Abstract

Background: It is of great importance to quickly and accurately detect Brucella abortus and Brucella melitensis from clinical and non-clinical samples because of their high prevalence and high risk in causing brucellosis, a life-threating infectious disease affecting both humans and animals. Methods: The current study describes a new method for the detection of brucellosis in clinical samples using realtime polymerase chain reaction (PCR) and high-resolution melt (HRM) curve analysis. This study was conducted on 70 human and 55 animal isolates with more than 1/80 serum antibody titers. Additionally, the accuracy and specificity of the methods were compared. Results: The mean range cycles threshold +/- standard deviation (C-T +/- SD) for the amplified samples was 15.39-25.15 by real-time PCR. The melting peak range (degrees C) +/- SD for B. abortus and B. melitensis was 90.10 +/- 0.4 and 89.70 +/- 0.4, respectively, and 10 was reported on peak height. Conclusions: The results of HRM analysis can be used for species differentiation and bacterial genotyping according to nucleotide polymorphism. This molecular method could help in diagnosing Brucella quickly and precisely. Quick recognition of Brucella species could decrease its prevalence among humans and animals and mitigate economic loss.