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Title: Predicting antimicrobial susceptibility from the bacterial genome: A new paradigm for one health resistance monitoring

Abstract

The laboratory identification of antibacterial resistance is a cornerstone of infectious disease medicine. In vitro antimicrobial susceptibility testing has long been based on the growth response of organisms in pure culture to a defined concentration of antimicrobial agents. By comparing individual isolates to wild type susceptibility patterns, strains with acquired resistance can be identified. Acquired resistance can also be detected genetically. After many decades of research, the inventory of genes underlying antimicrobial resistance (AMR) is well known for several pathogenic genera including zoonotic enteric organisms such as Salmonella and Campylobacter and continues to grow substantially for others. With the decline in costs for large scale DNA sequencing, it is now practicable to characterize bacteria using whole genome sequencing (WGS), including the carriage of resistance genes in individual microorganisms and those present in complex biological samples. With genomics we can generate comprehensive, detailed information on the bacterium, the mechanisms of antibiotic resistance, clues to its source, and the nature of mobile DNA elements by which resistance spreads. These developments point to a new paradigm for antimicrobial resistance detection and tracking for both clinical and public health purposes.

Authors:
ORCiD logo [1];  [2]
  1. U.S. Food and Drug Administration (FDA), College Park, MD (United States)
  2. Argonne National Lab. (ANL), Argonne, IL (United States); Univ. of Chicago, IL (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC); Defense Advanced Research Projects Agency (DARPA); National Institutes of Health (NIH)
OSTI Identifier:
1774016
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Veterinary Pharmacology and Therapeutics
Additional Journal Information:
Journal Volume: 44; Journal Issue: 2; Journal ID: ISSN 0140-7783
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES

Citation Formats

McDermott, Patrick F., and Davis, James J. Predicting antimicrobial susceptibility from the bacterial genome: A new paradigm for one health resistance monitoring. United States: N. p., 2020. Web. doi:10.1111/jvp.12913.
McDermott, Patrick F., & Davis, James J. Predicting antimicrobial susceptibility from the bacterial genome: A new paradigm for one health resistance monitoring. United States. https://doi.org/10.1111/jvp.12913
McDermott, Patrick F., and Davis, James J. Sat . "Predicting antimicrobial susceptibility from the bacterial genome: A new paradigm for one health resistance monitoring". United States. https://doi.org/10.1111/jvp.12913. https://www.osti.gov/servlets/purl/1774016.
@article{osti_1774016,
title = {Predicting antimicrobial susceptibility from the bacterial genome: A new paradigm for one health resistance monitoring},
author = {McDermott, Patrick F. and Davis, James J.},
abstractNote = {The laboratory identification of antibacterial resistance is a cornerstone of infectious disease medicine. In vitro antimicrobial susceptibility testing has long been based on the growth response of organisms in pure culture to a defined concentration of antimicrobial agents. By comparing individual isolates to wild type susceptibility patterns, strains with acquired resistance can be identified. Acquired resistance can also be detected genetically. After many decades of research, the inventory of genes underlying antimicrobial resistance (AMR) is well known for several pathogenic genera including zoonotic enteric organisms such as Salmonella and Campylobacter and continues to grow substantially for others. With the decline in costs for large scale DNA sequencing, it is now practicable to characterize bacteria using whole genome sequencing (WGS), including the carriage of resistance genes in individual microorganisms and those present in complex biological samples. With genomics we can generate comprehensive, detailed information on the bacterium, the mechanisms of antibiotic resistance, clues to its source, and the nature of mobile DNA elements by which resistance spreads. These developments point to a new paradigm for antimicrobial resistance detection and tracking for both clinical and public health purposes.},
doi = {10.1111/jvp.12913},
journal = {Journal of Veterinary Pharmacology and Therapeutics},
number = 2,
volume = 44,
place = {United States},
year = {Sat Oct 03 00:00:00 EDT 2020},
month = {Sat Oct 03 00:00:00 EDT 2020}
}

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