Cargando…
Genome wide association in Spanish bread wheat landraces identifies six key genomic regions that constitute potential targets for improving grain yield related traits
KEY MESSAGE: Association mapping conducted in 189 Spanish bread wheat landraces revealed six key genomic regions that constitute stable QTLs for yield and include 15 candidate genes. ABSTRACT: Genetically diverse landraces provide an ideal population to conduct association analysis. In this study, a...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643358/ https://www.ncbi.nlm.nih.gov/pubmed/37957405 http://dx.doi.org/10.1007/s00122-023-04492-x |
_version_ | 1785147097625919488 |
---|---|
author | López-Fernández, Matilde García-Abadillo, Julián Uauy, Cristobal Ruiz, Magdalena Giraldo, Patricia Pascual, Laura |
author_facet | López-Fernández, Matilde García-Abadillo, Julián Uauy, Cristobal Ruiz, Magdalena Giraldo, Patricia Pascual, Laura |
author_sort | López-Fernández, Matilde |
collection | PubMed |
description | KEY MESSAGE: Association mapping conducted in 189 Spanish bread wheat landraces revealed six key genomic regions that constitute stable QTLs for yield and include 15 candidate genes. ABSTRACT: Genetically diverse landraces provide an ideal population to conduct association analysis. In this study, association mapping was conducted in a collection of 189 Spanish bread wheat landraces whose genomic diversity had been previously assessed. These genomic data were combined with characterization for yield-related traits, including grain size and shape, and phenological traits screened across five seasons. The association analysis revealed a total of 881 significant marker trait associations, involving 434 markers across the genome, that could be grouped in 366 QTLs based on linkage disequilibrium. After accounting for days to heading, we defined 33 high density QTL genomic regions associated to at least four traits. Considering the importance of detecting stable QTLs, 6 regions associated to several grain traits and thousand kernel weight in at least three environments were selected as the most promising ones to harbour targets for breeding. To dissect the genetic cause of the observed associations, we studied the function and in silico expression of the 413 genes located inside these six regions. This identified 15 candidate genes that provide a starting point for future analysis aimed at the identification and validation of wheat yield related genes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-023-04492-x. |
format | Online Article Text |
id | pubmed-10643358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-106433582023-11-14 Genome wide association in Spanish bread wheat landraces identifies six key genomic regions that constitute potential targets for improving grain yield related traits López-Fernández, Matilde García-Abadillo, Julián Uauy, Cristobal Ruiz, Magdalena Giraldo, Patricia Pascual, Laura Theor Appl Genet Original Article KEY MESSAGE: Association mapping conducted in 189 Spanish bread wheat landraces revealed six key genomic regions that constitute stable QTLs for yield and include 15 candidate genes. ABSTRACT: Genetically diverse landraces provide an ideal population to conduct association analysis. In this study, association mapping was conducted in a collection of 189 Spanish bread wheat landraces whose genomic diversity had been previously assessed. These genomic data were combined with characterization for yield-related traits, including grain size and shape, and phenological traits screened across five seasons. The association analysis revealed a total of 881 significant marker trait associations, involving 434 markers across the genome, that could be grouped in 366 QTLs based on linkage disequilibrium. After accounting for days to heading, we defined 33 high density QTL genomic regions associated to at least four traits. Considering the importance of detecting stable QTLs, 6 regions associated to several grain traits and thousand kernel weight in at least three environments were selected as the most promising ones to harbour targets for breeding. To dissect the genetic cause of the observed associations, we studied the function and in silico expression of the 413 genes located inside these six regions. This identified 15 candidate genes that provide a starting point for future analysis aimed at the identification and validation of wheat yield related genes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-023-04492-x. Springer Berlin Heidelberg 2023-11-13 2023 /pmc/articles/PMC10643358/ /pubmed/37957405 http://dx.doi.org/10.1007/s00122-023-04492-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 | Original Article López-Fernández, Matilde García-Abadillo, Julián Uauy, Cristobal Ruiz, Magdalena Giraldo, Patricia Pascual, Laura Genome wide association in Spanish bread wheat landraces identifies six key genomic regions that constitute potential targets for improving grain yield related traits |
title | Genome wide association in Spanish bread wheat landraces identifies six key genomic regions that constitute potential targets for improving grain yield related traits |
title_full | Genome wide association in Spanish bread wheat landraces identifies six key genomic regions that constitute potential targets for improving grain yield related traits |
title_fullStr | Genome wide association in Spanish bread wheat landraces identifies six key genomic regions that constitute potential targets for improving grain yield related traits |
title_full_unstemmed | Genome wide association in Spanish bread wheat landraces identifies six key genomic regions that constitute potential targets for improving grain yield related traits |
title_short | Genome wide association in Spanish bread wheat landraces identifies six key genomic regions that constitute potential targets for improving grain yield related traits |
title_sort | genome wide association in spanish bread wheat landraces identifies six key genomic regions that constitute potential targets for improving grain yield related traits |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643358/ https://www.ncbi.nlm.nih.gov/pubmed/37957405 http://dx.doi.org/10.1007/s00122-023-04492-x |
work_keys_str_mv | AT lopezfernandezmatilde genomewideassociationinspanishbreadwheatlandracesidentifiessixkeygenomicregionsthatconstitutepotentialtargetsforimprovinggrainyieldrelatedtraits AT garciaabadillojulian genomewideassociationinspanishbreadwheatlandracesidentifiessixkeygenomicregionsthatconstitutepotentialtargetsforimprovinggrainyieldrelatedtraits AT uauycristobal genomewideassociationinspanishbreadwheatlandracesidentifiessixkeygenomicregionsthatconstitutepotentialtargetsforimprovinggrainyieldrelatedtraits AT ruizmagdalena genomewideassociationinspanishbreadwheatlandracesidentifiessixkeygenomicregionsthatconstitutepotentialtargetsforimprovinggrainyieldrelatedtraits AT giraldopatricia genomewideassociationinspanishbreadwheatlandracesidentifiessixkeygenomicregionsthatconstitutepotentialtargetsforimprovinggrainyieldrelatedtraits AT pascuallaura genomewideassociationinspanishbreadwheatlandracesidentifiessixkeygenomicregionsthatconstitutepotentialtargetsforimprovinggrainyieldrelatedtraits |