Evidence map›Paper›PMID 36739423›Full record

ArticleAnimal microbiome2023

The fecal bacterial microbiome of the Kuhl's pipistrelle bat (Pipistrellus kuhlii) reflects landscape anthropogenic pressure.

Lourdes Lobato-Bailón, Manuel García-Ulloa, Andrés Santos, David Guixé, Jordi Camprodon, Xavier Florensa-Rius, Raúl Molleda, Robert Manzano, Maria P Ribas, Johan Espunyes and 5 more

Abstract read
In one paragraph

Article in Animal microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Bacterial Composition Across Bat Species: A Human Health Perspective.Animals : an open access journal from MDPI · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Gut Microbiome Profiling of the Endangered Southern Greater Glider (Animals : an open access journal from MDPI · 2023
    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

15 authors.

Lourdes Lobato-BailónWildlife Conservation Medicine Research Group (WildCoM), Departament de Medicina i Cirurgia Animals, Universitat Autònoma de Barcelona, 08193, Bellaterra, Catalonia, Spain. l.lobatobailon@gmail.com.
Manuel García-UlloaDepartament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, 08193, Bellaterra, Catalonia, Spain.
Andrés SantosDepartament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, 08193, Bellaterra, Catalonia, Spain.
David GuixéCentre de Ciència i Tecnologia Forestal de Catalunya, 25280, Solsona, Catalonia, Spain.
Jordi CamprodonCentre de Ciència i Tecnologia Forestal de Catalunya, 25280, Solsona, Catalonia, Spain.
Xavier Florensa-RiusCentre de Ciència i Tecnologia Forestal de Catalunya, 25280, Solsona, Catalonia, Spain.
Raúl MolledaCentre de Ciència i Tecnologia Forestal de Catalunya, 25280, Solsona, Catalonia, Spain.
Robert ManzanoCentre de Ciència i Tecnologia Forestal de Catalunya, 25280, Solsona, Catalonia, Spain.
Maria P RibasWildlife Conservation Medicine Research Group (WildCoM), Departament de Medicina i Cirurgia Animals, Universitat Autònoma de Barcelona, 08193, Bellaterra, Catalonia, Spain.
Johan EspunyesWildlife Conservation Medicine Research Group (WildCoM), Departament de Medicina i Cirurgia Animals, Universitat Autònoma de Barcelona, 08193, Bellaterra, Catalonia, Spain.
Andrea Dias-AlvesWildlife Conservation Medicine Research Group (WildCoM), Departament de Medicina i Cirurgia Animals, Universitat Autònoma de Barcelona, 08193, Bellaterra, Catalonia, Spain.
Ignasi MarcoWildlife Conservation Medicine Research Group (WildCoM), Departament de Medicina i Cirurgia Animals, Universitat Autònoma de Barcelona, 08193, Bellaterra, Catalonia, Spain.
Lourdes Migura-GarciaUnitat Mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Catalonia, Spain.
Jaime Martínez-Urtaza *Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, 08193, Bellaterra, Catalonia, Spain.
Oscar Cabezón *Wildlife Conservation Medicine Research Group (WildCoM), Departament de Medicina i Cirurgia Animals, Universitat Autònoma de Barcelona, 08193, Bellaterra, Catalonia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnthropogenic disturbance has the potential to negatively affect wildlife health by altering food availability and diet composition, increasing the exposure to agrochemicals, and intensifying the contact with humans, domestic animals, and their pathogens. However, the impact of these factors on the fecal microbiome composition of wildlife hosts and its link to host health modulation remains barely explored. Here we investigated the composition of the fecal bacterial microbiome of the insectivorous bat Kuhl's pipistrelle (Pipistrellus kuhlii) dwelling in four environmental contexts with different levels of anthropogenic pressure. We analyzed their microbiome composition, structure and diversity through full-length 16S rRNA metabarcoding using the nanopore long-read sequencer MinION™. We hypothesized that the bacterial community structure of fecal samples would vary across the different scenarios, showing a decreased diversity and richness in samples from disturbed ecosystems.

resultsThe fecal microbiomes of 31 bats from 4 scenarios were sequenced. A total of 4,829,302 reads were obtained with a taxonomic assignment percentage of 99.9% at genus level. Most abundant genera across all scenarios were Enterococcus, Escherichia/Shigella, Bacillus and Enterobacter. Alpha diversity varied significantly between the four scenarios (p < 0.05), showing the lowest Shannon index in bats from urban and intensive agriculture landscapes, while the highest alpha diversity value was found in near pristine landscapes. Beta diversity obtained by Bray-Curtis distance showed weak statistical differentiation of bacterial taxonomic profiles among scenarios. Furthermore, core community analysis showed that 1,293 genera were shared among localities. Differential abundance analyses showed that the highest differentially abundant taxa were found in near pristine landscapes, with the exception of the family Alcaligenaceae, which was also overrepresented in urban and intensive agriculture landscapes.

conclusionsThis study suggests that near pristine and undisturbed landscapes could promote a more resilient gut microbiome in wild populations of P. kuhlii. These results highlight the potential of the fecal microbiome as a non-invasive bioindicator to assess insectivorous bats' health and as a key element of landscape conservation strategies.

Indexed as

16S rRNAAnthropogenic disturbanceChiropteraConservationHealth indicatorMinIONNanopore sequencingWildlife

Identifiers

PMID36739423
PMCPMC9898988

What OpenQuestion holds

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LicenceCC BY
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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.