The characterization of pathogenic bacteria by providing information regarding the identification and source-tracking of the causes of outbreaks is vital for the epidemiological investigations of foodborne diseases. The knowledge of transmission of Listeria monocytogenes (L. monocytogenes) strains from the environment, directly or indirectly (through food processing facilities) to the final food products, due to the complexity of evaluating numerous, affecting parameters is quite limited. The food trade globalization also adds difficulties in tracking the association between the infection occurrence and causative pathogens, aiming to prevent their spread. The occurrence of listeriosis, a notifiable disease throughout the world, can either be sporadic or outbreak-related. Due to the importance of foodborne outbreaks from a public health aspect and its correspondence enormous economic losses, cross-linked surveillance studies regarding the contamination of foods by L. monocytogenes, besides identifying clusters and tracing the sources of infections on an international-scale to prevent and control L. monocytogenes outbreaks sounds very crucial. Contrary to the conventional typing methods, molecular-based techniques, such as whole-genome sequencing, owing to the capacity to discriminate L. monocytogenes strains down to single nucleotide differences, provide an accurate characterization of strains and tracking the causes of outbreaks. However, routinely using molecular-based methods depends on the required improvements in the affordability, proper timing, and preparing reliable, standardized bioinformatics facilities. This work was conducted to critically review the practical potential of diverse typing methods have been used for the characterization of L. monocytogenes and discuss how they might change the future of efforts for control of listeriosis.
Keywords: Bioinformatics; L. monocytogenes; listeriosis; outbreak investigation; typing.