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| Registros recuperados : 12 | |
| 1. |  | MOKRY, F. B.; LIMA, A. O. de; MUDADU, M. A.; HIGA, R. H.; MEIRELLES, S. L. C.; REGITANO, L. C. de A. An insight into the linkage disequilibrium map of the Canchim beef cattle breed. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012. Não paginado. X-MEETING 2012.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 2. | | 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. Complex pattern of CAST allelic expression in bovine muscle tissue. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 22., 2014, Boston, USA. Program... [Boston]: International Society for Computational Biology, 2014. Não paginado. ISMB 2014. Pôster E13.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 3. | | MOKRY, F. B.; LIMA, A. O.; MUDADU, M. A.; HIGA, R. H.; MEIRELLES, S. L. C.; SILVA, M. V. B.; CARDOSO, F. F.; NICIURA, S. C. M.; ALENCAR, M. M.; REGITANO, L. C. A. Descriptive analysis of haplotypes in a population of Canchim beef cattle. In: CONGRESSO BRASILEIRO DE GENÉTICA, 58., 2012, Foz do Iguaçu. Resumos... Foz do Iguaçu: SBG, 2012. p. 1.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sul. |
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| 4. | | SOUZA, M. M.; MOKRY, F. C.; TIZIOTO, P. C.; OLIVEIRA, P. S. N.; SOMAVILLA, A.; CESAR, A. S. M.; MORÉ, D.; MOURÃO, G.; DINIZ, W. J. S.; MUDADU, M. A.; NICIURA, S. C. M.; ZERLOTINI, A.; REGITANO, L. C. Allele specific expression analysis in bovine muscle tissue. In: INTERNATIONAL CONFERENCE OF TH AB3C, 11.; BRAZILIAN SYMPOSIUM OF BIOINFORMATICS, 2015, São Paulo. Proceedings... São Paulo: USP-São Paulo, 2015.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 5. | | GIACHETTO, P. F.; PEREIRA, F. C. P.; MOKRY, F. B.; HIGA, R. H.; MUDADU, M. A.; SILVA, M. V.; NICIURA, S. C. M.; CARDOSO, F. F.; ALENCAR, M. M.; MEIRELLES, S. L. C.; LIMA, A. O.; REGITANO, L. C. A. Initial analysis of copy number variations in canchim beef cattle with extreme phenotypes for ribeye area. In: INTERNATIONAL PLANT & ANIMAL GENOME, 21., 2013, San Diego. [Abstracts...]. [S.l.: s.n.], 2013. Não paginado. Pôster P0572.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sul. |
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| 6. | | 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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| 7. | | BUZANSKAS, M. E.; VENTURA, R. V.; CHUD, T. C. S.; SANTOS, D. J. A.; BERNARDES, P. A.; SILVA, T. B. R.; MUDADU, M. A.; REGITANO, L. C. A.; SILVA, M. V. G. B.; LI, C.; SCHENKEL, F. S.; ALENCAR, M. M.; MUNARI, D. P. Admixture analysis in Brazillian synthetic cattle. In: ADSA ASAS JOINT ANNUAL MEETING, 2015, Orlando. Proceedings... Orlando: ADSA: ASAS, 2015.| Biblioteca(s): Embrapa Gado de Leite. |
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| 8. | | SOUZA, M. M.; MOKRY, F. C.; TIZIOTO, P. C.; OLIVEIRA, P. S. N.; SOMAVILLA, A.; CESAR, A. S. M.; MORÉ, D.; MOURÃO, G.; DINIZ, W. J. S.; MUDADU, M. A.; NICIURA, S. C. M.; COUTINHO, L. L.; ZERLOTINI NETO, A.; REGITANO, L. C. Allele specific expression analysis in bovine muscle tissue. In: ANNUAL INTERNACIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 23.; EUROPEAN CONFERENCE ON COMPUTATIONAL BIOLOGY, 14., 2015, Dublin. Posters... [S.l.]: International Society for Computacional Biology, [2015]. Não paginado. ISMB/ECCB 2015. Pôster D17.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 9. | | SOUZA, M. M.; MOKRY, F. C.; TIZIOTO, P. C.; OLIVEIRA, P. S. N.; SOMAVILLA, A.; CESAR, A. S. M.; MORÉ, D.; MOURÃO, G.; DINIZ, W. J. S.; MUDADU, M. A.; NICIURA, S. C. M.; COUTINHO, L. L.; ZERLOTINI, A.; REGITANO, L. C. Allele specific expression analysis in bovine muscle tissue. In: INTERNATIONAL CONFERENCE OF THE AB3C, 11.; BRAZILIAN SYMPOSIUM OF BIOINFORMATICS, 2015, São Paulo. Proceedings... [S.l.]: AB3C, 2015. p. 197. X-meeting 2015.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 10. | | 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. Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes. BMC Genomics, London, v. 16, p. 1-14, 2015.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 11. | | TIZIOTO, P. L.; DECKER, J. E.; SCHNABEL, R. D.; MUDADU, M. A.; SILVA, F. L.; MOURÃO, G. B.; COUTINHO, L. L.; THOLON, P.; SONSTEGARD, T. S.; ROSA, A. N.; ALENCAR, M. M.; TULLIO, R. R.; MEDEIROS, S. R.; NASSU, R. T.; FEIJÓ, G. L. D.; SILVA, L. O. C.; TORRES, R. A.; SIQUEIRA, F.; HIGA, R. H.; TAYLOR, J. F.; REGITANO, L. C. de A. Genome scan revealed new pathways related to meat tenderness in Nelore beef cattle. In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Programme and abstract book... [S.l.: s.n.], 2013. p. 15. ISAFG 2013. AB.08.| Biblioteca(s): Embrapa Gado de Corte. |
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| 12. | | TIZIOTO, P. L.; DECKER, J. E.; SCHNABEL, R. D.; MUDADU, M. A.; SILVA, F. L.; MOURÃO, G. B.; COUTINHO, L. L.; THOLON, P.; SONSTEGARD, T. S.; ROSA, A. N.; ALENCAR, M. M.; TULLIO, R. R.; MEDEIROS, S. R.; NASSU, R. T.; FEIJÓ, G. L. D.; SILVA, L. O. C.; TORRES, R. A.; SIQUEIRA, F.; HIGA, R. H.; TAYLOR, J. F.; REGITANO, L. C. de A. Genome scan revealed new pathways related to meat tenderness in Nelore beef cattle. In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Programme and abstract book... [S.l.: s.n.], 2013. p. 15. ISAFG 2013. AB.08.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 12 | |
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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
005 2016-06-22
008 2015 bl uuuu u00u1 u #d
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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Embrapa Agricultura Digital (CNPTIA) |
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