An investigation into the genetic diversity of the food-borne pathogen Campylobacter jejuni using DNA microarrays

Abstract

Despite being the principal bacterial cause of gastroenteritis world wide, the epidemiology of Campylobacter jejuni is poorly understood. This is largely because the proportion of human disease caused by different sources of infection is unknown. In this study a diverse strain collection was selected comprising of 91C. jejuni isolates from diverse animal and environmental ecological niches as well as clinical isolates from patients representing a range of disease outcomes. Whole genome comparisons were performed by DNA microarray analysis with the dual aim of identifying genetic markers specific to strains from different ecological niches and identifying novel virulence determinants. A new phylogenomic technique for the analysis of DNA microarray data was developed combining Bayesian algorithms to model phylogeny based on whole genome data with parsimony based algorithms to identify the key genes contributing to the formations. This method revealed a previously undetected C. jejuni population structure comprising two main clades, a chicken clade and a nonchicken clade. These statistically supported clades differentiated strains from distinct ecological niches with 94% of strains isolated from chickens and 41% of clinical isolates contained within the chicken clade. C. jejuni isolates from ovine, bovine and sand isolates also formed distinct clades within the non-chicken clade. Key genes contributing to the distinction of strains from one ecological niche from another were identified. In particular a putative glycosylation islet cj 1321-cj 1326 was found to be present in strains within the chicken clade but absent or divergent from strains in the non-chicken clade', a result validated by peR screening. This locus represents a potential genetic marker of C. jejuni strains of avian origin. The DNA microarray data analysis method described in this study may be used to study other bacterial pathogens facilitating the identification of bacterial phylogenies and genetic markers associated with specific phenotypes.