Journal article

Taking the next-gen step: Comprehensive antimicrobial resistance detection from Burkholderia pseudomallei

DE Madden, JR Webb, EJ Steinig, BJ Currie, EP Price, DS Sarovich

Ebiomedicine | ELSEVIER | Published : 2021

Abstract

Background: Antimicrobial resistance (AMR) poses a major threat to human health. Whole-genome sequencing holds great potential for AMR identification; however, there remain major gaps in accurately and comprehensively detecting AMR across the spectrum of AMR-conferring determinants and pathogens. Methods: Using 16 wild-type Burkholderia pseudomallei and 25 with acquired AMR, we first assessed the performance of existing AMR software (ARIBA, CARD, ResFinder, and AMRFinderPlus) for detecting clinically relevant AMR in this pathogen. B. pseudomallei was chosen due to limited treatment options, high fatality rate, and AMR caused exclusively by chromosomal mutation (i.e. single-nucleotide polymor..

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University of Melbourne Researchers