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

Content Provider	Springer Nature : BioMed Central
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
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.
Related Links	https://bmcgenomics.biomedcentral.com/counter/pdf/10.1186/s12864-015-2292-8.pdf
Ending Page	13
Page Count	13
Starting Page	1
File Format	HTM / HTML
ISSN	14712164
DOI	10.1186/s12864-015-2292-8
Journal	BMC Genomics
Issue Number	1
Volume Number	16
Language	English
Publisher	BioMed Central
Publisher Date	2015-12-18
Access Restriction	Open
Subject Keyword	Life Sciences Microarrays Proteomics Animal Genetics and Genomics Microbial Genetics and Genomics Plant Genetics and Genomics RNA-Seq co-expression network residual feed intake residual intake and body weight gain inflammation lipid metabolism
Content Type	Text
Resource Type	Article
Subject	Biotechnology Genetics
Journal Impact Factor	3.5/2023
5-Year Journal Impact Factor	4.1/2023

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Erratum to: Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle

RNA-Seq transcriptomics and pathway analyses reveal potential regulatory genes and molecular mechanisms in high- and low-residual feed intake in Nordic dairy cattle

Transcriptome profiling of the rumen epithelium of beef cattle differing in residual feed intake

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