Ranjbar Reza, Ahmadi Mitra, Memariani Mojtaba
Molecular Biology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Department of Microbiology, Islamic Azad University, Damghan Branch, Damghan, Iran.
Microb Pathog. 2016 Nov;100:299-304. doi: 10.1016/j.micpath.2016.10.012. Epub 2016 Oct 18.
Salmonella is an important cause of food-borne infection worldwide. Detection of outbreaks caused by Salmonella spp. relies on suitable and robust methods for genotyping. Little is known about the genetic diversity of the Salmonella enterica subspecies enterica serotype Infantis strains isolated from human sources in Iran. In this study, 40 isolates of S. Infantis, which were previously recovered from patients with gastroenteritis or diarrhea in Tehran between years 2007 and 2009, were subjected to multiple-locus variable-number of tandem repeat (VNTR) analysis (MLVA), pulsed-field gel electrophoresis (PFGE), and ERIC-PCR. Using MLVA method, 31 types were identified. The MLVA clustering of the isolates by the unweighted pair group method with arithmetic mean (UPGMA) revealed the presence of two major clusters. The discriminatory power of MLVA was superior to that of PFGE and ERIC-PCR. Overall, our data showed that MLVA assay could effectively differentiate closely related strains. It is technically simple and inexpensive to perform. Furthermore, MLVA can be used as a helpful method for epidemiological investigations.
沙门氏菌是全球食源性感染的重要病因。沙门氏菌属引起的疫情检测依赖于合适且可靠的基因分型方法。关于从伊朗人类来源分离出的肠炎沙门氏菌亚种肠炎血清型婴儿沙门氏菌菌株的遗传多样性，人们了解甚少。在本研究中，对2007年至2009年间先前从德黑兰肠胃炎或腹泻患者中分离出的40株婴儿沙门氏菌菌株进行了多位点可变数目串联重复序列（VNTR）分析（MLVA）、脉冲场凝胶电泳（PFGE）和ERIC-PCR。使用MLVA方法，鉴定出31种类型。通过算术平均非加权对组法（UPGMA）对分离株进行的MLVA聚类显示存在两个主要聚类。MLVA的鉴别能力优于PFGE和ERIC-PCR。总体而言，我们的数据表明MLVA分析可以有效区分密切相关的菌株。它在技术上简单且执行成本低。此外，MLVA可作为流行病学调查的有用方法。
