Assessing genetic architecture and signatures of selection of dual purpose Gir cattle populations using genomic information
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , |
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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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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1799964835095511040 |