Application of next-generation sequencing to investigate a Serratia marcescens outbreak in a neonatal intensive care

Michela Bulfoni1,2,3, Nicolò Gualandi4, Beatrice Krpan5

  • 1Department of Medicine, University of Udine, Udine, Italy. michela.bulfoni@uniud.it.

Abstract

Insights

Next-Generation Sequencing (NGS) identified close genetic links between Serratia marcescens strains in a Neonatal Intensive Care Unit (NICU), revealing potential transmission routes and informing infection control.

Area of Science:

  • Microbiology
  • Genomics
  • Infectious Disease Epidemiology

Background:

  • Nosocomial infections in Neonatal Intensive Care Units (NICUs) pose significant risks to vulnerable infants.
  • Serratia marcescens is a key opportunistic pathogen contributing to NICU-related morbidity and mortality.
  • Next-Generation Sequencing (NGS) offers advanced capabilities for microbial surveillance and outbreak investigation.

Purpose of the Study:

  • To develop and validate a mapping-based bioinformatics pipeline for strain typing and phylogenetic analysis of Serratia marcescens.
  • To investigate the genomic relatedness of S. marcescens isolates from patients and the environment within a NICU setting.
  • To assess the utility of NGS in understanding microbial transmission dynamics and informing infection control strategies.

Main Methods:

  • Retrospective analysis of 18 Serratia marcescens isolates from patients and environmental swabs collected in a NICU.
  • Whole Genome Sequencing (WGS) using Illumina MiSeq platform.
  • Development and application of a custom, validated bioinformatics pipeline for Single Nucleotide Polymorphism (SNP)-based phylogenetic analysis.

Main Results:

  • Whole Genome Sequencing (WGS) elucidated phylogenetic relationships among the S. marcescens strains.
  • Six isolates exhibited high genetic relatedness, indicating a potential clonal cluster.
  • Identical genotypes were found in strains from patient samples (blood, rectal swabs) and environmental sources, suggesting transmission pathways.

Conclusions:

  • NGS provides high-resolution insights into the molecular epidemiology of NICU infections and colonizations.
  • Genomic data supports real-time, evidence-based adjustments to infection control protocols.
  • This approach enhances patient safety and aids in the prevention of healthcare-associated outbreaks.