Repository of Research and Investigative Information

Repository of Research and Investigative Information

Baqiyatallah University of Medical Sciences

Differentiation of Brucella abortus and B. melitensis biovars using PCR-RFLP and REP-PCR

(2019) Differentiation of Brucella abortus and B. melitensis biovars using PCR-RFLP and REP-PCR. New Microbes and New Infections. p. 7.

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Abstract

Brucellosis is one of the most common zoonotic diseases of animal and human beings. This study aimed to differentiate the Brucella spp. and determines the patterns of biovars by using repetitive element palindromic (REP)-PCR and PCR restriction fragment length polymorphism (RFLP) methods. A total of 100 blood specimens suspected of harbouring brucellosis were collected. Conventional culture methods and multiplex PCR were used for the detection of Brucella genus and species; and REP-PCR was used for Brucella spp. differentiation and polymorphisms sequence analysis. In addition, to identify the biovar patterns of REP-PCR, PCR-RFLP was used. Eighty-three samples were identified as harbouring Brucella spp. by the implementation of multiplex PCR, 72 of which were detected as Brucella melitensis and 11 as B. abortus. Also, through analysing the results of PCR-RFLP, it was found that of 72 B. melitensis samples, 69 were B. melitensis biovar 1 and three species were from other biovars. In addition, the obtained patterns for all of the B. abortus samples were from biovars 3, 5, 6 and 9. This study also optimized a test for the detection of Brucella biovar with the REP-PCR method such that Brucella spp. and biovars could be separated in the shortest possible time. (C) 2019 The Author(s). Published by Elsevier Ltd.

Item Type: Article
Keywords: Brucella abortus B. melitensis Polymorphisms REP PCR PCR RFLP fragment length polymorphism polymerase-chain-reaction human blood spp. identification strains turkey Infectious Diseases Microbiology
Divisions:
Page Range: p. 7
Journal or Publication Title: New Microbes and New Infections
Journal Index: ISI
Volume: 32
Identification Number: https://doi.org/10.1016/j.nmni.2019.100589
Depositing User: مهندس مهدی شریفی
URI: http://eprints.bmsu.ac.ir/id/eprint/2312

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