Tracking clonal and plasmid transmission in colistin- and carbapenem-resistant Klebsiella pneumoniae

Ifeoluwa Akintayo, Marko Siroglavic, Daria Frolova, Mabel Budia Silva, Hajo Grundmann, Zamin Iqbal, Ana Budimir, Sandra Reuter

Research output: Contribution to journalArticlepeer-review

Abstract

The surveillance of mobile genetic elements facilitating the spread of antimicrobial resistance genes has been challenging. Here, we tracked both clonal and plasmid transmission in colistin- and carbapenem-resistant Klebsiella pneumoniae using short- and long-read sequencing technologies. We observed three clonal transmissions, all containing Incompatibility group (Inc) L plasmids and New Delhi metallo-beta-lactamase blaNDM-1, although not co-located on the same plasmid. One IncL-blaNDM-1 plasmid had been transferred between sequence type (ST) 392 and ST15, and the promiscuous IncL-blaOXA-48 plasmid was likely shared between a singleton and a clonal transmission of ST392. Plasmids within clonal outbreaks and between clusters and STs had 0–2 single nucleotide polymorphism (SNP) differences, showing high stability upon transfer to same or different STs. The simplest explanation, without a comprehensive analysis with long-read sequencing, would be the spread of a single common IncL-blaNDM-1 plasmid. However, here, we report blaNDM-1 in five different plasmids, emphasizing the need to investigate plasmid-mediated transmission for effective containment of outbreaks.

Original languageEnglish
Article numbere01128-24
JournalmSystems
Volume10
Issue number2
Early online date10 Jan 2025
DOIs
Publication statusPublished - 18 Feb 2025

Data Availability Statement

Sequencing data were deposited under ENA project PRJEB76496.

Keywords

  • carbapenem resistance
  • colistin resistance
  • Klebsiella pneumoniae
  • plasmid analysis
  • transmission
  • whole-genome sequencing

ASJC Scopus subject areas

  • Microbiology
  • Physiology
  • Biochemistry
  • Ecology, Evolution, Behavior and Systematics
  • Modelling and Simulation
  • Molecular Biology
  • Genetics
  • Computer Science Applications

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