Evidence map›Paper›PMID 41755581›Full record

ArticleMolecular ecology2026

Hitchhiking Parasites: Unstructured Populations of Bat Ectoparasites Reveal Host-Driven Dispersal.

Clara Castex, Tristan Cumer, Jérôme Goudet, Philippe Christe

Abstract read
In one paragraph

Article in Molecular ecology, 2026. 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

4 authors.

Clara CastexDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0009-0006-3500-4169
Tristan CumerDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-0276-7462
Jérôme GoudetDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-5318-7601
Philippe ChristeDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-8605-7002

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding factors influencing the dynamics and distribution of parasites is essential to decipher the mechanism behind their spread and the identification of populations with elevated risks of infection. Bats-together with the diverse parasites they host and the influence of their social behaviour on parasitism-offer a suitable system. We investigated the extent to which differences in life history traits between parasite species found on the same host influence their dispersal dynamics across bat metapopulations. To do so, we compared the population genetic structure of two obligate ectoparasites of the same bat, the Daubenton's bat (Myotis daubentonii): the specialist wing mite Spinturnix andegavinus and the more generalist bat fly Nycteribia kolenatii, and we expected the bat fly to exhibit a higher connectivity than the wing mites. Using double-digest restriction site-associated DNA sequencing (ddRADseq), we genotyped 426 bat flies and 171 wing mites across 13 maternity colonies and foraging sites and 1 putative swarming site in Switzerland. We found high genetic homogeneity across the metapopulations for both species, highlighting the dispersal capacity of N. kolenatii and S. andegavinus, probably driven by the high mobility of their bat hosts. The positive population-specific F

Indexed as

ChiropteraDipteraGenetics, PopulationHost-Parasite InteractionsMitesAnimal DistributionAnimalsFemaleGenetic VariationGenotypeSequence Analysis, DNASwitzerlandbat fliesbat mitesgene flowhost–parasite evolutionRADseq

Identifiers

PMID41755581
PMCPMC12946773

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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.