Evidence map›Paper›PMID 24415935›Full record

ArticlePLoS pathogens2014

Cell tropism predicts long-term nucleotide substitution rates of mammalian RNA viruses.

Allison L Hicks, Siobain Duffy

Abstract read
In one paragraph

Article in PLoS pathogens, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Zoonotic and reverse zoonotic transmission of viruses between humans and pigs.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2021
    Review
  6. Article
  7. Article
  8. Many human RNA viruses show extraordinarily stringent selective constraints on protein evolution.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  9. Article
  10. Article
  11. Article
  12. Complexities of Viral Mutation Rates.Journal of virology · 2018
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. 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.

Allison L HicksDepartment of Ecology, Evolution, and Natural Resources, School of Environmental and Biological Sciences, Rutgers, The State University of New Jersey, New Brunswick, New Jersey, United States of America.
Siobain DuffyDepartment of Ecology, Evolution, and Natural Resources, School of Environmental and Biological Sciences, Rutgers, The State University of New Jersey, New Brunswick, New Jersey, United States of America.

Funding

Effect of tissue tropism on RNA viral evolutionary rates: three family-level analR03AI096265 · NIAID · RUTGERS, THE STATE UNIV OF N.J. · PI DUFFY, SIOBAIN M · 2011 to 2012
$155k
NIAID NIH HHS 1R03AI096265-01NIAID NIH HHS R03 AI096265
6 · The paper itself

Abstract

The high rates of RNA virus evolution are generally attributed to replication with error-prone RNA-dependent RNA polymerases. However, these long-term nucleotide substitution rates span three orders of magnitude and do not correlate well with mutation rates or selection pressures. This substitution rate variation may be explained by differences in virus ecology or intrinsic genomic properties. We generated nucleotide substitution rate estimates for mammalian RNA viruses and compiled comparable published rates, yielding a dataset of 118 substitution rates of structural genes from 51 different species, as well as 40 rates of non-structural genes from 28 species. Through ANCOVA analyses, we evaluated the relationships between these rates and four ecological factors: target cell, transmission route, host range, infection duration; and three genomic properties: genome length, genome sense, genome segmentation. Of these seven factors, we found target cells to be the only significant predictors of viral substitution rates, with tropisms for epithelial cells or neurons (P<0.0001) as the most significant predictors. Further, one-tailed t-tests showed that viruses primarily infecting epithelial cells evolve significantly faster than neurotropic viruses (P<0.0001 and P<0.001 for the structural genes and non-structural genes, respectively). These results provide strong evidence that the fastest evolving mammalian RNA viruses infect cells with the highest turnover rates: the highly proliferative epithelial cells. Estimated viral generation times suggest that epithelial-infecting viruses replicate more quickly than viruses with different cell tropisms. Our results indicate that cell tropism is a key factor in viral evolvability.

Indexed as

Evolution, MolecularGenes, ViralPoint MutationAnimalsHumansRNA VirusesViral Nonstructural ProteinsViral TropismViral Nonstructural Proteins

Identifiers

PMID24415935
PMCPMC3887100

What OpenQuestion holds

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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.