Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.

Detalhes bibliográficos
Autor(a) principal: TIZIOTO, P.
Data de Publicação: 2015
Outros Autores: 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.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1034697
Resumo: 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.
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spelling Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.TranscriptomaSequenciamento genéticoBioinformáticaRFIFeed efficiencyBos IndicusZebuFeed conversionTranscriptomicsBioinformaticsBackground: 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.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.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.2016-01-21T11:11:11Z2016-01-21T11:11:11Z2016-01-2120152016-06-22T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBMC Genomics, London, v. 16, p. 1-14, 2015.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1034697DOI 10.1186/s12864-015-1464-xenginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T03:39:27Zoai:www.alice.cnptia.embrapa.br:doc/1034697Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T03:39:27falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T03:39:27Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.
title Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.
spellingShingle Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.
TIZIOTO, P.
Transcriptoma
Sequenciamento genético
Bioinformática
RFI
Feed efficiency
Bos Indicus
Zebu
Feed conversion
Transcriptomics
Bioinformatics
title_short Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.
title_full Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.
title_fullStr Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.
title_full_unstemmed Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.
title_sort Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.
author TIZIOTO, P.
author_facet 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.
author_role author
author2 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.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv 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.
dc.contributor.author.fl_str_mv 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.
dc.subject.por.fl_str_mv Transcriptoma
Sequenciamento genético
Bioinformática
RFI
Feed efficiency
Bos Indicus
Zebu
Feed conversion
Transcriptomics
Bioinformatics
topic Transcriptoma
Sequenciamento genético
Bioinformática
RFI
Feed efficiency
Bos Indicus
Zebu
Feed conversion
Transcriptomics
Bioinformatics
description 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.
publishDate 2015
dc.date.none.fl_str_mv 2015
2016-01-21T11:11:11Z
2016-01-21T11:11:11Z
2016-01-21
2016-06-22T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv BMC Genomics, London, v. 16, p. 1-14, 2015.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1034697
DOI 10.1186/s12864-015-1464-x
identifier_str_mv BMC Genomics, London, v. 16, p. 1-14, 2015.
DOI 10.1186/s12864-015-1464-x
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1034697
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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