Identification of Multiple Salmonella Serovars in Food Samples
Because Genome Sequence Scanning is culture independent, and fully automated from sample preparation to final report, the technology greatly reduces the time, complexity and skill required when compared to other molecular and next generation sequencing (NGS) identification approaches. The strain-type information provided by GSS is comparable to pulsed field gel electrophoresis (PFGE), the current standard for pathogen typing in foodborne outbreak investigation and response. As a result, GSS offers a powerful new tool for epidemiological investigations and outbreak monitoring that can enable quicker decisions affecting food safety and public health. The GSS technology will be commercially available in 2014 in the RESOLUTION Microbial Genotyping System.
The research tested the strain typing capability of GSS using more than 400 strains and genome sequences representing the most frequently encountered Salmonella serovars from food products associated with human illness. The results show that Genome Sequence Scanning clustered Salmonella strains into serovar-specific branches on the GSS tree, clearly demarcating the major serovars from each other. Polyphyletic lineage serovars like S. Newport and S. Saintpaul formed more than one distinctly separated branch on the tree, reflecting the genetic heterogeneity within these serovars. GSS assigned correct serovar designations to strains untypeable by conventional serotyping and to antigenic variants of serovars based on genetic similarity. Genome Sequence Scanning also reliably detected the presence of up to three different serovars of Salmonella in the presence of complex background flora, demonstrating the technology's ability to provide strain information directly from complex mixtures.
Tags: Genotyping, Identification, Salmonella, Sample Preparation, Toxins, Automation, Pathogen, Escherichia coli
Date Published: October 21, 2013
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