Genetic diversity and patterns of population structure in Creole goats from the Americas

Autores
Ginja, Catarina; Gama, Luis T.; Martinez, Amparo; Sevane Fernandez, Natalia; Martin-Burriel, Inmaculada; Lanari, Maria Rosa; Revidatti, María Antonia Susana; Aranguren Mendez, Jose Atilio; Bedotti, Daniel Osvaldo; Ribeiro, Maria Norma; Sponenberg, D. Phillip; Aguirre Riofrío, Edgar Lenin; Alvarez Franco, Luz Angela; Menezes, M.P.C.; Chacón Marcheco, Edilberto; Galarza, Alexander Josué; Gómez Urviola, Nilton César; Martinez Lopez, Oscar Roberto; Cavalcanti Pimenta, Edgard; da Rocha, Laura Leandro; Stemmer, Angelika; Landi, Vicenzo; Delgado Bermejo, Juan Vicente
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Biodiversity studies are more efficient when large numbers of breeds belonging to several countries are involved, as they allow for an in-depth analysis of the within- and between-breed components of genetic diversity. A set of 21 microsatellites was used to investigate the genetic composition of 24 Creole goat breeds (910 animals) from 10 countries to estimate levels of genetic variability, infer population structure and understand genetic relationships among populations across the American continent. Three commercial transboundary breeds were included in the analyses to investigate admixture with Creole goats. Overall, the genetic diversity of Creole populations (mean number of alleles = 5.82 ? 1.14, observed heterozygosity = 0.585 ? 0.074) was moderate and slightly lower than what was detected in other studies with breeds from other regions. The Bayesian clustering analysis without prior information on source populations identified 22 breed clusters. Three groups comprised more than one population, namely from Brazil (Azul and Graúna; Moxotó and Repartida) and Argentina (Long and shorthair Chilluda, Pampeana Colorada and Angora-type goat). Substructure was found in Criolla Paraguaya. When prior information on sample origin was considered, 92% of the individuals were assigned to the source population (threshold q ≥ 0.700). Creole breeds are well-differentiated entities (mean coefficient of genetic differentiation = 0.111 ? 0.048, with the exception of isolated island populations). Dilution from admixture with commercial transboundary breeds appears to be negligible. Significant levels of inbreeding were detected (inbreeding coefficient > 0 in most Creole goat populations, P < 0.05). Our results provide a broad perspective on the extant genetic diversity of Creole goats, however further studies are needed to understand whether the observed geographical patterns of population structure may reflect the mode of goat colonization in the Americas.
Estación Experimental Agropecuaria Bariloche
Fil: Ginja, Catarina. Universidad de Porto; Portugal
Fil: Gama, Luis T. Universidade de Lisboa. Faculdade de Medicina Veterinaria; Portugal
Fil: Martinez, Amparo. Universidad de Córdoba. Departamento de Genética; España
Fil: Sevane Fernandez, Natalia. Universidad Complutense de Madrid. Departamento de Producción Animal; España
Fil: Martin-Burriel, Inmaculada. Universidad de Zaragoza. Facultad de Veterinaria; España
Fil: Lanari, María Rosa. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: Revidatti, María Antonia Susana. Universidad Nacional del Nordeste. Facultad de Ciencias Veterinarias; Argentina
Fil: Aranguren Mendez, Jose Atilio. Universidad de Zulia. Facultad de Ciencias Veterinarias; Venezuela
Fil: Bedotti, Daniel Osvaldo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina
Fil: Ribeiro, Maria Norma. Universidade Federal Rural de Pernambuco. Departamento de Zootecnia; Brasil
Fil: Sponenberg, D. Phillip.Virginia Tech. Virginia-Maryland Regional College of Veterinary Medicine; Estados Unidos
Fil: Aguirre Riofrío, Edgar Lenin. Universidad Nacional de Loja, Ecuador
Fil: Alvarez Franco, Luz Angela. Universidad Nacional de Colombia; Colombia
Fil: Menezes, M.P.C. Universidad Federal de Paraiba; Brasil
Fil: Chacón Marcheco, Edilberto. Universidad Tecnica de Cotopaxi; Ecuador
Fil: Galarza, Alexander Josué. Universidad Mayor de San Simón; Bolivia
Fil: Gómez Urviola, Nilton César. Universidad Nacional Micaela Bastidas de Apurimac; Perú
Fil: Martinez Lopez, Oscar Roberto. Universidad Nacional de Asunción. Centro Multidisciplinario de Investigaciones Tecnológicas, Dirección General de Investigación Científica y Tecnológica; Paraguay
Fil: Cavalcanti Pimenta, Edgard. Universidad Federal de Paraiba; Brasil
Fil: da Rocha, Laura Leandro. Universidade Federal Rural de Pernambuco. Departamento de Zootecnia; Brasil
Fil: Stemmer, Angelika. Universidad Mayor de San Simón; Bolivia
Fil: Landi, Vicenzo. Universidad de Córdoba. Departamento de Genética; España
Fil: Delgado Bermejo, Juan Vicente. Universidad de Córdoba. Departamento de Genética; España
Fuente
Animal genetics 48 : 315–329. (June 2017)
Materia
Cabra
Nannygoats
Variación Genética
Genetic Variation
América del Sur
South America
Cabras Criollas
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/5577

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spelling Genetic diversity and patterns of population structure in Creole goats from the AmericasGinja, CatarinaGama, Luis T.Martinez, AmparoSevane Fernandez, NataliaMartin-Burriel, InmaculadaLanari, Maria RosaRevidatti, María Antonia SusanaAranguren Mendez, Jose AtilioBedotti, Daniel OsvaldoRibeiro, Maria NormaSponenberg, D. PhillipAguirre Riofrío, Edgar LeninAlvarez Franco, Luz AngelaMenezes, M.P.C.Chacón Marcheco, EdilbertoGalarza, Alexander JosuéGómez Urviola, Nilton CésarMartinez Lopez, Oscar RobertoCavalcanti Pimenta, Edgardda Rocha, Laura LeandroStemmer, AngelikaLandi, VicenzoDelgado Bermejo, Juan VicenteCabraNannygoatsVariación GenéticaGenetic VariationAmérica del SurSouth AmericaCabras CriollasBiodiversity studies are more efficient when large numbers of breeds belonging to several countries are involved, as they allow for an in-depth analysis of the within- and between-breed components of genetic diversity. A set of 21 microsatellites was used to investigate the genetic composition of 24 Creole goat breeds (910 animals) from 10 countries to estimate levels of genetic variability, infer population structure and understand genetic relationships among populations across the American continent. Three commercial transboundary breeds were included in the analyses to investigate admixture with Creole goats. Overall, the genetic diversity of Creole populations (mean number of alleles = 5.82 ? 1.14, observed heterozygosity = 0.585 ? 0.074) was moderate and slightly lower than what was detected in other studies with breeds from other regions. The Bayesian clustering analysis without prior information on source populations identified 22 breed clusters. Three groups comprised more than one population, namely from Brazil (Azul and Graúna; Moxotó and Repartida) and Argentina (Long and shorthair Chilluda, Pampeana Colorada and Angora-type goat). Substructure was found in Criolla Paraguaya. When prior information on sample origin was considered, 92% of the individuals were assigned to the source population (threshold q ≥ 0.700). Creole breeds are well-differentiated entities (mean coefficient of genetic differentiation = 0.111 ? 0.048, with the exception of isolated island populations). Dilution from admixture with commercial transboundary breeds appears to be negligible. Significant levels of inbreeding were detected (inbreeding coefficient > 0 in most Creole goat populations, P < 0.05). Our results provide a broad perspective on the extant genetic diversity of Creole goats, however further studies are needed to understand whether the observed geographical patterns of population structure may reflect the mode of goat colonization in the Americas.Estación Experimental Agropecuaria BarilocheFil: Ginja, Catarina. Universidad de Porto; PortugalFil: Gama, Luis T. Universidade de Lisboa. Faculdade de Medicina Veterinaria; PortugalFil: Martinez, Amparo. Universidad de Córdoba. Departamento de Genética; EspañaFil: Sevane Fernandez, Natalia. Universidad Complutense de Madrid. Departamento de Producción Animal; EspañaFil: Martin-Burriel, Inmaculada. Universidad de Zaragoza. Facultad de Veterinaria; EspañaFil: Lanari, María Rosa. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; ArgentinaFil: Revidatti, María Antonia Susana. Universidad Nacional del Nordeste. Facultad de Ciencias Veterinarias; ArgentinaFil: Aranguren Mendez, Jose Atilio. Universidad de Zulia. Facultad de Ciencias Veterinarias; VenezuelaFil: Bedotti, Daniel Osvaldo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; ArgentinaFil: Ribeiro, Maria Norma. Universidade Federal Rural de Pernambuco. Departamento de Zootecnia; BrasilFil: Sponenberg, D. Phillip.Virginia Tech. Virginia-Maryland Regional College of Veterinary Medicine; Estados UnidosFil: Aguirre Riofrío, Edgar Lenin. Universidad Nacional de Loja, EcuadorFil: Alvarez Franco, Luz Angela. Universidad Nacional de Colombia; ColombiaFil: Menezes, M.P.C. Universidad Federal de Paraiba; BrasilFil: Chacón Marcheco, Edilberto. Universidad Tecnica de Cotopaxi; EcuadorFil: Galarza, Alexander Josué. Universidad Mayor de San Simón; BoliviaFil: Gómez Urviola, Nilton César. Universidad Nacional Micaela Bastidas de Apurimac; PerúFil: Martinez Lopez, Oscar Roberto. Universidad Nacional de Asunción. Centro Multidisciplinario de Investigaciones Tecnológicas, Dirección General de Investigación Científica y Tecnológica; ParaguayFil: Cavalcanti Pimenta, Edgard. Universidad Federal de Paraiba; BrasilFil: da Rocha, Laura Leandro. Universidade Federal Rural de Pernambuco. Departamento de Zootecnia; BrasilFil: Stemmer, Angelika. Universidad Mayor de San Simón; BoliviaFil: Landi, Vicenzo. Universidad de Córdoba. Departamento de Genética; EspañaFil: Delgado Bermejo, Juan Vicente. Universidad de Córdoba. Departamento de Genética; EspañaWiley2019-07-29T14:29:32Z2019-07-29T14:29:32Z2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/55771365-2052https://doi.org/10.1111/age.12529Animal genetics 48 : 315–329. (June 2017)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-11-06T09:40:04Zoai:localhost:20.500.12123/5577instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-11-06 09:40:04.665INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Genetic diversity and patterns of population structure in Creole goats from the Americas
title Genetic diversity and patterns of population structure in Creole goats from the Americas
spellingShingle Genetic diversity and patterns of population structure in Creole goats from the Americas
Ginja, Catarina
Cabra
Nannygoats
Variación Genética
Genetic Variation
América del Sur
South America
Cabras Criollas
title_short Genetic diversity and patterns of population structure in Creole goats from the Americas
title_full Genetic diversity and patterns of population structure in Creole goats from the Americas
title_fullStr Genetic diversity and patterns of population structure in Creole goats from the Americas
title_full_unstemmed Genetic diversity and patterns of population structure in Creole goats from the Americas
title_sort Genetic diversity and patterns of population structure in Creole goats from the Americas
dc.creator.none.fl_str_mv Ginja, Catarina
Gama, Luis T.
Martinez, Amparo
Sevane Fernandez, Natalia
Martin-Burriel, Inmaculada
Lanari, Maria Rosa
Revidatti, María Antonia Susana
Aranguren Mendez, Jose Atilio
Bedotti, Daniel Osvaldo
Ribeiro, Maria Norma
Sponenberg, D. Phillip
Aguirre Riofrío, Edgar Lenin
Alvarez Franco, Luz Angela
Menezes, M.P.C.
Chacón Marcheco, Edilberto
Galarza, Alexander Josué
Gómez Urviola, Nilton César
Martinez Lopez, Oscar Roberto
Cavalcanti Pimenta, Edgard
da Rocha, Laura Leandro
Stemmer, Angelika
Landi, Vicenzo
Delgado Bermejo, Juan Vicente
author Ginja, Catarina
author_facet Ginja, Catarina
Gama, Luis T.
Martinez, Amparo
Sevane Fernandez, Natalia
Martin-Burriel, Inmaculada
Lanari, Maria Rosa
Revidatti, María Antonia Susana
Aranguren Mendez, Jose Atilio
Bedotti, Daniel Osvaldo
Ribeiro, Maria Norma
Sponenberg, D. Phillip
Aguirre Riofrío, Edgar Lenin
Alvarez Franco, Luz Angela
Menezes, M.P.C.
Chacón Marcheco, Edilberto
Galarza, Alexander Josué
Gómez Urviola, Nilton César
Martinez Lopez, Oscar Roberto
Cavalcanti Pimenta, Edgard
da Rocha, Laura Leandro
Stemmer, Angelika
Landi, Vicenzo
Delgado Bermejo, Juan Vicente
author_role author
author2 Gama, Luis T.
Martinez, Amparo
Sevane Fernandez, Natalia
Martin-Burriel, Inmaculada
Lanari, Maria Rosa
Revidatti, María Antonia Susana
Aranguren Mendez, Jose Atilio
Bedotti, Daniel Osvaldo
Ribeiro, Maria Norma
Sponenberg, D. Phillip
Aguirre Riofrío, Edgar Lenin
Alvarez Franco, Luz Angela
Menezes, M.P.C.
Chacón Marcheco, Edilberto
Galarza, Alexander Josué
Gómez Urviola, Nilton César
Martinez Lopez, Oscar Roberto
Cavalcanti Pimenta, Edgard
da Rocha, Laura Leandro
Stemmer, Angelika
Landi, Vicenzo
Delgado Bermejo, Juan Vicente
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Cabra
Nannygoats
Variación Genética
Genetic Variation
América del Sur
South America
Cabras Criollas
topic Cabra
Nannygoats
Variación Genética
Genetic Variation
América del Sur
South America
Cabras Criollas
dc.description.none.fl_txt_mv Biodiversity studies are more efficient when large numbers of breeds belonging to several countries are involved, as they allow for an in-depth analysis of the within- and between-breed components of genetic diversity. A set of 21 microsatellites was used to investigate the genetic composition of 24 Creole goat breeds (910 animals) from 10 countries to estimate levels of genetic variability, infer population structure and understand genetic relationships among populations across the American continent. Three commercial transboundary breeds were included in the analyses to investigate admixture with Creole goats. Overall, the genetic diversity of Creole populations (mean number of alleles = 5.82 ? 1.14, observed heterozygosity = 0.585 ? 0.074) was moderate and slightly lower than what was detected in other studies with breeds from other regions. The Bayesian clustering analysis without prior information on source populations identified 22 breed clusters. Three groups comprised more than one population, namely from Brazil (Azul and Graúna; Moxotó and Repartida) and Argentina (Long and shorthair Chilluda, Pampeana Colorada and Angora-type goat). Substructure was found in Criolla Paraguaya. When prior information on sample origin was considered, 92% of the individuals were assigned to the source population (threshold q ≥ 0.700). Creole breeds are well-differentiated entities (mean coefficient of genetic differentiation = 0.111 ? 0.048, with the exception of isolated island populations). Dilution from admixture with commercial transboundary breeds appears to be negligible. Significant levels of inbreeding were detected (inbreeding coefficient > 0 in most Creole goat populations, P < 0.05). Our results provide a broad perspective on the extant genetic diversity of Creole goats, however further studies are needed to understand whether the observed geographical patterns of population structure may reflect the mode of goat colonization in the Americas.
Estación Experimental Agropecuaria Bariloche
Fil: Ginja, Catarina. Universidad de Porto; Portugal
Fil: Gama, Luis T. Universidade de Lisboa. Faculdade de Medicina Veterinaria; Portugal
Fil: Martinez, Amparo. Universidad de Córdoba. Departamento de Genética; España
Fil: Sevane Fernandez, Natalia. Universidad Complutense de Madrid. Departamento de Producción Animal; España
Fil: Martin-Burriel, Inmaculada. Universidad de Zaragoza. Facultad de Veterinaria; España
Fil: Lanari, María Rosa. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina
Fil: Revidatti, María Antonia Susana. Universidad Nacional del Nordeste. Facultad de Ciencias Veterinarias; Argentina
Fil: Aranguren Mendez, Jose Atilio. Universidad de Zulia. Facultad de Ciencias Veterinarias; Venezuela
Fil: Bedotti, Daniel Osvaldo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina
Fil: Ribeiro, Maria Norma. Universidade Federal Rural de Pernambuco. Departamento de Zootecnia; Brasil
Fil: Sponenberg, D. Phillip.Virginia Tech. Virginia-Maryland Regional College of Veterinary Medicine; Estados Unidos
Fil: Aguirre Riofrío, Edgar Lenin. Universidad Nacional de Loja, Ecuador
Fil: Alvarez Franco, Luz Angela. Universidad Nacional de Colombia; Colombia
Fil: Menezes, M.P.C. Universidad Federal de Paraiba; Brasil
Fil: Chacón Marcheco, Edilberto. Universidad Tecnica de Cotopaxi; Ecuador
Fil: Galarza, Alexander Josué. Universidad Mayor de San Simón; Bolivia
Fil: Gómez Urviola, Nilton César. Universidad Nacional Micaela Bastidas de Apurimac; Perú
Fil: Martinez Lopez, Oscar Roberto. Universidad Nacional de Asunción. Centro Multidisciplinario de Investigaciones Tecnológicas, Dirección General de Investigación Científica y Tecnológica; Paraguay
Fil: Cavalcanti Pimenta, Edgard. Universidad Federal de Paraiba; Brasil
Fil: da Rocha, Laura Leandro. Universidade Federal Rural de Pernambuco. Departamento de Zootecnia; Brasil
Fil: Stemmer, Angelika. Universidad Mayor de San Simón; Bolivia
Fil: Landi, Vicenzo. Universidad de Córdoba. Departamento de Genética; España
Fil: Delgado Bermejo, Juan Vicente. Universidad de Córdoba. Departamento de Genética; España
description Biodiversity studies are more efficient when large numbers of breeds belonging to several countries are involved, as they allow for an in-depth analysis of the within- and between-breed components of genetic diversity. A set of 21 microsatellites was used to investigate the genetic composition of 24 Creole goat breeds (910 animals) from 10 countries to estimate levels of genetic variability, infer population structure and understand genetic relationships among populations across the American continent. Three commercial transboundary breeds were included in the analyses to investigate admixture with Creole goats. Overall, the genetic diversity of Creole populations (mean number of alleles = 5.82 ? 1.14, observed heterozygosity = 0.585 ? 0.074) was moderate and slightly lower than what was detected in other studies with breeds from other regions. The Bayesian clustering analysis without prior information on source populations identified 22 breed clusters. Three groups comprised more than one population, namely from Brazil (Azul and Graúna; Moxotó and Repartida) and Argentina (Long and shorthair Chilluda, Pampeana Colorada and Angora-type goat). Substructure was found in Criolla Paraguaya. When prior information on sample origin was considered, 92% of the individuals were assigned to the source population (threshold q ≥ 0.700). Creole breeds are well-differentiated entities (mean coefficient of genetic differentiation = 0.111 ? 0.048, with the exception of isolated island populations). Dilution from admixture with commercial transboundary breeds appears to be negligible. Significant levels of inbreeding were detected (inbreeding coefficient > 0 in most Creole goat populations, P < 0.05). Our results provide a broad perspective on the extant genetic diversity of Creole goats, however further studies are needed to understand whether the observed geographical patterns of population structure may reflect the mode of goat colonization in the Americas.
publishDate 2017
dc.date.none.fl_str_mv 2017
2019-07-29T14:29:32Z
2019-07-29T14:29:32Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
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dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/5577
1365-2052
https://doi.org/10.1111/age.12529
url http://hdl.handle.net/20.500.12123/5577
https://doi.org/10.1111/age.12529
identifier_str_mv 1365-2052
dc.language.none.fl_str_mv eng
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv Animal genetics 48 : 315–329. (June 2017)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
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repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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