Your browser doesn't support javascript.
loading
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.
Afiliação
  • Skovbjerg CK; Department of Molecular Biology and Genetics, Aarhus University, 8000, Aarhus, Denmark. cks@qgg.au.dk.
  • Angra D; Center for Quantitative Genetics and Genomics, Aarhus University, 8000, Aarhus, Denmark. cks@qgg.au.dk.
  • Robertson-Shersby-Harvie T; School of Agriculture, Policy and Development, University of Reading, Reading, UK.
  • Kreplak J; School of Agriculture, Policy and Development, University of Reading, Reading, UK.
  • Keeble-Gagnère G; Agroécologie, AgroSup Dijon, INRAE, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, Dijon, France.
  • Kaur S; Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.
  • Ecke W; Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia.
  • Windhorst A; Department of Crop Sciences, Georg-August-University, Göttingen, Germany.
  • Nielsen LK; Georg-August-Universität Göttingen, DNPW, Carl-Sprengel 1, Germany.
  • Schiemann A; Sejet Planteforædling, 8700, Horsens, Denmark.
  • Knudsen J; Nordic Seed, 8300, Odder, Denmark.
  • Gutierrez N; Nordic Seed, 8300, Odder, Denmark.
  • Tagkouli V; Área de Mejora Vegetal y Biotecnología, IFAPA Centro "Alameda del Obispo", Apdo 3092, 14080, Córdoba, Spain.
  • Fechete LI; School of Agriculture, Policy and Development, University of Reading, Reading, UK.
  • Janss L; Department of Molecular Biology and Genetics, Aarhus University, 8000, Aarhus, Denmark.
  • Stougaard J; Center for Quantitative Genetics and Genomics, Aarhus University, 8000, Aarhus, Denmark.
  • Warsame A; Department of Molecular Biology and Genetics, Aarhus University, 8000, Aarhus, Denmark.
  • Alves S; School of Agriculture, Policy and Development, University of Reading, Reading, UK.
  • Khazaei H; Crops Research, Teagasc, Oak Park, Carlow, Ireland.
  • Link W; Production Systems, Natural Resources Institute Finland (Luke), Latokartanonkaari 9, 00790, Helsinki, Finland.
  • Torres AM; Georg-August-Universität Göttingen, DNPW, Carl-Sprengel 1, Germany.
  • O'Sullivan DM; Área de Mejora Vegetal y Biotecnología, IFAPA Centro "Alameda del Obispo", Apdo 3092, 14080, Córdoba, Spain.
  • Andersen SU; School of Agriculture, Policy and Development, University of Reading, Reading, UK.
Theor Appl Genet ; 136(5): 114, 2023 Apr 19.
Article em En | MEDLINE | ID: mdl-37074596
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vicia faba / Fabaceae Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vicia faba / Fabaceae Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article