Genetic characterization and population structure of Canela-Preta creole chicken
Main Author: | |
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Publication Date: | 2016 |
Other Authors: | , , , , , |
Format: | Article |
Language: | por |
Source: | Pesquisa Agropecuária Brasileira (Online) |
Download full: | https://seer.sct.embrapa.br/index.php/pab/article/view/23879 |
Summary: | The objective of this work was to genetically characterize and evaluate the population structure of Canela-Preta creole chicken of three breeding stocks belonging to the municipalities of Teresina, Oeiras and Queimada Nova, in the state of Piauí, Brazil. Twelve microsatellite markers and DNA samples from118 chickens were used. After DNA extraction, the microsatellite markers were amplified by polymerase chain reaction (PCR). Statistical analyses of the observed and expected heterozygosity estimates, analysis of molecular variance, principal components analysis, Wright’s F-statistics, and analysis of population structure based on Bayesian analysis were performed. The analyses of genetic differentiation (using Amova) suggested low differentiation between the evaluated nucleuses, indicating this group as genetically unique. The resultsof the F-statistics indicated endogamy trend of the breeding stocks studied. Scatter plot and Bayesian analysis, used to show the structure of Canela-Preta birds, suggested the existence of four genetic groups and revealed that there is gene flow between the breeding stocks analysed. The evaluated microsatellite molecular markers showed to be polymorphic, which shows high variation in the samples and reveals their effectiveness in the study of characterization. The results indicate that Canela-Preta chickens are genetically structured. |
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Genetic characterization and population structure of Canela-Preta creole chickenGallus gallus, microsatellites, polymorphism, genetic variabilityThe objective of this work was to genetically characterize and evaluate the population structure of Canela-Preta creole chicken of three breeding stocks belonging to the municipalities of Teresina, Oeiras and Queimada Nova, in the state of Piauí, Brazil. Twelve microsatellite markers and DNA samples from118 chickens were used. After DNA extraction, the microsatellite markers were amplified by polymerase chain reaction (PCR). Statistical analyses of the observed and expected heterozygosity estimates, analysis of molecular variance, principal components analysis, Wright’s F-statistics, and analysis of population structure based on Bayesian analysis were performed. The analyses of genetic differentiation (using Amova) suggested low differentiation between the evaluated nucleuses, indicating this group as genetically unique. The resultsof the F-statistics indicated endogamy trend of the breeding stocks studied. Scatter plot and Bayesian analysis, used to show the structure of Canela-Preta birds, suggested the existence of four genetic groups and revealed that there is gene flow between the breeding stocks analysed. The evaluated microsatellite molecular markers showed to be polymorphic, which shows high variation in the samples and reveals their effectiveness in the study of characterization. The results indicate that Canela-Preta chickens are genetically structured.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes)Fundação de Amparo à Pesquisa do Estado de Minas Gerais (Fapemig)Carvalho, Débora Araújo deBonafe, Cristina MoreiraRodriguez-Rodriguez, Maria Del PilarAlmeida, Marcos Jacob de OliveiraSarmento, José Lindenberg RochaBritto, Fabio BarrosSilva, Martinho de Almeida e2016-12-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/23879Pesquisa Agropecuaria Brasileira; v.51, n.11, nov. 2016; 1899-1906Pesquisa Agropecuária Brasileira; v.51, n.11, nov. 2016; 1899-19061678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/23879/13634https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/23879/15816Direitos autorais 2016 Pesquisa Agropecuária Brasileirainfo:eu-repo/semantics/openAccess2016-12-23T12:32:40Zoai:ojs.seer.sct.embrapa.br:article/23879Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2016-12-23T12:32:40Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Genetic characterization and population structure of Canela-Preta creole chicken |
title |
Genetic characterization and population structure of Canela-Preta creole chicken |
spellingShingle |
Genetic characterization and population structure of Canela-Preta creole chicken Carvalho, Débora Araújo de Gallus gallus, microsatellites, polymorphism, genetic variability |
title_short |
Genetic characterization and population structure of Canela-Preta creole chicken |
title_full |
Genetic characterization and population structure of Canela-Preta creole chicken |
title_fullStr |
Genetic characterization and population structure of Canela-Preta creole chicken |
title_full_unstemmed |
Genetic characterization and population structure of Canela-Preta creole chicken |
title_sort |
Genetic characterization and population structure of Canela-Preta creole chicken |
author |
Carvalho, Débora Araújo de |
author_facet |
Carvalho, Débora Araújo de Bonafe, Cristina Moreira Rodriguez-Rodriguez, Maria Del Pilar Almeida, Marcos Jacob de Oliveira Sarmento, José Lindenberg Rocha Britto, Fabio Barros Silva, Martinho de Almeida e |
author_role |
author |
author2 |
Bonafe, Cristina Moreira Rodriguez-Rodriguez, Maria Del Pilar Almeida, Marcos Jacob de Oliveira Sarmento, José Lindenberg Rocha Britto, Fabio Barros Silva, Martinho de Almeida e |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes) Fundação de Amparo à Pesquisa do Estado de Minas Gerais (Fapemig) |
dc.contributor.author.fl_str_mv |
Carvalho, Débora Araújo de Bonafe, Cristina Moreira Rodriguez-Rodriguez, Maria Del Pilar Almeida, Marcos Jacob de Oliveira Sarmento, José Lindenberg Rocha Britto, Fabio Barros Silva, Martinho de Almeida e |
dc.subject.por.fl_str_mv |
Gallus gallus, microsatellites, polymorphism, genetic variability |
topic |
Gallus gallus, microsatellites, polymorphism, genetic variability |
description |
The objective of this work was to genetically characterize and evaluate the population structure of Canela-Preta creole chicken of three breeding stocks belonging to the municipalities of Teresina, Oeiras and Queimada Nova, in the state of Piauí, Brazil. Twelve microsatellite markers and DNA samples from118 chickens were used. After DNA extraction, the microsatellite markers were amplified by polymerase chain reaction (PCR). Statistical analyses of the observed and expected heterozygosity estimates, analysis of molecular variance, principal components analysis, Wright’s F-statistics, and analysis of population structure based on Bayesian analysis were performed. The analyses of genetic differentiation (using Amova) suggested low differentiation between the evaluated nucleuses, indicating this group as genetically unique. The resultsof the F-statistics indicated endogamy trend of the breeding stocks studied. Scatter plot and Bayesian analysis, used to show the structure of Canela-Preta birds, suggested the existence of four genetic groups and revealed that there is gene flow between the breeding stocks analysed. The evaluated microsatellite molecular markers showed to be polymorphic, which shows high variation in the samples and reveals their effectiveness in the study of characterization. The results indicate that Canela-Preta chickens are genetically structured. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-12-23 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/23879 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/23879 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/23879/13634 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/23879/15816 |
dc.rights.driver.fl_str_mv |
Direitos autorais 2016 Pesquisa Agropecuária Brasileira info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos autorais 2016 Pesquisa Agropecuária Brasileira |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.51, n.11, nov. 2016; 1899-1906 Pesquisa Agropecuária Brasileira; v.51, n.11, nov. 2016; 1899-1906 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416678601654272 |