Structural Characterization of Open Reading Frame-Encoded Functional Genes from Tilapia Lake Virus (TiLV)

Mol Biotechnol. 2019 Dec;61(12):945-957. doi: 10.1007/s12033-019-00217-y.

Abstract

In recent years, large-scale mortalities are observed in tilapia due to infection with a novel orthomyxo-like virus named, tilapia lake virus (TiLV) which is marked to be a severe threat to universal tilapia industry. Currently, there are knowledge gaps relating to the antiviral peptide as well as there are no affordable vaccines or drugs available against TiLV yet. To understand the spreading of infection of TiLV in different organs of Oreochromis niloticus, RT-PCR analysis has been carried out. The gene segments of TiLV were retrieved from the NCBI database for computational biology analysis. The 14 functional genes were predicted from the 10 gene segments of TiLV. Phylogenetic analysis was employed to find out a better understanding for the evolution of tilapia lake virus genes. Out of 14 proteins, only six proteins show transmembrane helix region. Moreover, molecular modeling and molecular dynamics simulations of the predicted proteins revealed structural stability of the protein stabilized after 10-ns simulation. Overall, our study provided a basic bioinformatics on functional proteome of TiLV. Further, this study could be useful for development of novel peptide-based therapeutics to control TiLV infection.

Keywords: Molecular dynamics simulation; ORF finder; Phylogenetic analysis; TiLV; Tissue tropism.

MeSH terms

  • Animals
  • Computational Biology
  • Fish Diseases / virology*
  • Genes, Viral
  • Lakes
  • Molecular Dynamics Simulation
  • Open Reading Frames
  • Orthomyxoviridae Infections / genetics
  • Phylogeny
  • RNA Viruses / chemistry
  • RNA Viruses / genetics*
  • RNA Viruses / metabolism
  • Tilapia / virology*
  • Viral Proteins / chemistry*
  • Viral Proteins / genetics
  • Viral Proteins / metabolism

Substances

  • Viral Proteins