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| Registros recuperados : 36 | |
| 21. |  | MOREIRA, G. C. M.; GODOY, T. F.; BOSCHIERO, C.; GHEYAS, A. A.; GASPARIN, G.; PADUAN, M.; ANDRADE, S. C. S.; MONTENEGRO, H.; BURT, D. W.; LEDUR, M. C.; COUTINHO, L. L. Discovery of SNPs potentially associated with fatness in a QTL region on chicken chromosome 3. In: WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Vancouver: WCGALP: American Society of Animal Science, 2014.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 22. | | MOREIRA, G. C. M.; BOSCHIERO, C.; CESAR, A. S. M.; REECY, J. M.; GODOY, T. F.; PÉRTILLE, F.; LEDUR, M. C.; MOURA, A. S. A. M. T. M.; GARRICK, D. J.; COUTINHO, L. L. Integration of genome wide association studies and whole genome sequencing provides novel insights into fat deposition in chicken. Scientific Reports, v. 8, n. 16222, 2018.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 23. | | MOREIRA, G. C. M.; GODOY, T. F.; BOSCHIERO, C.; CESAR, A. S. M.; REECY, J. M.; LEDUR, M. C.; GARRICK, D.; SILVA, V. H. da; CROOIJAMANS, R. P.; GROENEN, M. A. M.; COUTINHO, L. L. Integration of GWAS, CNV and sele ction signature reveals candidate genes for abdominal fat regulation in chickens. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOCK PRODUCTION, 11., 2018, Auckland, New Zealand. Proceedings... Massey University, 2018. Digital Archive.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 24. | | VIGNATO, B. S.; CESAR, A. S. M.; AFONSO, J.; MOREIRA, G. C. M.; POLETI, M. D.; PETRINI, J.; GARCIA, I. S.; CLEMENTE, L. G.; MOURÃO, G. B.; REGITANO, L. C. de A.; COUTINHO, L. L. Integrative analysis between genome-wide association study and expression quantitative trait Loci reveals bovine muscle gene expression regulatory polymorphisms associated with intramuscular fat and backfat thickness. Frontiers in Genetics, v. 13, 935238, aug. 2022. 15 p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 25. | | SALVIAN, M.; MOREIRA, G. C. M.; REIS, A. P.; DAURIA, B. D.; PILONETTO, F.; GERVÁSIO, I. C.; LEDUR, M. C.; COUTINHO, L. L.; SPANGLER, M. L.; MOURÃO, G. B. Estimation of breeding values using different densities of SNP to inform kinship in broiler chickens. Livestock Science, v. 267, n.105124, 2023.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 26. | | MARCHESI, J. A. P.; ONO, R. K.; CANTAO, M. E.; IBELLI, A. M. G.; PEIXOTO, J. de O.; MOREIRA, G. C. M.; GODOY, T. F.; COUTINHO, L. L.; MUNARI, D. P.; LEDUR, M. C. Exploring the genetic architecture of feed efficiency traits in chickens. Scientific Reports, v. 11, n. 4622, 2021.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 27. | | TREVISOLI, P. A.; MOREIRA, G. C. M.; BOSCHIERO, C.; CESAR, A. S. M.; PETRINI, J.; MARGARIDO, G. R. A.; LEDUR, M. C.; MOURÃO, G. B.; GARRICK, D.; COUTINHO, L. L. A missense mutation in the MYBPH gene is associated with abdominal fat traits in meat-type chickens. Frontiers in Genetics, v. 12, n. 698163, 2021.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 28. | | DEFANT, H.; MEIRA, A. N.; COUTINHO, L. L.; REGITANO, L. C. de A.; POLETI, M. D.; MOREIRA, G. C. M.; PADUAN, M.; MARIANI, P.; ZERLOTINI NETO, A.; MOURÃO, G. B.; CESAR, A. S. M. Novel polymorphisms in the PLIN2 gene of Nellore cattle. Genetics and Molecular Research, v. 18, n. 3, 2019. Não paginado. Na publicação: Luciana CA Regitano, Adhemar Zerlotini. gmr16039963.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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| 29. | | PETRY, B.; MOREIRA, G. C. M.; COPOLA, A. G. L.; SOUZA, M. M. de; VEIGA, F. C. da; JORGE, E. C.; PEIXOTO, J. de O.; LEDUR, M. C.; KOLTES, J. E.; COUTINHO, L. L. SAP30 gene is a probable regulator of muscle hypertrophy in chickens. Frontiers in Genetic, v. 12, n. 709937, 2021.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 30. | | MOREIRA, G. C. M.; POLETI, M. D.; PÉRTILLE, F.; BOSCHIERO, C.; CESAR, A. S. M.; GODOY, T. F.; LEDUR, M. C.; REECY, J. M.; GARRICK, D. J.; COUTINHO, L. L. Unraveling genomic associations with feed efficiency and body weight traits in chickens through an integrative approach. BMC Genetics, v. 20, n. 83, 2019.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 31. | | MOREIRA, G. C. M.; GODOY, T. F.; BOSCHIERO, C.; GHEYAS, A. A.; GASPARIN, G.; ANDRADE, S. C. S.; PADUAN, M.; MONTENEGRO, H.; BURT, D. W.; LEDUR, M. C.; COUTINHO, L. L. Variant discovery in a QTL region on chromosome 3 associated with fatness in chickens. Animal Genetic, v. 46, n. 2, p. 141-147, 2015.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 32. | | CESAR, A. S. M.; REGITANO, L. C. de A.; REECY, J. M.; POLETI, M. D.; OLIVEIRA, P. S. N. de; OLIVEIRA, G. B. de; MOREIRA, G. C. M.; MUDADU, M. de A.; TIZIOTO, P. L.; KOLTES, J. E.; Fritz-Waters, E.; KRAMER, L.; GARRICK, D.; BEIKI, H.; GEISTLINGER, L.; MOURÃO, G. B.; ZERLOTINI NETO, A.; COUTINHO, L. L. Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits. BMC Genomics, v. 19, p. 1-20, 2018. Article number: 499. Na publicação: Luciana C. A. Regitano, Maurício A. Mudadu, Adhemar Zerlotini.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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| 33. | | MARCHESI, J. A. P.; BUZANSKAS, M. E.; CANTAO, M. E.; IBELLI, A. M. G.; PEIXOTO, J. de O.; JOAQUIM, L. B.; MOREIRA, G. C. M.; GODOY, T. F.; SBARDELLA, A. P.; FIGUEIREDO, E. A. P. de; COUTINHO, L. L.; MUNARI, D. P.; LEDUR, M. C. Relationship of runs of homozygosity with adaptive and production traits in a paternal broiler line. Animal, v. 12, n. 6, p. 1126-1134, 2018.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 34. | | FINALLI, S. L.; SILVA, B. P. M. DA; GOMES, J. D.; ALMEIDA, V. V. DE; FREITAS, F. A. O.; MOREIRA, G. C. M.; VIGNATO, B. S.; AFONSO, J.; REECY, J.; KOLTES, J.; KOLTES, D.; REGITANO, L. C. de A.; GARRICK, D. J.; BALIEIRO, J. C. DE C.; MEIRA, A. N.; FREITAS, L.; COUTINHO, L. L.; FUKUMASU, H.; MOURÃO, G. B.; ALENCAR, S. M. DE; LUCHIARI FILHO, A.; CESAR, A. S. M. Differential gene expression associated with soybean oil level in the diet of pigs. Animals, v. 12, n. 13 1632, jun. 2022. 21 p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 35. | | FANALLI, S. L.; SILVA, B. P. M. DA; GOMES, J. D.; CICONELLO, F. N.; ALMEIDA, V. V. DE; FREITAS, F. A. O.; MOREIRA, G. C. M.; VIGNATO, B. S.; AFONSO, J.; REECY, J.; KOLTES, J.; KOLTES, D.; REGITANO, L. C. de A.; BAILEIRO, J. C. DE C.; FREITAS, L.; COUTINHO, L. L.; FUKUMASU, H.; ALENCAR, S. M. DE; LUCHIARI FILHO, A.; CESAR, A. S. M. Effect of dietary soybean oil inclusion on liver-related transcription factors in a pig model for metabolic diseases. Scientific Reports, v. 12, 10318, jun. 2022. 10 p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 36. | | ALMEIDA, V. V.; SILVA, J. P. M.; SCHINCKEL, A. P.; MEIRA, A. N.; MOREIRA, G. C. M.; GOMES, J. D.; POLETI, M. D.; DARGELIO, M. D. B.; PATINHO, I.; CONTRERAS-CASTILLO, C. J.; COUTINHO, L. L.; MOURÃO, G. B.; REECY, J. M.; KOLTES, D.; SERÃO, N. V. L.; REGITANO, L. C. de A.; FUKUMASU, H.; BRUSTOLINI, A. P. L.; ALENCAR, S. M.; LUCHIARI FILHO, A.; CESAR, A. S. M. Effects of increasing dietary oil inclusion from different sources on growth performance, carcass and meat quality traits, and fatty acid profile in genetically lean immunocastrated male pigs. Livestock Science, v.248, jun. 2021, 104515. 10 p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| Registros recuperados : 36 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
19/02/2019 |
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Data da última atualização: |
19/02/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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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. |
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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. |
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Título: |
Gene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Frontiers in Genetics, v.9, n. 441, p. 1-18, 2018. |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Maciez da carne; Qualidade da carne. |
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Thesagro: |
Carne; Gado de Corte. |
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Thesaurus NAL: |
Beef; Beef cattle; Beef quality. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/193047/1/8-GeneCo-expressionAnalysis.pdf
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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.
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Embrapa Pecuária Sudeste (CPPSE) |
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