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The Global Virome in One Network (VIRION): an Atlas of Vertebrate-Virus Associations.
Carlson, Colin J; Gibb, Rory J; Albery, Gregory F; Brierley, Liam; Connor, Ryan P; Dallas, Tad A; Eskew, Evan A; Fagre, Anna C; Farrell, Maxwell J; Frank, Hannah K; Muylaert, Renata L; Poisot, Timothée; Rasmussen, Angela L; Ryan, Sadie J; Seifert, Stephanie N.
Afiliação
  • Carlson CJ; Department of Microbiology and Immunology, Georgetown University Medical Center, Georgetown University, Washington, DC, USA.
  • Gibb RJ; Center for Global Health Science and Security, Georgetown University Medical Center, Georgetown University, Washington, DC, USA.
  • Albery GF; Department of Biology, Georgetown University, Washington, DC, USA.
  • Brierley L; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Connor RP; Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Dallas TA; Department of Biology, Georgetown University, Washington, DC, USA.
  • Eskew EA; Department of Health Data Science, University of Liverpool, Liverpool, United Kingdom.
  • Fagre AC; National Center for Biotechnology Information, U.S. National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.
  • Farrell MJ; Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana, USA.
  • Frank HK; Department of Biological Sciences, University of South Carolina, Columbia, South Carolina, USA.
  • Muylaert RL; Department of Biology, Pacific Lutheran University, Tacoma, Washington, USA.
  • Poisot T; Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, USA.
  • Rasmussen AL; Bat Health Foundation, Fort Collins, Colorado, USA.
  • Ryan SJ; Department of Ecology & Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.
  • Seifert SN; Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, Louisiana, USA.
mBio ; 13(2): e0298521, 2022 04 26.
Article em En | MEDLINE | ID: mdl-35229639
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. IMPORTANCE Animals and their viruses are connected by a sprawling, tangled network of species interactions. Data on the host-virus network are available from several sources, which use different naming conventions and often report metadata in different levels of detail. VIRION is a new database that combines several of these existing data sources, reconciles taxonomy to a single consistent backbone, and reports metadata in a format designed by and for virologists. Researchers can use VIRION to easily answer questions like "Can any fish viruses infect humans?" or "Which bats host coronaviruses?" or to build more advanced predictive models, making it an unprecedented step toward a full inventory of the global virome.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vírus / Quirópteros Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vírus / Quirópteros Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Ano de publicação: 2022 Tipo de documento: Article