Gene co-expression networks associated with carcass traits reveal new pathways for muscle and fat deposition in Nelore cattle.
Autor(a) principal: | |
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Data de Publicação: | 2019 |
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/1106063 |
Resumo: | Positively correlated with carcass weight and animal growth, the ribeye area (REA) and the backfat thickness (BFT) are economic important carcass traits, which impact directly on producer's payment. The selection of these traits has not been satisfactory since they are expressed later in the animal's life and multigene regulated. So, next-generation technologies have been applied in this area to improve animal's selection and better understand the molecular mechanisms involved in the development of these traits. Correlation network analysis, performed by tools like WGCNA (Weighted Correlation Network Analysis), has been used to explore gene-gene interactions and gene-phenotype correlations. Thus, this study aimed to identify putative candidate genes and metabolic pathways that regulate REA and BFT by constructing a gene co-expression network using WGCNA and RNA sequencing data, to better understand genetic and molecular variations behind these complex traits in Nelore cattle. |
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Gene co-expression networks associated with carcass traits reveal new pathways for muscle and fat deposition in Nelore cattle.Functional enrichment analysisRNA-Seq dataWGCNARibeye areaGordura AnimalGado NeloreCarcaçaBackfatThicknessBeef carcassesPositively correlated with carcass weight and animal growth, the ribeye area (REA) and the backfat thickness (BFT) are economic important carcass traits, which impact directly on producer's payment. The selection of these traits has not been satisfactory since they are expressed later in the animal's life and multigene regulated. So, next-generation technologies have been applied in this area to improve animal's selection and better understand the molecular mechanisms involved in the development of these traits. Correlation network analysis, performed by tools like WGCNA (Weighted Correlation Network Analysis), has been used to explore gene-gene interactions and gene-phenotype correlations. Thus, this study aimed to identify putative candidate genes and metabolic pathways that regulate REA and BFT by constructing a gene co-expression network using WGCNA and RNA sequencing data, to better understand genetic and molecular variations behind these complex traits in Nelore cattle.Bárbara Silva-Vignato, USP; Luiz L. Coutinho, USP; Mirele D. Poleti, USP; Aline S. M. Cesar, USP; Cristina T. Moncau, Universidade Federal de Lavras; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; Júlio C. C. Balieiro, USP.VIGNATO B. S.COUTINHO, L. L.POLETI, M. D.CESAR, A. S. M.MONCAU, C. T.REGITANO, L. C. de A.BALIEIRO, J. C. C.2019-02-15T23:47:05Z2019-02-15T23:47:05Z2019-02-1520192019-11-29T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGenomics, v. 20, n. 32, p. 2-13, 2019.http://www.alice.cnptia.embrapa.br/alice/handle/doc/110606310.1186/s12864-018-5345-yenginfo: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:EMBRAPA2019-02-15T23:47:12Zoai:www.alice.cnptia.embrapa.br:doc/1106063Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542019-02-15T23:47:12falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-02-15T23:47:12Repositório 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 |
Gene co-expression networks associated with carcass traits reveal new pathways for muscle and fat deposition in Nelore cattle. |
title |
Gene co-expression networks associated with carcass traits reveal new pathways for muscle and fat deposition in Nelore cattle. |
spellingShingle |
Gene co-expression networks associated with carcass traits reveal new pathways for muscle and fat deposition in Nelore cattle. VIGNATO B. S. Functional enrichment analysis RNA-Seq data WGCNA Ribeye area Gordura Animal Gado Nelore Carcaça Backfat Thickness Beef carcasses |
title_short |
Gene co-expression networks associated with carcass traits reveal new pathways for muscle and fat deposition in Nelore cattle. |
title_full |
Gene co-expression networks associated with carcass traits reveal new pathways for muscle and fat deposition in Nelore cattle. |
title_fullStr |
Gene co-expression networks associated with carcass traits reveal new pathways for muscle and fat deposition in Nelore cattle. |
title_full_unstemmed |
Gene co-expression networks associated with carcass traits reveal new pathways for muscle and fat deposition in Nelore cattle. |
title_sort |
Gene co-expression networks associated with carcass traits reveal new pathways for muscle and fat deposition in Nelore cattle. |
author |
VIGNATO B. S. |
author_facet |
VIGNATO B. S. COUTINHO, L. L. POLETI, M. D. CESAR, A. S. M. MONCAU, C. T. REGITANO, L. C. de A. BALIEIRO, J. C. C. |
author_role |
author |
author2 |
COUTINHO, L. L. POLETI, M. D. CESAR, A. S. M. MONCAU, C. T. REGITANO, L. C. de A. BALIEIRO, J. C. C. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Bárbara Silva-Vignato, USP; Luiz L. Coutinho, USP; Mirele D. Poleti, USP; Aline S. M. Cesar, USP; Cristina T. Moncau, Universidade Federal de Lavras; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; Júlio C. C. Balieiro, USP. |
dc.contributor.author.fl_str_mv |
VIGNATO B. S. COUTINHO, L. L. POLETI, M. D. CESAR, A. S. M. MONCAU, C. T. REGITANO, L. C. de A. BALIEIRO, J. C. C. |
dc.subject.por.fl_str_mv |
Functional enrichment analysis RNA-Seq data WGCNA Ribeye area Gordura Animal Gado Nelore Carcaça Backfat Thickness Beef carcasses |
topic |
Functional enrichment analysis RNA-Seq data WGCNA Ribeye area Gordura Animal Gado Nelore Carcaça Backfat Thickness Beef carcasses |
description |
Positively correlated with carcass weight and animal growth, the ribeye area (REA) and the backfat thickness (BFT) are economic important carcass traits, which impact directly on producer's payment. The selection of these traits has not been satisfactory since they are expressed later in the animal's life and multigene regulated. So, next-generation technologies have been applied in this area to improve animal's selection and better understand the molecular mechanisms involved in the development of these traits. Correlation network analysis, performed by tools like WGCNA (Weighted Correlation Network Analysis), has been used to explore gene-gene interactions and gene-phenotype correlations. Thus, this study aimed to identify putative candidate genes and metabolic pathways that regulate REA and BFT by constructing a gene co-expression network using WGCNA and RNA sequencing data, to better understand genetic and molecular variations behind these complex traits in Nelore cattle. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-02-15T23:47:05Z 2019-02-15T23:47:05Z 2019-02-15 2019 2019-11-29T11:11:11Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Genomics, v. 20, n. 32, p. 2-13, 2019. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1106063 10.1186/s12864-018-5345-y |
identifier_str_mv |
Genomics, v. 20, n. 32, p. 2-13, 2019. 10.1186/s12864-018-5345-y |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1106063 |
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.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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1794503471514255360 |