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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...

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Autores principales: Zakieh, Mustafa, Alemu, Admas, Henriksson, Tina, Pareek, Nidhi, Singh, Pawan K., Chawade, Aakash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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.
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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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