Use of WGS to detect persistent strains of Listeria monocytogenes

The aim of this study is to characterize isolated strains from a bakery industry using WGS seeking to identify persistent strains and to uncover genomic features that may underlie their ability to persist. With the sequenced isolate we have determine MLST and core genome MLST types. Loci encoding genes associated with virulence, antibiotic resistance, metal and disinfectant resistance, stress response islands, Listeria genomic islands, and the sigB operon were identified were assessed.