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Genetic analysis of global faba bean diversity, agronomic traits and selection signatures

KEY MESSAGE: We identified marker-trait associations for key faba bean agronomic traits and genomic signatures of selection within a global germplasm collection. ABSTRACT: Faba bean (Vicia faba L.) is a high-protein grain legume crop with great potential for sustainable protein production. However,...

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Autores principales: Skovbjerg, Cathrine Kiel, Angra, Deepti, Robertson-Shersby-Harvie, Tom, Kreplak, Jonathan, Keeble-Gagnère, Gabriel, Kaur, Sukhjiwan, Ecke, Wolfgang, Windhorst, Alex, Nielsen, Linda Kærgaard, Schiemann, Andrea, Knudsen, Jens, Gutierrez, Natalia, Tagkouli, Vasiliki, Fechete, Lavinia Ioana, Janss, Luc, Stougaard, Jens, Warsame, Ahmed, Alves, Sheila, Khazaei, Hamid, Link, Wolfgang, Torres, Ana Maria, O’Sullivan, Donal Martin, Andersen, Stig Uggerhøj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115707/
https://www.ncbi.nlm.nih.gov/pubmed/37074596
http://dx.doi.org/10.1007/s00122-023-04360-8
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author Skovbjerg, Cathrine Kiel
Angra, Deepti
Robertson-Shersby-Harvie, Tom
Kreplak, Jonathan
Keeble-Gagnère, Gabriel
Kaur, Sukhjiwan
Ecke, Wolfgang
Windhorst, Alex
Nielsen, Linda Kærgaard
Schiemann, Andrea
Knudsen, Jens
Gutierrez, Natalia
Tagkouli, Vasiliki
Fechete, Lavinia Ioana
Janss, Luc
Stougaard, Jens
Warsame, Ahmed
Alves, Sheila
Khazaei, Hamid
Link, Wolfgang
Torres, Ana Maria
O’Sullivan, Donal Martin
Andersen, Stig Uggerhøj
author_facet Skovbjerg, Cathrine Kiel
Angra, Deepti
Robertson-Shersby-Harvie, Tom
Kreplak, Jonathan
Keeble-Gagnère, Gabriel
Kaur, Sukhjiwan
Ecke, Wolfgang
Windhorst, Alex
Nielsen, Linda Kærgaard
Schiemann, Andrea
Knudsen, Jens
Gutierrez, Natalia
Tagkouli, Vasiliki
Fechete, Lavinia Ioana
Janss, Luc
Stougaard, Jens
Warsame, Ahmed
Alves, Sheila
Khazaei, Hamid
Link, Wolfgang
Torres, Ana Maria
O’Sullivan, Donal Martin
Andersen, Stig Uggerhøj
author_sort Skovbjerg, Cathrine Kiel
collection PubMed
description KEY MESSAGE: We identified marker-trait associations for key faba bean agronomic traits and genomic signatures of selection within a global germplasm collection. ABSTRACT: Faba bean (Vicia faba L.) is a high-protein grain legume crop with great potential for sustainable protein production. However, little is known about the genetics underlying trait diversity. In this study, we used 21,345 high-quality SNP markers to genetically characterize 2678 faba bean genotypes. We performed genome-wide association studies of key agronomic traits using a seven-parent-MAGIC population and detected 238 significant marker-trait associations linked to 12 traits of agronomic importance. Sixty-five of these were stable across multiple environments. Using a non-redundant diversity panel of 685 accessions from 52 countries, we identified three subpopulations differentiated by geographical origin and 33 genomic regions subjected to strong diversifying selection between subpopulations. We found that SNP markers associated with the differentiation of northern and southern accessions explained a significant proportion of agronomic trait variance in the seven-parent-MAGIC population, suggesting that some of these traits were targets of selection during breeding. Our findings point to genomic regions associated with important agronomic traits and selection, facilitating faba bean genomics-based breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-023-04360-8.
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spelling pubmed-101157072023-04-21 Genetic analysis of global faba bean diversity, agronomic traits and selection signatures Skovbjerg, Cathrine Kiel Angra, Deepti Robertson-Shersby-Harvie, Tom Kreplak, Jonathan Keeble-Gagnère, Gabriel Kaur, Sukhjiwan Ecke, Wolfgang Windhorst, Alex Nielsen, Linda Kærgaard Schiemann, Andrea Knudsen, Jens Gutierrez, Natalia Tagkouli, Vasiliki Fechete, Lavinia Ioana Janss, Luc Stougaard, Jens Warsame, Ahmed Alves, Sheila Khazaei, Hamid Link, Wolfgang Torres, Ana Maria O’Sullivan, Donal Martin Andersen, Stig Uggerhøj Theor Appl Genet Original Article KEY MESSAGE: We identified marker-trait associations for key faba bean agronomic traits and genomic signatures of selection within a global germplasm collection. ABSTRACT: Faba bean (Vicia faba L.) is a high-protein grain legume crop with great potential for sustainable protein production. However, little is known about the genetics underlying trait diversity. In this study, we used 21,345 high-quality SNP markers to genetically characterize 2678 faba bean genotypes. We performed genome-wide association studies of key agronomic traits using a seven-parent-MAGIC population and detected 238 significant marker-trait associations linked to 12 traits of agronomic importance. Sixty-five of these were stable across multiple environments. Using a non-redundant diversity panel of 685 accessions from 52 countries, we identified three subpopulations differentiated by geographical origin and 33 genomic regions subjected to strong diversifying selection between subpopulations. We found that SNP markers associated with the differentiation of northern and southern accessions explained a significant proportion of agronomic trait variance in the seven-parent-MAGIC population, suggesting that some of these traits were targets of selection during breeding. Our findings point to genomic regions associated with important agronomic traits and selection, facilitating faba bean genomics-based breeding. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00122-023-04360-8. Springer Berlin Heidelberg 2023-04-19 2023 /pmc/articles/PMC10115707/ /pubmed/37074596 http://dx.doi.org/10.1007/s00122-023-04360-8 Text en © The Author(s) 2023 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
Skovbjerg, Cathrine Kiel
Angra, Deepti
Robertson-Shersby-Harvie, Tom
Kreplak, Jonathan
Keeble-Gagnère, Gabriel
Kaur, Sukhjiwan
Ecke, Wolfgang
Windhorst, Alex
Nielsen, Linda Kærgaard
Schiemann, Andrea
Knudsen, Jens
Gutierrez, Natalia
Tagkouli, Vasiliki
Fechete, Lavinia Ioana
Janss, Luc
Stougaard, Jens
Warsame, Ahmed
Alves, Sheila
Khazaei, Hamid
Link, Wolfgang
Torres, Ana Maria
O’Sullivan, Donal Martin
Andersen, Stig Uggerhøj
Genetic analysis of global faba bean diversity, agronomic traits and selection signatures
title Genetic analysis of global faba bean diversity, agronomic traits and selection signatures
title_full Genetic analysis of global faba bean diversity, agronomic traits and selection signatures
title_fullStr Genetic analysis of global faba bean diversity, agronomic traits and selection signatures
title_full_unstemmed Genetic analysis of global faba bean diversity, agronomic traits and selection signatures
title_short Genetic analysis of global faba bean diversity, agronomic traits and selection signatures
title_sort genetic analysis of global faba bean diversity, agronomic traits and selection signatures
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115707/
https://www.ncbi.nlm.nih.gov/pubmed/37074596
http://dx.doi.org/10.1007/s00122-023-04360-8
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