Comparative analysis of multiplexed PCR and short- and long-read whole genome sequencing to investigate a large Klebsiella pneumoniae outbreak in New York State

In 2017, the New York State Department of Health investigated a large Klebsiella pneumoniae outbreak in a health care facility. A retrospective analysis was conducted to compare the use of multiple molecular typing methods for characterizing the outbreak. Forty-four isolates were characterized using...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Diagnostic microbiology and infectious disease 2022-10, Vol.104 (2), p.115765-115765, Article 115765
Hauptverfasser: Prussing, Catharine, Southwick, Karen, Snavely, Emily, Kidney, Anna, Randall, Linnell, Sossei, Alyssa, Dentinger, Lauren, Shushe, Oneida, Fernandez, Rafael, Haas, Wolfgang, Lapierre, Pascal, Singh, Navjot, Nazarian, Elizabeth J., Musser, Kimberlee A., Mitchell, Kara
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In 2017, the New York State Department of Health investigated a large Klebsiella pneumoniae outbreak in a health care facility. A retrospective analysis was conducted to compare the use of multiple molecular typing methods for characterizing the outbreak. Forty-four isolates were characterized using the rapid real-time PCR OpGen Acuitas® AMR Gene Panel. Additionally, short-read whole genome sequencing (WGS) analysis was used to identify antimicrobial resistance (AMR) genes and assess isolate relatedness. Long-read Oxford Nanopore MinION WGS was used to characterize the plasmid content of a subset of isolates. All methods showed overall concordance, identifying four clusters, with a few discrepancies in the clustering of individual isolates. Though short- and long-read WGS results provided a more nuanced understanding of the molecular epidemiology of this outbreak, this study highlights the utility of the Acuitas® PCR-based approach, which can more easily be performed by health care facilities, for rapid clustering of patient isolates.
ISSN:0732-8893
1879-0070
DOI:10.1016/j.diagmicrobio.2022.115765