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Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
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A Bayesian modelling framework for estimating tick-borne pathogen transmission dynamics at the host-tick interface.

Younjung Kim1, Bruno Faivre2, Thierry Boulinier3

  • 1Sorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique (IPLESP), Paris, France.

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|April 3, 2026
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Summary
This summary is machine-generated.

A new Bayesian model reveals cofeeding transmission is key for tick-borne pathogens like Borrelia and Anaplasma. This framework helps identify critical control points for preventing disease spread at the host-tick interface.

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Area of Science:

  • Epidemiology
  • Ecology
  • Veterinary Entomology

Background:

  • Tick-borne pathogen transmission involves complex host-to-tick, tick-to-tick (cofeeding), and vertical pathways.
  • Understanding these dynamics is crucial for effective disease control strategies.
  • Previous models often overlook the significance of cofeeding transmission.

Purpose of the Study:

  • To develop and validate a Bayesian modeling framework to estimate transmission parameters at the host-tick interface.
  • To identify key drivers of tick-borne pathogen transmission, including bird species, tick life stage, and engorgement level.
  • To assess the relative importance of different transmission pathways, particularly cofeeding transmission.

Main Methods:

  • Developed a Bayesian modeling framework to jointly model transmission at the host-tick interface.
  • Utilized field data from bird-tick interactions in Northeast France (2023).
  • Focused on Borrelia garinii, Borrelia valaisiana, and Anaplasma phagocytophilum as case pathogens.

Main Results:

  • The Bayesian framework successfully recovered parameter values from simulated data.
  • Models incorporating cofeeding transmission significantly improved data explanation for all three pathogens.
  • Engorgement level positively correlated with Anaplasma phagocytophilum transmission probability from birds to ticks.

Conclusions:

  • Cofeeding transmission is a significant driver of Borrelia and Anaplasma spread among ticks.
  • The developed framework provides a robust tool for analyzing tick-borne pathogen dynamics using field data.
  • This research offers valuable insights for targeted prevention and control of tick-borne diseases.