Development and Application of a Multiplex qPCR Rapid Detection System for Syndromic Detection of Tick-Borne Pathogen

Bo Yi1,2,3, Ming-Qiu Fan3, Si-Yi Zhao4

  • 1Department of Medical Microbiology and Parasitology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.

Microorganisms
|July 28, 2026
PubMed

Insights

A new multiplex quantitative polymerase chain reaction (qPCR) assay can rapidly detect multiple tick-borne pathogens simultaneously. This technology enhances surveillance for complex coinfections in affected regions.

Area of Science:

  • Veterinary Entomology
  • Molecular Diagnostics
  • Infectious Diseases

Background:

  • Polymicrobial coinfections transmitted by Ixodidae ticks are a growing global health concern.
  • Current detection methods struggle with concurrent identification of multiple tick-borne pathogens.
  • Accurate and rapid diagnostics are crucial for managing tick-borne disease burdens.

Purpose of the Study:

  • To develop and validate a multiplex quantitative polymerase chain reaction (qPCR) assay for simultaneous detection of key tick-borne pathogens.
  • To evaluate the assay's performance against conventional methods using field-collected tick samples.

Main Methods:

  • Engineered a multiplex qPCR assay targeting Spotted Fever Group Rickettsiae (SFGR), Babesia microti, severe fever with thrombocytopenia syndrome virus, and Anaplasma phagocytophilum.
  • Assessed assay sensitivity, quantification, and accuracy using plasmid standards and 2050 field-collected ticks.
  • Benchmarked performance against established conventional PCR assays.

Main Results:

  • Achieved high sensitivity (10 copies) and robust quantification (R² = 0.975-0.988).
  • Demonstrated excellent diagnostic accuracy (AUC = 1.000; sensitivity = 100.00%; specificity = 98.57-100.00%).
  • Showed high concordance with conventional PCR for single pathogens and 100% agreement for quadruplex coinfections.

Conclusions:

  • Multiplex qPCR is a sensitive, rapid, and highly specific tool for syndromic surveillance of tick-borne polymicrobial infections.
  • This technology improves detection capabilities in regions with overlapping vectors and zoonotic diseases.
  • Enables efficient real-time monitoring of complex tick-borne disease ecosystems.