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 EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/984641 |
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 K Canchim + K 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 cattle.Genome-wideGrowth traitRace CanchimRaça CanchimGado de corteStudies 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 K Canchim + K 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.MARCOS E. BUZANSKAS, Universidade Estadual PaulistaDANIELA A. GROSSI, University of GuelphRICARDO V. VENTURA, University of GuelphFLAVIO S. SCHENKEL, University of GuelphMEHDI SARGOLZAEI, University of GuelphSARAH L. C. MEIRELLES, Federal University of LavrasFABIANA B. MOKRY, Federal University of São CarlosROBERTO HIROSHI HIGA, CNPTIAMAURICIO DE ALVARENGA MUDADU, CPPSEMARCOS VINICIUS GUALBERTO B SILVA, CNPGLSIMONE CRISTINA MEO NICIURA, CPPSEROBERTO AUGUSTO DE A TORRES JUNIOR, CNPGCMAURICIO MELLO DE ALENCAR, CPPSELUCIANA CORREIA DE ALMEIDA REGITANO, CPPSEDANÍSIO P. MUNARI, Universidade Estadual Paulista.BUZANSKAS, M. E.GROSSI, D. A.VENTURA, R. V.SCHENKEL, F. S.SARGOLZAEI, M.MEIRELLES, S. L. C.MOKRY, F. B.HIGA, R. H.MUDADU, M. de A.SILVA, M. V. G. B.NICIURA, S. C. M.TORRES JUNIOR, R. A. de A.ALENCAR, M. M. deREGITANO, L. C. de A.MUNARI, D. P.2018-05-17T00:42:42Z2018-05-17T00:42:42Z2014-04-1520142018-05-17T00:42:42Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article8 p.Plos One, v. 9, n. 4, e94802, 2014.http://www.alice.cnptia.embrapa.br/alice/handle/doc/98464110.1371/journal.pone.0094802enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2018-05-17T00:42:49Zoai:www.alice.cnptia.embrapa.br:doc/984641Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542018-05-17T00:42:49Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)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, M. E. Genome-wide Growth trait Race Canchim Raça Canchim Gado de corte |
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, M. E. |
author_facet |
BUZANSKAS, M. E. GROSSI, D. A. VENTURA, R. V. SCHENKEL, F. S. SARGOLZAEI, M. MEIRELLES, S. L. C. MOKRY, F. B. HIGA, R. H. MUDADU, M. de A. SILVA, M. V. G. B. NICIURA, S. C. M. TORRES JUNIOR, R. A. de A. ALENCAR, M. M. de REGITANO, L. C. de A. MUNARI, D. P. |
author_role |
author |
author2 |
GROSSI, D. A. VENTURA, R. V. SCHENKEL, F. S. SARGOLZAEI, M. MEIRELLES, S. L. C. MOKRY, F. B. HIGA, R. H. MUDADU, M. de A. SILVA, M. V. G. B. NICIURA, S. C. M. TORRES JUNIOR, R. A. de A. ALENCAR, M. M. de REGITANO, L. C. de A. MUNARI, D. P. |
author2_role |
author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
MARCOS E. BUZANSKAS, Universidade Estadual Paulista DANIELA A. GROSSI, University of Guelph RICARDO V. VENTURA, University of Guelph FLAVIO S. SCHENKEL, University of Guelph MEHDI SARGOLZAEI, University of Guelph SARAH L. C. MEIRELLES, Federal University of Lavras FABIANA B. MOKRY, Federal University of São Carlos ROBERTO HIROSHI HIGA, CNPTIA MAURICIO DE ALVARENGA MUDADU, CPPSE MARCOS VINICIUS GUALBERTO B SILVA, CNPGL SIMONE CRISTINA MEO NICIURA, CPPSE ROBERTO AUGUSTO DE A TORRES JUNIOR, CNPGC MAURICIO MELLO DE ALENCAR, CPPSE LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE DANÍSIO P. MUNARI, Universidade Estadual Paulista. |
dc.contributor.author.fl_str_mv |
BUZANSKAS, M. E. GROSSI, D. A. VENTURA, R. V. SCHENKEL, F. S. SARGOLZAEI, M. MEIRELLES, S. L. C. MOKRY, F. B. HIGA, R. H. MUDADU, M. de A. SILVA, M. V. G. B. NICIURA, S. C. M. TORRES JUNIOR, R. A. de A. ALENCAR, M. M. de REGITANO, L. C. de A. MUNARI, D. P. |
dc.subject.por.fl_str_mv |
Genome-wide Growth trait Race Canchim Raça Canchim Gado de corte |
topic |
Genome-wide Growth trait Race Canchim Raça Canchim Gado de corte |
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 K Canchim + K 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 |
2014-04-15 2014 2018-05-17T00:42:42Z 2018-05-17T00:42:42Z 2018-05-17T00:42:42Z |
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 |
Plos One, v. 9, n. 4, e94802, 2014. http://www.alice.cnptia.embrapa.br/alice/handle/doc/984641 10.1371/journal.pone.0094802 |
identifier_str_mv |
Plos One, v. 9, n. 4, e94802, 2014. 10.1371/journal.pone.0094802 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/984641 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
8 p. |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1822721327872606208 |