Evidence map›Paper›PMID 26315069›Full record

ArticleParasites & vectors2015

Screening of bat faeces for arthropod-borne apicomplexan protozoa: Babesia canis and Besnoitia besnoiti-like sequences from Chiroptera.

Sándor Hornok, Péter Estók, Dávid Kováts, Barbara Flaisz, Nóra Takács, Krisztina Szőke, Aleksandra Krawczyk, Jenő Kontschán, Miklós Gyuranecz, András Fedák and 3 more

Abstract read
In one paragraph

Article in Parasites & vectors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Bacterial Composition Across Bat Species: A Human Health Perspective.Animals : an open access journal from MDPI · 2025
    Review
  2. Article
  3. Canine Babesiosis Caused by LargeAnimals : an open access journal from MDPI · 2023
    Review
  4. Article
  5. Article
  6. Review
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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

13 authors.

Sándor HornokDepartment of Parasitology and Zoology, Faculty of Veterinary Science, Szent István University, Budapest, Hungary. hornok.sandor@aotk.szie.hu.
Péter EstókDepartment of Zoology, Eszterházy Károly College, Eger, Hungary. batfauna@gmail.com.
Dávid KovátsDepartment of Evolutionary Zoology and Human Biology, Debrecen University, Debrecen, Hungary. david.kovats@gmail.com.
Barbara FlaiszDepartment of Parasitology and Zoology, Faculty of Veterinary Science, Szent István University, Budapest, Hungary. flaisz.barbara@aotk.szie.hu.
Nóra TakácsDepartment of Parasitology and Zoology, Faculty of Veterinary Science, Szent István University, Budapest, Hungary. takacs.nora@aotk.szie.hu.
Krisztina SzőkeDepartment of Parasitology and Zoology, Faculty of Veterinary Science, Szent István University, Budapest, Hungary. krisztina.sz347@gmail.com.
Aleksandra KrawczykCentre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands. aleksandra.krawczyk@rivm.nl.
Jenő KontschánPlant Protection Institute, Centre for Agricultural Research, Hungarian Academy of Sciences, Budapest, Hungary. jkontschan@gmail.com.
Miklós GyuraneczInstitute for Veterinary Medical Research, Centre for Agricultural Research, Hungarian Academy of Sciences, Budapest, Hungary. m.gyuranecz@gmail.com.
András FedákVeterinary Authority, Miskolc, Hungary. jedrek74@gmail.hu.
Róbert FarkasDepartment of Parasitology and Zoology, Faculty of Veterinary Science, Szent István University, Budapest, Hungary.
Anne-Jifke HaarsmaDepartment of Animal Ecology and Ecophysiology, Radboud University Nijmegen, Nijmegen, The Netherlands. ahaarsma@dds.nl.
Hein SprongCentre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands. hsprong@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBats are among the most eco-epidemiologically important mammals, owing to their presence in human settlements and animal keeping facilities. Roosting of bats in buildings may bring pathogens of veterinary-medical importance into the environment of domestic animals and humans. In this context bats have long been studied as carriers of various pathogen groups. However, despite their close association with arthropods (both in their food and as their ectoparasites), only a few molecular surveys have been published on their role as carriers of vector-borne protozoa. The aim of the present study was to compensate for this scarcity of information.

findingsAltogether 221 (mostly individual) bat faecal samples were collected in Hungary and the Netherlands. The DNA was extracted, and analysed with PCR and sequencing for the presence of arthropod-borne apicomplexan protozoa. Babesia canis canis (with 99-100% homology) was identified in five samples, all from Hungary. Because it was excluded with an Ixodidae-specific PCR that the relevant bats consumed ticks, these sequences derive either from insect carriers of Ba. canis, or from the infection of bats. In one bat faecal sample from the Netherlands a sequence having the highest (99%) homology to Besnoitia besnoiti was amplified.

conclusionsThese findings suggest that some aspects of the epidemiology of canine babesiosis are underestimated or unknown, i.e. the potential role of insect-borne mechanical transmission and/or the susceptibility of bats to Ba. canis. In addition, bats need to be added to future studies in the quest for the final host of Be. besnoiti.

Indexed as

AnimalsBabesiaBabesiosisChiropteraCoccidiosisDNA, ProtozoanFecesHungaryMass ScreeningMolecular Sequence DataNetherlandsPolymerase Chain ReactionPrevalenceSarcocystidaeSequence Analysis, DNADNA, Protozoan

Identifiers

PMID26315069
PMCPMC4552134

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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.