Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1034697
Registro completo de metadados
Campo DCValorIdioma
dc.contributor.authorTIZIOTO, P.pt_BR
dc.contributor.authorCOUTINHO, L. L.pt_BR
dc.contributor.authorDECKER, J. E.pt_BR
dc.contributor.authorSCHNABEL, R. D.pt_BR
dc.contributor.authorROSA, C. O.pt_BR
dc.contributor.authorOLIVEIRA, P. S. N.pt_BR
dc.contributor.authorSOUZA, M. M.pt_BR
dc.contributor.authorMOURÃO, G. B.pt_BR
dc.contributor.authorTULLIO, R. R.pt_BR
dc.contributor.authorCHAVES, A. S.pt_BR
dc.contributor.authorLANNA, D. P. D.pt_BR
dc.contributor.authorZERLOTINI NETO, A.pt_BR
dc.contributor.authorMUDADU, M. A.pt_BR
dc.contributor.authorTAYLOR, J. F.pt_BR
dc.contributor.authorREGITANO, L. C. A.pt_BR
dc.date.accessioned2016-01-21T11:11:11Zpt_BR
dc.date.available2016-01-21T11:11:11Zpt_BR
dc.date.created2016-01-21pt_BR
dc.date.issued2015pt_BR
dc.identifier.citationBMC Genomics, London, v. 16, p. 1-14, 2015.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1034697pt_BR
dc.descriptionBackground: 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.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectTranscriptomapt_BR
dc.subjectSequenciamento genéticopt_BR
dc.subjectBioinformáticapt_BR
dc.subjectRFIpt_BR
dc.subjectFeed efficiencypt_BR
dc.titleGlobal liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2016-06-22T11:11:11Zpt_BR
dc.subject.thesagroBos Indicuspt_BR
dc.subject.nalthesaurusZebupt_BR
dc.subject.nalthesaurusFeed conversionpt_BR
dc.subject.nalthesaurusTranscriptomicspt_BR
dc.subject.nalthesaurusBioinformaticspt_BR
riaa.ainfo.id1034697pt_BR
riaa.ainfo.lastupdate2016-06-22pt_BR
dc.identifier.doiDOI 10.1186/s12864-015-1464-xpt_BR
dc.contributor.institutionPOLYANA 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.pt_BR
Aparece nas coleções:Artigo em periódico indexado (CNPTIA)

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
GloballiverTizioto.pdf1,4 MBAdobe PDFThumbnail
Visualizar/Abrir
Mostrar registro simples do item Visualizar estatísticas

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace