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首页> 外文期刊>Japanese journal of infectious diseases >Molecular characterization of enterohemorrhagic Escherichia coli O157:H7 isolates dispersed across Japan by pulsed-field gel electrophoresis and multiple-locus variable-number tandem repeat analysis.
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Molecular characterization of enterohemorrhagic Escherichia coli O157:H7 isolates dispersed across Japan by pulsed-field gel electrophoresis and multiple-locus variable-number tandem repeat analysis.

机译:肠出血性大肠杆菌O157:H7分离株的分子特征通过脉冲场凝胶电泳和多位点可变数串联重复分析进行分析。

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摘要

We identified seven distinct subtypes of enterohemorrhagic Escherichia coli (EHEC) O157:H7 isolates that were derived from sporadic cases and outbreaks from multiple prefectures in Japan in 2005. A surveillance system utilizing pulsed-field gel electrophoresis (PFGE), PulseNet Japan, was used. Some strains showed indistinguishable PFGE patterns using another restriction enzyme (BlnI or SpeI) in each subtype of EHEC O157:H7 isolates that were routinely subtyped by the XbaI PFGE pattern. In order to examine the genotypic relatedness of these strains, we carried out a multiple-locus variable-number tandem repeat (VNTR) analysis (MLVA). By using the MLVA system, we found that three of seven subtypes of EHEC O157:H7 strains that were isolated from sporadic cases dispersed across multiple prefectures within a few months showed indistinguishable PFGE patterns and identical MLVA types. Strains belonging to the other four subtypes of EHEC O157:H7 in the PFGE analysis were further classified into different clusters of EHEC O157:H7. Therefore, compared to PFGE, MLVA showed greater discriminatory power with respect to analysis of the isolates in this study.
机译:我们确定了2005年在日本多个县的零星病例和暴发中产生的7种肠出血性大肠杆菌(EHEC)O157:H7分离株。使用了使用脉冲场凝胶电泳(PFGE),PulseNet Japan的监视系统。有些菌株在常规用XbaI PFGE模式亚型的EHEC O157:H7分离株的每个亚型中,使用另一种限制性酶(BlnI或SpeI)显示出无法区分的PFGE模式。为了检查这些菌株的基因型相关性,我们进行了多位点可变数串联重复(VNTR)分析(MLVA)。通过使用MLVA系统,我们发现在几个月内从散布在多个州的零星病例中分离出的EHEC O157:H7菌株的七个亚型中的三个显示出不可区分的PFGE模式和相同的MLVA类型。 PFGE分析中属于EHEC O157:H7其他四个亚型的菌株进一步分类为EHEC O157:H7的不同簇。因此,与PFGE相比,MLVA在此研究中对分离物的分析显示出更大的区分能力。

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