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Proteomics Clin Appl. 2019 Dec 24:e1800182. doi: 10.1002/prca.201800182. [Epub ahead of print]

Detection of Antimicrobial Resistance Using Proteomics and the Comprehensive Antibiotic Resistance Database: a Case Study.

Author information

1
National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
2
M.G. DeGroote Institute for Infectious Disease Research, Department of Biochemistry and Biomedical Sciences, DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada.
3
Department of Medical Microbiology & Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.

Abstract

PURPOSE:

Antimicrobial resistance (AMR), especially multidrug resistance, is one of the most serious global threats facing public health. We performed a proof of concept study assessing the suitability of shotgun proteomics as a complementary approach to whole-genome sequencing (WGS) for detecting AMR determinants.

EXPERIMENTAL DESIGN:

We used previously published shotgun proteomics and WGS data on four isolates of Campylobacter jejuni to perform AMR detection by searching the Comprehensive Antibiotic Resistance Database, and we assessed their detection ability relative to genomics screening and traditional phenotypic testing measured by minimum inhibitory concentration.

RESULTS:

Both genomic and proteomic approaches identified the wild type and variant molecular determinants responsible for resistance to tetracycline and ciprofloxacin, in agreement with phenotypic testing. In contrast, the genomic method identified the presence of the β-lactamase gene, blaOXA-61 , in three isolates. However, its corresponding protein product was detected in only a single isolate, consistent with results obtained from phenotypic testing. This article is protected by copyright. All rights reserved.

KEYWORDS:

CARD; Campylobacter jejuni; antimicrobial resistance; shotgun proteomics; whole genome sequencing

PMID:
31872964
DOI:
10.1002/prca.201800182

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