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Data-processing pipeline and database design for integrated analysis of mycoviruses

  • Je, Mikyung (NU Bioinformatics Institute, Interdisciplinary Graduate Program in Bioinformatics, College of Natural Science, Seoul National University) ;
  • Son, Hyeon Seok (Laboratory of Computational Biology & Bioinformatics, Institute of Public Health and Environment, Graduate School of Public Health, Seoul National University) ;
  • Kim, Hayeon (Department of Biomedical Laboratory Science, Kyungdong University)
  • Received : 2019.07.25
  • Accepted : 2019.08.07
  • Published : 2019.09.30

Abstract

Recent and ongoing discoveries of mycoviruses with new properties demand the development of an appropriate research infrastructure to analyze their evolution and classification. In particular, the discovery of negative-sense single-stranded mycoviruses is worth noting in genome types in which double-stranded RNA virus and positive-sense single-stranded RNA virus were predominant. In addition, some genomic properties of mycoviruses are more interesting because they have been reported to have similarities with the pathogenic virus family that infects humans and animals. Genetic information on mycoviruses continues to accumulate in public repositories; however, these databases have some difficulty reflecting the latest taxonomic information and obtaining specialized data for mycoviruses. Therefore, in this study, we developed a bioinformatics-based pipeline to efficiently utilize this genetic information. We also designed a schema for data processing and database construction and an algorithm to keep taxonomic information of mycoviruses up to date. The pipeline and database (termed 'mycoVDB') presented in this study are expected to serve as useful foundations for improving the accuracy and efficiency of future research on mycoviruses.

Keywords

Mycovirus;Database;Bioinformatics;Taxonomic classification

Acknowledgement

Supported by : National Research Foundation of Korea (NRF)

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