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Registros recuperados : 11 | |
1. | | HIGUERA-PADILLA, A.R.; BATISTA, A. A.; COLNAGO, L. A. Reação de transferência de hidrogênio catalisada por complexos de rutênio In: JORNADA CIENTÍFICA - EMBRAPA SÃO CARLOS, 8., 2016, São Carlos, SP. Anais... São Carlos: Embrapa Instrumentação: Embrapa Pecuária Sudeste, 2016. p.50. Editores técnicos: Wilson Tadeu Lopes da Silva, José Manoel Marconcini, Maria Alice Martins, Lucimara Aparecida Forato, Paulino Ribeiro Villas Boas. (Embrapa Instrumentação. Documentos, 61). Biblioteca(s): Embrapa Instrumentação. |
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4. | | KOCK, F. V. C.; HIGUERA-PADILLA, A. R.; VIGATTO, M. S. S.; MARTIN NETO, L.; COLNAGO, L. A. Magnetic resonance studies of copper (II) sorbitol complex, in solution, reveal a supramolecular structure compatible to the crystal structure. Magnetic Resonance in Chemistry, v. 57, n. 7, 2019. 404-411 Biblioteca(s): Embrapa Instrumentação. |
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5. | | CÔNSOLO, N. R. B.; ROSA, A. F.; BARBOSA, L. C. G. S.; MACLEAN, P. H.; HIGUERA-PADILLA, A.; COLNAGO, L. A.; TITTO, E. A. L. Preliminary study on the characterization of Longissimus lumborum dark cutting meat in Angus × Nellore crossbreed cattle using NMR-based metabolomics. Meat Science, v. 172, 108350, 2021. Biblioteca(s): Embrapa Instrumentação. |
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6. | | GÓMEZ, J. F. M.; CÔNSOLO, N. R. B.; ANTONELO, D. S.; BELINE, M.; GAGAOUA, M.; HIGUERA-PADILLA, A.; COLNAGO, L. A.; GERRARD, D. E.; SILVA, S. L. Impact of cattle feeding strategy on the beef metabolome. Metabolites, v. 12, 640, 2022. 14 p. Biblioteca(s): Embrapa Instrumentação. |
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7. | | SILVEIRA, R. G. da; HIGUERA-PADILLA, A. R.; CUNHA, B. N. da; ARAÚJO-NETO, J. H. de; CATÃO, A. J. L.; COLNAGO, L. A.; CASTELLANO, E. E.; BATISTA, A. A. Synthesis, structure determination and catalytic activity of a novel Ruthenium(II) [RuCl(dppb)(44bipy)(4-pic)]PF6 complex. Journal of the Brazilian Chemical Society, v. 32, n. 9 2021 1802 - 1818 Biblioteca(s): Embrapa Instrumentação. |
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8. | | CÔNSOLO, N. R. B.; SILVA, J.; BUARQUE, V. L. M.; HIGUERA-PADILLA, A.; BARBOSA, L. C. G. S.; ZAWADZKI, A.; COLNAGO, L. A.; SARAN NETTO, A.; GERRARD, D. E.; SILVA, S. L. Selection for growth and precocity alters muscle metabolism in Nellore Cattle. Metabolites, v. 10, n. 58, 2020. 1 - 12 Biblioteca(s): Embrapa Instrumentação. |
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9. | | CÔNSOLO, N. R. B.; BUARQUE, V. L. M.; SILVA, J.; POLETI, M. D.; BARBOSA, L. C. G. S.; HIGUERA-PADILLA, A.; GOMEZ, J. F. M.; COLNAGO, L. A.; GERRARD, D. E.; SARAN NETO, A.; SILVA, S. L. Muscle and liver metabolomic signatures associated with residual feed intake in Nellore cattle. Animal Feed Science and Technology, v. 271, 114757, 2021. Biblioteca(s): Embrapa Instrumentação. |
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10. | | CÔNSOLO, N. R. B.; SAMUELSSON, L. M.; BARBOSA, L. C. G. S.; MONARETTO, T.; MORAES, T. B.; BUARQUE, V. L. M.; HIGUERA-PADILLA, A. R.; COLNAGO, L. A.; SILVA, S. L.; REIS, M. M.; FONSECA, A. C.; ARAÚJO, C. S. S.; LEITE, B. G. S.; ROQUE, F. A.; ARAÚJO, L. F. Characterization of chicken muscle disorders through metabolomics, pathway analysis, and water relaxometry: a pilot study. Poultry Science, v. 99, n. 11, 2020. 6247-6257 Biblioteca(s): Embrapa Instrumentação. |
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11. | | CÔNSOLO, N. R. B.; SILVA, J.; BUARQUE, V. L. M.; SAMUELSSON, L. M.; MILLER, P.; MACLEAN, P. H.; MORAES, T. B.; BARBOSA, L. C. G. S.; HIGUERA-PADILLA, A.; COLNAGO, L. A.; SARAN NETTO, A.; GERRARD, D. E.; SILVA, S. L. Using TD-NMR relaxometry and 1D 1 H NMR spectroscopy to evaluate aging of Nellore beef. Meat Science, v. 181, a. 108606, 2021. 1-10 Biblioteca(s): Embrapa Instrumentação. |
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Registros recuperados : 11 | |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Instrumentação. Para informações adicionais entre em contato com cnpdia.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
05/04/2021 |
Data da última atualização: |
10/06/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
CÔNSOLO, N. R. B.; BUARQUE, V. L. M.; SILVA, J.; POLETI, M. D.; BARBOSA, L. C. G. S.; HIGUERA-PADILLA, A.; GOMEZ, J. F. M.; COLNAGO, L. A.; GERRARD, D. E.; SARAN NETO, A.; SILVA, S. L. |
Afiliação: |
LUIZ ALBERTO COLNAGO, CNPDIA. |
Título: |
Muscle and liver metabolomic signatures associated with residual feed intake in Nellore cattle. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Animal Feed Science and Technology, v. 271, 114757, 2021. |
ISSN: |
0377-8401 |
DOI: |
https://doi.org/10.1016/j.anifeedsci.2020.114757 |
Idioma: |
Inglês |
Conteúdo: |
Identification of those cattle genetics with superior feed efficiency is necessary to increase the productivity of the entire beef industry. The aim of this study was to investigate metabolites profiling in the liver and muscle to identify physiological changes in animals in the livestock system with low or high residual feed intake. Liver and muscle were collected after slaughter from Nellore males, with high and low residual feed intake (H-RFI, n = 10 and L-RFI, n = 10, respectively). Metabolites were extracted with cold methanol/water solution (4:3 v/v). Metabolomics analyses were performed by 1D 1 H nuclear magnetic resonance. Metabolites were identified using Chenomx and analysed using MetaboAnalyst 4.0. The residual feed intake classification did not change most of animal performance traits; however, animals with lower residual feed intake presented greater carcass dressing, lower carcass fat deposition. Sixty-three compounds were identified in the liver and 31 in muscle. Coexpression network analysis was carried out and identified four metabolite network modules correlated with the phenotypic traits, indicating common metabolites with a variate important projection score that influences residual feed intake. Metabolites in liver samples was correlated with energy and protein metabolism and on muscle with fat metabolism. Differences on energetic metabolism, including of carbohydrate- and fat-correlated compounds, according to residual feed intake can be assessed by importance of concentration of citrate, isocitrate, glucose-6-phosphate, nicotinamide adenine dinucleotide + hydrogen and creatine phosphate (in liver) and choline, glycine, glycerol, malonate, glucose-6- phosphate and 3-hydroxybutyrate (in muscle). Moreover, differences on protein metabolism, MenosIdentification of those cattle genetics with superior feed efficiency is necessary to increase the productivity of the entire beef industry. The aim of this study was to investigate metabolites profiling in the liver and muscle to identify physiological changes in animals in the livestock system with low or high residual feed intake. Liver and muscle were collected after slaughter from Nellore males, with high and low residual feed intake (H-RFI, n = 10 and L-RFI, n = 10, respectively). Metabolites were extracted with cold methanol/water solution (4:3 v/v). Metabolomics analyses were performed by 1D 1 H nuclear magnetic resonance. Metabolites were identified using Chenomx and analysed using MetaboAnalyst 4.0. The residual feed intake classification did not change most of animal performance traits; however, animals with lower residual feed intake presented greater carcass dressing, lower carcass fat deposition. Sixty-three compounds were identified in the liver and 31 in muscle. Coexpression network analysis was carried out and identified four metabolite network modules correlated with the phenotypic traits, indicating common metabolites with a variate important projection score that influences residual feed intake. Metabolites in liver samples was correlated with energy and protein metabolism and on muscle with fat metabolism. Differences on energetic metabolism, including of carbohydrate- and fat-correlated compounds, according to residual feed intake can be assessed by imp... Mostrar Tudo |
Palavras-Chave: |
Muscle; Residual feed intake. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02667naa a2200289 a 4500 001 2131049 005 2022-06-10 008 2021 bl uuuu u00u1 u #d 022 $a0377-8401 024 7 $ahttps://doi.org/10.1016/j.anifeedsci.2020.114757$2DOI 100 1 $aCÔNSOLO, N. R. B. 245 $aMuscle and liver metabolomic signatures associated with residual feed intake in Nellore cattle.$h[electronic resource] 260 $c2021 520 $aIdentification of those cattle genetics with superior feed efficiency is necessary to increase the productivity of the entire beef industry. The aim of this study was to investigate metabolites profiling in the liver and muscle to identify physiological changes in animals in the livestock system with low or high residual feed intake. Liver and muscle were collected after slaughter from Nellore males, with high and low residual feed intake (H-RFI, n = 10 and L-RFI, n = 10, respectively). Metabolites were extracted with cold methanol/water solution (4:3 v/v). Metabolomics analyses were performed by 1D 1 H nuclear magnetic resonance. Metabolites were identified using Chenomx and analysed using MetaboAnalyst 4.0. The residual feed intake classification did not change most of animal performance traits; however, animals with lower residual feed intake presented greater carcass dressing, lower carcass fat deposition. Sixty-three compounds were identified in the liver and 31 in muscle. Coexpression network analysis was carried out and identified four metabolite network modules correlated with the phenotypic traits, indicating common metabolites with a variate important projection score that influences residual feed intake. Metabolites in liver samples was correlated with energy and protein metabolism and on muscle with fat metabolism. Differences on energetic metabolism, including of carbohydrate- and fat-correlated compounds, according to residual feed intake can be assessed by importance of concentration of citrate, isocitrate, glucose-6-phosphate, nicotinamide adenine dinucleotide + hydrogen and creatine phosphate (in liver) and choline, glycine, glycerol, malonate, glucose-6- phosphate and 3-hydroxybutyrate (in muscle). Moreover, differences on protein metabolism, 653 $aMuscle 653 $aResidual feed intake 700 1 $aBUARQUE, V. L. M. 700 1 $aSILVA, J. 700 1 $aPOLETI, M. D. 700 1 $aBARBOSA, L. C. G. S. 700 1 $aHIGUERA-PADILLA, A. 700 1 $aGOMEZ, J. F. M. 700 1 $aCOLNAGO, L. A. 700 1 $aGERRARD, D. E. 700 1 $aSARAN NETO, A. 700 1 $aSILVA, S. L. 773 $tAnimal Feed Science and Technology$gv. 271, 114757, 2021.
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