Gene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle.

Detalhes bibliográficos
Autor(a) principal: GONÇALVES, T. M.
Data de Publicação: 2018
Outros Autores: REGITANO, L. C. de A., KOLTES, J. E., CESAR, A. S. M., ANDRADE, S. C. da S., MOURAO, G. B., GASPARIN, G., MOREIRA, G. C. M., FRITZ-WATERS, E., REECY, J. M., COUTINHO, L. L.
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/1106256
Resumo: Beef tenderness, a complex trait affected by many factors, is economically important to beef quality, industry, and consumer?s palatability. In this study, RNA-Seq was used in network analysis to better understand the biological processes that lead to differences in beef tenderness. Skeletal muscle transcriptional profiles from 24 Nellore steers, selected by extreme estimated breeding values (EBVs) for shear force after 14 days of aging, were analyzed and 22 differentially expressed transcripts were identified. Among these were genes encoding ribosomal proteins, glutathione transporter ATP-binding cassette, sub-family C (CFTR/MRP), member 4 (ABCC4), and synaptotagmin IV (SYT4). Complementary co-expression analyses using Partial Correlation with Information Theory (PCIT), Phenotypic Impact Factor (PIF) and the Regulatory Impact Factor (RIF) methods identified candidate regulators and related pathways. The PCIT analysis identified ubiquitin specific peptidase 2 (USP2), growth factor receptor-bound protein 10 (GBR10), anoctamin 1 (ANO1), and transmembrane BAX inhibitor motif containing 4 (TMBIM4) as the most differentially hubbed (DH) transcripts. The transcripts that had a significant correlation with USP2, GBR10, ANO1, and TMBIM4 enriched for proteasome KEGG pathway. RIF analysis identified microRNAs as candidate regulators of variation in tenderness, including bta-mir-133a-2 and bta-mir-22. Both microRNAs have target genes present in the calcium signaling pathway and apoptosis. PIF analysis identified myoglobin (MB), enolase 3 (ENO3), and carbonic anhydrase 3 (CA3) as potentially having fundamental roles in tenderness. Pathways identified in our study impacted in beef tenderness included: calcium signaling, apoptosis, and proteolysis. These findings underscore some of the complex molecular mechanisms that control beef tenderness in Nellore cattle.
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spelling Gene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle.Qualidade da carneMaciez da carneCarneGado de CorteBeefBeef cattleBeef qualityBeef tenderness, a complex trait affected by many factors, is economically important to beef quality, industry, and consumer?s palatability. In this study, RNA-Seq was used in network analysis to better understand the biological processes that lead to differences in beef tenderness. Skeletal muscle transcriptional profiles from 24 Nellore steers, selected by extreme estimated breeding values (EBVs) for shear force after 14 days of aging, were analyzed and 22 differentially expressed transcripts were identified. Among these were genes encoding ribosomal proteins, glutathione transporter ATP-binding cassette, sub-family C (CFTR/MRP), member 4 (ABCC4), and synaptotagmin IV (SYT4). Complementary co-expression analyses using Partial Correlation with Information Theory (PCIT), Phenotypic Impact Factor (PIF) and the Regulatory Impact Factor (RIF) methods identified candidate regulators and related pathways. The PCIT analysis identified ubiquitin specific peptidase 2 (USP2), growth factor receptor-bound protein 10 (GBR10), anoctamin 1 (ANO1), and transmembrane BAX inhibitor motif containing 4 (TMBIM4) as the most differentially hubbed (DH) transcripts. The transcripts that had a significant correlation with USP2, GBR10, ANO1, and TMBIM4 enriched for proteasome KEGG pathway. RIF analysis identified microRNAs as candidate regulators of variation in tenderness, including bta-mir-133a-2 and bta-mir-22. Both microRNAs have target genes present in the calcium signaling pathway and apoptosis. PIF analysis identified myoglobin (MB), enolase 3 (ENO3), and carbonic anhydrase 3 (CA3) as potentially having fundamental roles in tenderness. Pathways identified in our study impacted in beef tenderness included: calcium signaling, apoptosis, and proteolysis. These findings underscore some of the complex molecular mechanisms that control beef tenderness in Nellore cattle.Tássia Mangetti Gonçalves, USP; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; James E. Koltes, Iowa State University; Aline Silva Mello Cesar, USP; Sónia Cristina da Silva Andrade, USP; Gerson Barreto Mourão, USP; Gustavo Gasparin, USP; Gabriel Costa Monteiro Moreira, USP; Elyn Fritz-Waters, Iowa State University; James M. Reecy, Iowa State University; Luiz Lehmann Coutinho, USP.GONÇALVES, T. M.REGITANO, L. C. de A.KOLTES, J. E.CESAR, A. S. M.ANDRADE, S. C. da S.MOURAO, G. B.GASPARIN, G.MOREIRA, G. C. M.FRITZ-WATERS, E.REECY, J. M.COUTINHO, L. L.2019-02-20T00:35:57Z2019-02-20T00:35:57Z2019-02-1920182019-02-20T00:35:57Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFrontiers in Genetics, v.9, n. 441, p. 1-18, 2018.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1106256enginfo: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:EMBRAPA2019-02-20T00:36:04Zoai:www.alice.cnptia.embrapa.br:doc/1106256Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542019-02-20T00:36:04falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-02-20T00:36:04Repositório 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 analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle.
title Gene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle.
spellingShingle Gene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle.
GONÇALVES, T. M.
Qualidade da carne
Maciez da carne
Carne
Gado de Corte
Beef
Beef cattle
Beef quality
title_short Gene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle.
title_full Gene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle.
title_fullStr Gene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle.
title_full_unstemmed Gene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle.
title_sort Gene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle.
author GONÇALVES, T. M.
author_facet GONÇALVES, T. M.
REGITANO, L. C. de A.
KOLTES, J. E.
CESAR, A. S. M.
ANDRADE, S. C. da S.
MOURAO, G. B.
GASPARIN, G.
MOREIRA, G. C. M.
FRITZ-WATERS, E.
REECY, J. M.
COUTINHO, L. L.
author_role author
author2 REGITANO, L. C. de A.
KOLTES, J. E.
CESAR, A. S. M.
ANDRADE, S. C. da S.
MOURAO, G. B.
GASPARIN, G.
MOREIRA, G. C. M.
FRITZ-WATERS, E.
REECY, J. M.
COUTINHO, L. L.
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Tássia Mangetti Gonçalves, USP; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; James E. Koltes, Iowa State University; Aline Silva Mello Cesar, USP; Sónia Cristina da Silva Andrade, USP; Gerson Barreto Mourão, USP; Gustavo Gasparin, USP; Gabriel Costa Monteiro Moreira, USP; Elyn Fritz-Waters, Iowa State University; James M. Reecy, Iowa State University; Luiz Lehmann Coutinho, USP.
dc.contributor.author.fl_str_mv GONÇALVES, T. M.
REGITANO, L. C. de A.
KOLTES, J. E.
CESAR, A. S. M.
ANDRADE, S. C. da S.
MOURAO, G. B.
GASPARIN, G.
MOREIRA, G. C. M.
FRITZ-WATERS, E.
REECY, J. M.
COUTINHO, L. L.
dc.subject.por.fl_str_mv Qualidade da carne
Maciez da carne
Carne
Gado de Corte
Beef
Beef cattle
Beef quality
topic Qualidade da carne
Maciez da carne
Carne
Gado de Corte
Beef
Beef cattle
Beef quality
description Beef tenderness, a complex trait affected by many factors, is economically important to beef quality, industry, and consumer?s palatability. In this study, RNA-Seq was used in network analysis to better understand the biological processes that lead to differences in beef tenderness. Skeletal muscle transcriptional profiles from 24 Nellore steers, selected by extreme estimated breeding values (EBVs) for shear force after 14 days of aging, were analyzed and 22 differentially expressed transcripts were identified. Among these were genes encoding ribosomal proteins, glutathione transporter ATP-binding cassette, sub-family C (CFTR/MRP), member 4 (ABCC4), and synaptotagmin IV (SYT4). Complementary co-expression analyses using Partial Correlation with Information Theory (PCIT), Phenotypic Impact Factor (PIF) and the Regulatory Impact Factor (RIF) methods identified candidate regulators and related pathways. The PCIT analysis identified ubiquitin specific peptidase 2 (USP2), growth factor receptor-bound protein 10 (GBR10), anoctamin 1 (ANO1), and transmembrane BAX inhibitor motif containing 4 (TMBIM4) as the most differentially hubbed (DH) transcripts. The transcripts that had a significant correlation with USP2, GBR10, ANO1, and TMBIM4 enriched for proteasome KEGG pathway. RIF analysis identified microRNAs as candidate regulators of variation in tenderness, including bta-mir-133a-2 and bta-mir-22. Both microRNAs have target genes present in the calcium signaling pathway and apoptosis. PIF analysis identified myoglobin (MB), enolase 3 (ENO3), and carbonic anhydrase 3 (CA3) as potentially having fundamental roles in tenderness. Pathways identified in our study impacted in beef tenderness included: calcium signaling, apoptosis, and proteolysis. These findings underscore some of the complex molecular mechanisms that control beef tenderness in Nellore cattle.
publishDate 2018
dc.date.none.fl_str_mv 2018
2019-02-20T00:35:57Z
2019-02-20T00:35:57Z
2019-02-19
2019-02-20T00:35:57Z
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 Frontiers in Genetics, v.9, n. 441, p. 1-18, 2018.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1106256
identifier_str_mv Frontiers in Genetics, v.9, n. 441, p. 1-18, 2018.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1106256
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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