Assessing the relevance of different sources of variability on the survival of foodborne pathogens: stress adaptation against genetic heterogeneities

Abstract

Microbial risk assessment is crucial for protecting public health and the food supply chain. Sources of variability in microorganisms, such as stress adaptation and genetic heterogeneities, can affect the survival, growth and virulence of microorganisms and their ability to cause disease or food spoilage. There are currently large knowledge gaps regarding variability of the microbial response and understanding it is essential for accurately estimating potential risks and to develop effective control measures. In light of this, this PhD thesis aims to compare and evaluate the importance of stress adaptation and genetic heterogeneities in microorganisms for the survival of bacteria to thermal treatments.Chapter I discusses the thermal inactivation of two Salmonella strains (Salmonella Enteritidis CECT4300 and Salmonella Senftenberg CECT4565) under both isothermal and dynamic conditions. For isothermal treatments, S. Senftenberg was found to be much more resistant than S. Enteritidis (by approximately a factor of 10). We also observed qualitative differences, with the inactivation models used to describe the response of S. Senftenberg were weibullian, while the Bigelow model was successful in describing the isothermal response of S. Enteritidis. Models based on isothermal experiments were able to describe dynamic inactivation of S. Senftenberg, while S. Enteritidis required a dynamic model that considered stress acclimation. The study highlights that, besides quantitative, variability in microbial inactivation is also qualitative. This underlies importance of considering different model hypotheses for both isothermal and dynamic conditions.Chapter II goes further in the thermal inactivation of Salmonella spp. focusing on the importance of phenotypic variability in microbial risk assessment, which refers to the