PorinPredict: <i>In Silico</i> Identification of OprD Loss from WGS Data for Improved Genotype-Phenotype Predictions of P. aeruginosa Carbapenem Resistance-Reference-Cited by-同舟云学术

PorinPredict: In Silico Identification of OprD Loss from WGS Data for Improved Genotype-Phenotype Predictions of P. aeruginosa Carbapenem Resistance

Published:2023-04-13 Issue:2 Volume:11 Page:
ISSN:2165-0497
Container-title:Microbiology Spectrum
language:en
Short-container-title:Microbiol Spectr

Author:

Biggel Michael¹^ORCID,Johler Sophia¹^ORCID,Roloff Tim²³⁴,Tschudin-Sutter Sarah⁵,Bassetti Stefano⁶,Siegemund Martin⁷,Egli Adrian²³⁴,Stephan Roger¹^ORCID,Seth-Smith Helena M. B.²³⁴

Affiliation:

1. Institute for Food Safety and Hygiene, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland

2. Division of Clinical Bacteriology and Mycology, University Hospital Basel, Basel, Switzerland

3. Applied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland

4. Institute of Medical Microbiology, University of Zurich, Zurich

5. Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland

6. Internal Medicine, University Hospital Basel, Basel, Switzerland

7. Intensive Care Unit, University Hospital Basel, Basel, Switzerland

Abstract

Pseudomonas aeruginosa is a major cause of multidrug-resistant nosocomial infections. The emergence and spread of clones exhibiting resistance to carbapenems, a class of critical last-line antibiotics, is therefore closely monitored.

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Cell Biology,Microbiology (medical),Genetics,General Immunology and Microbiology,Ecology,Physiology

Link

https://journals.asm.org/doi/pdf/10.1128/spectrum.03588-22

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