Translatability of WGS typing results can simplify data exchange for surveillance and control of Listeria monocytogenes.

ABSTRACT: Where classical epidemiology has proven to be inadequate for surveillance and control of foodborne pathogens, molecular epidemiology, using genomic typing methods, can add value. However, the analysis of whole genome sequencing (WGS) data varies widely and is not yet fully harmonised. We used genomic data on 494 Listeria monocytogenes isolates from ready-to-eat food products and food processing environments deposited in the strain collection of the German National Reference Laboratory to compare various procedures for WGS data analysis and to evaluate compatibility of results. Two different core genome multilocus sequence typing (cgMLST) schemes, different reference genomes in single nucleotide polymorphism (SNP) analysis and commercial as well as open-source software were compared.

SUBMITTER: Luth S 

PROVIDER: S-EPMC8115905 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature