Differentiation of From Group Using a Unique Marker Based on Real-Time PCR.

The efficiency of a novel biomarker (the transcriptional regulator, ) was tested and evaluated in differentiating from group species in environmental and spiked samples based on PCR and real-time PCR. Totally 120 strains, representing two bacterial groups, group and non- sp., were used to evaluate the performance of and crystal protein (2, an existing biomarker). Further, three diverse samples (kimbap, lettuce, and spinach) were inoculated with and prominent biomarkers and 2 were used as targets. Direct analysis of the detection results for the pure cultures of group wild-types, references and type strains revealed an accuracy rate of 97.5% targeting , and 83.3% targeting 2. The real-time PCR was constructed with a -value of 0.993. For the artificially contaminated samples, a concentration of 10 CFU/g of in spiked food samples could be detected using real-time PCR targeting A good performance was obtained with in discriminating from groups, as well as detecting in spiked food samples with PCR or real-time PCR. Therefore, this real-time PCR targeting X can be used as a dependable and promising tool to identify in foods.