Evidence map›Paper›PMID 35229639›Full record

ArticlemBio2022

The Global Virome in One Network (VIRION): an Atlas of Vertebrate-Virus Associations.

Colin J Carlson, Rory J Gibb, Gregory F Albery, Liam Brierley, Ryan P Connor, Tad A Dallas, Evan A Eskew, Anna C Fagre, Maxwell J Farrell, Hannah K Frank and 5 more

Abstract read
In one paragraph

Article in mBio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

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

  1. Pooled it
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  17. Article
  18. Pathogens and planetary change.Nature reviews. Biodiversity · 2025
    Article
  19. Review
  20. Viral genomic features predictbioRxiv : the preprint server for biology · 2024
    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

15 authors.

Colin J CarlsonDepartment of Microbiology and Immunology, Georgetown University Medical Center, Georgetown University, Washington, DC, USA.ORCID 0000-0001-6960-8434
Rory J GibbCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Gregory F AlberyDepartment of Biology, Georgetown University, Washington, DC, USA.
Liam BrierleyDepartment of Health Data Science, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0002-3026-4723
Ryan P ConnorNational Center for Biotechnology Information, U.S. National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.
Tad A DallasDepartment of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana, USA.
Evan A EskewDepartment of Biology, Pacific Lutheran University, Tacoma, Washington, USA.
Anna C FagreDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Maxwell J FarrellDepartment of Ecology & Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.
Hannah K FrankDepartment of Ecology and Evolutionary Biology, Tulane University, New Orleans, Louisiana, USA.
Renata L MuylaertMolecular Epidemiology and Public Health Laboratory, Hopkirk Research Institute, Massey University, Palmerston North, New Zealand.
Timothée PoisotDépartement de Sciences Biologiques, Université de Montréal, Montréal, Quebec, Canada.
Angela L RasmussenCenter for Global Health Science and Security, Georgetown University Medical Center, Georgetown University, Washington, DC, USA.ORCID 0000-0001-9462-3169
Sadie J RyanDepartment of Geography, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-4308-6321
Stephanie N SeifertPaul G. Allen School of Global Health, Washington State University, Pullman, Washington, USA.

Funding

National Biomedical Information ServicesZIHLM200888 · NLM · NATIONAL LIBRARY OF MEDICINE · PI PALTOO, DINA · 2009 to 2025
$5200.7M
National Science Foundation (NSF) NSF BII 2021909
6 · The paper itself

Abstract

Data that catalogue viral diversity on Earth have been fragmented across sources, disciplines, formats, and various degrees of open sharing, posing challenges for research on macroecology, evolution, and public health. Here, we solve this problem by establishing a dynamically maintained database of vertebrate-virus associations, called The Global Virome in One Network (VIRION). The VIRION database has been assembled through both reconciliation of static data sets and integration of dynamically updated databases. These data sources are all harmonized against one taxonomic backbone, including metadata on host and virus taxonomic validity and higher classification; additional metadata on sampling methodology and evidence strength are also available in a harmonized format. In total, the VIRION database is the largest open-source, open-access database of its kind, with roughly half a million unique records that include 9,521 resolved virus "species" (of which 1,661 are ICTV ratified), 3,692 resolved vertebrate host species, and 23,147 unique interactions between taxonomically valid organisms. Together, these data cover roughly a quarter of mammal diversity, a 10th of bird diversity, and ∼6% of the estimated total diversity of vertebrates, and a much larger proportion of their virome than any previous database. We show how these data can be used to test hypotheses about microbiology, ecology, and evolution and make suggestions for best practices that address the unique mix of evidence that coexists in these data.

Indexed as

ChiropteraVirusesAnimalsDNA VirusesVirionViromedata synthesisecological networksglobal viromehost-virus interactions

Identifiers

PMID35229639
PMCPMC8941870

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.