Evidence map›Paper›PMID 30523166›Full record

ReviewGenetics2018

Evolutionary Virology at 40.

Jemma L Geoghegan, Edward C Holmes

Abstract readHistorical ArticleReview
In one paragraph

Review in Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
  2. SARS-CoV-2 mutant spectrum complexity is an epidemiologically evolvable trait.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Human pathogenic RNA viruses establish noncompeting lineages by occupying independent niches.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Viruses in astrobiology.Frontiers in microbiology · 2022
    Review
  16. Article
  17. The evolution of cheating in viruses.Nature communications · 2021
    Review
  18. Review
  19. Article
  20. Article
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.

Jemma L GeogheganDepartment of Biological Sciences, Macquarie University, Sydney, New South Wales 2109, Australia.ORCID 0000-0003-0970-0153
Edward C HolmesMarie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, New South Wales 2006, Australia edward.holmes@sydney.edu.au.ORCID 0000-0001-9596-3552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA viruses are diverse, abundant, and rapidly evolving. Genetic data have been generated from virus populations since the late 1970s and used to understand their evolution, emergence, and spread, culminating in the generation and analysis of many thousands of viral genome sequences. Despite this wealth of data, evolutionary genetics has played a surprisingly small role in our understanding of virus evolution. Instead, studies of RNA virus evolution have been dominated by two very different perspectives, the experimental and the comparative, that have largely been conducted independently and sometimes antagonistically. Here, we review the insights that these two approaches have provided over the last 40 years. We show that experimental approaches using

Indexed as

Evolution, MolecularPhylogenyGenetic VariationGenome, ViralHigh-Throughput Nucleotide SequencingHistory, 20th CenturyHistory, 21st CenturyMetagenomicsRNA VirusesVirologyevolutionmetagenomicsphylodynamicsphylogenyquasispeciesvirus

Identifiers

PMID30523166
PMCPMC6283181

What OpenQuestion holds

Textmetadata
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.