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Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle

BACKGROUND: The selection of beef cattle for feed efficiency (FE) traits is very important not only for productive and economic efficiency but also for reduced environmental impact of livestock. Considering that FE is multifactorial and expensive to measure, the aim of this study was to identify bio...

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Autores principales: Alexandre, Pamela A., Kogelman, Lisette J. A., Santana, Miguel H. A., Passarelli, Danielle, Pulz, Lidia H., Fantinato-Neto, Paulo, Silva, Paulo L., Leme, Paulo R., Strefezzi, Ricardo F., Coutinho, Luiz L., Ferraz, José B. S., Eler, Joanie P., Kadarmideen, Haja N., Fukumasu, Heidge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4683712/
https://www.ncbi.nlm.nih.gov/pubmed/26678995
http://dx.doi.org/10.1186/s12864-015-2292-8
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author Alexandre, Pamela A.
Kogelman, Lisette J. A.
Santana, Miguel H. A.
Passarelli, Danielle
Pulz, Lidia H.
Fantinato-Neto, Paulo
Silva, Paulo L.
Leme, Paulo R.
Strefezzi, Ricardo F.
Coutinho, Luiz L.
Ferraz, José B. S.
Eler, Joanie P.
Kadarmideen, Haja N.
Fukumasu, Heidge
author_facet Alexandre, Pamela A.
Kogelman, Lisette J. A.
Santana, Miguel H. A.
Passarelli, Danielle
Pulz, Lidia H.
Fantinato-Neto, Paulo
Silva, Paulo L.
Leme, Paulo R.
Strefezzi, Ricardo F.
Coutinho, Luiz L.
Ferraz, José B. S.
Eler, Joanie P.
Kadarmideen, Haja N.
Fukumasu, Heidge
author_sort Alexandre, Pamela A.
collection PubMed
description BACKGROUND: The selection of beef cattle for feed efficiency (FE) traits is very important not only for productive and economic efficiency but also for reduced environmental impact of livestock. Considering that FE is multifactorial and expensive to measure, the aim of this study was to identify biological functions and regulatory genes associated with this phenotype. RESULTS: Eight genes were differentially expressed between high and low feed efficient animals (HFE and LFE, respectively). Co-expression analyses identified 34 gene modules of which 4 were strongly associated with FE traits. They were mainly enriched for inflammatory response or inflammation-related terms. We also identified 463 differentially co-expressed genes which were functionally enriched for immune response and lipid metabolism. A total of 8 key regulators of gene expression profiles affecting FE were found. The LFE animals had higher feed intake and increased subcutaneous and visceral fat deposition. In addition, LFE animals showed higher levels of serum cholesterol and liver injury biomarker GGT. Histopathology of the liver showed higher percentage of periportal inflammation with mononuclear infiltrate. CONCLUSION: Liver transcriptomic network analysis coupled with other results demonstrated that LFE animals present altered lipid metabolism and increased hepatic periportal lesions associated with an inflammatory response composed mainly by mononuclear cells. We are now focusing to identify the causes of increased liver lesions in LFE animals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2292-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-46837122015-12-19 Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle Alexandre, Pamela A. Kogelman, Lisette J. A. Santana, Miguel H. A. Passarelli, Danielle Pulz, Lidia H. Fantinato-Neto, Paulo Silva, Paulo L. Leme, Paulo R. Strefezzi, Ricardo F. Coutinho, Luiz L. Ferraz, José B. S. Eler, Joanie P. Kadarmideen, Haja N. Fukumasu, Heidge BMC Genomics Research Article BACKGROUND: The selection of beef cattle for feed efficiency (FE) traits is very important not only for productive and economic efficiency but also for reduced environmental impact of livestock. Considering that FE is multifactorial and expensive to measure, the aim of this study was to identify biological functions and regulatory genes associated with this phenotype. RESULTS: Eight genes were differentially expressed between high and low feed efficient animals (HFE and LFE, respectively). Co-expression analyses identified 34 gene modules of which 4 were strongly associated with FE traits. They were mainly enriched for inflammatory response or inflammation-related terms. We also identified 463 differentially co-expressed genes which were functionally enriched for immune response and lipid metabolism. A total of 8 key regulators of gene expression profiles affecting FE were found. The LFE animals had higher feed intake and increased subcutaneous and visceral fat deposition. In addition, LFE animals showed higher levels of serum cholesterol and liver injury biomarker GGT. Histopathology of the liver showed higher percentage of periportal inflammation with mononuclear infiltrate. CONCLUSION: Liver transcriptomic network analysis coupled with other results demonstrated that LFE animals present altered lipid metabolism and increased hepatic periportal lesions associated with an inflammatory response composed mainly by mononuclear cells. We are now focusing to identify the causes of increased liver lesions in LFE animals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-2292-8) contains supplementary material, which is available to authorized users. BioMed Central 2015-12-18 /pmc/articles/PMC4683712/ /pubmed/26678995 http://dx.doi.org/10.1186/s12864-015-2292-8 Text en © Alexandre et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Alexandre, Pamela A.
Kogelman, Lisette J. A.
Santana, Miguel H. A.
Passarelli, Danielle
Pulz, Lidia H.
Fantinato-Neto, Paulo
Silva, Paulo L.
Leme, Paulo R.
Strefezzi, Ricardo F.
Coutinho, Luiz L.
Ferraz, José B. S.
Eler, Joanie P.
Kadarmideen, Haja N.
Fukumasu, Heidge
Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle
title Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle
title_full Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle
title_fullStr Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle
title_full_unstemmed Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle
title_short Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle
title_sort liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4683712/
https://www.ncbi.nlm.nih.gov/pubmed/26678995
http://dx.doi.org/10.1186/s12864-015-2292-8
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