Asian-Australasian Journal of Animal Sciences

Asian Australasian Association of Animal Production Societies (아세아태평양축산학회)
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Integrated mRNA and miRNA profile expression in livers of Jinhua and Landrace pigs

  • Huang, Minjie (Department of Animal Genetics and Breeding, College of Animal Science, Zhejiang University) ;
  • Chen, Lixing (Department of Animal Genetics and Breeding, College of Animal Science, Zhejiang University) ;
  • Shen, Yifei (Department of Animal Genetics and Breeding, College of Animal Science, Zhejiang University) ;
  • Chen, Jiucheng (Department of Animal Genetics and Breeding, College of Animal Science, Zhejiang University) ;
  • Guo, Xiaoling (Department of Animal Genetics and Breeding, College of Animal Science, Zhejiang University) ;
  • Xu, Ningying (Department of Animal Genetics and Breeding, College of Animal Science, Zhejiang University)
  • Received : 2018.10.26
  • Accepted : 2019.02.26
  • Published : 2019.10.01
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Abstract

Objective: To explore the molecular mechanisms of fat metabolism and deposition in pigs, an experiment was conducted to identify hepatic mRNAs and miRNAs expression and determine the potential interaction of them in two phenotypically extreme pig breeds. Methods: mRNA and miRNA profiling of liver from 70-day Jinhua (JH) and Landrace (LD) pigs were performed using RNA sequencing. Blood samples were taken to detect results of serum biochemistry. Bioinformatics analysis were applied to construct differentially expressed miRNA-mRNA network. Results: Serum total triiodothyronine and total thyroxine were significantly lower in Jinhua pigs, but the content of serum total cholesterol (TCH) and low-density lipoprotein cholesterol were strikingly higher. A total of 467 differentially expressed genes (DEGs) and 35 differentially expressed miRNAs (DE miRNAs) were identified between JH and LD groups. Gene ontology analysis suggested that DEGs were involved in oxidation-reduction, lipid biosynthetic and lipid metabolism process. Interaction network of DEGs and DE miRNAs were constructed, according to target prediction results. Conclusion: We generated transcriptome and miRNAome profiles of liver from JH and LD pig breeds which represent distinguishing phenotypes of growth and metabolism. The potential miRNA-mRNA interaction networks may provide a comprehensive understanding in the mechanism of lipid metabolism. These results serve as a basis for further investigation on biological functions of miRNAs in the porcine liver.

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References

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