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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.
Affiliation
  • Alexandre PA; Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, São Paulo, 13635-900, Brazil. pamela.alexandre@usp.br.
  • Kogelman LJ; Department of Veterinary Clinical and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. pamela.alexandre@usp.br.
  • Santana MH; Department of Veterinary Clinical and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. lkog@sund.ku.dk.
  • Passarelli D; Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, São Paulo, 13635-900, Brazil. miguel-has@hotmail.com.
  • Pulz LH; Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, São Paulo, 13635-900, Brazil. passarelli.dani@gmail.com.
  • Fantinato-Neto P; Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, São Paulo, 13635-900, Brazil. hplidia@gmail.com.
  • Silva PL; Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, São Paulo, 13635-900, Brazil. fantinatont@gmail.com.
  • Leme PR; Department of Animal Sciences, School of Animal Science and Food Engineering, University of São Paulo, Pirassunung, Sao Paulo, Brazil. sauloluz@usp.br.
  • Strefezzi RF; Department of Animal Sciences, School of Animal Science and Food Engineering, University of São Paulo, Pirassunung, Sao Paulo, Brazil. prleme@usp.br.
  • Coutinho LL; Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, São Paulo, 13635-900, Brazil. rstrefezzi@usp.br.
  • Ferraz JB; Department of Animal Sciences, ESALQ, University of Sao Paulo, Piracicaba, Sao Paulo, Brazil. llcoutinho@usp.br.
  • Eler JP; Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, São Paulo, 13635-900, Brazil. jbferraz@usp.br.
  • Kadarmideen HN; Department of Veterinary Medicine, School of Animal Science and Food Engineering, University of Sao Paulo, Av. Duque de Caxias Norte, 225, Pirassununga, São Paulo, 13635-900, Brazil. joapeler@usp.br.
  • Fukumasu H; Department of Veterinary Clinical and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. hajak@sund.ku.dk.
BMC Genomics ; 16: 1073, 2015 Dec 18.
Article in En | MEDLINE | ID: mdl-26678995
ABSTRACT

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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quantitative Trait, Heritable / Gene Expression Profiling / Gene Regulatory Networks / Genetic Association Studies / Transcriptome / Liver Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2015 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quantitative Trait, Heritable / Gene Expression Profiling / Gene Regulatory Networks / Genetic Association Studies / Transcriptome / Liver Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2015 Document type: Article Affiliation country:
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