Evidence map›Paper›PMID 42116068›Full record

ArticleFrontiers in zoology2026

Geographic differentiation of ectoparasitic flatworms in the pelagic zone of Lake Tanganyika, Africa.

Nikol Kmentová, Kelly J M Thys, Christoph Hahn, Jiří Vorel, Lutz Bachmann, Stephan Koblmüller, Maarten Van Steenberge, Auguste Chocha Manda, Lawrence Makasa, Théophile Mulimbwa N'Sibula and 2 more

Abstract read
In one paragraph

Article in Frontiers in zoology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Nikol KmentováCentre for Environmental Sciences, Research Group Zoology: Biodiversity & Toxicology, Hasselt University, Hasselt, Belgium. nikol.kmentova@uhasselt.be.
Kelly J M ThysCentre for Environmental Sciences, Research Group Zoology: Biodiversity & Toxicology, Hasselt University, Hasselt, Belgium.
Christoph HahnInstitute of Biology, University of Graz, Graz, Austria. christoph.hahn@uni-graz.at.
Jiří VorelCESNET z.s.p.o., Prague, Czech Republic.
Lutz BachmannNatural History Museum, University of Oslo, Oslo, Norway.
Stephan KoblmüllerInstitute of Biology, University of Graz, Graz, Austria.
Maarten Van SteenbergeCentre for Environmental Sciences, Research Group Zoology: Biodiversity & Toxicology, Hasselt University, Hasselt, Belgium.
Auguste Chocha MandaUnité de Recherche en Biodiversité Et Exploitation Durable Des Zones Humides (BEZHU), Faculté Des Sciences Agronomiques, Université de Lubumbashi, Lubumbashi, Democratic Republic of the Congo.
Lawrence MakasaLake Tanganyika Research Unit, Department of Fisheries, Ministry of Fisheries and Livestock, P. O. Box 420055, Mpulungu, Zambia.
Théophile Mulimbwa N'SibulaDépartement de Biologie, Centre de Recherche en Hydrobiologie, Uvira, Democratic Republic of Congo.
Pascal Masilya MulungulaDépartement de Biologie, Centre de Recherche en Hydrobiologie, Uvira, Democratic Republic of Congo.
Maarten P M VanhoveCentre for Environmental Sciences, Research Group Zoology: Biodiversity & Toxicology, Hasselt University, Hasselt, Belgium.

Funding

Austrian Science Fund 10.55776/P32691Belgian Federal Science Policy Office 4255-FED-tWIN-G3Grantová Agentura České Republiky GA19-13573SUniversiteit Hasselt BOF20TT06Universiteit Hasselt BOF21DOC08Universiteit Hasselt BOF21PD01Universiteit Hasselt BOF23KV02
6 · The paper itself

Abstract

Monopisthocotylan parasites have been proposed as tags for studying host population structure due to their direct life cycles and short generation times. However, their effectiveness in reflecting host population connectivity remains under scrutiny. The poorly-understood connectivity of fisheries stocks in Lake Tanganyika, the second deepest lake in the world with a permanently stratified, relatively species-poor and well-delimited pelagic zone, serves as a case-study to test utility of parasites for fish stock identification. This study investigates the population structure of two Kapentagyrus species parasitizing dorosomatid fish in Lake Tanganyika, by analyzing variation in mitochondrial protein-coding genes across a geographic gradient. The study comprised 12 population genomic datasets from the central and southern subbasins of the lake sampled within the same week to account for host migration. We observed differences in geographic population structure of the two parasite species, with restricted gene flow in Kapentagyrus limnotrissae infecting a single dorosomatid species and smaller hosts preferring the littoral zone. Conversely, K. tanganicanus exhibited no geographical structure, reflecting its broader host range and preference for larger hosts preferring the pelagic zone. The results also highlight that other mitochondrial genes such as those from the dehydrogenase family or atp6 provide higher resolution for population genetic studies in these parasites than the frequently used cox1. The study also compared two sequencing strategies-individual versus pooled sequencing (PoolSeq)-for assessing population structure of monopisthocotylan parasites, and found that PoolSeq yielded similar results with lower demands on individual DNA quantity and sequencing costs. This work supports the use of host-specific, directly transmitted parasites as ecosystem tags and provides valuable insights into the role of host ecology and parasite life-history traits in shaping population dynamics.

Indexed as

DorosomatidaeHabitat preferenceMigrationMonopisthocotylaPoolSeqPopulation connectivity

Identifiers

PMID42116068
PMCPMC13159304

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Registered trials

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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.