Population genomics and gene introgression in goat herds naturally adapted to Brazil

Detalhes bibliográficos
Autor(a) principal: Moura,Jeane de Oliveira
Data de Publicação: 2019
Outros Autores: Campelo,José Elivalto Guimarães, Bajay,Miklos Maximiliano, Sarmento,José Lindenberg Rocha, Araújo,Adriana Mello de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000300476
Resumo: ABSTRACT The aim of this study was to apply the Illumina 50 K goat SNP Chip to analyse population genomic structure in two herds of Marota goats in the State of Piauí, one private and the other an official conservation herd, and to investigate evidence of genetic erosion in these herds caused by the Anglo-Nubian goat. To that end, 86 Marota and 10 Anglo-Nubian animals were genotyped. Genetic diversity was analysed by comparing minor allele frequency (MAF) in the herds. Population structure and genetic differentiation were evaluated using a Bayesian approach, principal component analysis (PCA) and the fixation index (FST). High genetic differentiation (FST = 0.16) was seen in the Marota population in relation to the Anglo-Nubian. The private herd shared a greater number of fixed SNPs with the herd of Anglo-Nubians (1024) than did the conservation herd (741). The results of the PCA, together with those from the analysis carried out using the Structure software, showed the presence of Anglo-Nubian genes in the Marota herds. It can therefore be concluded that the high level of polymorphism and high genetic differentiation between Marota and Anglo-Nubian goats characterise these animals as a source of genetic diversity for goat farming in the region; the Illumina 50 K goat SNP Chip is efficient in population structure analysis in Marota goats; microarray technology, analysis using the Structure software, and Principal Component Analysis complement each other in expanding the ability to detect gene introgression in small populations; there is evidence of the introgression of Anglo-Nubian genes in the herds of Marota goats under analysis.
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spelling Population genomics and gene introgression in goat herds naturally adapted to BrazilSNP chipPopulation structureGenetic resourcesABSTRACT The aim of this study was to apply the Illumina 50 K goat SNP Chip to analyse population genomic structure in two herds of Marota goats in the State of Piauí, one private and the other an official conservation herd, and to investigate evidence of genetic erosion in these herds caused by the Anglo-Nubian goat. To that end, 86 Marota and 10 Anglo-Nubian animals were genotyped. Genetic diversity was analysed by comparing minor allele frequency (MAF) in the herds. Population structure and genetic differentiation were evaluated using a Bayesian approach, principal component analysis (PCA) and the fixation index (FST). High genetic differentiation (FST = 0.16) was seen in the Marota population in relation to the Anglo-Nubian. The private herd shared a greater number of fixed SNPs with the herd of Anglo-Nubians (1024) than did the conservation herd (741). The results of the PCA, together with those from the analysis carried out using the Structure software, showed the presence of Anglo-Nubian genes in the Marota herds. It can therefore be concluded that the high level of polymorphism and high genetic differentiation between Marota and Anglo-Nubian goats characterise these animals as a source of genetic diversity for goat farming in the region; the Illumina 50 K goat SNP Chip is efficient in population structure analysis in Marota goats; microarray technology, analysis using the Structure software, and Principal Component Analysis complement each other in expanding the ability to detect gene introgression in small populations; there is evidence of the introgression of Anglo-Nubian genes in the herds of Marota goats under analysis.Universidade Federal do Ceará2019-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000300476Revista Ciência Agronômica v.50 n.3 2019reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20190056info:eu-repo/semantics/openAccessMoura,Jeane de OliveiraCampelo,José Elivalto GuimarãesBajay,Miklos MaximilianoSarmento,José Lindenberg RochaAraújo,Adriana Mello deeng2019-07-02T00:00:00Zoai:scielo:S1806-66902019000300476Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2019-07-02T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Population genomics and gene introgression in goat herds naturally adapted to Brazil
title Population genomics and gene introgression in goat herds naturally adapted to Brazil
spellingShingle Population genomics and gene introgression in goat herds naturally adapted to Brazil
Moura,Jeane de Oliveira
SNP chip
Population structure
Genetic resources
title_short Population genomics and gene introgression in goat herds naturally adapted to Brazil
title_full Population genomics and gene introgression in goat herds naturally adapted to Brazil
title_fullStr Population genomics and gene introgression in goat herds naturally adapted to Brazil
title_full_unstemmed Population genomics and gene introgression in goat herds naturally adapted to Brazil
title_sort Population genomics and gene introgression in goat herds naturally adapted to Brazil
author Moura,Jeane de Oliveira
author_facet Moura,Jeane de Oliveira
Campelo,José Elivalto Guimarães
Bajay,Miklos Maximiliano
Sarmento,José Lindenberg Rocha
Araújo,Adriana Mello de
author_role author
author2 Campelo,José Elivalto Guimarães
Bajay,Miklos Maximiliano
Sarmento,José Lindenberg Rocha
Araújo,Adriana Mello de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Moura,Jeane de Oliveira
Campelo,José Elivalto Guimarães
Bajay,Miklos Maximiliano
Sarmento,José Lindenberg Rocha
Araújo,Adriana Mello de
dc.subject.por.fl_str_mv SNP chip
Population structure
Genetic resources
topic SNP chip
Population structure
Genetic resources
description ABSTRACT The aim of this study was to apply the Illumina 50 K goat SNP Chip to analyse population genomic structure in two herds of Marota goats in the State of Piauí, one private and the other an official conservation herd, and to investigate evidence of genetic erosion in these herds caused by the Anglo-Nubian goat. To that end, 86 Marota and 10 Anglo-Nubian animals were genotyped. Genetic diversity was analysed by comparing minor allele frequency (MAF) in the herds. Population structure and genetic differentiation were evaluated using a Bayesian approach, principal component analysis (PCA) and the fixation index (FST). High genetic differentiation (FST = 0.16) was seen in the Marota population in relation to the Anglo-Nubian. The private herd shared a greater number of fixed SNPs with the herd of Anglo-Nubians (1024) than did the conservation herd (741). The results of the PCA, together with those from the analysis carried out using the Structure software, showed the presence of Anglo-Nubian genes in the Marota herds. It can therefore be concluded that the high level of polymorphism and high genetic differentiation between Marota and Anglo-Nubian goats characterise these animals as a source of genetic diversity for goat farming in the region; the Illumina 50 K goat SNP Chip is efficient in population structure analysis in Marota goats; microarray technology, analysis using the Structure software, and Principal Component Analysis complement each other in expanding the ability to detect gene introgression in small populations; there is evidence of the introgression of Anglo-Nubian genes in the herds of Marota goats under analysis.
publishDate 2019
dc.date.none.fl_str_mv 2019-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000300476
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902019000300476
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20190056
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.50 n.3 2019
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
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