Applying advanced predictive microbiology techniques to static and dynamic growth studies of .

This project, titled 'Listeria Control,' aimed to advance expertise across Europe in applying predictive microbiology to shelf-life studies of in ready-to-eat (RTE) products. By increasing the capacity of the two participating organisations in predictive microbiology, this initiative strengthens Europe's overall ability to manage and mitigate the risk of in RTE foods. The project's first experimental phase involved experimental trials that examined the growth of under both constant and dynamic temperature conditions.

characterization and genome sequencing of two novel lytic phages against Infantis isolated from poultry feces.

Introduction: spp. is the second most common bacteria associated with foodborne gastrointestinal outbreaks in humans, with the highest contamination levels in meat, especially poultry. subsp.

Integrative analysis of transcriptomic and immunoproteomic data reveals stress response mechanisms in .

is a significant concern in the food industry due to its association with outbreaks of listeriosis, particularly affecting vulnerable populations. High-throughput technologies such as RNA sequencing (RNA-seq) and proteomics offer valuable insights into the molecular responses of to stress environments. In this study, a combined transcriptomic and immunoproteomic approach was applied to explore the stress response mechanisms of the strain ST7, which was responsible for an outbreak in central Italy.

Adaptive strategies of Listeria monocytogenes: An in-depth analysis of the virulent strain involved in an outbreak in Italy through quantitative proteomics.

Despite the general classification of L. monocytogenes strains as equally virulent by global safety authorities, molecular epidemiology reveals diverse subtypes in food, processing environments, and clinical cases. This study focuses on a highly virulent strain associated with a listeriosis outbreak in Italy in 2022, providing insights through comprehensive foodomics approaches, with a specific emphasis on quantitative proteomics.