Genome-Wide Association for Growth Traits in Canchim Beef Cattle
Autor(a) principal: | |
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Data de Publicação: | 2014 |
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.0094802 http://hdl.handle.net/11449/111610 |
Resumo: | Studies are being conducted on the applicability of genomic data to improve the accuracy of the selection process in livestock, and genome-wide association studies (GWAS) provide valuable information to enhance the understanding on the genetics of complex traits. The aim of this study was to identify genomic regions and genes that play roles in birth weight (BW), weaning weight adjusted for 210 days of age (WW), and long-yearling weight adjusted for 420 days of age (LYW) in Canchim cattle. GWAS were performed by means of the Generalized Quasi-Likelihood Score (GQLS) method using genotypes from the BovineHD BeadChip and estimated breeding values for BW, WW, and LYW. Data consisted of 285 animals from the Canchim breed and 114 from the MA genetic group (derived from crossings between Charolais sires and 1/2 Canchim + 1/2 Zebu dams). After applying a false discovery rate correction at a 10% significance level, a total of 4, 12, and 10 SNPs were significantly associated with BW, WW, and LYW, respectively. These SNPs were surveyed to their corresponding genes or to surrounding genes within a distance of 250 kb. The genes DPP6 (dipeptidyl-peptidase 6) and CLEC3B (C-type lectin domain family 3 member B) were highlighted, considering its functions on the development of the brain and skeletal system, respectively. The GQLS method identified regions on chromosome associated with birth weight, weaning weight, and long-yearling weight in Canchim and MA animals. New candidate regions for body weight traits were detected and some of them have interesting biological functions, of which most have not been previously reported. The observation of QTL reports for body weight traits, covering areas surrounding the genes (SNPs) herein identified provides more evidence for these associations. Future studies targeting these areas could provide further knowledge to uncover the genetic architecture underlying growth traits in Canchim cattle. |
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Genome-Wide Association for Growth Traits in Canchim Beef CattleStudies are being conducted on the applicability of genomic data to improve the accuracy of the selection process in livestock, and genome-wide association studies (GWAS) provide valuable information to enhance the understanding on the genetics of complex traits. The aim of this study was to identify genomic regions and genes that play roles in birth weight (BW), weaning weight adjusted for 210 days of age (WW), and long-yearling weight adjusted for 420 days of age (LYW) in Canchim cattle. GWAS were performed by means of the Generalized Quasi-Likelihood Score (GQLS) method using genotypes from the BovineHD BeadChip and estimated breeding values for BW, WW, and LYW. Data consisted of 285 animals from the Canchim breed and 114 from the MA genetic group (derived from crossings between Charolais sires and 1/2 Canchim + 1/2 Zebu dams). After applying a false discovery rate correction at a 10% significance level, a total of 4, 12, and 10 SNPs were significantly associated with BW, WW, and LYW, respectively. These SNPs were surveyed to their corresponding genes or to surrounding genes within a distance of 250 kb. The genes DPP6 (dipeptidyl-peptidase 6) and CLEC3B (C-type lectin domain family 3 member B) were highlighted, considering its functions on the development of the brain and skeletal system, respectively. The GQLS method identified regions on chromosome associated with birth weight, weaning weight, and long-yearling weight in Canchim and MA animals. New candidate regions for body weight traits were detected and some of them have interesting biological functions, of which most have not been previously reported. The observation of QTL reports for body weight traits, covering areas surrounding the genes (SNPs) herein identified provides more evidence for these associations. Future studies targeting these areas could provide further knowledge to uncover the genetic architecture underlying growth traits in Canchim cattle.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)University of GuelphUNESP Univ Estadual Paulista, Dept Ciencias Exatas, Fac Ciencias Agr & Vet, Sao Paulo, BrazilUniv Guelph, Dept Anim & Poultry Sci, CGIL, Guelph, ON N1G 2W1, CanadaBIO, Guelph, ON, CanadaSemex Alliance, Guelph, ON, CanadaFed Univ Lavras UFLA, Dept Anim Sci, Lavras, MG, BrazilFed Univ Sao Carlos UFSCar, Dept Genet & Evolut, Sao Paulo, BrazilEmbrapa Southeast Livestock, Sao Paulo, BrazilEmbrapa Agr Informat, Sao Paulo, BrazilEmbrapa Dairy Cattle, Juiz De Fora, MG, BrazilEmbrapa Beef Cattle, Campo Grande, MS, BrazilUNESP Univ Estadual Paulista, Dept Ciencias Exatas, Fac Ciencias Agr & Vet, Sao Paulo, BrazilCNPq: 142053/2010-4CAPES: 5285-11-9Public Library ScienceUniversidade Estadual Paulista (Unesp)University of GuelphBIOSemex AllianceUniversidade Federal de Lavras (UFLA)Universidade Federal de São Carlos (UFSCar)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Buzanskas, Marcos E. [UNESP]Grossi, Daniela A.Ventura, Ricardo V.Schenkel, Flavio S.Sargolzaei, MehdiMeirelles, Sarah L. C.Mokry, Fabiana B.Higa, Roberto H.Mudadu, Mauricio A.Barbosa da Silva, Marcos V. G.Niciura, Simone C. M.Torres Junior, Roberto A. A.Alencar, Mauricio M.Regitano, Luciana C. A.Munari, Danisio P. [UNESP]2014-12-03T13:08:50Z2014-12-03T13:08:50Z2014-04-14info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article8application/pdfhttp://dx.doi.org/10.1371/journal.pone.0094802Plos One. San Francisco: Public Library Science, v. 9, n. 4, 8 p., 2014.1932-6203http://hdl.handle.net/11449/11161010.1371/journal.pone.0094802WOS:000336970400107WOS000336970400107.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPLOS ONE2.7661,164info:eu-repo/semantics/openAccess2024-06-06T13:43:03Zoai:repositorio.unesp.br:11449/111610Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:17:31.150593Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Genome-Wide Association for Growth Traits in Canchim Beef Cattle |
title |
Genome-Wide Association for Growth Traits in Canchim Beef Cattle |
spellingShingle |
Genome-Wide Association for Growth Traits in Canchim Beef Cattle Buzanskas, Marcos E. [UNESP] |
title_short |
Genome-Wide Association for Growth Traits in Canchim Beef Cattle |
title_full |
Genome-Wide Association for Growth Traits in Canchim Beef Cattle |
title_fullStr |
Genome-Wide Association for Growth Traits in Canchim Beef Cattle |
title_full_unstemmed |
Genome-Wide Association for Growth Traits in Canchim Beef Cattle |
title_sort |
Genome-Wide Association for Growth Traits in Canchim Beef Cattle |
author |
Buzanskas, Marcos E. [UNESP] |
author_facet |
Buzanskas, Marcos E. [UNESP] Grossi, Daniela A. Ventura, Ricardo V. Schenkel, Flavio S. Sargolzaei, Mehdi Meirelles, Sarah L. C. Mokry, Fabiana B. Higa, Roberto H. Mudadu, Mauricio A. Barbosa da Silva, Marcos V. G. Niciura, Simone C. M. Torres Junior, Roberto A. A. Alencar, Mauricio M. Regitano, Luciana C. A. Munari, Danisio P. [UNESP] |
author_role |
author |
author2 |
Grossi, Daniela A. Ventura, Ricardo V. Schenkel, Flavio S. Sargolzaei, Mehdi Meirelles, Sarah L. C. Mokry, Fabiana B. Higa, Roberto H. Mudadu, Mauricio A. Barbosa da Silva, Marcos V. G. Niciura, Simone C. M. Torres Junior, Roberto A. A. Alencar, Mauricio M. Regitano, Luciana C. A. Munari, Danisio P. [UNESP] |
author2_role |
author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) University of Guelph BIO Semex Alliance Universidade Federal de Lavras (UFLA) Universidade Federal de São Carlos (UFSCar) Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) |
dc.contributor.author.fl_str_mv |
Buzanskas, Marcos E. [UNESP] Grossi, Daniela A. Ventura, Ricardo V. Schenkel, Flavio S. Sargolzaei, Mehdi Meirelles, Sarah L. C. Mokry, Fabiana B. Higa, Roberto H. Mudadu, Mauricio A. Barbosa da Silva, Marcos V. G. Niciura, Simone C. M. Torres Junior, Roberto A. A. Alencar, Mauricio M. Regitano, Luciana C. A. Munari, Danisio P. [UNESP] |
description |
Studies are being conducted on the applicability of genomic data to improve the accuracy of the selection process in livestock, and genome-wide association studies (GWAS) provide valuable information to enhance the understanding on the genetics of complex traits. The aim of this study was to identify genomic regions and genes that play roles in birth weight (BW), weaning weight adjusted for 210 days of age (WW), and long-yearling weight adjusted for 420 days of age (LYW) in Canchim cattle. GWAS were performed by means of the Generalized Quasi-Likelihood Score (GQLS) method using genotypes from the BovineHD BeadChip and estimated breeding values for BW, WW, and LYW. Data consisted of 285 animals from the Canchim breed and 114 from the MA genetic group (derived from crossings between Charolais sires and 1/2 Canchim + 1/2 Zebu dams). After applying a false discovery rate correction at a 10% significance level, a total of 4, 12, and 10 SNPs were significantly associated with BW, WW, and LYW, respectively. These SNPs were surveyed to their corresponding genes or to surrounding genes within a distance of 250 kb. The genes DPP6 (dipeptidyl-peptidase 6) and CLEC3B (C-type lectin domain family 3 member B) were highlighted, considering its functions on the development of the brain and skeletal system, respectively. The GQLS method identified regions on chromosome associated with birth weight, weaning weight, and long-yearling weight in Canchim and MA animals. New candidate regions for body weight traits were detected and some of them have interesting biological functions, of which most have not been previously reported. The observation of QTL reports for body weight traits, covering areas surrounding the genes (SNPs) herein identified provides more evidence for these associations. Future studies targeting these areas could provide further knowledge to uncover the genetic architecture underlying growth traits in Canchim cattle. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-12-03T13:08:50Z 2014-12-03T13:08:50Z 2014-04-14 |
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.0094802 Plos One. San Francisco: Public Library Science, v. 9, n. 4, 8 p., 2014. 1932-6203 http://hdl.handle.net/11449/111610 10.1371/journal.pone.0094802 WOS:000336970400107 WOS000336970400107.pdf |
url |
http://dx.doi.org/10.1371/journal.pone.0094802 http://hdl.handle.net/11449/111610 |
identifier_str_mv |
Plos One. San Francisco: Public Library Science, v. 9, n. 4, 8 p., 2014. 1932-6203 10.1371/journal.pone.0094802 WOS:000336970400107 WOS000336970400107.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
PLOS ONE 2.766 1,164 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
8 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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1808128917507145728 |