Institute for Life Technologies, University of Applied Sciences Western Switzerland Valais-Wallis, 1950 Sion 2, Sierre, Switzerland.
Department of Food Hygiene and Quality of Control, Faculty of Veterinary Medicine, University of Tehran, P.O. Box: 14155-6453, Tehran, Iran.
Sci Rep. 2022 Jan 10;12(1):473. doi: 10.1038/s41598-021-04484-1.
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.
志贺氏菌属是一组细胞内食源性病原体,是全世界人类细菌性痢疾和志贺氏菌病的主要病原体。在暴发和食品安全监测系统中确定志贺氏菌的种类至关重要。现有的用于鉴定志贺氏菌属的免疫学和分子方法相对复杂、昂贵且耗时。高分辨率熔解(HRM)分析是一种快速、具有成本效益且易于执行的基于 PCR 的方法,最近已用于区分细菌种类。在这项研究中,我们设计并开发了一种针对 rrsA 基因的 PCR-HRM 检测方法,用于区分从临床和食品样本中分离出的 49 株志贺氏菌属的 4 个种,并评估了该检测方法的灵敏度和特异性。该检测方法对输入 DNA 模板的灵敏度良好,为 0.01-0.1ng,分析特异性为 100%,可区分志贺氏菌属的不同种。PCR-HRM 检测方法还能够正确鉴定临床和食品样本中所有 49 株志贺氏菌属的种。因此,这种快速、用户友好的方法对从自然污染样本中区分志贺氏菌属的种具有良好的灵敏度和特异性,有望在公共卫生和食品安全监测系统中得到实施。