Assessing phenotypic virulence of Salmonella enterica across serovars and sources.

ABSTRACT:

Introduction

Whole genome sequencing (WGS) is increasingly used for characterizing foodborne pathogens and it has become a standard typing technique for surveillance and research purposes. WGS data can help assessing microbial risks and defining risk mitigating strategies for foodborne pathogens, including Salmonella enterica.

Methods

To test the hypothesis that (combinations of) different genes can predict the probability of infection [P(inf)] given exposure to a certain pathogen strain, we determined P(inf) based on invasion potential of 87 S. enterica strains belonging to 15 serovars isolated from animals, foodstuffs and human patients, in an in vitro gastrointestinal tract (GIT) model system. These genomes were sequenced with WGS and screened for gen

SUBMITTER: Petrin S 

PROVIDER: S-EPMC10279978 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature