Discovery of a coronavirus in the Eurasian badger (Meles meles) belonging to a putative new genus

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved..

In the aftermath of COVID-19, coronaviruses gained renewed attention by the scientific community. The study reports the identification and genetic characterization of a novel coronavirus in the European badger (Meles meles) obtained in the framework of passive surveillance implemented in Italian wildlife in response to the pandemic. Positive samples were characterized using next generation sequencing as well as genetic and phylogenetic analyses, aiming for taxonomic placement under ICTV guidelines of the viruses contained in each sample. Results obtained for six conserved domains within the polyprotein showed that the virus clustered as outgroup and shared <46% amino acid identity with other coronaviruses, supporting the assumption that it belongs to a new putative genus Epsiloncoronavirus. This finding highlights that mammals still hide diverse coronaviruses whose zoonotic and epizootic potential remains unknown.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:109

Enthalten in:

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases - 109(2023) vom: 15. Apr., Seite 105406

Sprache:

Englisch

Beteiligte Personen:

Zamperin, Gianpiero [VerfasserIn]
Festa, Francesca [VerfasserIn]
Palumbo, Elisa [VerfasserIn]
Quaranta, Erika [VerfasserIn]
Monne, Isabella [VerfasserIn]
Terregino, Calogero [VerfasserIn]
De Benedictis, Paola [VerfasserIn]
Leopardi, Stefania [VerfasserIn]

Links:

Volltext

Themen:

Coronavirus
Eurasian badger
Journal Article
Mustelids
Research Support, Non-U.S. Gov't
Viruses
Wildlife
Zoonoses

Anmerkungen:

Date Completed 09.03.2023

Date Revised 20.03.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.meegid.2023.105406

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM352743921