Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://www.biomedcentral.com/1471-2164/16/242 http://hdl.handle.net/11449/129210 |
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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Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypesBos indicusRFIFeed efficiencyTranscriptomicsBackground: 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.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Agriculture and Food Research InitiativeUniversity of Missouri Columbia, Division of Animal SciencesUniversidade de São Paulo, Departamento de Zootecnia, Escola Superior de Agricultura Luiz de QueirozUniversidade Federal de São Carlos, Departamento de Genética e EvoluçãoUniversidade Estadual Paulista, Departamento de Zootecnia, Faculdade de Ciências Agrárias e Veterinárias de JaboticabalCNPq: 473091/2012-7FAPESP: 2013/17778-4FAPESP: 2014/13555-3Agriculture and Food Research Initiative: 2011-68004-30214Agriculture and Food Research Initiative: 2011-68004-30367Agriculture and Food Research Initiative: 2013-68004-20364Biomed Central LtdEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)University of Missouri ColumbiaUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Universidade Federal de São Carlos (UFSCar)Tizioto, Polyana CristineCoutinho, Luiz LehmannDecker, Jared E.Schnabel, Robert D.Rosa, Kamila de Oliveira [UNESP]Oliveira, Priscila Silva NeubernSouza, Marcela Maria deMourão, Gerson BarretoTullio, Rymer RamizChaves, Amalia SaturninoLanna, Dante Pazzanese DuarteZerlotini-Neto, AdhemarMudadu, Mauricio de AlvarengaTaylor, Jeremy F.Regitano, Luciana Correia de Almeida2015-10-21T20:36:18Z2015-10-21T20:36:18Z2015-03-25info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1-14application/pdfhttp://www.biomedcentral.com/1471-2164/16/242Bmc Genomics. London: Biomed Central Ltd, v. 16, p. 1-14, 2015.1471-2164http://hdl.handle.net/11449/12921010.1186/s12864-015-1464-xWOS:000351994200001WOS000351994200001.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBmc Genomics3.7302,110info:eu-repo/semantics/openAccess2024-06-07T18:41:30Zoai:repositorio.unesp.br:11449/129210Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:50:08.823671Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)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, Polyana Cristine Bos indicus RFI Feed efficiency Transcriptomics |
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, Polyana Cristine |
author_facet |
Tizioto, Polyana Cristine Coutinho, Luiz Lehmann Decker, Jared E. Schnabel, Robert D. Rosa, Kamila de Oliveira [UNESP] Oliveira, Priscila Silva Neubern Souza, Marcela Maria de Mourão, Gerson Barreto Tullio, Rymer Ramiz Chaves, Amalia Saturnino Lanna, Dante Pazzanese Duarte Zerlotini-Neto, Adhemar Mudadu, Mauricio de Alvarenga Taylor, Jeremy F. Regitano, Luciana Correia de Almeida |
author_role |
author |
author2 |
Coutinho, Luiz Lehmann Decker, Jared E. Schnabel, Robert D. Rosa, Kamila de Oliveira [UNESP] Oliveira, Priscila Silva Neubern Souza, Marcela Maria de Mourão, Gerson Barreto Tullio, Rymer Ramiz Chaves, Amalia Saturnino Lanna, Dante Pazzanese Duarte Zerlotini-Neto, Adhemar Mudadu, Mauricio de Alvarenga Taylor, Jeremy F. Regitano, Luciana Correia de Almeida |
author2_role |
author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) University of Missouri Columbia Universidade de São Paulo (USP) Universidade Estadual Paulista (Unesp) Universidade Federal de São Carlos (UFSCar) |
dc.contributor.author.fl_str_mv |
Tizioto, Polyana Cristine Coutinho, Luiz Lehmann Decker, Jared E. Schnabel, Robert D. Rosa, Kamila de Oliveira [UNESP] Oliveira, Priscila Silva Neubern Souza, Marcela Maria de Mourão, Gerson Barreto Tullio, Rymer Ramiz Chaves, Amalia Saturnino Lanna, Dante Pazzanese Duarte Zerlotini-Neto, Adhemar Mudadu, Mauricio de Alvarenga Taylor, Jeremy F. Regitano, Luciana Correia de Almeida |
dc.subject.por.fl_str_mv |
Bos indicus RFI Feed efficiency Transcriptomics |
topic |
Bos indicus RFI Feed efficiency Transcriptomics |
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 |
2015-10-21T20:36:18Z 2015-10-21T20:36:18Z 2015-03-25 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.biomedcentral.com/1471-2164/16/242 Bmc Genomics. London: Biomed Central Ltd, v. 16, p. 1-14, 2015. 1471-2164 http://hdl.handle.net/11449/129210 10.1186/s12864-015-1464-x WOS:000351994200001 WOS000351994200001.pdf |
url |
http://www.biomedcentral.com/1471-2164/16/242 http://hdl.handle.net/11449/129210 |
identifier_str_mv |
Bmc Genomics. London: Biomed Central Ltd, v. 16, p. 1-14, 2015. 1471-2164 10.1186/s12864-015-1464-x WOS:000351994200001 WOS000351994200001.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Bmc Genomics 3.730 2,110 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1-14 application/pdf |
dc.publisher.none.fl_str_mv |
Biomed Central Ltd |
publisher.none.fl_str_mv |
Biomed Central Ltd |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128864803618817 |