Epidemiological Typing of Serratia marcescens Isolates by Whole-Genome Multilocus Sequence Typing

John W A Rossen1, Jill Dombrecht2, Diederik Vanfleteren2

  • 1University of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, The Netherlands.

Insights

A new whole-genome multilocus sequence typing (wgMLST) method aids in tracking Serratia marcescens. This tool helps monitor the spread of this opportunistic pathogen, crucial for infection control in neonatal intensive care units (NICUs).

Area of Science:

  • Microbiology
  • Genomics
  • Epidemiology

Background:

  • Serratia marcescens is an opportunistic pathogen known for antimicrobial resistance.
  • It frequently causes outbreaks in neonatal intensive care units (NICUs), necessitating rapid infection control.
  • Molecular typing is essential for understanding and controlling the spread of S. marcescens.

Purpose of the Study:

  • To develop and validate a whole-genome multilocus sequence typing (wgMLST) method for Serratia marcescens.
  • To establish a reliable tool for molecular typing to aid in epidemiological surveillance and containment.

Main Methods:

  • Development of a wgMLST system using 9,377 gene loci from 299 public whole-genome sequences (WGS).
  • Validation of the system with 111 clinical isolates from nosocomial dissemination events across three hospitals.
  • Determination of an allele cutoff for epidemiological relatedness.

Main Results:

  • The developed wgMLST system accurately matched epidemiological data with molecular analyses.
  • A cutoff of 20 different alleles was established for epidemiological (non)relatedness.
  • Outbreak-associated isolates typically differed by only 4 alleles, demonstrating high discriminatory power.

Conclusions:

  • The novel wgMLST method provides a robust tool for monitoring Serratia marcescens.
  • This system holds significant promise for the future epidemiological containment of this opportunistic pathogen.
  • Effective surveillance using wgMLST can enhance infection control strategies, particularly in vulnerable settings like NICUs.

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