Evidence map›Paper›PMID 30519509›Full record

ArticlePeerJ2018

Taxonomic patterns in the zoonotic potential of mammalian viruses.

Alex D Washburne, Daniel E Crowley, Daniel J Becker, Kevin J Olival, Matthew Taylor, Vincent J Munster, Raina K Plowright

Abstract read
In one paragraph

Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Bats host the most virulent-but not the most dangerous-zoonotic viruses.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. The science of the host-virus network.Nature microbiology · 2021
    Review
  7. The future of zoonotic risk prediction.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  8. Article
  9. Impacts of biodiversity and biodiversity loss on zoonotic diseases.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Viral zoonotic risk is homogenous among taxonomic orders of mammalian and avian reservoir hosts.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  15. The problem of scale in the prediction and management of pathogen spillover.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    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

7 authors.

Alex D WashburneDepartment of Microbiology and Immunology, Montana State University, Bozeman, MT, USA.ORCID 0000-0002-6174-0526
Daniel E CrowleyDepartment of Microbiology and Immunology, Montana State University, Bozeman, MT, USA.
Daniel J BeckerDepartment of Microbiology and Immunology, Montana State University, Bozeman, MT, USA.ORCID 0000-0003-4315-8628
Kevin J OlivalEcohealth Alliance, New York, NY, USA.ORCID 0000-0003-3211-1875
Matthew TaylorDepartment of Microbiology and Immunology, Montana State University, Bozeman, MT, USA.ORCID 0000-0003-0199-7175
Vincent J MunsterNational Institute of Allergy and Infectious Disease, Hamilton, MT, USA.
Raina K PlowrightDepartment of Microbiology and Immunology, Montana State University, Bozeman, MT, USA.

Funding

Research Core (Developmental Research Project Program)P20GM103474 · NIGMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI Jeffrey Good · 2012 to 2026
$60.0M
Virus Ecology UnitZIAAI001179 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI MUNSTER, VINCENT · 2013 to 2025
$24.3M
Pilot Grants ProgramP30GM110732 · NIGMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI QUINN, MARK T · 2014 to 2018
$5.4M
NIGMS NIH HHS P20 GM103474NIGMS NIH HHS P30 GM110732
6 · The paper itself

Abstract

Predicting and simplifying which pathogens may spill over from animals to humans is a major priority in infectious disease biology. Many efforts to determine which viruses are at risk of spillover use a subset of viral traits to find trait-based associations with spillover. We adapt a new method-phylofactorization-to identify not traits but lineages of viruses at risk of spilling over. Phylofactorization is used to partition the International Committee on Taxonomy of Viruses viral taxonomy based on non-human host range of viruses and whether there exists evidence the viruses have infected humans. We identify clades on a range of taxonomic levels with high or low propensities to spillover, thereby simplifying the classification of zoonotic potential of mammalian viruses. Phylofactorization by whether a virus is zoonotic yields many disjoint clades of viruses containing few to no representatives that have spilled over to humans. Phylofactorization by non-human host breadth yields several clades with significantly higher host breadth. We connect the phylogenetic factors above with life-histories of clades, revisit trait-based analyses, and illustrate how cladistic coarse-graining of zoonotic potential can refine trait-based analyses by illuminating clade-specific determinants of spillover risk.

Indexed as

EpidemiologyPhylofactorizationSpilloverVirusesZoonosis

Identifiers

PMID30519509
PMCPMC6272030

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.