ArticleDiagnostic microbiology and infectious disease2020
Core genome MLST and resistome analysis of Klebsiella pneumoniae using a clinically amenable workflow.
Article in Diagnostic microbiology and infectious disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Automated whole genome sequencing platform for bacterial strain typing in clinical microbiology laboratories.Journal of clinical microbiology · 2025Article
- High Prevalence of Cefiderocol Resistance Among New Delhi Metallo-β-Lactamase ProducingAntibiotics (Basel, Switzerland) · 2025Article
- Core Genome Multilocus Sequence Typing and Antibiotic Susceptibility Prediction from Whole-Genome Sequence Data of Multidrug-Resistant Pseudomonas aeruginosa Isolates.Microbiology spectrum · 2022Article
- Core Genome Multilocus Sequence Typing and Prediction of Antimicrobial Susceptibility Using Whole-Genome Sequences of Escherichia coli Bloodstream Infection Isolates.Antimicrobial agents and chemotherapy · 2021Article
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Authors and funding
15 authors.
Funding
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%.
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