Lytic Capacity Survey of Commercial Listeria Phage Against Listeria spp. with Varied Genotypic and Phenotypic Characteristics.

Abstract

Listeria monocytogenes is regularly isolated from food processing environments and is endemic in some facilities. Bacteriophage have potential as biocontrol strategies for L. monocytogenes. In this study, the lytic capacity of a commercial Listeria phage cocktail was evaluated against a library of 475 Listeria spp. isolates (426 L. monocytogenes and 49 other Listeria spp.) with varied genotypic and phenotypic characteristics. The lytic capacity of the Listeria phages was measured by spot assays where lysis was scored on a scale of 0-3 (0 = no lysis; 1 = slight lysis; 2 = moderate lysis; 3 = confluent lysis). Only 5% of all tested Listeria spp. isolates, including L. monocytogenes, were either moderately or highly susceptible (score 2 or 3) to lysis by Listeria phage when scores were averaged across temperature and phage concentration; 155 of 5700 treatment (multiplicity of infection [MOI] and temperature) and characteristic (genotype, sanitizer tolerance, and attachment capacity) combinations resulted in confluent lysis (score = 3). Odds ratios for susceptibility to lysis were calculated using multinomial logistic regression. The odds of susceptibility to lysis by phage decreased (p < 0.05) if the L. monocytogenes isolate was previously found to persist or if the phage-bacteria culture was incubated at 30°C; neither isolate persistence or temperature was significant (p ≥ 0.05) when all factors were considered. In addition, lytic efficacy varied (p < 0.05) among pulse field gel electrophoresis (PFGE) pulsotypes and may be affected by host MOI (p < 0.05). There was no effect (p > 0.05) of attachment capacity or sanitizer tolerance on phage susceptibility. This study underscores the complexity of using Listeria phage as a biocontrol for Listeria spp. in food processing facilities and highlights that phage susceptibility is most greatly impacted by genotype. Further studies are needed to evaluate these findings within a processing environment.