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


Journal

Diagnostic microbiology and infectious disease
ISSN: 1879-0070
Titre abrégé: Diagn Microbiol Infect Dis
Pays: United States
ID NLM: 8305899

Informations de publication

Date de publication:
May 2020
Historique:
received: 07 11 2019
revised: 13 01 2020
accepted: 16 01 2020
pubmed: 27 2 2020
medline: 11 11 2020
entrez: 27 2 2020
Statut: ppublish

Résumé

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%.

Identifiants

pubmed: 32098688
pii: S0732-8893(19)31118-6
doi: 10.1016/j.diagmicrobio.2020.114996
pmc: PMC7422488
mid: NIHMS1569834
pii:
doi:

Substances chimiques

Anti-Bacterial Agents 0
beta-Lactamases EC 3.5.2.6

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

114996

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI100560
Pays : United States
Organisme : NIAID NIH HHS
ID : UM1 AI104681
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI072219
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI063517
Pays : United States
Organisme : BLRD VA
ID : I01 BX001974
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

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Auteurs

Madiha Fida (M)

Division of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, MN. Electronic address: fida.madiha@mayo.edu.

Scott A Cunningham (SA)

Division of Clinical Microbiology, Mayo Clinic, Rochester, MN.

Matthew P Murphy (MP)

Division of Clinical Microbiology, Mayo Clinic, Rochester, MN.

Robert A Bonomo (RA)

Louis Stokes Cleveland Department of Veteran Affairs Medical Center, Cleveland, OH; Department of Medicine, Case Western Reserve University, Cleveland, OH; Departments of Pharmacology, Biochemistry, Molecular Biology and Microbiology, and the Center for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, OH, and CWRU-Cleveland VAMC Center for Antimicrobial Resistance and Epidemiology (Case VA CARES), Cleveland, OH.

Kristine M Hujer (KM)

Louis Stokes Cleveland Department of Veteran Affairs Medical Center, Cleveland, OH; Department of Medicine, Case Western Reserve University, Cleveland, OH.

Andrea M Hujer (AM)

Louis Stokes Cleveland Department of Veteran Affairs Medical Center, Cleveland, OH; Department of Medicine, Case Western Reserve University, Cleveland, OH.

Barry N Kreiswirth (BN)

Public Health Research Institute, Rutgers University, Newark, NJ.

Nicholas Chia (N)

Center for Individualized Medicine, Mayo Clinic, Rochester, MN; Department of Surgery, Mayo Clinic, Rochester, MN.

Patricio R Jeraldo (PR)

Center for Individualized Medicine, Mayo Clinic, Rochester, MN; Department of Surgery, Mayo Clinic, Rochester, MN.

Heidi Nelson (H)

Center for Individualized Medicine, Mayo Clinic, Rochester, MN; Department of Surgery, Mayo Clinic, Rochester, MN.

Nicole M Zinsmaster (NM)

Division of Clinical Microbiology, Mayo Clinic, Rochester, MN.

Nikhil Toraskar (N)

OpGen Inc, Gaithersburg, MD.

Weizhong Chang (W)

OpGen Inc, Gaithersburg, MD.

Robin Patel (R)

Division of Infectious Diseases, Department of Medicine, Mayo Clinic, Rochester, MN; Division of Clinical Microbiology, Mayo Clinic, Rochester, MN.

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Classifications MeSH