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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
21/01/2016 |
Data da última atualização: |
22/06/2016 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
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. |
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. |
Título: |
Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
BMC Genomics, London, v. 16, p. 1-14, 2015. |
DOI: |
DOI 10.1186/s12864-015-1464-x |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
Bioinformática; Feed efficiency; RFI; Sequenciamento genético; Transcriptoma. |
Thesagro: |
Bos Indicus. |
Thesaurus Nal: |
Bioinformatics; Feed conversion; Transcriptomics; Zebu. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/138317/1/Global-liver-Tizioto.pdf
|
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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Registro Completo
Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
23/01/2013 |
Data da última atualização: |
05/04/2013 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
MORENO, R. M. B.; MARTINS, M. A.; SCALOPPI JUNIOR, E. J.; GONÇALVES, P. S.; MATTOSO, L. H. C. |
Afiliação: |
MARIA ALICE MARTINS, CNPDIA; LUIZ HENRIQUE CAPPARELLI MATTOSO, CNPDIA. |
Título: |
Studies of natural rubber of the brazilian clones from IAC SERIES 500 |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
In: INTERNATIONAL SEMINAR ON ELASTOMERS - ISE, 13., 2012, Búzios, RJ. Anais... Rio de Janeiro: UERJ, 2012. p. 27-28. 1 CD-ROM. |
Idioma: |
Inglês |
Palavras-Chave: |
IAC SERIES 500. |
Thesaurus NAL: |
clones. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/80858/1/Proci-12.00238.pdf
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Marc: |
LEADER 00568nam a2200157 a 4500 001 1946080 005 2013-04-05 008 2012 bl uuuu u00u1 u #d 100 1 $aMORENO, R. M. B. 245 $aStudies of natural rubber of the brazilian clones from IAC SERIES 500 260 $aIn: INTERNATIONAL SEMINAR ON ELASTOMERS - ISE, 13., 2012, Búzios, RJ. Anais... Rio de Janeiro: UERJ, 2012. p. 27-28. 1 CD-ROM.$c2012 650 $aclones 653 $aIAC SERIES 500 700 1 $aMARTINS, M. A. 700 1 $aSCALOPPI JUNIOR, E. J.; GONÇALVES, P. S. 700 1 $aMATTOSO, L. H. C.
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