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Nature
Article . 2016 . Peer-reviewed
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Article . 2016
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Uncovering Earth’s virome

Authors: Alex D. Thomas; Natalia Ivanova; Natalia Mikhailova; Georgios A. Pavlopoulos; Emiley A. Eloe-Fadrosh; Nikos C. Kyrpides; David Paez-Espino; +3 Authors
Abstract

Viruses are the most abundant biological entities on Earth, but challenges in detecting, isolating, and classifying unknown viruses have prevented exhaustive surveys of the global virome. Here we analysed over 5 Tb of metagenomic sequence data from 3,042 geographically diverse samples to assess the global distribution, phylogenetic diversity, and host specificity of viruses. We discovered over 125,000 partial DNA viral genomes, including the largest phage yet identified, and increased the number of known viral genes by 16-fold. Half of the predicted partial viral genomes were clustered into genetically distinct groups, most of which included genes unrelated to those in known viruses. Using CRISPR spacers and transfer RNA matches to link viral groups to microbial host(s), we doubled the number of microbial phyla known to be infected by viruses, and identified viruses that can infect organisms from different phyla. Analysis of viral distribution across diverse ecosystems revealed strong habitat-type specificity for the vast majority of viruses, but also identified some cosmopolitan groups. Our results highlight an extensive global viral diversity and provide detailed insight into viral habitat distribution and host–virus interactions.

Keywords

570, Aquatic Organisms, Genes, Viral, General Science & Technology, Earth, Planet, Datasets as Topic, Genome, Viral, Microbiology, Host Specificity, RNA, Transfer, Biodefense, 2.2 Factors relating to the physical environment, Animals, Humans, Bacteriophages, Clustered Regularly Interspaced Short Palindromic Repeats, Viral, Ecosystem, Phylogeny, Genome, Earth, DNA, Biodiversity, Biological Sciences, Transfer, Phylogeography, Emerging Infectious Diseases, Infectious Diseases, Genes, Viruses, DNA, Viral, Host-Pathogen Interactions, RNA, Metagenome, Microbiome, Metagenomics, Planet, Infection, Sequence Analysis

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    926
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
926
Top 0.1%
Top 1%
Top 0.1%
Green
bronze