ArticleMicrobiome2018
The genomic underpinnings of eukaryotic virus taxonomy: creating a sequence-based framework for family-level virus classification.
Article in Microbiome, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
- RdRpCATCH: a unified resource for RNA virus discovery using viral RNA-dependent RNA polymerase profile Hidden Markov models.NAR genomics and bioinformatics · 2026Article
- Tailoring virus-inspired nanoparticles for advanced drug and gene delivery.Materials today. Bio · 2026Review
- vClassifier: a toolkit for high-resolution phylogenetic classification of prokaryotic viruses.Bioinformatics advances · 2026Article
- Machine learning enables scalable and systematic hierarchical virus taxonomy.Nature biotechnology · 2025Article
- Taxonomic expansion and reorganization of Flaviviridae.Nature microbiology · 2025Article
- Phage quest: a beginner's guide to explore viral diversity in the prokaryotic world.Briefings in bioinformatics · 2025Review
- VISTA: A Tool for Fast Taxonomic Assignment of Viral Genome Sequences.Genomics, proteomics & bioinformatics · 2025Article
- Integrating Sequence- and Structure-Based Similarity Metrics for the Demarcation of Multiple Viral Taxonomic Levels.Viruses · 2025Article
- Integrated analysis of protein sequence and structure redefines viral diversity and the taxonomy of thebioRxiv : the preprint server for biology · 2025Article
- Molecular Analysis and Bioinformatics Assessment of Full-Length L1 Gene of Bovine Papillomavirus Type-1 as a Potential DNA Vaccine Study.Veterinary medicine international · 2025Article
- GRAViTy-V2: a grounded viral taxonomy application.NAR genomics and bioinformatics · 2024Article
- How to introduce a new bacteriophage on the block: a short guide to phage classification.Journal of virology · 2024Review
- The virtue of training: extending phage host spectra against vancomycin-resistantAntimicrobial agents and chemotherapy · 2024Article
- Genetic diversity of RNA viruses infecting invertebrate pests of rice.Science China. Life sciences · 2024Article
- MArVD2: a machine learning enhanced tool to discriminate between archaeal and bacterial viruses in viral datasets.ISME communications · 2023Article
- Article
- Developments in the classification and nomenclature of arthropod-infecting large DNA viruses that contain pif genes.Archives of virology · 2023Article
- Virus taxonomy and the role of the International Committee on Taxonomy of Viruses (ICTV).The Journal of general virology · 2023Article
- VirClust-A Tool for Hierarchical Clustering, Core Protein Detection and Annotation of (Viruses · 2023Article
- Identification of RNA Virus-Derived RdRp Sequences in Publicly Available Transcriptomic Data Sets.Molecular biology and evolution · 2023Article
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2 authors.
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Abstract
backgroundThe International Committee on Taxonomy of Viruses (ICTV) classifies viruses into families, genera and species and provides a regulated system for their nomenclature that is universally used in virus descriptions. Virus taxonomic assignments have traditionally been based upon virus phenotypic properties such as host range, virion morphology and replication mechanisms, particularly at family level. However, gene sequence comparisons provide a clearer guide to their evolutionary relationships and provide the only information that may guide the incorporation of viruses detected in environmental (metagenomic) studies that lack any phenotypic data.
resultsThe current study sought to determine whether the existing virus taxonomy could be reproduced by examination of genetic relationships through the extraction of protein-coding gene signatures and genome organisational features. We found large-scale consistency between genetic relationships and taxonomic assignments for viruses of all genome configurations and genome sizes. The analysis pipeline that we have called 'Genome Relationships Applied to Virus Taxonomy' (GRAViTy) was highly effective at reproducing the current assignments of viruses at family level as well as inter-family groupings into orders. Its ability to correctly differentiate assigned viruses from unassigned viruses, and classify them into the correct taxonomic group, was evaluated by threefold cross-validation technique. This predicted family membership of eukaryotic viruses with close to 100% accuracy and specificity potentially enabling the algorithm to predict assignments for the vast corpus of metagenomic sequences consistently with ICTV taxonomy rules. In an evaluation run of GRAViTy, over one half (460/921) of (near)-complete genome sequences from several large published metagenomic eukaryotic virus datasets were assigned to 127 novel family-level groupings. If corroborated by other analysis methods, these would potentially more than double the number of eukaryotic virus families in the ICTV taxonomy.
conclusionsA rapid and objective means to explore metagenomic viral diversity and make informed recommendations for their assignments at each taxonomic layer is essential. GRAViTy provides one means to make rule-based assignments at family and order levels in a manner that preserves the integrity and underlying organisational principles of the current ICTV taxonomy framework. Such methods are increasingly required as the vast virosphere is explored.
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