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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Awarded by Australian Government
Funding Acknowledgements
This study was supported by the National Health and Medical Research Council (awards 1046812, 1098337, and 1131932 [the HOT NORTH initiative] ) , Advance Queensland (awards AQIRF0362018 and AQRF13016-17RD2) , the Australian Government, and James CookUniversity. The funders had no role in study design, data acquisition, analysis, interpretation, writing or submission of the manuscript.