Year: 2023
Type: article
Abstract: KEY MESSAGE: We identified marker-trait associations for key faba bean agronomic traits and genomic signatures of selection within a global germplasm collection. 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.
Source: Theoretical and Applied Genetics
Authors: 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
Institutions: Aarhus University, University of Reading, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Agroécologie, Institut Agro Dijon, Agriculture Victoria, AgriBio, University of Göttingen, Sejet Plant Breeding, Nordic Seed A/S (Denmark), Andalusian Institute of Agricultural and Fisheries Research and Training, Teagasc - The Irish Agriculture and Food Development Authority, Natural Resources Institute Finland
Language: English
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: hybrid
Estimated APC paid: $4,490
Funders: Aarhus Universitet, Innovationsfonden, UK Research and Innovation, European Commission, University of Reading, Department of Agriculture, Food and the Marine, Ireland, Teagasc, Agence Nationale de la Recherche, Islamic Development Bank, Biotechnology and Biological Sciences Research Council, Horizon 2020
Awards: ERA-NET Cofund on Sustainable Crop Production, G2197263128, G3984578951, G4137120885, G434337789, G5044358982, G6097565884, Breeding forage and grain legumes to increase EU's and China's protein self-sufficiency, Developing improved Vicia faba breeding practices and varieties to drive domestic protein production in the European Union, Traits and technologies to boost North African protein self-sufficiency (BEANS4N.AFRICA)
OpenAlex ID: W4366351375