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Nested association mapping-based GWAS for grain yield and related traits in wheat grown under diverse Australian environments

KEY MESSAGE: Utilising a nested association mapping (NAM) population-based GWAS, 98 stable marker-trait associations with 127 alleles unique to the exotic parents were detected for grain yield and related traits in wheat. ABSTRACT: Grain yield, thousand-grain weight, screenings and hectolitre weight...

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Autores principales: Chidzanga, Charity, Mullan, Daniel, Roy, Stuart, Baumann, Ute, Garcia, Melissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734238/
https://www.ncbi.nlm.nih.gov/pubmed/36205736
http://dx.doi.org/10.1007/s00122-022-04230-9
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author Chidzanga, Charity
Mullan, Daniel
Roy, Stuart
Baumann, Ute
Garcia, Melissa
author_facet Chidzanga, Charity
Mullan, Daniel
Roy, Stuart
Baumann, Ute
Garcia, Melissa
author_sort Chidzanga, Charity
collection PubMed
description KEY MESSAGE: Utilising a nested association mapping (NAM) population-based GWAS, 98 stable marker-trait associations with 127 alleles unique to the exotic parents were detected for grain yield and related traits in wheat. ABSTRACT: Grain yield, thousand-grain weight, screenings and hectolitre weight are important wheat yield traits. An understanding of their genetic basis is crucial for improving grain yield in breeding programmes. Nested association mapping (NAM) populations are useful resources for the dissection of the genetic basis of complex traits such as grain yield and related traits in wheat. Coupled with phenotypic data collected from multiple environments, NAM populations have the power to detect quantitative trait loci and their multiple alleles, providing germplasm that can be incorporated into breeding programmes. In this study, we evaluated a large-scale wheat NAM population with two recurrent parents in unbalanced trials in nine diverse Australian field environments over three years. By applying a single-stage factor analytical linear mixed model (FALMM) to the NAM multi-environment trials (MET) data and conducting a genome-wide association study (GWAS), we detected 98 stable marker-trait associations (MTAs) with their multiple alleles. 74 MTAs had 127 alleles that were derived from the exotic parents and were absent in either of the two recurrent parents. The exotic alleles had favourable effects on 46 MTAs of the 74 MTAs, for grain yield, thousand-grain weight, screenings and hectolitre weight. Two NAM RILs with consistently high yield in multiple environments were also identified, highlighting the potential of the NAM population in supporting plant breeding through provision of germplasm that can be readily incorporated into breeding programmes. The identified beneficial exotic alleles introgressed into the NAM population provide potential target alleles for the genetic improvement of wheat and further studies aimed at pinpointing the underlying genes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-022-04230-9.
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spelling pubmed-97342382022-12-11 Nested association mapping-based GWAS for grain yield and related traits in wheat grown under diverse Australian environments Chidzanga, Charity Mullan, Daniel Roy, Stuart Baumann, Ute Garcia, Melissa Theor Appl Genet Original Article KEY MESSAGE: Utilising a nested association mapping (NAM) population-based GWAS, 98 stable marker-trait associations with 127 alleles unique to the exotic parents were detected for grain yield and related traits in wheat. ABSTRACT: Grain yield, thousand-grain weight, screenings and hectolitre weight are important wheat yield traits. An understanding of their genetic basis is crucial for improving grain yield in breeding programmes. Nested association mapping (NAM) populations are useful resources for the dissection of the genetic basis of complex traits such as grain yield and related traits in wheat. Coupled with phenotypic data collected from multiple environments, NAM populations have the power to detect quantitative trait loci and their multiple alleles, providing germplasm that can be incorporated into breeding programmes. In this study, we evaluated a large-scale wheat NAM population with two recurrent parents in unbalanced trials in nine diverse Australian field environments over three years. By applying a single-stage factor analytical linear mixed model (FALMM) to the NAM multi-environment trials (MET) data and conducting a genome-wide association study (GWAS), we detected 98 stable marker-trait associations (MTAs) with their multiple alleles. 74 MTAs had 127 alleles that were derived from the exotic parents and were absent in either of the two recurrent parents. The exotic alleles had favourable effects on 46 MTAs of the 74 MTAs, for grain yield, thousand-grain weight, screenings and hectolitre weight. Two NAM RILs with consistently high yield in multiple environments were also identified, highlighting the potential of the NAM population in supporting plant breeding through provision of germplasm that can be readily incorporated into breeding programmes. The identified beneficial exotic alleles introgressed into the NAM population provide potential target alleles for the genetic improvement of wheat and further studies aimed at pinpointing the underlying genes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-022-04230-9. Springer Berlin Heidelberg 2022-10-07 2022 /pmc/articles/PMC9734238/ /pubmed/36205736 http://dx.doi.org/10.1007/s00122-022-04230-9 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 Original Article
Chidzanga, Charity
Mullan, Daniel
Roy, Stuart
Baumann, Ute
Garcia, Melissa
Nested association mapping-based GWAS for grain yield and related traits in wheat grown under diverse Australian environments
title Nested association mapping-based GWAS for grain yield and related traits in wheat grown under diverse Australian environments
title_full Nested association mapping-based GWAS for grain yield and related traits in wheat grown under diverse Australian environments
title_fullStr Nested association mapping-based GWAS for grain yield and related traits in wheat grown under diverse Australian environments
title_full_unstemmed Nested association mapping-based GWAS for grain yield and related traits in wheat grown under diverse Australian environments
title_short Nested association mapping-based GWAS for grain yield and related traits in wheat grown under diverse Australian environments
title_sort nested association mapping-based gwas for grain yield and related traits in wheat grown under diverse australian environments
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734238/
https://www.ncbi.nlm.nih.gov/pubmed/36205736
http://dx.doi.org/10.1007/s00122-022-04230-9
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