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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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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: |
LEADER 03613naa a2200421 a 4500
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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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Biblioteca |
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Milho e Sorgo. |
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Data corrente: |
10/05/2012 |
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Data da última atualização: |
17/08/2017 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
ALVARENGA, R. C.; GONTIJO NETO, M. M.; KLUTHCOUSKI, J. |
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Afiliação: |
RAMON COSTA ALVARENGA, CNPMS; MIGUEL MARQUES GONTIJO NETO, CNPMS; JOAO KLUTHCOUSKI, CNPAF. |
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Título: |
O milho na integração lavoura-pecuária. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
In: CRUZ, J. C.; MAGALHAES, P. C.; PEREIRA FILHO, I. A.; MOREIRA, J. A. A. (Ed.). Milho: o produtor pergunta, a Embrapa responde. Brasília, DF: Embrapa Informação Tecnológica; Sete Lagoas: Embrapa Milho e Sorgo, 2011. cap. 17, p. 269-278. |
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Série: |
(Coleção 500 perguntas, 500 respostas). |
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Idioma: |
Português |
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Palavras-Chave: |
Integração lavoura-pecuária; Plantio consorciado. |
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Thesagro: |
Consorciação de Cultura; Milho. |
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Categoria do assunto: |
A Sistemas de Cultivo
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/80987/1/Milho-integracao.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/59330/1/Kluthcouski-cp-17.pdf
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Marc: |
LEADER 00767naa a2200193 a 4500
001 1927313
005 2017-08-17
008 2011 bl uuuu u00u1 u #d
100 1 $aALVARENGA, R. C.
245 $aO milho na integração lavoura-pecuária.
260 $c2011
490 $a(Coleção 500 perguntas, 500 respostas).
650 $aConsorciação de Cultura
650 $aMilho
653 $aIntegração lavoura-pecuária
653 $aPlantio consorciado
700 1 $aGONTIJO NETO, M. M.
700 1 $aKLUTHCOUSKI, J.
773 $tIn: CRUZ, J. C.; MAGALHAES, P. C.; PEREIRA FILHO, I. A.; MOREIRA, J. A. A. (Ed.). Milho: o produtor pergunta, a Embrapa responde. Brasília, DF: Embrapa Informação Tecnológica; Sete Lagoas: Embrapa Milho e Sorgo, 2011. cap. 17, p. 269-278.
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Embrapa Milho e Sorgo (CNPMS) |
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