Transcriptome profiling of muscle in Nelore cattle phenotypically divergent for the ribeye muscle area

Detalhes bibliográficos
Autor(a) principal: Santos Silva, Danielly Beraldo dos [UNESP]
Data de Publicação: 2019
Outros Autores: Fonseca, Larissa Fernanda Simielli [UNESP], Magalhães, Ana Fabrícia Braga, Muniz, Maria Malane Magalhães [UNESP], Baldi, Fernando [UNESP], Ferro, Jesus Aparecido [UNESP], Chardulo, Luis Artur Loyola [UNESP], Pinheiro, Daniel Guariz [UNESP], de Albuquerque, Lucia Galvão [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.ygeno.2019.07.012
http://hdl.handle.net/11449/190519
Resumo: This study aimed to use RNA-Seq to identify differentially expressed genes (DEGs) in muscle of uncastrated Nelore males phenotypically divergent for ribeye muscle area (REA). A total of 80 animals were phenotyped for REA, and 15 animals each with the highest REA and the lowest REA were selected for analyses. DEGs found (N = 288) belonging to families related to muscle cell growth, development, motility and proteolysis, such as actin, myosin, collagen, integrin, solute carrier, ubiquitin and kelch-like. Functional analysis showed that many of the significantly enriched gene ontology terms were closely associated with muscle development, growth, and degradation. Through co-expression network analysis, we predicted three hub genes (PPP3R1, FAM129B and UBE2G1), these genes are involved in muscle growth, proteolysis and immune system. The genes expression levels and its biological process found this study may result in differences in muscle deposition, and therefore, Nelore animals with different REA proportions.
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spelling Transcriptome profiling of muscle in Nelore cattle phenotypically divergent for the ribeye muscle areaBovineCarcass traitCo-expressionGenesHub genesRNA-SeqThis study aimed to use RNA-Seq to identify differentially expressed genes (DEGs) in muscle of uncastrated Nelore males phenotypically divergent for ribeye muscle area (REA). A total of 80 animals were phenotyped for REA, and 15 animals each with the highest REA and the lowest REA were selected for analyses. DEGs found (N = 288) belonging to families related to muscle cell growth, development, motility and proteolysis, such as actin, myosin, collagen, integrin, solute carrier, ubiquitin and kelch-like. Functional analysis showed that many of the significantly enriched gene ontology terms were closely associated with muscle development, growth, and degradation. Through co-expression network analysis, we predicted three hub genes (PPP3R1, FAM129B and UBE2G1), these genes are involved in muscle growth, proteolysis and immune system. The genes expression levels and its biological process found this study may result in differences in muscle deposition, and therefore, Nelore animals with different REA proportions.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)School of Agricultural and Veterinarian Sciences São Paulo State University (UNESP)National Council for Scientific and Technological Development (CNPq)Instituto de Zootecnia (IZ) Advanced Research Center for Beef CattleSchool of Veterinary and Animal Science São Paulo State University (UNESP)School of Agricultural and Veterinarian Sciences São Paulo State University (UNESP)School of Veterinary and Animal Science São Paulo State University (UNESP)Universidade Estadual Paulista (Unesp)National Council for Scientific and Technological Development (CNPq)Advanced Research Center for Beef CattleSantos Silva, Danielly Beraldo dos [UNESP]Fonseca, Larissa Fernanda Simielli [UNESP]Magalhães, Ana Fabrícia BragaMuniz, Maria Malane Magalhães [UNESP]Baldi, Fernando [UNESP]Ferro, Jesus Aparecido [UNESP]Chardulo, Luis Artur Loyola [UNESP]Pinheiro, Daniel Guariz [UNESP]de Albuquerque, Lucia Galvão [UNESP]2019-10-06T17:15:52Z2019-10-06T17:15:52Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.ygeno.2019.07.012Genomics.1089-86460888-7543http://hdl.handle.net/11449/19051910.1016/j.ygeno.2019.07.0122-s2.0-850696484379820754011277263Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengGenomicsinfo:eu-repo/semantics/openAccess2021-10-23T01:58:10Zoai:repositorio.unesp.br:11449/190519Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T01:58:10Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Transcriptome profiling of muscle in Nelore cattle phenotypically divergent for the ribeye muscle area
title Transcriptome profiling of muscle in Nelore cattle phenotypically divergent for the ribeye muscle area
spellingShingle Transcriptome profiling of muscle in Nelore cattle phenotypically divergent for the ribeye muscle area
Santos Silva, Danielly Beraldo dos [UNESP]
Bovine
Carcass trait
Co-expression
Genes
Hub genes
RNA-Seq
title_short Transcriptome profiling of muscle in Nelore cattle phenotypically divergent for the ribeye muscle area
title_full Transcriptome profiling of muscle in Nelore cattle phenotypically divergent for the ribeye muscle area
title_fullStr Transcriptome profiling of muscle in Nelore cattle phenotypically divergent for the ribeye muscle area
title_full_unstemmed Transcriptome profiling of muscle in Nelore cattle phenotypically divergent for the ribeye muscle area
title_sort Transcriptome profiling of muscle in Nelore cattle phenotypically divergent for the ribeye muscle area
author Santos Silva, Danielly Beraldo dos [UNESP]
author_facet Santos Silva, Danielly Beraldo dos [UNESP]
Fonseca, Larissa Fernanda Simielli [UNESP]
Magalhães, Ana Fabrícia Braga
Muniz, Maria Malane Magalhães [UNESP]
Baldi, Fernando [UNESP]
Ferro, Jesus Aparecido [UNESP]
Chardulo, Luis Artur Loyola [UNESP]
Pinheiro, Daniel Guariz [UNESP]
de Albuquerque, Lucia Galvão [UNESP]
author_role author
author2 Fonseca, Larissa Fernanda Simielli [UNESP]
Magalhães, Ana Fabrícia Braga
Muniz, Maria Malane Magalhães [UNESP]
Baldi, Fernando [UNESP]
Ferro, Jesus Aparecido [UNESP]
Chardulo, Luis Artur Loyola [UNESP]
Pinheiro, Daniel Guariz [UNESP]
de Albuquerque, Lucia Galvão [UNESP]
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
National Council for Scientific and Technological Development (CNPq)
Advanced Research Center for Beef Cattle
dc.contributor.author.fl_str_mv Santos Silva, Danielly Beraldo dos [UNESP]
Fonseca, Larissa Fernanda Simielli [UNESP]
Magalhães, Ana Fabrícia Braga
Muniz, Maria Malane Magalhães [UNESP]
Baldi, Fernando [UNESP]
Ferro, Jesus Aparecido [UNESP]
Chardulo, Luis Artur Loyola [UNESP]
Pinheiro, Daniel Guariz [UNESP]
de Albuquerque, Lucia Galvão [UNESP]
dc.subject.por.fl_str_mv Bovine
Carcass trait
Co-expression
Genes
Hub genes
RNA-Seq
topic Bovine
Carcass trait
Co-expression
Genes
Hub genes
RNA-Seq
description This study aimed to use RNA-Seq to identify differentially expressed genes (DEGs) in muscle of uncastrated Nelore males phenotypically divergent for ribeye muscle area (REA). A total of 80 animals were phenotyped for REA, and 15 animals each with the highest REA and the lowest REA were selected for analyses. DEGs found (N = 288) belonging to families related to muscle cell growth, development, motility and proteolysis, such as actin, myosin, collagen, integrin, solute carrier, ubiquitin and kelch-like. Functional analysis showed that many of the significantly enriched gene ontology terms were closely associated with muscle development, growth, and degradation. Through co-expression network analysis, we predicted three hub genes (PPP3R1, FAM129B and UBE2G1), these genes are involved in muscle growth, proteolysis and immune system. The genes expression levels and its biological process found this study may result in differences in muscle deposition, and therefore, Nelore animals with different REA proportions.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-06T17:15:52Z
2019-10-06T17:15:52Z
2019-01-01
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/10.1016/j.ygeno.2019.07.012
Genomics.
1089-8646
0888-7543
http://hdl.handle.net/11449/190519
10.1016/j.ygeno.2019.07.012
2-s2.0-85069648437
9820754011277263
url http://dx.doi.org/10.1016/j.ygeno.2019.07.012
http://hdl.handle.net/11449/190519
identifier_str_mv Genomics.
1089-8646
0888-7543
10.1016/j.ygeno.2019.07.012
2-s2.0-85069648437
9820754011277263
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Genomics
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
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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