Unknown

Dataset Information

High density genomic surveillance and risk profiling of clinical Listeria monocytogenes subtypes in Germany.


ABSTRACT:

Background

Foodborne infections such as listeriosis caused by the bacterium Listeria monocytogenes represent a significant public health concern, particularly when outbreaks affect many individuals over prolonged time. Systematic collection of pathogen isolates from infected patients, whole genome sequencing (WGS) and phylogenetic analyses allow recognition and termination of outbreaks after source identification and risk profiling of abundant lineages.

Methods

We here present a multi-dimensional analysis of > 1800 genome sequences from clinical L. monocytogenes isolates collected in Germany between 2018 and 2021. Different WGS-based subtyping methods were used to determine the population structure with its main phylogenetic sublineages as well as for identification of disea

SUBMITTER: Halbedel S 

PROVIDER: S-EPMC11457394 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature