Methicillin-resistant Macrococcus canis in a human wound.


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:
12 2021
Historique:
received: 21 05 2021
revised: 01 09 2021
accepted: 22 10 2021
pubmed: 30 10 2021
medline: 15 1 2022
entrez: 29 10 2021
Statut: ppublish

Résumé

A hemolytic Macrococcus canis strain (LI021) was isolated for the first time from a human skin infection. The complete genome of LI021 consisting of a 2,216,765-bp circular chromosome was obtained by de novo hybrid assembly of Illumina and Oxford Nanopore technology reads. Strain LI021 belonged to the new sequence type ST75 and was resistant to β-lactam antibiotics due to the presence of a methicillin resistance gene mecB. The mecB gene as well as putative hemolysin genes hlgB and hlgC were located on a novel composite pseudo (Ψ) SCCmec island. These findings show that a methicillin-resistant M. canis may be associated with human infection and indicate that this bacterium should be considered by human diagnostic laboratories.

Identifiants

pubmed: 34715385
pii: S1567-1348(21)00425-1
doi: 10.1016/j.meegid.2021.105125
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

105125

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Géraldine Jost (G)

Dianalabs, Geneva, Switzerland.

Sybille Schwendener (S)

Division of Molecular Epidemiology & Infectious Diseases, Institute of Veterinary Bacteriology, University of Bern, Bern, Switzerland.

Nadia Liassine (N)

Dianalabs, Geneva, Switzerland.

Vincent Perreten (V)

Division of Molecular Epidemiology & Infectious Diseases, Institute of Veterinary Bacteriology, University of Bern, Bern, Switzerland. Electronic address: vincent.perreten@vetsuisse.unibe.ch.

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Classifications MeSH