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Genome-Wide Association Analysis for Hybrid Breeding in Wheat
Disclosure of markers that are significantly associated with plant traits can help develop new varieties with desirable properties. This study determined the genome-wide associations based on DArTseq markers for six agronomic traits assessed in eight environments for wheat. Moreover, the association...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740285/ https://www.ncbi.nlm.nih.gov/pubmed/36499647 http://dx.doi.org/10.3390/ijms232315321 |
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author | Mokrzycka, Monika Stojałowski, Stefan Tyrka, Mirosław Matysik, Przemysław Żmijewska, Barbara Marcinkowski, Rafał Woźna-Pawlak, Urszula Martofel, Róża Rokicki, Michał Rakoczy-Trojanowska, Monika Krajewski, Paweł |
author_facet | Mokrzycka, Monika Stojałowski, Stefan Tyrka, Mirosław Matysik, Przemysław Żmijewska, Barbara Marcinkowski, Rafał Woźna-Pawlak, Urszula Martofel, Róża Rokicki, Michał Rakoczy-Trojanowska, Monika Krajewski, Paweł |
author_sort | Mokrzycka, Monika |
collection | PubMed |
description | Disclosure of markers that are significantly associated with plant traits can help develop new varieties with desirable properties. This study determined the genome-wide associations based on DArTseq markers for six agronomic traits assessed in eight environments for wheat. Moreover, the association study for heterosis and analysis of the effects of markers grouped by linkage disequilibrium were performed based on mean values over all experiments. All results were validated using data from post-registration trials. GWAS revealed 1273 single nucleotide polymorphisms with biologically significant effects. Most polymorphisms were predicted to be modifiers of protein translation, with only two having a more pronounced effect. Markers significantly associated with the considered set of features were clustered within chromosomes based on linkage disequilibrium in 327 LD blocks. A GWAS for heterosis revealed 1261 markers with significant effects. |
format | Online Article Text |
id | pubmed-9740285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97402852022-12-11 Genome-Wide Association Analysis for Hybrid Breeding in Wheat Mokrzycka, Monika Stojałowski, Stefan Tyrka, Mirosław Matysik, Przemysław Żmijewska, Barbara Marcinkowski, Rafał Woźna-Pawlak, Urszula Martofel, Róża Rokicki, Michał Rakoczy-Trojanowska, Monika Krajewski, Paweł Int J Mol Sci Article Disclosure of markers that are significantly associated with plant traits can help develop new varieties with desirable properties. This study determined the genome-wide associations based on DArTseq markers for six agronomic traits assessed in eight environments for wheat. Moreover, the association study for heterosis and analysis of the effects of markers grouped by linkage disequilibrium were performed based on mean values over all experiments. All results were validated using data from post-registration trials. GWAS revealed 1273 single nucleotide polymorphisms with biologically significant effects. Most polymorphisms were predicted to be modifiers of protein translation, with only two having a more pronounced effect. Markers significantly associated with the considered set of features were clustered within chromosomes based on linkage disequilibrium in 327 LD blocks. A GWAS for heterosis revealed 1261 markers with significant effects. MDPI 2022-12-05 /pmc/articles/PMC9740285/ /pubmed/36499647 http://dx.doi.org/10.3390/ijms232315321 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mokrzycka, Monika Stojałowski, Stefan Tyrka, Mirosław Matysik, Przemysław Żmijewska, Barbara Marcinkowski, Rafał Woźna-Pawlak, Urszula Martofel, Róża Rokicki, Michał Rakoczy-Trojanowska, Monika Krajewski, Paweł Genome-Wide Association Analysis for Hybrid Breeding in Wheat |
title | Genome-Wide Association Analysis for Hybrid Breeding in Wheat |
title_full | Genome-Wide Association Analysis for Hybrid Breeding in Wheat |
title_fullStr | Genome-Wide Association Analysis for Hybrid Breeding in Wheat |
title_full_unstemmed | Genome-Wide Association Analysis for Hybrid Breeding in Wheat |
title_short | Genome-Wide Association Analysis for Hybrid Breeding in Wheat |
title_sort | genome-wide association analysis for hybrid breeding in wheat |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740285/ https://www.ncbi.nlm.nih.gov/pubmed/36499647 http://dx.doi.org/10.3390/ijms232315321 |
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