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Simultaneous Identification of Clinically Common Serotypes Using Probe Melting Curve Analysis. | LitMetric

The dynamic nature of epidemiology has presented a unique challenge for disease intervention strategies. Despite the continued rise of disease incidence and outbreaks of vibriosis, as well as the global emergence of pandemic clones and serovariants with enhanced virulence, there is a paucity of molecular methods for the serotyping of strains to improve disease surveillance and outbreak investigations. We describe the development of a multiplex ligation reaction based on probe melting curve analysis (MLMA) for the simultaneous identification of 11 clinically most common serotypes spanning a 10-year period. Through extensive sequence analyses using 418 genomes, specific primers and probes were designed for a total of 22 antigen gene targets for the O- and K- serogroups. Additionally, the gene was incorporated into the assay for the confirmation of . All gene targets were detected by the assay and gave expected Tm values, without any cross reactions between the 11 clinically common serotypes or with 38 other serotypes. The limit of identification for all gene targets ranged from 0.1 to 1 ng/μL. The intra- and inter-assay standard deviations and the coefficients of variation were no more than 1°C and <1% respectively, indicating a highly reproducible assay. A multicenter double-blind clinical study was conducted using the traditional identification workflow and the MLMA assay workflow in parallel. From consecutive diarrheal stool specimens ( = 6118) collected over a year at 10 sentinel hospitals, a total of 153 isolates (2.5%) were identified by both workflows. A total agreement (kappa = 1.0) between the serotypes identified by the MLMA assay and conventional serological method was demonstrated. This is the first molecular assay to simultaneously identify multiple clinically important serotypes, which satisfies the acute need for a practical, rapid and robust identification of serotypes to facilitate the timely detection of vibriosis outbreaks and surveillance.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868019PMC
http://dx.doi.org/10.3389/fcimb.2019.00385DOI Listing

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