Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1186/s12711-018-0422-x http://hdl.handle.net/11449/187069 |
Resumo: | 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. |
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Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routesBackground: 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.DIANA Dipartimento di Scienze Animali della Nutrizione e Degli Alimenti Università Cattolica Del S. CuoreBioDNA Centro di Ricerca sulla Biodiversità e sul DNA Antico Università Cattolica Del S. CuoreSchool of Veterinary Medicine Department of Support Production and Animal Health São Paulo State University (UNESP)Dipartimento di Medicina Veterinaria University of MilanDepartment of Animal Science Iowa State UniversityDepartment of Molecular Biology and Genetics Center for Quantitative Genetics and Genomics Aarhus UniversityCons. per la Ric. in Agricoltura e l'Analisi dell'Economia Agraria - Res. Ctr. for Anim. Prod. and Aquacult.Population Genetics Lab Smurfit Institute of Genetics Trinity College of DublinFaculty of Veterinary Medicine Utrecht UniversityAnimal Genomics and Improvement Laboratory Agricultural Research Service United States Department of AgricultureLaboratory of Geographic Information Systems (LASIG) Sch. of Architecture Civil and Environmental Engineering Ecole Polytechnique Federale de LausanneFondazione Parco Tecnologico PadanoGenPhySE INRA Université de Toulouse INPT ENVTRecombinetics Inc.National Institute of Aquatic Resources Technical University of Denmark DTUCenter for Genetic Epidemiology Department of Preventive Medicine Keck School of Medicine University of Southern CaliforniaIstituto di Biologia e Biotecnologia Agraria Consiglio Nazionale Delle RicercheSchool of Veterinary Medicine Department of Support Production and Animal Health São Paulo State University (UNESP)Università Cattolica Del S. CuoreUniversidade Estadual Paulista (Unesp)University of MilanIowa State UniversityAarhus UniversityCons. per la Ric. in Agricoltura e l'Analisi dell'Economia Agraria - Res. Ctr. for Anim. Prod. and Aquacult.Trinity College of DublinUtrecht UniversityUnited States Department of AgricultureEcole Polytechnique Federale de LausanneFondazione Parco Tecnologico PadanoENVTRecombinetics Inc.DTUUniversity of Southern CaliforniaConsiglio Nazionale Delle RicercheColli, LiciaMilanesi, Marco [UNESP]Talenti, AndreaBertolini, FrancescaChen, MinhuiCrisà, AlessandraDaly, Kevin GerardDel Corvo, MarcelloGuldbrandtsen, BerntLenstra, Johannes A.Rosen, Benjamin D.Vajana, EliaCatillo, GennaroJoost, StéphaneNicolazzi, Ezequiel LuisRochat, EstelleRothschild, Max F.Servin, BertrandSonstegard, Tad S.Steri, RobertoVan Tassell, Curtis P.Ajmone-Marsan, PaoloCrepaldi, PaolaStella, Alessandra2019-10-06T15:24:31Z2019-10-06T15:24:31Z2018-11-19info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1186/s12711-018-0422-xGenetics Selection Evolution, v. 50, n. 1, 2018.1297-96860999-193Xhttp://hdl.handle.net/11449/18706910.1186/s12711-018-0422-x2-s2.0-85056608137Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengGenetics Selection Evolutioninfo:eu-repo/semantics/openAccess2021-10-23T15:54:51Zoai:repositorio.unesp.br:11449/187069Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:07:41.193362Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes |
title |
Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes |
spellingShingle |
Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes Colli, Licia |
title_short |
Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes |
title_full |
Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes |
title_fullStr |
Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes |
title_full_unstemmed |
Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes |
title_sort |
Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes |
author |
Colli, Licia |
author_facet |
Colli, Licia Milanesi, Marco [UNESP] Talenti, Andrea Bertolini, Francesca Chen, Minhui Crisà, Alessandra Daly, Kevin Gerard Del Corvo, Marcello Guldbrandtsen, Bernt Lenstra, Johannes A. Rosen, Benjamin D. Vajana, Elia Catillo, Gennaro Joost, Stéphane Nicolazzi, Ezequiel Luis Rochat, Estelle Rothschild, Max F. Servin, Bertrand Sonstegard, Tad S. Steri, Roberto Van Tassell, Curtis P. Ajmone-Marsan, Paolo Crepaldi, Paola Stella, Alessandra |
author_role |
author |
author2 |
Milanesi, Marco [UNESP] Talenti, Andrea Bertolini, Francesca Chen, Minhui Crisà, Alessandra Daly, Kevin Gerard Del Corvo, Marcello Guldbrandtsen, Bernt Lenstra, Johannes A. Rosen, Benjamin D. Vajana, Elia Catillo, Gennaro Joost, Stéphane Nicolazzi, Ezequiel Luis Rochat, Estelle Rothschild, Max F. Servin, Bertrand Sonstegard, Tad S. Steri, Roberto Van Tassell, Curtis P. Ajmone-Marsan, Paolo Crepaldi, Paola Stella, Alessandra |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Università Cattolica Del S. Cuore Universidade Estadual Paulista (Unesp) University of Milan Iowa State University Aarhus University Cons. per la Ric. in Agricoltura e l'Analisi dell'Economia Agraria - Res. Ctr. for Anim. Prod. and Aquacult. Trinity College of Dublin Utrecht University United States Department of Agriculture Ecole Polytechnique Federale de Lausanne Fondazione Parco Tecnologico Padano ENVT Recombinetics Inc. DTU University of Southern California Consiglio Nazionale Delle Ricerche |
dc.contributor.author.fl_str_mv |
Colli, Licia Milanesi, Marco [UNESP] Talenti, Andrea Bertolini, Francesca Chen, Minhui Crisà, Alessandra Daly, Kevin Gerard Del Corvo, Marcello Guldbrandtsen, Bernt Lenstra, Johannes A. Rosen, Benjamin D. Vajana, Elia Catillo, Gennaro Joost, Stéphane Nicolazzi, Ezequiel Luis Rochat, Estelle Rothschild, Max F. Servin, Bertrand Sonstegard, Tad S. Steri, Roberto Van Tassell, Curtis P. Ajmone-Marsan, Paolo Crepaldi, Paola Stella, Alessandra |
description |
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. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-11-19 2019-10-06T15:24:31Z 2019-10-06T15:24:31Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1186/s12711-018-0422-x Genetics Selection Evolution, v. 50, n. 1, 2018. 1297-9686 0999-193X http://hdl.handle.net/11449/187069 10.1186/s12711-018-0422-x 2-s2.0-85056608137 |
url |
http://dx.doi.org/10.1186/s12711-018-0422-x http://hdl.handle.net/11449/187069 |
identifier_str_mv |
Genetics Selection Evolution, v. 50, n. 1, 2018. 1297-9686 0999-193X 10.1186/s12711-018-0422-x 2-s2.0-85056608137 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Genetics Selection Evolution |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129394170920960 |