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Dataset Information

Genetic determinants of antimicrobial resistance in three multi-drug resistant strains of Cutibacterium acnes isolated from patients with acne: a predictive in silico study.


ABSTRACT:

Objectives

Using available whole genome data, the objective of this in silico study was to identify genetic mechanisms that could explain the antimicrobial resistance profile of three multi-drug resistant (MDR) strains (CA17, CA51, CA39) of the skin bacterium Cutibacterium acnes previously recovered from patients with acne. In particular, we were interested in detecting novel genetic determinants associated with resistance to fluoroquinolone and macrolide antibiotics that could then be confirmed experimentally.

Methods

A range of open source bioinformatics tools were used to 'mine' genetic determinants of antimicrobial resistance and plasmid borne contigs, and to characterise the phylogenetic diversity of the MDR strains.

Results

As probable mechanisms o

SUBMITTER: Beirne C 

PROVIDER: S-EPMC9484663 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature