Evidence map›Paper›PMID 27486193›Full record

ArticlemBio2016

The Double-Stranded DNA Virosphere as a Modular Hierarchical Network of Gene Sharing.

Jaime Iranzo, Mart Krupovic, Eugene V Koonin

Open access · goldAbstract read
In one paragraph

Article in mBio, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed
26.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

107 citing papers in PubMed, 194 citations in OpenAlex.

  1. A generative model for bipartite gene-sharing networks.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  8. CRISPRi-mediated repression of threeJournal of bacteriology · 2025
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  11. The polinton-like supergroup of viruses: evolution, molecular biology, and taxonomy.Microbiology and molecular biology reviews : MMBR · 2024
    Review
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  13. Characterization and genomic analysis of a lyticFrontiers in microbiology · 2024
    Article
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  19. Article
  20. Bacteriophages of the OrderBiomolecules · 2023
    Review

47 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Jaime IranzoNational Center for Biotechnology Information, National Library of Medicine, Bethesda, Maryland, USA.
Mart KrupovicInstitut Pasteur, Unité Biologie Moléculaire du Gène chez les Extrêmophiles, Paris, France.ORCID 0000-0001-5486-0098
Eugene V KooninNational Center for Biotechnology Information, National Library of Medicine, Bethesda, Maryland, USA koonin@ncbi.nlm.nih.gov.ORCID 0000-0003-3943-8299
National Center for Biotechnology Information · USInstitut Pasteur · FR

Funding

Comparative Analysis Of Completely Sequenced GenomesZIALM000073 · NLM · NATIONAL LIBRARY OF MEDICINE · PI KOONIN, EUGENE V · 2009 to 2025
$43.1M
6 · The paper itself

Abstract

unlabelledVirus genomes are prone to extensive gene loss, gain, and exchange and share no universal genes. Therefore, in a broad-scale study of virus evolution, gene and genome network analyses can complement traditional phylogenetics. We performed an exhaustive comparative analysis of the genomes of double-stranded DNA (dsDNA) viruses by using the bipartite network approach and found a robust hierarchical modularity in the dsDNA virosphere. Bipartite networks consist of two classes of nodes, with nodes in one class, in this case genomes, being connected via nodes of the second class, in this case genes. Such a network can be partitioned into modules that combine nodes from both classes. The bipartite network of dsDNA viruses includes 19 modules that form 5 major and 3 minor supermodules. Of these modules, 11 include tailed bacteriophages, reflecting the diversity of this largest group of viruses. The module analysis quantitatively validates and refines previously proposed nontrivial evolutionary relationships. An expansive supermodule combines the large and giant viruses of the putative order "Megavirales" with diverse moderate-sized viruses and related mobile elements. All viruses in this supermodule share a distinct morphogenetic tool kit with a double jelly roll major capsid protein. Herpesviruses and tailed bacteriophages comprise another supermodule, held together by a distinct set of morphogenetic proteins centered on the HK97-like major capsid protein. Together, these two supermodules cover the great majority of currently known dsDNA viruses. We formally identify a set of 14 viral hallmark genes that comprise the hubs of the network and account for most of the intermodule connections. IMPORTANCE: Viruses and related mobile genetic elements are the dominant biological entities on earth, but their evolution is not sufficiently understood and their classification is not adequately developed. The key reason is the characteristic high rate of virus evolution that involves not only sequence change but also extensive gene loss, gain, and exchange. Therefore, in the study of virus evolution on a large scale, traditional phylogenetic approaches have limited applicability and have to be complemented by gene and genome network analyses. We applied state-of-the art methods of such analysis to reveal robust hierarchical modularity in the genomes of double-stranded DNA viruses. Some of the identified modules combine highly diverse viruses infecting bacteria, archaea, and eukaryotes, in support of previous hypotheses on direct evolutionary relationships between viruses from the three domains of cellular life. We formally identify a set of 14 viral hallmark genes that hold together the genomic network.

Indexed as

Evolution, MolecularGenes, ViralArchaeaBacteriaComputational BiologyDNADNA VirusesEukaryotaSequence HomologyDNA

Identifiers

PMID27486193
PMCPMC4981718
OpenAlexW2499248285

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.