Evidence map›Paper›PMID 27187613›Full record

ArticleeLife2016

Viruses are a dominant driver of protein adaptation in mammals.

David Enard, Le Cai, Carina Gwennap, Dmitri A Petrov

Open access · goldAbstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers.

0numbers the graph read from it
0cells of the map it votes in
165citing papers in PubMed
22.1field-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

165 citing papers in PubMed, 398 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Article
  6. The molecular evolution of vertebrate organs.Nature ecology & evolution · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Polymorphism of theGenes · 2025
    Article
  14. Article
  15. Extensive longevity and DNA virus-driven adaptation in nearcticbioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

David EnardDepartment of Biology, Stanford University, Stanford, United States.ORCID 0000-0003-2634-8016
Le CaiDepartment of Biology, Stanford University, Stanford, United States.
Carina GwennapDepartment of Biology, Stanford University, Stanford, United States.
Dmitri A PetrovDepartment of Biology, Stanford University, Stanford, United States.
Stanford University · US

Funding

Genomics of rapid adaptation in the lab and in the wildR35GM118165 · NIGMS · STANFORD UNIVERSITY · PI Dmitri Petrov · 2016 to 2026
$8.3M
Sequencing yeast lines to measure rates of neutral and deleterious mutationsR01GM097415 · NIGMS · NEW YORK UNIVERSITY · PI PETROV, DMITRI, SIEGAL, MARK L · 2011 to 2014
$2.3M
Population Genomics of Adaptive Transposition in DrosophilaR01GM089926 · NIGMS · STANFORD UNIVERSITY · PI PETROV, DMITRI · 2010 to 2013
$969k
NIGMS NIH HHS R01 GM089926NIGMS NIH HHS R01 GM097415NIGMS NIH HHS R35 GM118165
6 · The paper itself

Abstract

Viruses interact with hundreds to thousands of proteins in mammals, yet adaptation against viruses has only been studied in a few proteins specialized in antiviral defense. Whether adaptation to viruses typically involves only specialized antiviral proteins or affects a broad array of virus-interacting proteins is unknown. Here, we analyze adaptation in ~1300 virus-interacting proteins manually curated from a set of 9900 proteins conserved in all sequenced mammalian genomes. We show that viruses (i) use the more evolutionarily constrained proteins within the cellular functions they interact with and that (ii) despite this high constraint, virus-interacting proteins account for a high proportion of all protein adaptation in humans and other mammals. Adaptation is elevated in virus-interacting proteins across all functional categories, including both immune and non-immune functions. We conservatively estimate that viruses have driven close to 30% of all adaptive amino acid changes in the part of the human proteome conserved within mammals. Our results suggest that viruses are one of the most dominant drivers of evolutionary change across mammalian and human proteomes.

Indexed as

Adaptation, BiologicalEvolution, MolecularHost-Pathogen InteractionsAnimalsGenomicsHumansMammalsProteinsVirusesProteinsadaptive evolutioncomputational biologyevolutionary biologygenomicshost/pathogen interactionshumanhuman evolutionmammalssystems biologyviruses

Identifiers

PMID27187613
PMCPMC4869911
OpenAlexW2304458632

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.