Evidence map›Paper›PMID 28630747›Full record

ArticleVirus evolution2017

Global patterns in coronavirus diversity.

Simon J Anthony, Christine K Johnson, Denise J Greig, Sarah Kramer, Xiaoyu Che, Heather Wells, Allison L Hicks, Damien O Joly, Nathan D Wolfe, Peter Daszak and 6 more

Abstract read
In one paragraph

Article in Virus evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 242 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
242citing papers in PubMed, 2 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

242 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 229E- and NL63-like coronaviruses in phyllostomid bats, Belize.One health (Amsterdam, Netherlands) · 2025
    Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Simon J AnthonyCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, 722 West 168 Street, New York, NY 10032, USA.
Christine K JohnsonOne Health Institute & Karen C Drayer Wildlife Health Center, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA.
Denise J GreigOne Health Institute & Karen C Drayer Wildlife Health Center, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA.
Sarah KramerCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, 722 West 168 Street, New York, NY 10032, USA.
Xiaoyu CheCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, 722 West 168 Street, New York, NY 10032, USA.
Heather WellsCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, 722 West 168 Street, New York, NY 10032, USA.
Allison L HicksCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, 722 West 168 Street, New York, NY 10032, USA.
Damien O JolyMetabiota, Inc. One Sutter, Suite 600, San Francisco, CA 94104, USA.
Nathan D WolfeMetabiota, Inc. One Sutter, Suite 600, San Francisco, CA 94104, USA.
Peter DaszakEcoHealth Alliance, 460 West 34 Street, New York, NY 10001, USA.
William KareshEcoHealth Alliance, 460 West 34 Street, New York, NY 10001, USA.
W I LipkinCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, 722 West 168 Street, New York, NY 10032, USA.
Stephen S MorseDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168 Street, New York, NY 10032, USA.
PREDICT Consortium
Jonna A K MazetOne Health Institute & Karen C Drayer Wildlife Health Center, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA.
Tracey GoldsteinOne Health Institute & Karen C Drayer Wildlife Health Center, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the emergence of Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) and Middle East Respiratory Syndrom Coronavirus (MERS-CoV) it has become increasingly clear that bats are important reservoirs of CoVs. Despite this, only 6% of all CoV sequences in GenBank are from bats. The remaining 94% largely consist of known pathogens of public health or agricultural significance, indicating that current research effort is heavily biased towards describing known diseases rather than the 'pre-emergent' diversity in bats. Our study addresses this critical gap, and focuses on resource poor countries where the risk of zoonotic emergence is believed to be highest. We surveyed the diversity of CoVs in multiple host taxa from twenty countries to explore the factors driving viral diversity at a global scale. We identified sequences representing 100 discrete phylogenetic clusters, ninety-one of which were found in bats, and used ecological and epidemiologic analyses to show that patterns of CoV diversity correlate with those of bat diversity. This cements bats as the major evolutionary reservoirs and ecological drivers of CoV diversity. Co-phylogenetic reconciliation analysis was also used to show that host switching has contributed to CoV evolution, and a preliminary analysis suggests that regional variation exists in the dynamics of this process. Overall our study represents a model for exploring global viral diversity and advances our fundamental understanding of CoV biodiversity and the potential risk factors associated with zoonotic emergence.

Indexed as

batcoronavirusevolutionviral ecology

Identifiers

PMID28630747
PMCPMC5467638

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.