Evidence map›Paper›PMID 40637783›Full record

ArticleMicrobial ecology2025

Diversity of the Ixodes ricinus Microbiome Across Belgian Ecoregions and Its Association with Pathogen and Symbiont Presence.

Camille Philippe, Lianet Abuin Denis, Manoj Fonville, Bert Devriendt, François E Dufrasne, Dasiel Obregon, Apolline Maître, Štefánia Skičková, Eric Cox, Hein Sprong and 2 more

Abstract read
In one paragraph

Article in Microbial ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Camille PhilippeSciensano, Belgian Institute for Health, Brussels, Belgium.
Lianet Abuin DenisAnses, INRAE, Ecole Nationale Vétérinaire d'Alfort, UMR BIPAR, Laboratoire de Santé Animale, Maisons Alfort, France.
Manoj FonvilleCentre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, Netherlands.
Bert DevriendtLaboratory of Immunology, Department of Translational Physiology, Infectiology and Public Health, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
François E DufrasneSciensano, Belgian Institute for Health, Brussels, Belgium.
Dasiel ObregonSchool of Environmental Sciences, University of Guelph, Guelph, ON, Canada.
Apolline MaîtreAnses, INRAE, Ecole Nationale Vétérinaire d'Alfort, UMR BIPAR, Laboratoire de Santé Animale, Maisons Alfort, France.
Štefánia SkičkováDepartment of Animal Physiology, Faculty of Science, Institute of Biology and Ecology, Pavol Jozef Šafárik University in Košice, Košice, Slovakia.
Eric CoxLaboratory of Immunology, Department of Translational Physiology, Infectiology and Public Health, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
Hein SprongCentre for Infectious Disease Control, National Institute for Public Health and Environment (RIVM), Bilthoven, Netherlands.
Alejandro Cabezas CruzAnses, INRAE, Ecole Nationale Vétérinaire d'Alfort, UMR BIPAR, Laboratoire de Santé Animale, Maisons Alfort, France.
Marcella MoriSciensano, Belgian Institute for Health, Brussels, Belgium. Marcella.Mori@sciensano.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ticks are important vectors of zoonotic pathogens, and their presence can be influenced by the composition of the tick microbiome. In turn, this microbiome is shaped by environmental and ecological factors, as demonstrated in several studies conducted under controlled conditions. However, the extent of these influences under natural ecological conditions remains underexplored. In this study, we investigated the diversity of the microbiome and the prevalence of pathogens in Ixodes ricinus nymphs across three distinct Belgian ecoregions: Sandy Loam, Condroz, and Ardennes. Using real-time quantitative PCR (qPCR) and Oxford Nanopore 16S rRNA sequencing, we assessed how geography and pathogen presence influence tick-associated microbial communities. Our results revealed significant regional differences in microbiome composition and pathogen prevalence. Borrelia burgdorferi sensu lato (s.l.) was most prevalent in the Ardennes (9% (7.4-10.9) vs 3.8% (2.8-5.2) in the Condroz and 2.1% (1.4-3.2) in Sandy Loam) while Anaplasma phagocytophilum was more common in the Sandy Loam region (21.1% (18.7-23.8) vs 4% (3-5.4) in the Condroz and 3.2% (2.2-4.4) in the Ardennes). Endosymbionts such as Midichloria mitochondrii and Spiroplasma ixodetis also exhibited distinct geographic distributions. Network analysis identified potential pathogen-microbiota interactions, with certain bacterial taxa showing positive or negative associations with specific pathogens. Moreover, microbiome composition was influenced not only by ecoregion but also by microorganisms such as Rickettsia helvetica, suggesting that its colonization may actively shape microbial community structure, potentially through competition or facilitation mechanisms. Additionally, microbiome network robustness varied across ecoregions, highlighting the role of ecological context in shaping microbial interactions within ticks. These findings underscore the complex interplay between geography, pathogen presence, and microbial diversity in ticks, highlighting the importance of integrating these interactions to inform microbiome-based strategies for vector control and disease prevention.

Indexed as

BacteriaIxodesMicrobiotaSymbiosisAnaplasma phagocytophilumAnimalsBelgiumBiodiversityNymphRNA, Ribosomal, 16SRNA, Ribosomal, 16SEcoregionsIxodes ricinusNymph sexPathogen-symbiont-microbiota interactionsTick microbiome

Identifiers

PMID40637783
PMCPMC12245972

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.