypic variation for STB seedling resistance, while disease severity scores exhibited a normal frequency distribution. Moreover, we calculated a broad-sense heritability of 0.62 for the trait. Nine single- and multi-locus GWAS models identified 24 marker-trait associations grouped into 20 quantitative trait loci (QTLs) for STB seedling-stage resistance. The seven QTLs located on chromosomes 1B, 2A, 2B, 5B (two), 7A, and 7D are reported for the first time and could potentially be novel. The GP cross-validation analysis in the RR-BLUP model estimated the genomic-estimated breeding values (GEBVs) of STB resistance with a prediction accuracy of 0.49. Meanwhile, the GWAS assisted wRR-BLUP model improved the accuracy to 0.58. The identified QTLs can be used for marker-assisted backcrossing against STB in winter wheat. Moreover, the higher prediction accuracy recorded from the GWAS-assisted GP analysis implies its power to successfully select superior candidate lines based on their GEBVs for STB resistance. |
format | Online Article Text |
id | pubmed-10511425 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105114252023-09-22 Exploring GWAS and genomic prediction to improve Septoria tritici blotch resistance in wheat Zakieh, Mustafa Alemu, Admas Henriksson, Tina Pareek, Nidhi Singh, Pawan K. Chawade, Aakash Sci Rep Article Septoria tritici blotch (STB) is a destructive foliar diseases threatening wheat grain yield. Wheat breeding for STB disease resistance has been identified as the most sustainable and environment-friendly approach. In this work, a panel of 316 winter wheat breeding lines from a commercial breeding program were evaluated for STB resistance at the seedling stage under controlled conditions followed by genome-wide association study (GWAS) and genomic prediction (GP). The study revealed a significant genotypic variation for STB seedling resistance, while disease severity scores exhibited a normal frequency distribution. Moreover, we calculated a broad-sense heritability of 0.62 for the trait. Nine single- and multi-locus GWAS models identified 24 marker-trait associations grouped into 20 quantitative trait loci (QTLs) for STB seedling-stage resistance. The seven QTLs located on chromosomes 1B, 2A, 2B, 5B (two), 7A, and 7D are reported for the first time and could potentially be novel. The GP cross-validation analysis in the RR-BLUP model estimated the genomic-estimated breeding values (GEBVs) of STB resistance with a prediction accuracy of 0.49. Meanwhile, the GWAS assisted wRR-BLUP model improved the accuracy to 0.58. The identified QTLs can be used for marker-assisted backcrossing against STB in winter wheat. Moreover, the higher prediction accuracy recorded from the GWAS-assisted GP analysis implies its power to successfully select superior candidate lines based on their GEBVs for STB resistance. Nature Publishing Group UK 2023-09-20 /pmc/articles/PMC10511425/ /pubmed/37730954 http://dx.doi.org/10.1038/s41598-023-42856-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Zakieh, Mustafa Alemu, Admas Henriksson, Tina Pareek, Nidhi Singh, Pawan K. Chawade, Aakash Exploring GWAS and genomic prediction to improve Septoria tritici blotch resistance in wheat |
title | Exploring GWAS and genomic prediction to improve Septoria tritici blotch resistance in wheat |
title_full | Exploring GWAS and genomic prediction to improve Septoria tritici blotch resistance in wheat |
title_fullStr | Exploring GWAS and genomic prediction to improve Septoria tritici blotch resistance in wheat |
title_full_unstemmed | Exploring GWAS and genomic prediction to improve Septoria tritici blotch resistance in wheat |
title_short | Exploring GWAS and genomic prediction to improve Septoria tritici blotch resistance in wheat |
title_sort | exploring gwas and genomic prediction to improve septoria tritici blotch resistance in wheat |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511425/ https://www.ncbi.nlm.nih.gov/pubmed/37730954 http://dx.doi.org/10.1038/s41598-023-42856-x |
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