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Development and implementation of a core genome multilocus sequence typing scheme for Yersinia enterocolitica: a tool for surveillance and outbreak detection.
Pires, Joao; Brandal, Lin T; Naseer, Umaer.
Affiliation
  • Pires J; Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway.
  • Brandal LT; ECDC Fellowship Programme, Public Health Microbiology path (EUPHEM), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
  • Naseer U; Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway.
J Clin Microbiol ; 62(8): e0004024, 2024 Aug 14.
Article in En | MEDLINE | ID: mdl-38990041
ABSTRACT
Yersinia enterocolitica (Y. enterocolitica) is the most frequent etiological agent of yersiniosis and has been responsible for several national outbreaks in Norway and elsewhere. A standardized high-resolution method, such as core genome Multilocus Sequence Typing (cgMLST), is needed for pathogen traceability at the national and international levels. In this study, we developed and implemented a cgMLST scheme for Y. enterocolitica. We designed a cgMLST scheme in SeqSphere + using high-quality genomes from different Y. enterocolitica biotype sublineages. The scheme was validated if more than 95% of targets were found across all tested Y. enterocolitica 563 Norwegian genomes collected between 2012 and 2022 and 327 genomes from public data sets. We applied the scheme to known outbreaks to establish a threshold for identifying major complex types (CTs) based on the number of allelic differences. The final cgMLST scheme included 2,582 genes with a median of 97.9% (interquartile range 97.6%-98.8%) targets found across all tested genomes. Analysis of outbreaks identified all outbreak strains using single linkage clustering at four allelic differences. This threshold identified 311 unique CTs in Norway, of which CT18, CT12, and CT5 were identified as the most frequently associated with outbreaks. The cgMLST scheme showed a very good performance in typing Y. enterocolitica using diverse data sources and was able to identify outbreak clusters. We recommend the implementation of this scheme nationally and internationally to facilitate Y. enterocolitica surveillance and improve outbreak response in national and cross-border outbreaks.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Yersinia enterocolitica / Yersinia Infections / Disease Outbreaks / Genome, Bacterial / Multilocus Sequence Typing Limits: Humans Country/Region as subject: Europa Language: En Journal: J Clin Microbiol Year: 2024 Document type: Article Affiliation country: Norway

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Yersinia enterocolitica / Yersinia Infections / Disease Outbreaks / Genome, Bacterial / Multilocus Sequence Typing Limits: Humans Country/Region as subject: Europa Language: En Journal: J Clin Microbiol Year: 2024 Document type: Article Affiliation country: Norway