Brucellosis is one of the most prevalent zoonotic diseases among animals and humans. It is a well known fact that the differentiation and rapid typing of Brucella spp. is crucial for the early detection of infection, prevention of infection progress, and/or introducing treatment solutions. Analyzing the sequences could be an effective method in achieving these purposes. The aim of this study was to analyze palindromic sequences for Brucella spp., differentiation using the rep-PCR method. The authors collected 80 animal samples, which were suspected to brucellosis infection. After the cultivation of Brucella, identification was performed through standard biochemical, microbiological, and IS711 PCR assays. By designing the specific primers for polymorphism sequence, the rep-PCR was performed. The resultant pattern was compared with the obtained patterns of the standard Brucella melitensis and Brucella abortus samples, which showed dissimilar patterns. For this reason, the PCR products were sequenced, and consequently two new patterns were introduced. This rapid and repeatability assay has the ability to potentially differentiate the B. abortus and B. melitensis species, which could be useful in early diagnosis and treatment of patients with brucellosis.
aDepartment of Biotechnology, Faculty of Paramedicine, Iran University of Medical Science, Tehran
bSchool of Medicine, Islamic Azad University, Tonekabon Branch, Tonekabon
cDepartment of Microbiology
dStudent Research Committee, Iran University of Medical Sciences, Tehran
eDepartment of Microbiology
fBrucellosis Research Center, Hamadan University of Medical Sciences, Hamadan
gMolecular Biology Research Center, Systems Biology and Poisoning Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Correspondence to Reza Mirnejad, Molecular Biology Research Center, Systems Biology and Poisoning Institute, Baqiyatallah University Medical of Sciences, Tehran, Iran. Tel: +98 21 82482554; e-mail: email@example.com; firstname.lastname@example.org
Received 19 September, 2018
Revised 12 December, 2018
Accepted 10 January, 2019