Signatures of selection and environmental adaptation across the goat genome post-domestication
Bertolini, Francesca (Technical University of Denmark. National Institute of Aquatic Resources)
Servin, Bertrand (GenPhySE)
Talenti, Andrea (Università degli Studi di Milano. Dipartimento di Medicina Veterinaria)
Rochat, Estelle (Ecole Polytechnique Fédérale de Lausanne)
Kim, Eui Soo (Recombinetics Inc)
Oget, Claire (GenPhySE)
Palhière, Isabelle (GenPhySE)
Crisà, Alessandra (Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria)
Catillo, Gennaro (Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria)
Steri, Roberto (Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria)
Amills i Eras, Marcel (Centre de Recerca en Agrigenòmica)
Colli, Licia (Università Cattolica del Sacro Cuore. Dipartimento Di Scienze Animali, Della Nutrizione E Degli Alimenti)
Marras, Gabriele (Fondazione Parco Tecnologico Padano)
Milanesi, Marco (São Paulo State University. Department of Support, Production and Animal Health)
Nicolazzi, Ezequiel (Fondazione Parco Tecnologico Padano)
Rosen, Benjamin D. (Animal Genomics and Improvement Laboratory (USA))
Van Tassell, Curtis (Animal Genomics and Improvement Laboratory (USA))
Guldbrandtsen, Bernt (Aarhus University. Center for Quantitative Genetics and Genomics)
Sonstegard, Tad S. (Recombinetics Inc)
Tosser-Klopp, Gwenola (GenPhySE)
Stella, Alessandra (Università Cattolica del S. Cuore)
Rothschild, Max F. (Iowa State University. Department of Animal Science)
Joost, Stéphane (Ecole Polytechnique Fédérale de Lausanne)
Crepaldi, Paola (Università degli Studi di Milano. Dipartimento di Medicina Veterinaria)
The AdaptMap consortium

Data:	2018
Resum:	Since goat was domesticated 10,000 years ago, many factors have contributed to the differentiation of goat breeds and these are classified mainly into two types: (i) adaptation to different breeding systems and/or purposes and (ii) adaptation to different environments. As a result, approximately 600 goat breeds have developed worldwide; they differ considerably from one another in terms of phenotypic characteristics and are adapted to a wide range of climatic conditions. In this work, we analyzed the AdaptMap goat dataset, which is composed of data from more than 3000 animals collected worldwide and genotyped with the CaprineSNP50 BeadChip. These animals were partitioned into groups based on geographical area, production uses, available records on solid coat color and environmental variables including the sampling geographical coordinates, to investigate the role of natural and/or artificial selection in shaping the genome of goat breeds. Several signatures of selection on different chromosomal regions were detected across the different breeds, sub-geographical clusters, phenotypic and climatic groups. These regions contain genes that are involved in important biological processes, such as milk-, meat- or fiber-related production, coat color, glucose pathway, oxidative stress response, size, and circadian clock differences. Our results confirm previous findings in other species on adaptation to extreme environments and human purposes and provide new genes that could explain some of the differences between goat breeds according to their geographical distribution and adaptation to different environments. These analyses of signatures of selection provide a comprehensive first picture of the global domestication process and adaptation of goat breeds and highlight possible genes that may have contributed to the differentiation of this species worldwide. The online version of this article (10. 1186/s12711-018-0421-y) contains supplementary material, which is available to authorized users.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Publicat a:	Genetics, selection, evolution, Vol. 50 (November 2018) , art. 57, ISSN 1297-9686

DOI: 10.1186/s12711-018-0421-y
PMID: 30449276

24 p, 2.8 MB

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