The BioNumerics® software suite (Applied Maths) was used to analyze a data set of 190 pathogenic E. coli strains from the Centers for Disease Control and Prevention (CDC). Clustering of related strains was performed using patterns generated by PFGE and whole genome sequence data included in the CDC data set, and GSS fingerprints, PathoGenetix’s proprietary technology used in the RESOLUTION™ Microbial Genotyping System. For the set of E. coli isolates tested, the analysis shows a remarkably high congruence between the GSS groupings and WGS groupings, while maintaining a good concordance with the PFGE groupings. With respect to WGS, the GSS groupings also turn out to be more discriminatory than the PFGE groupings.
The RESOLUTION System can work from a mixed sample and does not require the preparation of a cultured isolate, as is the case with whole genome sequencing and PFGE, and provides strain type and serotype results in less than five hours.
The collaborative research is detailed in a poster presented yesterday at the InFORM 2013 meeting being held this week in San Antonio, Texas. InFORM meetings are designed to coordinate and enhance the work of microbiologists, epidemiologists and environmental health specialists focused on foodborne disease surveillance, outbreak detection and response. The meeting is sponsored by the CDC, the Association of Public Health Laboratories (APHL), the U.S. Department of Agriculture Food Safety and Inspection Service (FSIS), and the Food and Drug Administration (FDA), and integrates the separate PulseNet and OutbreakNet annual meetings held in previous years.