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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...

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Autores principales: Mokrzycka, Monika, Stojałowski, Stefan, Tyrka, Mirosław, Matysik, Przemysław, Żmijewska, Barbara, Marcinkowski, Rafał, Woźna-Pawlak, Urszula, Martofel, Róża, Rokicki, Michał, Rakoczy-Trojanowska, Monika, Krajewski, Paweł
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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