Evidence map›Paper›PMID 26601271›Full record

ArticleScience advances2015

A phylogenomic data-driven exploration of viral origins and evolution.

Arshan Nasir, Gustavo Caetano-Anollés

Abstract read
In one paragraph

Article in Science advances, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
–field-weighted citation impact
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

93 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Tracing Molecular Chronologies Onto Growing Biological Networks.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  5. Phylogeny Building for Structural Phylogenomic Research.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  6. Review
  7. Article
  8. Article
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  14. Article
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  19. Review
  20. Evolution of Intrinsic Disorder in Protein Loops.Life (Basel, Switzerland) · 2023
    Article

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

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Arshan NasirEvolutionary Bioinformatics Laboratory, Department of Crop Sciences and Illinois Informatics Institute, University of Illinois, Urbana, IL 61801, USA.
Gustavo Caetano-AnollésEvolutionary Bioinformatics Laboratory, Department of Crop Sciences and Illinois Informatics Institute, University of Illinois, Urbana, IL 61801, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The origin of viruses remains mysterious because of their diverse and patchy molecular and functional makeup. Although numerous hypotheses have attempted to explain viral origins, none is backed by substantive data. We take full advantage of the wealth of available protein structural and functional data to explore the evolution of the proteomic makeup of thousands of cells and viruses. Despite the extremely reduced nature of viral proteomes, we established an ancient origin of the "viral supergroup" and the existence of widespread episodes of horizontal transfer of genetic information. Viruses harboring different replicon types and infecting distantly related hosts shared many metabolic and informational protein structural domains of ancient origin that were also widespread in cellular proteomes. Phylogenomic analysis uncovered a universal tree of life and revealed that modern viruses reduced from multiple ancient cells that harbored segmented RNA genomes and coexisted with the ancestors of modern cells. The model for the origin and evolution of viruses and cells is backed by strong genomic and structural evidence and can be reconciled with existing models of viral evolution if one considers viruses to have originated from ancient cells and not from modern counterparts.

Indexed as

foldhorizontal gene transferorigin of lifephylogenetic analysisprotein domainstructuretaxonomytree of lifevirus

Identifiers

PMID26601271
PMCPMC4643759

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Registered trials

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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.