High-throuhgput screening of tick-borne pathogens in Europe

L. Michelet, S. Delannoy, E. Devillers, G. Umhang, A. Aspan, M. Juremalm, J. Chirico, F.J. van der Wal, H. Sprong, T.P. Boye Pihl, K. Klitgaard, R. Bodker, P. Fach, S. Moutailler

Research output: Contribution to journalArticleAcademicpeer-review

197 Citations (Scopus)


Due to increased travel, climatic, and environmental changes, the incidence of tick-borne disease in both humans and animals is increasing throughout Europe. Therefore, extended surveillance tools are desirable. To accurately screen tick-borne pathogens (TBPs), a large scale epidemiological study was conducted on 7050 Ixodes ricinus nymphs collected from France, Denmark, and the Netherlands using a powerful new high-throughput approach. This advanced methodology permitted the simultaneous detection of 25 bacterial, and 12 parasitic species (including; Borrelia, Anaplasma, Ehrlichia, Rickettsia, Bartonella, Candidatus Neoehrlichia, Coxiella, Francisella, Babesia, and Theileria genus) across 94 samples. We successfully determined the prevalence of expected (Borrelia burgdorferi sensu lato, Anaplasma phagocytophilum, Rickettsia helvetica, Candidatus Neoehrlichia mikurensis, Babesia divergens, Babesia venatorum), unexpected (Borrelia miyamotoi), and rare (Bartonella henselae) pathogens in the three European countries. Moreover we detected Borrelia spielmanii, Borrelia miyamotoi, Babesia divergens, and Babesia venatorum for the first time in Danish ticks. This surveillance method represents a major improvement in epidemiological studies, able to facilitate comprehensive testing of TBPs, and which can also be customized to monitor emerging diseases.
Original languageEnglish
Article number103
Number of pages13
JournalFrontiers in Cellular and Infection Microbiology
Publication statusPublished - 2014


  • ixodes-ricinus ticks
  • candidatus neoehrlichia mikurensis
  • burgdorferi sensu-lato
  • borrelia-burgdorferi
  • bartonella-henselae
  • anaplasma-phagocytophilum
  • human babesiosis
  • lyme-disease
  • vector
  • identification


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