Repository of Research and Investigative Information

Repository of Research and Investigative Information

Baqiyatallah University of Medical Sciences

Molecular Typing of Uropathogenic Escherichia coli Strains Isolated from Patients by REP-PCR

(2017) Molecular Typing of Uropathogenic Escherichia coli Strains Isolated from Patients by REP-PCR. Sovremennye Tehnologii V Medicine. pp. 71-75. ISSN 2076-4243

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Abstract

The aim of the investigation was to determine the correlation between genetic patterns and strains of Escherichia coli (E. coli) and to evaluate the genetic diversity of E. coli strains isolated from patients admitted to Baqiyatallah Hospital, using the method of repetitive extragenic palindromic sequence polymerase chain reaction (REP-PCR). Materials and Methods. A total of 100 E. coli strains collected from the samples of patients with urinary tract infections were studied. E. coli strains were identified and isolated by the standard bacteriological methods and their DNAs were extracted. The REP-PCR method with REP1R primer was used to type isolated strains. Results. Ninety-eight out of 100 E. coli strains were typable and 2 strains were non-typable. Dendrogram showed that the isolated strains were differentiated by REP-PCR into 7 REP clusters (R1-R7) with 70 similarity. The highest number of strains was found in cluster R4 (22 strains) and this number was the lowest in cluster R3 (7 strains). Conclusion. In Iran, the REP-PCR method has not been used for studying uropathogenic E. coli strains. This technique has shown high differential accuracy in our investigation. E. coli strains have been found to comprise various distinct clones which show the genetic diversity of bacteria in the patients studied.

Item Type: Article
Keywords: uropathogenic E. coli molecular typing REP-PCR urinary-tract-infection bacterial virulence water prevalence iran Research & Experimental Medicine
Divisions:
Page Range: pp. 71-75
Journal or Publication Title: Sovremennye Tehnologii V Medicine
Journal Index: ISI
Volume: 9
Number: 3
Identification Number: https://doi.org/10.17691/stm2017.9.3.09
ISSN: 2076-4243
Depositing User: مهندس مهدی شریفی
URI: http://eprints.bmsu.ac.ir/id/eprint/4647

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