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

Cathrine Kiel Skovbjerg; Deepti Angra; Tom Robertson-Shersby-Harvie; Jonathan Kreplak; Gabriel Keeble-Gagnère; Sukhjiwan Kaur; Wolfgang Ecke; Alex Windhorst; Linda Kærgaard Nielsen; Andrea Schiemann; Jens Knudsen; Natalia Gutierrez; Vasiliki Tagkouli; Lavinia Ioana Fechete; Luc Janss; Jens Stougaard; Ahmed Warsame; Sheila Alves; Hamid Khazaei; Wolfgang Link; Ana Maria Torres; Donal Martin O'Sullivan; Stig Uggerhøj Andersen

doi:10.1007/s00122-023-04360-8

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

Cathrine Kiel Skovbjerg^*, Deepti Angra, Tom Robertson-Shersby-Harvie, Jonathan Kreplak, Gabriel Keeble-Gagnère, Sukhjiwan Kaur, Wolfgang Ecke, Alex Windhorst, Linda Kærgaard Nielsen, Andrea Schiemann, Jens Knudsen, Natalia Gutierrez, Vasiliki Tagkouli, Lavinia Ioana Fechete, Luc Janss, Jens Stougaard, Ahmed Warsame, Sheila Alves, Hamid Khazaei, Wolfgang LinkAna Maria Torres, Donal Martin O'Sullivan, Stig Uggerhøj Andersen^*

^*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

15 Citationer (Scopus)

Abstract

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.

Originalsprog	Engelsk
Artikelnummer	114
Tidsskrift	Theoretical and Applied Genetics
Vol/bind	136
Nummer	5
Antal sider	27
ISSN	0040-5752
DOI	https://doi.org/10.1007/s00122-023-04360-8
Status	Udgivet - maj 2023

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10.1007/s00122-023-04360-8Licens: CC BY

s00122-023-04360-8Forlagets udgivne version, 5,46 MBLicens: CC BY

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Skovbjerg, C. K., Angra, D., Robertson-Shersby-Harvie, T., Kreplak, J., Keeble-Gagnère, G., Kaur, S., Ecke, W., Windhorst, A., Nielsen, L. K., Schiemann, A., Knudsen, J., Gutierrez, N., Tagkouli, V., Fechete, L. I., Janss, L., Stougaard, J., Warsame, A., Alves, S., Khazaei, H., ... Andersen, S. U. (2023). Genetic analysis of global faba bean diversity, agronomic traits and selection signatures. Theoretical and Applied Genetics, 136(5), Artikel 114. https://doi.org/10.1007/s00122-023-04360-8

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

abstract = "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.",

author = "Skovbjerg, {Cathrine Kiel} and Deepti Angra and Tom Robertson-Shersby-Harvie and Jonathan Kreplak and Gabriel Keeble-Gagn{\`e}re and Sukhjiwan Kaur and Wolfgang Ecke and Alex Windhorst and Nielsen, {Linda K{\ae}rgaard} and Andrea Schiemann and Jens Knudsen and Natalia Gutierrez and Vasiliki Tagkouli and Fechete, {Lavinia Ioana} and Luc Janss and Jens Stougaard and Ahmed Warsame and Sheila Alves and Hamid Khazaei and Wolfgang Link and Torres, {Ana Maria} and O'Sullivan, {Donal Martin} and Andersen, {Stig Uggerh{\o}j}",

year = "2023",

month = may,

doi = "10.1007/s00122-023-04360-8",

language = "English",

volume = "136",

journal = "Theoretical and Applied Genetics",

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Skovbjerg, CK, Angra, D, Robertson-Shersby-Harvie, T, Kreplak, J, Keeble-Gagnère, G, Kaur, S, Ecke, W, Windhorst, A, Nielsen, LK, Schiemann, A, Knudsen, J, Gutierrez, N, Tagkouli, V, Fechete, LI , Janss, L , Stougaard, J, Warsame, A, Alves, S, Khazaei, H, Link, W, Torres, AM, O'Sullivan, DM & Andersen, SU 2023, 'Genetic analysis of global faba bean diversity, agronomic traits and selection signatures', Theoretical and Applied Genetics, bind 136, nr. 5, 114. https://doi.org/10.1007/s00122-023-04360-8

Genetic analysis of global faba bean diversity, agronomic traits and selection signatures. / Skovbjerg, Cathrine Kiel; Angra, Deepti; Robertson-Shersby-Harvie, Tom et al.
I: Theoretical and Applied Genetics, Bind 136, Nr. 5, 114, 05.2023.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

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T1 - Genetic analysis of global faba bean diversity, agronomic traits and selection signatures

AU - Skovbjerg, Cathrine Kiel

AU - Angra, Deepti

AU - Robertson-Shersby-Harvie, Tom

AU - Kreplak, Jonathan

AU - Keeble-Gagnère, Gabriel

AU - Kaur, Sukhjiwan

AU - Ecke, Wolfgang

AU - Windhorst, Alex

AU - Nielsen, Linda Kærgaard

AU - Schiemann, Andrea

AU - Knudsen, Jens

AU - Gutierrez, Natalia

AU - Tagkouli, Vasiliki

AU - Fechete, Lavinia Ioana

AU - Janss, Luc

AU - Stougaard, Jens

AU - Warsame, Ahmed

AU - Alves, Sheila

AU - Khazaei, Hamid

AU - Link, Wolfgang

AU - Torres, Ana Maria

AU - O'Sullivan, Donal Martin

AU - Andersen, Stig Uggerhøj

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N2 - 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.

AB - 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.

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U2 - 10.1007/s00122-023-04360-8

DO - 10.1007/s00122-023-04360-8

M3 - Journal article

C2 - 37074596

SN - 0040-5752

VL - 136

JO - Theoretical and Applied Genetics

JF - Theoretical and Applied Genetics

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ER -

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

Abstract

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