| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
|
Data corrente: |
19/02/2019 |
|
Data da última atualização: |
19/02/2019 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
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. |
|
Afiliação: |
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. |
|
Título: |
Gene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle. |
|
Ano de publicação: |
2018 |
|
Fonte/Imprenta: |
Frontiers in Genetics, v.9, n. 441, p. 1-18, 2018. |
|
Idioma: |
Inglês |
|
Conteúdo: |
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. MenosBeef 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 apoptos... Mostrar Tudo |
|
Palavras-Chave: |
Maciez da carne; Qualidade da carne. |
|
Thesagro: |
Carne; Gado de Corte. |
|
Thesaurus Nal: |
Beef; Beef cattle; Beef quality. |
|
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/193047/1/8-GeneCo-expressionAnalysis.pdf
|
|
Marc: |
LEADER 02810naa a2200325 a 4500
001 2106256
005 2019-02-19
008 2018 bl uuuu u00u1 u #d
100 1 $aGONÇALVES, T. M.
245 $aGene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle.$h[electronic resource]
260 $c2018
520 $aBeef 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.
650 $aBeef
650 $aBeef cattle
650 $aBeef quality
650 $aCarne
650 $aGado de Corte
653 $aMaciez da carne
653 $aQualidade da carne
700 1 $aREGITANO, L. C. de A.
700 1 $aKOLTES, J. E.
700 1 $aCESAR, A. S. M.
700 1 $aANDRADE, S. C. da S.
700 1 $aMOURAO, G. B.
700 1 $aGASPARIN, G.
700 1 $aMOREIRA, G. C. M.
700 1 $aFRITZ-WATERS, E.
700 1 $aREECY, J. M.
700 1 $aCOUTINHO, L. L.
773 $tFrontiers in Genetics$gv.9, n. 441, p. 1-18, 2018.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 1 | |
| 1. |  | 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. Gene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle. Frontiers in Genetics, v.9, n. 441, p. 1-18, 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Pecuária Sudeste. |
|    |
| Registros recuperados : 1 | |
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
