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The genomic underpinnings of eukaryotic virus taxonomy: creating a sequence-based framework for family-level virus classification

BACKGROUND: The 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 pheno...

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Autores principales: Aiewsakun, Pakorn, Simmonds, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819261/
https://www.ncbi.nlm.nih.gov/pubmed/29458427
http://dx.doi.org/10.1186/s40168-018-0422-7
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author Aiewsakun, Pakorn
Simmonds, Peter
author_facet Aiewsakun, Pakorn
Simmonds, Peter
author_sort Aiewsakun, Pakorn
collection PubMed
description BACKGROUND: The 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. RESULTS: The 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. CONCLUSIONS: A 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0422-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-58192612018-02-21 The genomic underpinnings of eukaryotic virus taxonomy: creating a sequence-based framework for family-level virus classification Aiewsakun, Pakorn Simmonds, Peter Microbiome Research BACKGROUND: The 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. RESULTS: The 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. CONCLUSIONS: A 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0422-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-20 /pmc/articles/PMC5819261/ /pubmed/29458427 http://dx.doi.org/10.1186/s40168-018-0422-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Aiewsakun, Pakorn
Simmonds, Peter
The genomic underpinnings of eukaryotic virus taxonomy: creating a sequence-based framework for family-level virus classification
title The genomic underpinnings of eukaryotic virus taxonomy: creating a sequence-based framework for family-level virus classification
title_full The genomic underpinnings of eukaryotic virus taxonomy: creating a sequence-based framework for family-level virus classification
title_fullStr The genomic underpinnings of eukaryotic virus taxonomy: creating a sequence-based framework for family-level virus classification
title_full_unstemmed The genomic underpinnings of eukaryotic virus taxonomy: creating a sequence-based framework for family-level virus classification
title_short The genomic underpinnings of eukaryotic virus taxonomy: creating a sequence-based framework for family-level virus classification
title_sort genomic underpinnings of eukaryotic virus taxonomy: creating a sequence-based framework for family-level virus classification
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819261/
https://www.ncbi.nlm.nih.gov/pubmed/29458427
http://dx.doi.org/10.1186/s40168-018-0422-7
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