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| Registros recuperados : 181 | |
| 121. |  | OLIVEIRA, P. S. N. DE; ANDRADE, B. G.; CONTEVILLE, L. C.; CARDOSO, T. F.; PASCHOAL, J. J.; JOSAHKIAN, L. A.; ALMEIDA, L. F.; MARCONDES, C. R.; MOURÃO, G. B.; COUTINHO, L. L.; REECY, J. M.; REGITANO, L. C. de A. Microbial diversity in the stool of Bos indicus divergent for feed efficiency. Italian Journal of Animal Science, v. 22, supplement 1, 2023. p. 194. Congress of the Animal Science and Production Association, 25., Monopoli (BARI – ITALY), June 13–16, 2023.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 122. | | ANDRADE, R. G.; HOTT, M. C.; MOTTA, M. B.; MAGALHAES JUNIOR, W. C. P. de; GALDINO, S.; RODRIGUES, C. A. G.; RONQUIM, C. C.; SILVEIRA, H. L. F. da; OLIVEIRA, P. S. d'. Monitoramento e avaliação qualitativa de pastagens a partir de dados NDVI/MODIS. Revista Contemporânea, v. 3, n. 11, p. 23441-23460, 2023.| Biblioteca(s): Embrapa Gado de Leite; Embrapa Territorial. |
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| 123. | | SOUZA, M. M.; ZERLOTINI, A.; TIZIOTO, P. C.; OLIVEIRA, P. S. N.; SOMAVILLA, A. L.; MOKRY, F. B.; CESAR, A. S. M.; DINIZ, W. J. S.; MUDADU, M. A.; NICIURA, S. C. M.; COUTINHO, L. L.; REGITANO, L. C. A. Monoallelic expression of NNAT gene in Nelore steers skeletal muscle. In: WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10.; 2014, Vancouver. Proceedings... Vancouver: American Society of Animal Science, 2014. Não paginado. WCGALP 2014.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 124. | | OLIVEIRA, P. S. N. de; CESAR, A. S. M.; OLIVEIRA, G. B. de; TIZIOTO, P. C.; POLETI, M. D.; DINIZ, W. J. da S.; LIMA, A. O. de; REECY, J. M.; COUTINHO, L. L.; REGITANO, L. C. de A. miRNAs related to fatty acids composition in Nellore cattle. Journal of Animal Science, v. 94, e-suppl. 5; Journal of Dairy Science, v. 99, e-suppl. 1, p. 159, jul. 2016. p. 160.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 125. | | HOTT, M. C.; ANDRADE, R. G.; VILELA, D.; MAGALHAES JUNIOR, W. C. P. de; PACIULLO, D. S. C.; GOMIDE, C. A. de M.; ROCHA, W. S. D. da; OLIVEIRA, P. S. d'. Disponibilização de mapeamentos das condições das pastagens por meio de plataforma de dados geográficos. Revista Contemporânea, v. 3, n. 12, p. 26326-26342, 2023.| Biblioteca(s): Embrapa Gado de Leite. |
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| 126. | | OLIVEIRA, P. S. N. de; TIZIOTO, P. C.; OLIVEIRA, G. B.; CESAR, A. S. M.; DINIZ, W. J. da S.; LIMA, A. O. de; REECY, J. M.; COUTINHO, L. L.; REGITANO, L. C. de A. Differentially expressed miRNAs in skeletal muscle related to feed efficiency in Nellore cattle. Journal of Animal Science, v. 94, e-suppl. 5; Journal of Dairy Science, v. 99, e-suppl. 1, p. 159, jul. 2016.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 127. | | OLIVEIRA, P. S. N. DE; ANDRADE, B. G.; CARDOSO, T. F.; PASCHOAL, J. J.; JOSAHKIAN, L. A.; ALMEIDA, L. F.; MARCONDES, C. R.; MOURÃO, G. B.; COUTINHO, L. L.; REECY, J. M.; REGITANO, L. C. de A. Differentially expressed miRNAs in the stool of Bos indicus divergent for feed efficiency. Italian Journal of Animal Science, v. 22, supplement 1, 2023. p. 193-194. Congress of the Animal Science and Production Association, 25., Monopoli (BARI – ITALY), June 13–16, 2023.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 128. | | BUSS, C. E.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; MUDADU, M. de A.; CESAR, A. S. M.; VENTURA, R. V.; AFONSO, J.; LIMA, A. O. de; COUTINHO, L. L.; TULLIO, R. R.; REGITANO, L. C. de A. Genome-wide efficient mixed-model study for meat quality in Nellore cattle. Journal of Animal Science, v. 94, e-suppl. 5; Journal of Dairy Science, v. 99, e-suppl. 1, p. 159, jul. 2016.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 129. | | BUSS, C. E.; TIZIOTO, P. C.; OLIVEIRA, P. S. N.; MUDADU, M. de A.; CESAR, A. S. M.; VENTURA, R. V.; AFONSO, J.; LIMA, A. O. D.; COUTINHO, L. L.; TULLIO, R. R.; REGITANO, L. C. de A. Genome-wide efficient mixed-model study for meat quality in Nellore cattle. Journal of Animal Science, v. 94, p. 428-429, 2016. Supplement 5. Na publicação: M. A. Mudadu.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 130. | | SOMAVILLA, A. L.; REGITANO, L. C. de A.; ROSA, G. J. M.; MOKRY, F. B.; MUDADU, M. de A.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; SOUZA, M. M. de; COUTINHO, L. L.; MUNARI, D. P. Genome-enabled prediction of breeding values for feedlot average daily weight gain in nelore cattle. G3: Genes, Genomes, Genetics, v. 7, p. 1-17, 2017.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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| 131. | | DINIZ, W. J. da S.; CESAR, A. S. M.; GEISTLINGER, L.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; AFONSO, J.; ROCHA, M. I. P.; LIMA, A. O. de; BUSS, C. E.; COUTINHO, L. L.; REGITANO, L. C. de A. Co-expression network analysis identifies genes associated with iron content in bovine muscle. In: WORKSHOP ON OMICS STRATEGIES APPLIED TO LIVESTOCK SCIENCE, 1., 2017, Piracicaba, SP. Proceedings... São Carlos, SP: Embrapa Pecuária Sudeste, 2017. p. 19. (Embrapa Pecuária Sudeste. Documentos, 125) Editores: Luiz Lehmann Coutinho, ESALQ/USP; Luciana Correia de Almeida Regitano, Embrapa Pecuária Sudeste; Gerson Barreto Mourão, ESALQ/USP; Aline Silva Mello Cesar, ESALQ/USP; Bárbara Silva Vignato, FZEA/USP; Mirele Daiana Poleti,...| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 132. | | DINIZ, W. J. da S.; CESAR, A. S. M.; GEISTLINGER, L.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; AFONSO, J.; ROCHA, M. I. P.; LIMA, A. O. de; BUSS, C. E.; COUTINHO, L. L.; REGITANO, L. C. de A. Co-expression network analysis identifies genes associated with meat tenderness. In: INTERNATIONAL SOCIETY FOR ANIMAL GENETICS CONFERENCE, 36., 2017, Dublin. Proceedings... Dublin: University College Dublin, 2017. p. 144.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 133. | | VASCONCELOS, M. A. M. de; MATTIETTO, R. de A.; GONÇALVES, A. C. S.; OLIVEIRA, P. S.; MOREIRA, P. I. O.; ALVES, S. M.; MOREIRA, D. K. T.; FIGUEIREDO, J. G.; DANTAS FILHO, H. A. Avaliação do processo de extração e caracterização do óleo e sementes de andiroba (Carapa guianensis Aublet). In: CONFERÊNCIA DO SUBPROGRAMA DE CIÊNCIA E TECNOLOGIA - SPC&T FASE II/PPG7, 2008, Belém, PA. Anais... Brasília, DF: CNPq, 2009. p. 365-367. Disponível também em CD-ROM (CD 00173).| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 134. | | DINIZ, W. J. S.; MAZZONI, G.; COUTINHO; BANERJEE, P.; GEISTLINGER, L.; CESAR, A. S. M.; BERTOLINI. F.; AFONSO, J.; OLIVEIRA, P. S. N.; TIZIOTO, P. C.; KADARMIDEEN, H. N.; REGITANO, L. C. de A. Detection of Co-expressed pathway modules associated with mineral concentration and meat quality in nelore cattle. Frontiers in genetics, v. 10, n. 210, p. 1-12, 2019.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 135. | | BUSS, C. E.; AFONSO, J.; OLIVEIRA, P. S. N. DE; PETRINI, J.; TIZIOTO, P. C.; CESAR, A. S. M.; GUSTANI-BUSS, E. C.; CARDOSO, T. F.; ROVADOSKI, G. A.; DINIZ, W. J. DA S.; LIMA, A. O. DE; ROCHA, M. I. P.; ANDRADE, B. G. N.; WOLF, J. B.; COUTINHO, L. L.; MOURÃO, G. B.; REGITANO, L. C. de A. Bivariate GWAS reveals pleiotropic regions among feed efficiency and beef quality-related traits in Nelore cattle. Mammalian Genome, v. 34, p. 90-103, dec. 2022.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 136. | | ROCHA, M. I. P.; SOUZA, M. M. de; ZERLOTINI NETO, A.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; LIMA, A. O. de; AFONSO, J.; DINIZ, W. J. da S.; BUSS, C. E.; COUTINHO, L. L.; REGITANO, L. C. de A.; NICIURA, S. C. M. LDHB gene has allele-specific expression in liver of Nelore cattle extremes for feed efficiency. In: WORKSHOP ON OMICS STRATEGIES APPLIED TO LIVESTOCK SCIENCE, 1., 2017, Piracicaba, SP. Proceedings... São Carlos, SP: Embrapa Pecuária Sudeste, 2017. p. 25. (Embrapa Pecuária Sudeste. Documentos, 125). Editores: Luiz Lehmann Coutinho, Luciana C. de A. Regitano, Gerson Barreto Mourão, Aline Silva Mello Cesar, Bárbara Silva Vignato, Mirele Daiana Poleti, Wellison Jarles da Silva Diniz.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 137. | | ROCHA, M. I. P.; SOUZA, M. M. de; ZERLOTINI NETO, A.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; LIMA, A. O. de; AFONSO, J.; DINIZ, W. J. da S.; BUSS, C. E.; COUTINHO, L. L.; REGITANO, L. C. de A.; NICIURA, S. C. M. LDHB gene has allele-specific expression in liver of Nelore cattle extremes for feed efficiency. In: WORKSHOP ON OMICS STRATEGIES APPLIED TO LIVESTOCK SCIENCE, 1., 2017, Piracicaba, SP. Proceedings... São Carlos, SP: Embrapa Pecuária Sudeste, 2017. p. 25. (Embrapa Pecuária Sudeste. Documentos, 125) Editores: Luiz Lehmann Coutinho, ESALQ/USP; Luciana Correia de Almeida Regitano, Embrapa Pecuária Sudeste; Gerson Barreto Mourão, ESALQ/USP; Aline Silva Mello Cesar, ESALQ/USP; Bárbara Silva Vignato, FZEA/USP; Mirele Daiana Poleti,...| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 138. | | OLIVEIRA, P. S. N. de; COUTINHO, L. L.; TIZIOTO, P. C.; CESAR, A. S. M.; OLIVEIRA, G. B. de; DINIZ, W, J. da S.; LIMA, A. O. de; REECY, J. M.; MOURÃO, G. B.; ZERLOTINI NETO, A.; REGITANO, L. C. de A. An integrative transcriptome analysis indicates regulatory mRNA-miRNA networks for residual feed intake in Nelore cattle. Scientific Reports, v. 8, p. 1-12, 2018. Article number: 17072. Na publicação: Adhemar Zerlotini, Luciana C. A. Regitano.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 139. | | OLIVEIRA, P. S. N. de; COUTINHO, L. L.; TIZIOTO, P. C.; CESAR, A. S. M.; OLIVEIRA, G. B. de; DINIZ, W, J. da S.; LIMA, A. O. de; REECY, J. M.; MOURÃO, G. B.; ZERLOTINI NETO, A.; REGITANO, L. C. de A. An integrative transcriptome analysis indicates regulatory mRNA-miRNA networks for residual feed intake in Nelore cattle. Scientific Reports, v. 8, n. 17072, 2018.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 140. | | CESAR, A. S. M.; REGITANO, L. C. de A.; POLETI, M. D.; ANDRADE, S. C. da S.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; LANNA, D. P. D.; TULLIO, R. R.; NASSU, R. T.; KOLTES, J. E.; WATERS, E. F.; REECY, J. M.; COUTINHO, L. L. Association of skeletal muscle transcripts with fatty acid content in Nellore cattle. In: INTERNATIONAL SOCIETY FOR ANIMAL GENETICS CONFERENCE, 35., 2016, Salt Lake City. Proceedings... Salt Lake City: ISAG, 2016.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| Registros recuperados : 181 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
21/01/2016 |
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Data da última atualização: |
22/06/2016 |
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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: |
TIZIOTO, P.; COUTINHO, L. L.; DECKER, J. E.; SCHNABEL, R. D.; ROSA, C. O.; OLIVEIRA, P. S. N.; SOUZA, M. M.; MOURÃO, G. B.; TULLIO, R. R.; CHAVES, A. S.; LANNA, D. P. D.; ZERLOTINI NETO, A.; MUDADU, M. A.; TAYLOR, J. F.; REGITANO, L. C. A. |
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Afiliação: |
POLYANA TIZIOTO, CPPSE, University of Missouri Columbia; LUIZ L. COUTINHO, Esalq/USP; JARED E. DECKER, University of Missouri Columbia; ROBERT D. SCHNABEL, University of Missouri Columbia; KAMILA O. ROSA, Unesp Jaboticabal; PRISCILA S. N. OLIVEIRA, UFSCar; MARCELA M. SOUZA, UFSCar; GERSON B. MOURÃO, Esalq/USP; RYMER RAMIZ TULLIO, CPPSE; AMÁLIA S. CHAVES, Esalq/USP; DANTE P. D. LANNA, Esalq/USP; ADHEMAR ZERLOTINI NETO, CNPTIA; MAURICIO DE ALVARENGA MUDADU, CPPSE; JEREMY F. TAYLOR, University of Missouri Columbia; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE. |
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Título: |
Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
BMC Genomics, London, v. 16, p. 1-14, 2015. |
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DOI: |
DOI 10.1186/s12864-015-1464-x |
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Idioma: |
Inglês |
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Conteúdo: |
Background: Efficiency of feed utilization is important for animal production because it can reduce greenhouse gas emissions and improve industry profitability. However, the genetic basis of feed utilization in livestock remains poorly understood. Recent developments in molecular genetics, such as platforms for genome-wide genotyping and sequencing, provide an opportunity to identify genes and pathways that influence production traits. It is known that transcriptional networks influence feed efficiency-related traits such as growth and energy balance. This study sought to identify differentially expressed genes in animals genetically divergent for Residual Feed Intake (RFI), using RNA sequencing methodology (RNA-seq) to obtain information from genome-wide expression profiles in the liver tissues of Nelore cattle. Results: Differential gene expression analysis between high Residual Feed Intake (HRFI, inefficient) and low Residual Feed Intake (LRFI, efficient) groups was performed to provide insights into the molecular mechanisms that underlie feed efficiency-related traits in beef cattle. A total of 112 annotated genes were identified as being differentially expressed between animals with divergent RFI phenotypes. These genes are involved in ion transport and metal ion binding; act as membrane or transmembrane proteins; and belong to gene clusters that are likely related to the transport and catalysis of molecules through the cell membrane and essential mechanisms of nutrient absorption. Genes with functions in cellular signaling, growth and proliferation, cell death and survival were also differentially expressed. Among the over-represented pathways were drug or xenobiotic metabolism, complement and coagulation cascades, NRF2-mediated oxidative stress, melatonin degradation and glutathione metabolism. Conclusions: Our data provide new insights and perspectives on the genetic basis of feed efficiency in cattle. Some previously identified mechanisms were supported and new pathways controlling feed efficiency in Nelore cattle were discovered. We potentially identified genes and pathways that play key roles in hepatic metabolic adaptations to oxidative stress such as those involved in antioxidant mechanisms. These results improve our understanding of the metabolic mechanisms underlying feed efficiency in beef cattle and will help develop strategies for selection towards the desired phenotype. MenosBackground: Efficiency of feed utilization is important for animal production because it can reduce greenhouse gas emissions and improve industry profitability. However, the genetic basis of feed utilization in livestock remains poorly understood. Recent developments in molecular genetics, such as platforms for genome-wide genotyping and sequencing, provide an opportunity to identify genes and pathways that influence production traits. It is known that transcriptional networks influence feed efficiency-related traits such as growth and energy balance. This study sought to identify differentially expressed genes in animals genetically divergent for Residual Feed Intake (RFI), using RNA sequencing methodology (RNA-seq) to obtain information from genome-wide expression profiles in the liver tissues of Nelore cattle. Results: Differential gene expression analysis between high Residual Feed Intake (HRFI, inefficient) and low Residual Feed Intake (LRFI, efficient) groups was performed to provide insights into the molecular mechanisms that underlie feed efficiency-related traits in beef cattle. A total of 112 annotated genes were identified as being differentially expressed between animals with divergent RFI phenotypes. These genes are involved in ion transport and metal ion binding; act as membrane or transmembrane proteins; and belong to gene clusters that are likely related to the transport and catalysis of molecules through the cell membrane and essential mechanisms of nutrient... Mostrar Tudo |
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Palavras-Chave: |
Bioinformática; Feed efficiency; RFI; Sequenciamento genético; Transcriptoma. |
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Thesagro: |
Bos Indicus. |
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Thesaurus NAL: |
Bioinformatics; Feed conversion; Transcriptomics; Zebu. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/138317/1/Global-liver-Tizioto.pdf
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Marc: |
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001 2034697
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024 7 $aDOI 10.1186/s12864-015-1464-x$2DOI
100 1 $aTIZIOTO, P.
245 $aGlobal liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.$h[electronic resource]
260 $c2015
520 $aBackground: Efficiency of feed utilization is important for animal production because it can reduce greenhouse gas emissions and improve industry profitability. However, the genetic basis of feed utilization in livestock remains poorly understood. Recent developments in molecular genetics, such as platforms for genome-wide genotyping and sequencing, provide an opportunity to identify genes and pathways that influence production traits. It is known that transcriptional networks influence feed efficiency-related traits such as growth and energy balance. This study sought to identify differentially expressed genes in animals genetically divergent for Residual Feed Intake (RFI), using RNA sequencing methodology (RNA-seq) to obtain information from genome-wide expression profiles in the liver tissues of Nelore cattle. Results: Differential gene expression analysis between high Residual Feed Intake (HRFI, inefficient) and low Residual Feed Intake (LRFI, efficient) groups was performed to provide insights into the molecular mechanisms that underlie feed efficiency-related traits in beef cattle. A total of 112 annotated genes were identified as being differentially expressed between animals with divergent RFI phenotypes. These genes are involved in ion transport and metal ion binding; act as membrane or transmembrane proteins; and belong to gene clusters that are likely related to the transport and catalysis of molecules through the cell membrane and essential mechanisms of nutrient absorption. Genes with functions in cellular signaling, growth and proliferation, cell death and survival were also differentially expressed. Among the over-represented pathways were drug or xenobiotic metabolism, complement and coagulation cascades, NRF2-mediated oxidative stress, melatonin degradation and glutathione metabolism. Conclusions: Our data provide new insights and perspectives on the genetic basis of feed efficiency in cattle. Some previously identified mechanisms were supported and new pathways controlling feed efficiency in Nelore cattle were discovered. We potentially identified genes and pathways that play key roles in hepatic metabolic adaptations to oxidative stress such as those involved in antioxidant mechanisms. These results improve our understanding of the metabolic mechanisms underlying feed efficiency in beef cattle and will help develop strategies for selection towards the desired phenotype.
650 $aBioinformatics
650 $aFeed conversion
650 $aTranscriptomics
650 $aZebu
650 $aBos Indicus
653 $aBioinformática
653 $aFeed efficiency
653 $aRFI
653 $aSequenciamento genético
653 $aTranscriptoma
700 1 $aCOUTINHO, L. L.
700 1 $aDECKER, J. E.
700 1 $aSCHNABEL, R. D.
700 1 $aROSA, C. O.
700 1 $aOLIVEIRA, P. S. N.
700 1 $aSOUZA, M. M.
700 1 $aMOURÃO, G. B.
700 1 $aTULLIO, R. R.
700 1 $aCHAVES, A. S.
700 1 $aLANNA, D. P. D.
700 1 $aZERLOTINI NETO, A.
700 1 $aMUDADU, M. A.
700 1 $aTAYLOR, J. F.
700 1 $aREGITANO, L. C. A.
773 $tBMC Genomics, London$gv. 16, p. 1-14, 2015.
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