Evidence map›Paper›PMID 24003179›Full record

ArticlemBio2013

A strategy to estimate unknown viral diversity in mammals.

Simon J Anthony, Jonathan H Epstein, Kris A Murray, Isamara Navarrete-Macias, Carlos M Zambrana-Torrelio, Alexander Solovyov, Rafael Ojeda-Flores, Nicole C Arrigo, Ariful Islam, Shahneaz Ali Khan and 11 more

Open access · goldAbstract read
In one paragraph

Article in mBio, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 216 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
216citing papers in PubMed, 2 pooled it
36.5field-weighted citation impact, top 1% 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

216 citing papers in PubMed, 2 syntheses or guidelines pooled it, 419 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Wildlife Trade and Genetic Basis of Disease Susceptibility: A Review.International journal of immunogenetics · 2026
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Methods to Characterize Mutant Spectra of RNA Viruses: The Case of SARS-CoV-2.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

156 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

21 authors at 7 institutions in 3 countries.

Simon J AnthonyCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, New York, USA. sja2127@columbia.edu
Jonathan H Epstein
Kris A Murray
Isamara Navarrete-Macias
Carlos M Zambrana-Torrelio
Alexander Solovyov
Rafael Ojeda-Flores
Nicole C Arrigo
Ariful Islam
Shahneaz Ali Khan
Parviez Hosseini
Tiffany L Bogich
Kevin J Olival
Maria D Sanchez-Leon
William B Karesh
Tracey Goldstein
Stephen P Luby
Stephen S Morse
Jonna A K Mazet
Peter Daszak
W Ian Lipkin
EcoHealth Alliance · USColumbia University · USUniversity of California, Davis · USChattogram Veterinary and Animal Sciences University · BDInternational Centre for Diarrhoeal Disease Research · BDPrinceton University · USUniversidad Nacional Autónoma de México · MX

Funding

Viral Pathogenesis and TherapeuticsU54AI057158 · NIAID · WADSWORTH CENTER · PI LEVY, DAVID E · 2003 to 2014
$100.8M
The Ecology, Emergence and Pandemic Potential of Nipah virus in BangladeshR01TW005869 · FIC · WILDLIFE TRUST · PI DASZAK, PETER · 2002 to 2012
$5.5M
Risk of Viral Emergence from BatsR01AI079231 · NIAID · ECOHEALTH ALLIANCE, INC. · PI DASZAK, PETER · 2008 to 2012
$2.6M
Risk for Future Outbreaks of Henipaviruses in South AsiaK08AI067549 · NIAID · ECOHEALTH ALLIANCE, INC. · PI EPSTEIN, JONATHAN H · 2007 to 2010
$574k
FIC NIH HHS R01 TW005869FIC NIH HHS R01-TW005869NIAID NIH HHS AI57158NIAID NIH HHS K08 AI067549NIAID NIH HHS K08AI067549NIAID NIH HHS R01 AI079231NIAID NIH HHS R01-AI079231NIAID NIH HHS U54 AI057158
6 · The paper itself

Abstract

unlabelledThe majority of emerging zoonoses originate in wildlife, and many are caused by viruses. However, there are no rigorous estimates of total viral diversity (here termed "virodiversity") for any wildlife species, despite the utility of this to future surveillance and control of emerging zoonoses. In this case study, we repeatedly sampled a mammalian wildlife host known to harbor emerging zoonotic pathogens (the Indian Flying Fox, Pteropus giganteus) and used PCR with degenerate viral family-level primers to discover and analyze the occurrence patterns of 55 viruses from nine viral families. We then adapted statistical techniques used to estimate biodiversity in vertebrates and plants and estimated the total viral richness of these nine families in P. giganteus to be 58 viruses. Our analyses demonstrate proof-of-concept of a strategy for estimating viral richness and provide the first statistically supported estimate of the number of undiscovered viruses in a mammalian host. We used a simple extrapolation to estimate that there are a minimum of 320,000 mammalian viruses awaiting discovery within these nine families, assuming all species harbor a similar number of viruses, with minimal turnover between host species. We estimate the cost of discovering these viruses to be ~$6.3 billion (or ~$1.4 billion for 85% of the total diversity), which if annualized over a 10-year study time frame would represent a small fraction of the cost of many pandemic zoonoses. IMPORTANCE: Recent years have seen a dramatic increase in viral discovery efforts. However, most lack rigorous systematic design, which limits our ability to understand viral diversity and its ecological drivers and reduces their value to public health intervention. Here, we present a new framework for the discovery of novel viruses in wildlife and use it to make the first-ever estimate of the number of viruses that exist in a mammalian host. As pathogens continue to emerge from wildlife, this estimate allows us to put preliminary bounds around the potential size of the total zoonotic pool and facilitates a better understanding of where best to allocate resources for the subsequent discovery of global viral diversity.

Indexed as

BiodiversityAnimalsAnimals, WildChiropteraMolecular Sequence DataPhylogenyPolymerase Chain ReactionVirusesZoonoses

Identifiers

PMID24003179
PMCPMC3760253
OpenAlexW1995320511

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.