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resumen

Resumen
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 [ver mas...]
dc.contributor.authorGinja, Catarina
dc.contributor.authorGama, Luis T.
dc.contributor.authorMartinez, Amparo
dc.contributor.authorSevane Fernandez, Natalia
dc.contributor.authorMartin-Burriel, Inmaculada
dc.contributor.authorLanari, Maria Rosa
dc.contributor.authorRevidatti, María Antonia Susana
dc.contributor.authorAranguren Mendez, Jose Atilio
dc.contributor.authorBedotti, Daniel Osvaldo
dc.contributor.authorRibeiro, Maria Norma
dc.contributor.authorSponenberg, D. Phillip
dc.contributor.authorAguirre Riofrío, Edgar Lenin
dc.contributor.authorAlvarez Franco, Luz Angela
dc.contributor.authorMenezes, M.P.C.
dc.contributor.authorChacón Marcheco, Edilberto
dc.contributor.authorGalarza, Alexander Josué
dc.contributor.authorGómez Urviola, Nilton César
dc.contributor.authorMartinez Lopez, Oscar Roberto
dc.contributor.authorCavalcanti Pimenta, Edgard
dc.contributor.authorda Rocha, Laura Leandro
dc.contributor.authorStemmer, Angelika
dc.contributor.authorLandi, Vicenzo
dc.contributor.authorDelgado Bermejo, Juan Vicente
dc.date.accessioned2019-07-29T14:29:32Z
dc.date.available2019-07-29T14:29:32Z
dc.date.issued2017
dc.identifier.issn1365-2052
dc.identifier.otherhttps://doi.org/10.1111/age.12529
dc.identifier.urihttp://hdl.handle.net/20.500.12123/5577
dc.description.abstractBiodiversity 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.es_AR
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherWileyes_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceAnimal genetics 48 : 315–329. (June 2017)
dc.subjectCabraes_AR
dc.subjectNannygoatses_AR
dc.subjectVariación Genéticaes_AR
dc.subjectGenetic Variationes_AR
dc.subjectAmérica del Sur
dc.subjectSouth America
dc.subject.otherCabras Criollases_AR
dc.titleGenetic diversity and patterns of population structure in Creole goats from the Americases_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.origenEstación Experimental Agropecuaria Barilochees_AR
dc.description.filFil: Ginja, Catarina. Universidad de Porto; Portugales_AR
dc.description.filFil: Gama, Luis T. Universidade de Lisboa. Faculdade de Medicina Veterinaria; Portugales_AR
dc.description.filFil: Martinez, Amparo. Universidad de Córdoba. Departamento de Genética; Españaes_AR
dc.description.filFil: Sevane Fernandez, Natalia. Universidad Complutense de Madrid. Departamento de Producción Animal; Españaes_AR
dc.description.filFil: Martin-Burriel, Inmaculada. Universidad de Zaragoza. Facultad de Veterinaria; Españaes_AR
dc.description.filFil: Lanari, María Rosa. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentinaes_AR
dc.description.filFil: Revidatti, María Antonia Susana. Universidad Nacional del Nordeste. Facultad de Ciencias Veterinarias; Argentinaes_AR
dc.description.filFil: Aranguren Mendez, Jose Atilio. Universidad de Zulia. Facultad de Ciencias Veterinarias; Venezuelaes_AR
dc.description.filFil: Bedotti, Daniel Osvaldo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentinaes_AR
dc.description.filFil: Ribeiro, Maria Norma. Universidade Federal Rural de Pernambuco. Departamento de Zootecnia; Brasiles_AR
dc.description.filFil: Sponenberg, D. Phillip.Virginia Tech. Virginia-Maryland Regional College of Veterinary Medicine; Estados Unidoses_AR
dc.description.filFil: Aguirre Riofrío, Edgar Lenin. Universidad Nacional de Loja, Ecuadores_AR
dc.description.filFil: Alvarez Franco, Luz Angela. Universidad Nacional de Colombia; Colombiaes_AR
dc.description.filFil: Menezes, M.P.C. Universidad Federal de Paraiba; Brasiles_AR
dc.description.filFil: Chacón Marcheco, Edilberto. Universidad Tecnica de Cotopaxi; Ecuadores_AR
dc.description.filFil: Galarza, Alexander Josué. Universidad Mayor de San Simón; Boliviaes_AR
dc.description.filFil: Gómez Urviola, Nilton César. Universidad Nacional Micaela Bastidas de Apurimac; Perúes_AR
dc.description.filFil: Martinez Lopez, Oscar Roberto. Universidad Nacional de Asunción. Centro Multidisciplinario de Investigaciones Tecnológicas, Dirección General de Investigación Científica y Tecnológica; Paraguayes_AR
dc.description.filFil: Cavalcanti Pimenta, Edgard. Universidad Federal de Paraiba; Brasiles_AR
dc.description.filFil: da Rocha, Laura Leandro. Universidade Federal Rural de Pernambuco. Departamento de Zootecnia; Brasiles_AR
dc.description.filFil: Stemmer, Angelika. Universidad Mayor de San Simón; Boliviaes_AR
dc.description.filFil: Landi, Vicenzo. Universidad de Córdoba. Departamento de Genética; Españaes_AR
dc.description.filFil: Delgado Bermejo, Juan Vicente. Universidad de Córdoba. Departamento de Genética; Españaes_AR
dc.subtypecientifico


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