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Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes
Genetics Selection Evolution
  • Licia Colli, Università Cattolica del S. Cuore
  • Marco Milanesi, Università Cattolica del S. Cuore
  • Andrea Talenti, University of Milan
  • Francesca Bertolini, Iowa State University
  • Minhui Chen, Aarhus University
  • Alessandra Crisà, Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria (CREA)
  • Kevin Gerard Daly, Trinity College of Dublin
  • Marcello Del Corvo, Università Cattolica del S. Cuore
  • Bernt Guldbrandtsen, Aarhus University
  • Johannes A. Lenstra, Utrecht University
  • Benjamin D. Rosen, United States Department of Agriculture
  • Elia Vajana, Università Cattolica del S. Cuore
  • Gennaro Catillo, Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria (CREA)
  • Stéphane Joost, École Polytechnique Fédérale de Lausanne (EPFL)
  • Ezequiel Luis Nicolazzi, Fondazione Parco Tecnologico Padano
  • Estelle Rochat, École Polytechnique Fédérale de Lausanne (EPFL)
  • Max F. Rothschild, Iowa State University
  • Bertrand Servin, Université de Toulouse
  • Tad S. Sonstegard, Recombinetics Inc.
  • Roberto Steri, Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria (CREA)
  • Curtis P. Van Tassell, United States Department of Agriculture
  • Paolo Ajmone‑Marsan, Università Cattolica del S. Cuore
  • Paola Crepaldi, University of Milan
  • Alessandra Stella, Fondazione Parco Tecnologico Padano
  • AdaptMap Consortium, AdaptMap Consortium
Document Type
Article
Publication Version
Published Version
Publication Date
11-19-2018
DOI
10.1186/s12711-018-0422-x
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.

Comments

This article is published as Colli, Licia, Marco Milanesi, Andrea Talenti, Francesca Bertolini, Minhui Chen, Alessandra Crisà, Kevin Gerard Daly et al. "Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes." Genetics Selection Evolution 50 (2018): 58. doi: 10.1186/s12711-018-0422-x.

Rights
Works produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted.
Creative Commons License
Creative Commons Attribution 4.0 International
Copyright Owner
The Authors
Language
en
File Format
application/pdf
Citation Information
Licia Colli, Marco Milanesi, Andrea Talenti, Francesca Bertolini, et al.. "Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes" Genetics Selection Evolution Vol. 50 (2018) p. 58
Available at: http://works.bepress.com/max-rothschild/259/