Evolution and molecular epidemiology of polyomaviruses.


Journal

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
ISSN: 1567-7257
Titre abrégé: Infect Genet Evol
Pays: Netherlands
ID NLM: 101084138

Informations de publication

Date de publication:
04 2020
Historique:
received: 15 11 2019
revised: 17 12 2019
accepted: 19 12 2019
pubmed: 25 12 2019
medline: 2 2 2021
entrez: 25 12 2019
Statut: ppublish

Résumé

Polyomaviruses (PyVs) are small DNA viruses that infect several species, including mammals, birds and fishes. Their study gained momentum after the report of previously unidentified viral species in the past decade, and especially, since the description of the first polyomavirus clearly oncogenic for humans. The aim of this work was to review the most relevant aspects of the evolution and molecular epidemiology of polyomaviruses, allowing to reveal general evolutionary patterns and to identify some unaddressed issues and future challenges. The main points analysed included: 1) the species and genera assignation criteria; 2) the hypotheses, mechanisms and timescale of the ancient and recent evolutionary history of polyomaviruses; and 3) the molecular epidemiology of human viruses, with special attention to JC, BK and Merkel cell polyomaviruses.

Identifiants

pubmed: 31870972
pii: S1567-1348(19)30376-4
doi: 10.1016/j.meegid.2019.104150
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

104150

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

Auteurs

Carolina Torres (C)

Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Instituto de Investigaciones en Bacteriología y Virología Molecular (IBaViM), Buenos Aires, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina. Electronic address: ctorres@ffyb.uba.ar.

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Classifications MeSH