Assessing genetic architecture and signatures of selection of dual purpose Gir cattle populations using genomic information

Detalhes bibliográficos
Autor(a) principal: Maiorano, Amanda Marchi [UNESP]
Data de Publicação: 2018
Outros Autores: Lourenco, Daniela Lino, Tsuruta, Shogo, Toro Ospina, Alejandra Maria [UNESP], Stafuzza, Nedenia Bonvino [UNESP], Masuda, Yutaka, Eugenio, Anibal, Santos Goncalves Cyrillo, Joslaine Noely dos, Curi, Rogerio Abdallah [UNESP], Vasconcelos Silva, Josineudson Augusto I. I. de [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1371/journal.pone.0200694
http://hdl.handle.net/11449/166265
Resumo: Gir is one of the main cattle breeds raised in tropical South American countries. Strong artificial selection through its domestication resulted in increased genetic differentiation among the countries in recent years. Over the years, genomic studies in Gir have become more common. However, studies of population structure and signatures of selection in divergent Gir populations are scarce and need more attention to better understand genetic differentiation, gene flow, and genetic distance. Genotypes of 173 animals selected for growth traits and 273 animals selected for milk production were used in this study. Clear genetic differentiation between beef and dairy populations was observed. Different criteria led to genetic divergence and genetic differences in allele frequencies between the two populations. Gene segregation in each population was forced by artificial selection, promoting isolation, and increasing genetic variation between them. Results showed evidence of selective forces in different regions of the genome. A total of 282 genes were detected under selection in the test population based on the fixation index (Fst), integrated haplotype score (iHS), and cross-population extend haplotype homozygosity (XP-EHH) approaches. The QTL mapping identified 35 genes associated with reproduction, milk composition, growth, meat and carcass, health, or body conformation traits. The investigation of genes and pathways showed that quantitative traits associated to fertility, milk production, beef quality, and growth were involved in the process of differentiation of these populations. These results would support further investigations of population structure and differentiation in the Gir breed.
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spelling Assessing genetic architecture and signatures of selection of dual purpose Gir cattle populations using genomic informationGir is one of the main cattle breeds raised in tropical South American countries. Strong artificial selection through its domestication resulted in increased genetic differentiation among the countries in recent years. Over the years, genomic studies in Gir have become more common. However, studies of population structure and signatures of selection in divergent Gir populations are scarce and need more attention to better understand genetic differentiation, gene flow, and genetic distance. Genotypes of 173 animals selected for growth traits and 273 animals selected for milk production were used in this study. Clear genetic differentiation between beef and dairy populations was observed. Different criteria led to genetic divergence and genetic differences in allele frequencies between the two populations. Gene segregation in each population was forced by artificial selection, promoting isolation, and increasing genetic variation between them. Results showed evidence of selective forces in different regions of the genome. A total of 282 genes were detected under selection in the test population based on the fixation index (Fst), integrated haplotype score (iHS), and cross-population extend haplotype homozygosity (XP-EHH) approaches. The QTL mapping identified 35 genes associated with reproduction, milk composition, growth, meat and carcass, health, or body conformation traits. The investigation of genes and pathways showed that quantitative traits associated to fertility, milk production, beef quality, and growth were involved in the process of differentiation of these populations. These results would support further investigations of population structure and differentiation in the Gir breed.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Univ Estadual Paulista, Fac Ciencias Agr & Vet, Sao Paulo, BrazilUniv Georgia, Anim & Dairy Sci, Anim Breeding & Genet, Athens, GA 30602 USAInst Zootecnia, Sao Paulo, BrazilUniv Estadual Paulista, Fac Med Vet & Zootecnia, Botucatu, SP, BrazilUniv Estadual Paulista, Fac Ciencias Agr & Vet, Sao Paulo, BrazilUniv Estadual Paulista, Fac Med Vet & Zootecnia, Botucatu, SP, BrazilFAPESP: 2015/06686-7CNPq: 142373/2015-0CAPES: 88881.131671/2016-01Public Library ScienceUniversidade Estadual Paulista (Unesp)Univ GeorgiaInst ZootecniaMaiorano, Amanda Marchi [UNESP]Lourenco, Daniela LinoTsuruta, ShogoToro Ospina, Alejandra Maria [UNESP]Stafuzza, Nedenia Bonvino [UNESP]Masuda, YutakaEugenio, AnibalSantos Goncalves Cyrillo, Joslaine Noely dosCuri, Rogerio Abdallah [UNESP]Vasconcelos Silva, Josineudson Augusto I. I. de [UNESP]2018-11-29T23:35:05Z2018-11-29T23:35:05Z2018-08-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article24application/pdfhttp://dx.doi.org/10.1371/journal.pone.0200694Plos One. San Francisco: Public Library Science, v. 13, n. 8, 24 p., 2018.1932-6203http://hdl.handle.net/11449/16626510.1371/journal.pone.0200694WOS:000440778600016WOS000440778600016.pdf35147134139191260000-0001-6289-0406Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPlos Oneinfo:eu-repo/semantics/openAccess2023-11-06T06:07:53Zoai:repositorio.unesp.br:11449/166265Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-06T06:07:53Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Assessing genetic architecture and signatures of selection of dual purpose Gir cattle populations using genomic information
title Assessing genetic architecture and signatures of selection of dual purpose Gir cattle populations using genomic information
spellingShingle Assessing genetic architecture and signatures of selection of dual purpose Gir cattle populations using genomic information
Maiorano, Amanda Marchi [UNESP]
title_short Assessing genetic architecture and signatures of selection of dual purpose Gir cattle populations using genomic information
title_full Assessing genetic architecture and signatures of selection of dual purpose Gir cattle populations using genomic information
title_fullStr Assessing genetic architecture and signatures of selection of dual purpose Gir cattle populations using genomic information
title_full_unstemmed Assessing genetic architecture and signatures of selection of dual purpose Gir cattle populations using genomic information
title_sort Assessing genetic architecture and signatures of selection of dual purpose Gir cattle populations using genomic information
author Maiorano, Amanda Marchi [UNESP]
author_facet Maiorano, Amanda Marchi [UNESP]
Lourenco, Daniela Lino
Tsuruta, Shogo
Toro Ospina, Alejandra Maria [UNESP]
Stafuzza, Nedenia Bonvino [UNESP]
Masuda, Yutaka
Eugenio, Anibal
Santos Goncalves Cyrillo, Joslaine Noely dos
Curi, Rogerio Abdallah [UNESP]
Vasconcelos Silva, Josineudson Augusto I. I. de [UNESP]
author_role author
author2 Lourenco, Daniela Lino
Tsuruta, Shogo
Toro Ospina, Alejandra Maria [UNESP]
Stafuzza, Nedenia Bonvino [UNESP]
Masuda, Yutaka
Eugenio, Anibal
Santos Goncalves Cyrillo, Joslaine Noely dos
Curi, Rogerio Abdallah [UNESP]
Vasconcelos Silva, Josineudson Augusto I. I. de [UNESP]
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Univ Georgia
Inst Zootecnia
dc.contributor.author.fl_str_mv Maiorano, Amanda Marchi [UNESP]
Lourenco, Daniela Lino
Tsuruta, Shogo
Toro Ospina, Alejandra Maria [UNESP]
Stafuzza, Nedenia Bonvino [UNESP]
Masuda, Yutaka
Eugenio, Anibal
Santos Goncalves Cyrillo, Joslaine Noely dos
Curi, Rogerio Abdallah [UNESP]
Vasconcelos Silva, Josineudson Augusto I. I. de [UNESP]
description Gir is one of the main cattle breeds raised in tropical South American countries. Strong artificial selection through its domestication resulted in increased genetic differentiation among the countries in recent years. Over the years, genomic studies in Gir have become more common. However, studies of population structure and signatures of selection in divergent Gir populations are scarce and need more attention to better understand genetic differentiation, gene flow, and genetic distance. Genotypes of 173 animals selected for growth traits and 273 animals selected for milk production were used in this study. Clear genetic differentiation between beef and dairy populations was observed. Different criteria led to genetic divergence and genetic differences in allele frequencies between the two populations. Gene segregation in each population was forced by artificial selection, promoting isolation, and increasing genetic variation between them. Results showed evidence of selective forces in different regions of the genome. A total of 282 genes were detected under selection in the test population based on the fixation index (Fst), integrated haplotype score (iHS), and cross-population extend haplotype homozygosity (XP-EHH) approaches. The QTL mapping identified 35 genes associated with reproduction, milk composition, growth, meat and carcass, health, or body conformation traits. The investigation of genes and pathways showed that quantitative traits associated to fertility, milk production, beef quality, and growth were involved in the process of differentiation of these populations. These results would support further investigations of population structure and differentiation in the Gir breed.
publishDate 2018
dc.date.none.fl_str_mv 2018-11-29T23:35:05Z
2018-11-29T23:35:05Z
2018-08-02
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/10.1371/journal.pone.0200694
Plos One. San Francisco: Public Library Science, v. 13, n. 8, 24 p., 2018.
1932-6203
http://hdl.handle.net/11449/166265
10.1371/journal.pone.0200694
WOS:000440778600016
WOS000440778600016.pdf
3514713413919126
0000-0001-6289-0406
url http://dx.doi.org/10.1371/journal.pone.0200694
http://hdl.handle.net/11449/166265
identifier_str_mv Plos One. San Francisco: Public Library Science, v. 13, n. 8, 24 p., 2018.
1932-6203
10.1371/journal.pone.0200694
WOS:000440778600016
WOS000440778600016.pdf
3514713413919126
0000-0001-6289-0406
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Plos One
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dc.format.none.fl_str_mv 24
application/pdf
dc.publisher.none.fl_str_mv Public Library Science
publisher.none.fl_str_mv Public Library Science
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
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instname_str Universidade Estadual Paulista (UNESP)
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reponame_str Repositório Institucional da UNESP
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repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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