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Cited by 332

The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.

New dimensions of the virus world discovered through metagenomics

Open access
Kristensen, David M., Mushegian, Arcady R., Dolja, Valerian V., Koonin, Eugene V.·2010·Trends in Microbiology

Abstract

Metagenomic analysis of viruses suggests novel patterns of evolution, changes the existing ideas of the composition of the virus world and reveals novel groups of viruses and virus-like agents. The gene composition of the marine DNA virome is dramatically different from that of known bacteriophages. The virome is dominated by rare genes, many of which might be contained within virus-like entities such as gene transfer agents. Analysis of marine metagenomes thought to consist mostly of bacterial genes revealed a variety of sequences homologous to conserved genes of eukaryotic nucleocytoplasmic large DNA viruses, resulting in the discovery of diverse members of previously undersampled groups and suggesting the existence of new classes of virus-like agents. Unexpectedly, metagenomics of marine RNA viruses showed that representatives of only one superfamily of eukaryotic viruses, the picorna-like viruses, dominate the RNA virome.

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Crossref · 10.1016/j.tim.2009.11.003

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Metadata

Authors
Kristensen, D. M., Mushegian, A. R., Dolja, V. V., & Koonin, E. V.
Venue
Trends in Microbiology
Publisher
Elsevier BV
Published
2010-01
Volume
18
Issue
1
Pages
11-19
ISSN
0966-842X (ISSN-L)
OpenAlex
W2052201484
Cited by
332
References
57
FWCI
5.09
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: New dimensions of the virus world discovered through metagenomics. https://app.cochat.ai/papers/10.1016/j.tim.2009.11.003
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Kristensen, D. M., Mushegian, A. R., Dolja, V. V., & Koonin, E. V. (2010). New dimensions of the virus world discovered through metagenomics. Trends in Microbiology. https://doi.org/10.1016/j.tim.2009.11.003

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.