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Semi-quantitative evaluation of Babesia bovis and B. bigemina infection levels estimated by HRM analysis. | LitMetric

AI Article Synopsis

  • Bovine babesiosis, particularly caused by Babesia bovis, poses significant economic threats to cattle globally due to its high pathogenicity.
  • This study developed a new method combining real-time PCR and high-resolution melting (HRM) analysis for simultaneous detection and semi-quantitative assessment of B. bovis and B. bigemina from a single sample.
  • The HRM method demonstrated high sensitivity in differentiating both species and offers a practical alternative for estimating infection prevalence in cattle without needing complex calibration, aiding better disease management across regions.

Article Abstract

Bovine babesiosis is economically the most important arthropod-borne disease of cattle worldwide. The most significant damage caused by bovine babesiosis is attributed to Babesia bovis due to its higher pathogenicity. This study aimed to develop a real-time PCR method followed by HRM (high-resolution melting) analysis for the simultaneous detection of B. bovis and B. bigemina, enabling a semi-quantitative analysis of Babesia levels using a single-tube reaction. The HRM was compared with real-time PCR using species-specific hydrolysis probes. The HRM analysis allowed to differentiate both Babesia species and was sensitive in the detection and differentiation of 10% for each Babesia species in the sample. Our results suggest the use of this method to estimate the prevalence of infections by B. bovis or B. bigemina as an alternative to the methods of absolute quantification by real-time PCR since it neither requires precise estimates of the number of DNA loads nor the construction of calibration curves. The simultaneous detection of the two Babesia species can be used to characterise the infection levels in cattle populations from different geographical regions, allowing a better control of these diseases.

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Source
http://dx.doi.org/10.1016/j.ttbdis.2021.101753DOI Listing

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