Genome-Based Prediction of Bacterial Antibiotic Resistance-Reference-Cited by-同舟云学术

Genome-Based Prediction of Bacterial Antibiotic Resistance

Published:2019-03 Issue:3 Volume:57 Page:
ISSN:0095-1137
Container-title:Journal of Clinical Microbiology
language:en
Short-container-title:J Clin Microbiol

Author:

Su Michelle¹²³,Satola Sarah W.¹³⁴,Read Timothy D.¹³⁴

Affiliation:

1. Department of Infectious Diseases, Emory University, Atlanta, Georgia, USA

2. Antimicrobial Resistance and Therapeutic Discovery Training Program, Emory University, Atlanta, Georgia, USA

3. Antibiotic Resistance Center, Emory University, Atlanta, Georgia, USA

4. Emory Investigational Clinical Microbiology Laboratory, Emory University, Atlanta, Georgia, USA

Abstract

Clinical microbiology has long relied on growing bacteria in culture to determine antimicrobial susceptibility profiles, but the use of whole-genome sequencing for antibiotic susceptibility testing (WGS-AST) is now a powerful alternative. This review discusses the technologies that made this possible and presents results from recent studies to predict resistance based on genome sequences.

Funder

HHS | NIH | National Institute of Allergy and Infectious Diseases

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

Link

https://journals.asm.org/doi/pdf/10.1128/JCM.01405-18

Reference117 articles.

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2. The role of whole genome sequencing in antimicrobial susceptibility testing of bacteria: report from the EUCAST Subcommittee

3. Making the Leap from Research Laboratory to Clinic: Challenges and Opportunities for Next-Generation Sequencing in Infectious Disease Diagnostics