Whole-Genome Sequence Analysis of Multidrug-Resistant Campylobacter Isolates: a Focus on Aminoglycoside Resistance Determinants.
SIFRE, Elodie
Infection à helicobacter, inflammation et cancer
Université de Bordeaux [UB]
BoRdeaux Institute in onCology [Inserm U1312 - BRIC]
Infection à helicobacter, inflammation et cancer
Université de Bordeaux [UB]
BoRdeaux Institute in onCology [Inserm U1312 - BRIC]
BUISSONNIÈRE, Alice
Université de Bordeaux [UB]
BoRdeaux Institute in onCology [Inserm U1312 - BRIC]
< Réduire
Université de Bordeaux [UB]
BoRdeaux Institute in onCology [Inserm U1312 - BRIC]
Langue
EN
Article de revue
Ce document a été publié dans
Journal of Clinical Microbiology. 2018-09-01, vol. 56, n° 9
Résumé en anglais
A whole-genome sequencing (WGS) approach was conducted in order to identify the molecular determinants associated with antimicrobial resistance in 12 multidrug-resistant and isolates, with a focus on aminoglycoside ...Lire la suite >
A whole-genome sequencing (WGS) approach was conducted in order to identify the molecular determinants associated with antimicrobial resistance in 12 multidrug-resistant and isolates, with a focus on aminoglycoside resistance determinants. Two variants of a new aminoglycoside phosphotransferase gene [(″)- and (″)- ] putatively associated with gentamicin resistance were found. In addition, the following new genes were identified for the first time in : a lincosamide nucleotidyltransferase gene [(G)], likely associated with lincomycin resistance, and two resistance enzyme genes ( and ) similar to those found in , which may confer spectinomycin and gentamicin resistance, respectively. A C1192T mutation of the 16S rRNA gene that may be involved in spectinomycin resistance was also found in a isolate. Genes identified in the present study were located either on the bacterial chromosome or on plasmids that could be transferred naturally. Their role in aminoglycoside resistance remains to be supported by genetic studies. Regarding the other antimicrobial agents studied, i.e., ampicillin, ciprofloxacin, erythromycin, and tetracycline, a perfect correlation between antimicrobial phenotypes and genotypes was found. Overall, our data suggest that WGS analysis is a powerful tool for identifying resistance determinants in and can disclose the full genetic elements associated with resistance, including antimicrobial compounds not tested routinely in antimicrobial susceptibility testing.< Réduire
Mots clés en anglais
Aminoglycosides
Animals
Anti-Bacterial Agents
Bacterial Proteins
Campylobacter
Campylobacter Infections
Campylobacter coli
Campylobacter jejuni
DNA
Bacterial
Drug Resistance
Multiple
Bacterial
Genome
Bacterial
Humans
Mutation
Phylogeny
Plasmids
RNA
Ribosomal
16S
Red Meat
Sequence Analysis
DNA
Unités de recherche