Gene expression profiles alteration after infection of virus, bacteria, and parasite in the Olive flounder (Paralichthys olivaceus)

Sci Rep. 2018 Dec 24;8(1):18065. doi: 10.1038/s41598-018-36342-y.

Abstract

Olive flounder (Paralichthys olivaceus) is one of economically valuable fish species in the East Asia. In comparison with its economic importance, available genomic information of the olive flounder is very limited. The mass mortality caused by variety of pathogens (virus, bacteria and parasites) is main problem in aquaculture industry, including in olive flounder culture. In this study, we carried out transcriptome analysis using the olive flounder gill tissues after infection of three types of pathogens (Virus; Viral hemorrhagic septicemia virus, Bacteria; Streptococcus parauberis, and Parasite; Miamiensis avidus), respectively. As a result, we identified total 12,415 differentially expressed genes (DEG) from viral infection, 1,754 from bacterial infection, and 795 from parasite infection, respectively. To investigate the effects of pathogenic infection on immune response, we analyzed Gene ontology (GO) enrichment analysis with DEGs and sorted immune-related GO terms per three pathogen groups. Especially, we verified various GO terms, and genes in these terms showed down-regulated expression pattern. In addition, we identified 67 common genes (10 up-regulated and 57 down-regulated) present in three pathogen infection groups. Our goals are to provide plenty of genomic knowledge about olive flounder transcripts for further research and report genes, which were changed in their expression after specific pathogen infection.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Flounder / genetics*
  • Flounder / microbiology
  • Flounder / parasitology
  • Flounder / virology
  • Gene Expression Profiling
  • Hemorrhagic Septicemia, Viral / genetics*
  • Hemorrhagic Septicemia, Viral / metabolism
  • Parasitic Diseases / genetics*
  • Parasitic Diseases / metabolism
  • Streptococcal Infections / genetics*
  • Streptococcal Infections / metabolism
  • Transcriptome*