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Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes

  • Licia Colli
  • , Marco Milanesi
  • , Andrea Talenti
  • , Francesca Bertolini
  • , Minhui Chen
  • , Alessandra Crisà
  • , Kevin Gerard Daly
  • , Marcello Del Corvo
  • , Bernt Guldbrandtsen
  • , Johannes A Lenstra
  • , Benjamin D Rosen
  • , Elia Vajana
  • , Gennaro Catillo
  • , Stéphane Joost
  • , Ezequiel Luis Nicolazzi
  • , Estelle Rochat
  • , Max F Rothschild
  • , Bertrand Servin
  • , Tad S Sonstegard
  • , Roberto Steri
  • Curtis P Van Tassell, Paolo Ajmone-Marsan, Paola Crepaldi, Alessandra Stella, AdaptMap Consortium
    • BioDNA Centro di Ricerca sulla Biodiversità e sul DNA Antico, Università Cattolica del S. Cuore, Piacenza, Italy. [email protected].
    • School of Veterinary Medicine, Department of Support, Production and Animal Health, São Paulo State University (UNESP), Araçatuba, Brazil.
    • Dipartimento di Medicina Veterinaria, University of Milan, Milan, Italy.
    • National Institute of Aquatic Resources, Technical University of Denmark, DTU, Lyngby, Denmark.
    • Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
    • Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA) - Research Centre for Animal Production and Aquaculture, Monterotondo, Rome, Italy.
    • Population Genetics Lab, Smurfit Institute of Genetics, Trinity College of Dublin, Dublin, Ireland.
    • DIANA Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Università Cattolica del S. Cuore, Piacenza, Italy.
    • Department of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, Århus, Denmark.
    • b Faculty of Veterinary Medicine , Utrecht University , Utrecht , The Netherlands.
    • Animal Genomics and Improvement Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD, USA.
    • Laboratory of Geographic Information Systems (LASIG), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
    • Fondazione Parco Tecnologico Padano, Lodi, Italy.
    • Department of Animal Science, Iowa State University, Ames, IA, USA.
    • GenPhySE, INRA, Université de Toulouse, INPT, ENVT, 31326, Castanet Tolosan, France.
    • Recombinetics Inc., Saint Paul, MN, USA.
    • BioDNA Centro di Ricerca sulla Biodiversità e sul DNA Antico, Università Cattolica del S. Cuore, Piacenza, Italy.
    • Istituto di Biologia e Biotecnologia Agraria, Consiglio Nazionale delle Ricerche, Milan, Italy.

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    BACKGROUND: Goat populations that are characterized within the AdaptMap project cover a large part of the worldwide distribution of this species and provide the opportunity to assess their diversity at a global scale. We analysed genome-wide 50 K single nucleotide polymorphism (SNP) data from 144 populations to describe the global patterns of molecular variation, compare them to those observed in other livestock species, and identify the drivers that led to the current distribution of goats.

    RESULTS: A high degree of genetic variability exists among the goat populations studied. Our results highlight a strong partitioning of molecular diversity between and within continents. Three major gene pools correspond to goats from Europe, Africa and West Asia. Dissection of sub-structures disclosed regional gene pools, which reflect the main post-domestication migration routes. We also identified several exchanges, mainly in African populations, and which often involve admixed and cosmopolitan breeds. Extensive gene flow has taken place within specific areas (e.g., south Europe, Morocco and Mali-Burkina Faso-Nigeria), whereas elsewhere isolation due to geographical barriers (e.g., seas or mountains) or human management has decreased local gene flows.

    CONCLUSIONS: After domestication in the Fertile Crescent in the early Neolithic era (ca. 12,000 YBP), domestic goats that already carried differentiated gene pools spread to Europe, Africa and Asia. The spread of these populations determined the major genomic background of the continental populations, which currently have a more marked subdivision than that observed in other ruminant livestock species. Subsequently, further diversification occurred at the regional level due to geographical and reproductive isolation, which was accompanied by additional migrations and/or importations, the traces of which are still detectable today. The effects of breed formation were clearly detected, particularly in Central and North Europe. Overall, our results highlight a remarkable diversity that occurs at the global scale and is locally partitioned and often affected by introgression from cosmopolitan breeds. These findings support the importance of long-term preservation of goat diversity, and provide a useful framework for investigating adaptive introgression, directing genetic improvement and choosing breeding targets.

    Original languageEnglish
    Article number58
    JournalGenetics Selection Evolution
    Volume50
    Issue number1
    DOIs
    Publication statusPublished - 19 Nov 2018

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