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

Autor: 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
Přispěvatelé: Aarhus University [Aarhus], University of Reading (UOR), Agroécologie [Dijon], Université de Bourgogne (UB)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Dijon, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Centre for AgriBioscience, Bundoora, Georg-August-University = Georg-August-Universität Göttingen, Sejet Planteforædling, Nordic Seed, IFAPA Centro Alameda del Obispo, Instituto Andaluz de Investigación y Formación Agraria y Pesquera (IFAPA), Crops Research, Teagasc, Oak Park, Carlow, Natural Resources Institute Finland (LUKE), Open access funding provided by Royal Danish Library. Thework was funded by the European Union’s Horizon 2020 Programmefor Research & Innovation (grant agreement no. 727312 for theEUCLEG project, the ERA-NET Cofund SusCrop (grant no. 771134),part of the Joint Programming Initiative on Agriculture, Food Security,and Climate Change (FACCE-JPI) for the ProFaba project), InnovationFund Denmark (NORFAB: Protein for the Northern Hemisphere, grantno. 5158-00004B), and UK Research and Innovation for BEANS4N.AFRICA (grant award BB/P023509/1). The VICCI population wasdeveloped under a doctoral project between the University of Readingand Teagasc and was supported by the Irish Department of Agriculture,Food and the Marine (DAFM), under project 14/S/819 (the VirtualIrish Centre for Crop Improvement). The RSBP population was developed with the support of a PhD fellowship to Ahmed Warsame fromthe Islamic Development Bank, European Project: 771134, European Project: 727312
Rok vydání: 2023
Předmět:
Zdroj: 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, Link, W, Torres, A M, O'Sullivan, D M & Andersen, S U 2023, ' Genetic analysis of global faba bean diversity, agronomic traits and selection signatures ', Theoretical and Applied Genetics, vol. 136, no. 5, 114 . https://doi.org/10.1007/s00122-023-04360-8
TAG Theoretical and Applied Genetics
TAG Theoretical and Applied Genetics, 2023, 136 (114), ⟨10.1007/s00122-023-04360-8⟩
ISSN: 1432-2242
0040-5752
Popis: 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.
Databáze: OpenAIRE
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