Cronobacter species. are foodborne pathogens that cause serious disease in neonates, infants, and adults. Plasmid classification lays the groundwork for understanding the stable coexistence of various extrachromosomal replicons in a single bacterium, and thus the organization of its genome. This study developed a bioinformatics plasmid-search engine to identify genomic attributes contained on Cronobacter plasmids. A database containing 32 Cronobacter plasmid sequences from all seven Cronobacter species was developed. Another database containing 683 draft and closed plasmids and genomes was also developed. Each strain’s plasmid content was sorted into six different categories based on their genetic attributes: virulence, Type-IV, heavy-metal, cryptic, multi-drug resistant, or mobilization. An in-house BLAST+-python script was used to perform a Linux-BLAST analysis to create a formatted %ID output matrix of plasmid genes. This thesis represents the first bioinformatics plasmid-search engine developed for Cronobacter. Understanding the role of plasmids in virulence and persistence underpins future mitigation strategies to be developed for controlling this pathogen
