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DOI 10.1038/s41598-021-04484-1

Медицинская библиотека · Scientific reports · 2022

Development of high-resolution melting (HRM) assay to differentiate the species of Shigella isolates from stool and food samples.

Pakbin Babak, Basti Afshin Akhondzadeh, Khanjari Ali, Brück Wolfram Manuel, Azimi Leila, Karimi Abdollah

Оценочное исследованиеСтатьяПеревод в очереди

Аннотация

Shigella species, a group of intracellular foodborne pathogens, are the main causes of bacillary dysentery and shigellosis in humans worldwide. It is essential to determine the species of Shigella in outbreaks and food safety surveillance systems. The available immunological and molecular methods for identifying Shigella species are relatively complicated, expensive and time-consuming. High resolution melting (HRM) assay is a rapid, cost-effective, and easy to perform PCR-based method that has recently been used for the differentiation of bacterial species. In this study, we designed and developed a PCR-HRM assay targeting rrsA gene to distinguish four species of 49 Shigella isolates from clinical and food samples and evaluated the sensitivity and specificity of the assay. The assay demonstrated a good analytical sensitivity with 0.01-0.1 ng of input DNA template and an analytical specificity of 100% to differentiate the Shigella species. The PCR-HRM assay also was able to identify the species of all 49 Shigella isolates from clinical and food samples correctly. Consequently, this rapid and user-friendly method demonstrated good sensitivity and specificity to differentiate species of the Shigella isolates from naturally contaminated samples and has the potential to be implemented in public health and food safety surveillance systems.

Для цитирования: Pakbin Babak, Basti Afshin Akhondzadeh, Khanjari Ali, Brück Wolfram Manuel, Azimi Leila, Karimi Abdollah. Development of high-resolution melting (HRM) assay to differentiate the species of Shigella isolates from stool and food samples.. Scientific reports. 2022. DOI: 10.1038/s41598-021-04484-1.

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