Evidence map›Paper›PMID 21531564›Full record

ReviewTrends in microbiology2011

Two-stepping through time: mammals and viruses.

Nicholas R Meyerson, Sara L Sawyer

Open access · greenAbstract readReview
In one paragraph

Review in Trends in microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 2% 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

94 citing papers in PubMed, 1 synthesis or guideline pooled it, 146 citations in OpenAlex.

  1. A metaanalysis of bat phylogenetics and positive selection based on genomes and transcriptomes from 18 species.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Pooled it
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  16. Polycystic Ovary Syndrome: An Evolutionary Adaptation to Lifestyle and the Environment.International journal of environmental research and public health · 2022
    Review
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34 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 at 1 institution in 1 country.

Nicholas R MeyersonSection of Molecular Genetics and Microbiology, Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712, USA.
Sara L Sawyer
The University of Texas at Austin · US

Funding

Rapid evolution of genes critical for genome integrityR01GM093086 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI SAWYER, SARA · 2010 to 2016
$1.9M
NIGMS NIH HHS R01 GM093086NIGMS NIH HHS R01-GM-093086
6 · The paper itself

Abstract

Recent studies have identified ancient virus genomes preserved as fossils within diverse animal genomes. These fossils have led to the revelation that a broad range of mammalian virus families are older and more ubiquitous than previously appreciated. Long-term interactions between viruses and their hosts often develop into genetic arms races where both parties continually jockey for evolutionary dominance. It is difficult to imagine how mammalian hosts have kept pace in the evolutionary race against rapidly evolving viruses over large expanses of time, given their much slower evolutionary rates. However, recent data has begun to reveal the evolutionary strategy of slowly-evolving hosts. We review these data and suggest a modified arms race model where the evolutionary possibilities of viruses are relatively constrained. Such a model could allow more accurate forecasting of virus evolution.

Indexed as

Biological EvolutionAnimalsHost-Pathogen InteractionsMammalsVirusesVirus Physiological Phenomena

Identifiers

PMID21531564
PMCPMC3567447
OpenAlexW2147030831

What OpenQuestion holds

Textmetadata
LicenceTDM
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.