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J Clin Microbiol. 2019 Feb 6. pii: JCM.01652-18. doi: 10.1128/JCM.01652-18. [Epub ahead of print]

EPIDEMIOLOGICAL TYPING OF SERRATIA MARCESCENS BY WHOLE GENOME MULTI-LOCUS SEQUENCE TYPING.

Author information

1
University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Mail Code EB80, Hanzeplein 1, 9713 GZ Groningen, The Netherlands.
2
bioMérieux, Data Analytics Department, Applied Maths NV, Keistraat 120, 9830 St-Martens-Latem, Belgium.
3
bioMérieux, Data Analytics Department, 3 Route de Port Michaud, 38390 La Balme Les Grottes, France. alex.vanbelkum@biomerieux.com.
4
Medical Center - University of Freiburg, Faculty of Medicine, Institute for Infection Prevention and Hospital Epidemiology, Breisacher Str. 115 B, 79106 Freiburg, Germany.
5
Institute for Medical Microbiology, Immunology and Hygiene, University of Cologne, Goldenfelsstrasse 19-21, 50935 Köln, Germany.
6
German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Germany.

Abstract

Serratia marcescens is an opportunistic bacterial pathogen. It is notorious for its increasing antimicrobial resistance and its potential to cause outbreaks of colonization and infections predominantly in neonatal intensive care units (NICUs). There, its spread requires rapid infection control response. In order to understand its spread, detailed molecular typing is key. We present a whole genome multi-locus sequence typing (wgMLST) method for S. marcescens Using a set of 299 publicly available whole genome sequences (WGS) we developed an initial wgMLST system consisting of 9377 gene loci. This included 1455 loci occurring in all reference genomes and 7922 accessory loci. This closed system was validated using three geographically diverse collections of S. marcescens consisting of 111 clinical isolates implicated in nosocomial dissemination events in three hospitals. The validation procedure showed a full match between epidemiological data and the wgMLST analyses. We set the cut-off value for epidemiological (non-)relatedness at 20 different alleles, although for the majority of outbreak-clustered isolates this difference was limited to 4 alleles. This shows that the wgMLST system for S. marcescens provides prospects of successful future monitoring for the epidemiological containment of this opportunistic pathogen.

PMID:
30728192
DOI:
10.1128/JCM.01652-18

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