WGS accurately predicts antimicrobial resistance in Escherichia coli.

ABSTRACT:

Objectives

The objective of this study was to determine the effectiveness of WGS in identifying resistance genotypes of MDR Escherichia coli and whether these correlate with observed phenotypes.

Methods

Seventy-six E. coli strains were isolated from farm cattle and measured for phenotypic resistance to 15 antimicrobials with the Sensititre(®) system. Isolates with resistance to at least four antimicrobials in three classes were selected for WGS using an Illumina MiSeq. Genotypic analysis was conducted with in-house Perl scripts using BLAST analysis to identify known genes and mutations associated with clinical resistance.

Results

Over 30 resistance genes and a number of resistance mutations were identified among the E. coli isolates. Resistance genotypes correlated wi

SUBMITTER: Tyson GH 

PROVIDER: S-EPMC11606221 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature