ArticleJundishapur journal of microbiology2015
Characterization of Leptospira interrogans Serovars by Polymorphism Variable Number Tandem Repeat Analysis.
Article in Jundishapur journal of microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 6 citations in OpenAlex.
- Comprehensive genotyping and taxonomic analysis uncovers extensive distribution of intermediate Leptospira species in Colombia.World journal of microbiology & biotechnology · 2026Article
- Molecular typing and seroepidemiology of pathogenicIranian journal of veterinary research · 2025Article
- Culture-Independent Detection and Identification ofMicrobiology spectrum · 2022Article
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6 authors at 5 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundLeptospirosis is recognized as a re-emerging infectious disease; therefore, understanding the epidemiology of the disease is vital for designing intervention programs and diminishing its transmission. Recently, Multilocus variable number tandem repeat analysis (MLVA) is used for segregating and identifying Leptospira serovars. The method has potential application in investigating the molecular epidemiology of Leptospira.
objectivesThe propose of this study was genomic identification of pathogenic Leptospires in Iran by MLVA. MATERIALS AND
methodsLeptospira serovars were obtained from National Reference Laboratory of Leptospira at Razi Vaccine and Serum Research Institute, Karaj, Iran. Serovars were cultured into the liquid EMJH medium and incubated at 28˚C for 7 days. DNA of serovars was extracted using the phenol-chloroform method. PCR was performed with 5 selected variable number tandem repeat analysis (VNTR) loci. The amplified products were analyzed by agarose gel electrophoresis. The size of the amplified products was estimated by 100 bp ladder and sequencing analysis.
resultsThe saprophytic serovar showed no amplified fragments. PCR products in all pathogenic serovars were observed. The 12 reference serovars used for the development of technique displayed distinct patterns.
conclusionsResults showed that MLVA technique with its range of polymorphism is a good marker for identification of pathogenic serovars. Some VNTR loci are more powerful than the other ones with regard to differentiation. Serovars from the same geographical area have more genetic similarity than same serovars from different places. MLVA is a suitable technique for epidemiological survey.
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