ArticleFrontiers in microbiology2022
A discussion of RNA virus taxonomy based on the 2020 International Committee on Taxonomy of Viruses report.
Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Integrative genomic analyses support the division of the extendedJournal of virology · 2025Review
- Elucidating the Microsatellite Signature of the Tri-Partite Genomes of the Viral Family Peribunyaviridae.Current microbiology · 2025Article
- VirTAXA: enhancing RNA virus taxonomic classification with remote homology search and tree-based validation.Bioinformatics (Oxford, England) · 2024Article
- Article
- Identification and classification of the genomes of novel microviruses in poultry slaughterhouse.Frontiers in microbiology · 2024Article
- Radiological Patterns of Lung Injury on HRCT in COVID-19 Patients: An Experience From Tertiary Care Centre in India.Cureus · 2023Article
- VirBot: an RNA viral contig detector for metagenomic data.Bioinformatics (Oxford, England) · 2023Article
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Authors and funding
6 authors.
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Abstract
RNA viruses have a higher mutation rate than DNA viruses; however, RNA viruses are insufficiently studied outside disease settings. The International Committee on Taxonomy of Viruses (ICTV) is an organization set up by virologists to standardize virus classification. To better understand ICTV taxonomy and the characteristics and rules of different RNA virus families, we analyzed the 3,529 RNA viruses included in the 2020 ICTV report using five widely used metrics: length, host, GC content, number of predicted ORFs, and sequence similarity. The results show that host type has a significant influence on viral genome length and GC content. The genome lengths of virus members within the same genus are quite similar: 98.28% of the genome length differences within any particular genus are less than 20%. The species within those genera containing segmented viruses also have a similar length and number of segments. The number of predicted ORFs in the RNA viral genomes also shows a strong, statistically significant correlation with genome length. We suggest that due to the high mutation rate of RNA virus genomes, current RNA virus classification should mainly rely on protein similarities rather than nucleic acid similarities.
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