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Core genome MLST and resistome analysis of Klebsiella pneumoniae using a clinically amenable workflow.

Authors :
Fida, Madiha
Cunningham, Scott A
Murphy, Matthew P
Bonomo, Robert A
Hujer, Kristine M
Hujer, Andrea M
Kreiswirth, Barry N
Chia, Nicholas
Jeraldo, Patricio R
Nelson, Heidi
Zinsmaster, Nicole M
Toraskar, Nikhil
Chang, Weizhong
Patel, Robin
Source :
Diagnostic Microbiology & Infectious Disease. May2020, Vol. 97 Issue 1, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

Whole genome sequencing (WGS) is replacing traditional microbiological typing methods for investigation of outbreaks in clinical settings. Here, we used a clinical microbiology laboratory core genome multilocus sequence typing (cgMLST) workflow to analyze 40 isolates of K. pneumoniae which are part of the Antimicrobial Resistance Leadership Group (ARLG) isolate collection, alongside 10 Mayo Clinic K. pneumoniae isolates, comparing results to those of pulsed-field gel electrophoresis (PFGE). Additionally, we used the WGS data to predict phenotypic antimicrobial susceptibility (AST). Thirty-one of 40 ARLG K. pneumoniae isolates belonged to the same PFGE type, all of which, alongside 3 isolates of different PFGE types, formed a large cluster by cgMLST. PFGE and cgMLST were completely concordant for the 10 Mayo Clinic K. pneumoniae isolates. For AST prediction, the overall agreement between phenotypic AST and genotypic prediction was 95.6%. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07328893
Volume :
97
Issue :
1
Database :
Academic Search Index
Journal :
Diagnostic Microbiology & Infectious Disease
Publication Type :
Academic Journal
Accession number :
142719763
Full Text :
https://doi.org/10.1016/j.diagmicrobio.2020.114996