Evidence map›Paper›PMID 38575573›Full record

ArticleNature communications2024

Bat species assemblage predicts coronavirus prevalence.

Magdalena Meyer, Dominik W Melville, Heather J Baldwin, Kerstin Wilhelm, Evans Ewald Nkrumah, Ebenezer K Badu, Samuel Kingsley Oppong, Nina Schwensow, Adam Stow, Peter Vallo and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  9. Pathogens and planetary change.Nature reviews. Biodiversity · 2025
    Article
  10. Article
  11. ISME communications · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. 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

14 authors.

Magdalena Meyer *Institute of Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany. magdalena.meyer@uni-ulm.de.ORCID http://orcid.org/0000-0002-5388-3850
Dominik W Melville *Institute of Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany.ORCID http://orcid.org/0000-0001-8908-3882
Heather J BaldwinInstitute of Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany.ORCID http://orcid.org/0000-0001-9991-5419
Kerstin WilhelmInstitute of Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany.ORCID http://orcid.org/0000-0001-5583-2777
Evans Ewald NkrumahDepartment of Wildlife and Range Management, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Ebenezer K BaduDepartment of Wildlife and Range Management, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Samuel Kingsley OppongDepartment of Wildlife and Range Management, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Nina SchwensowInstitute of Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany.
Adam StowSchool of Natural Sciences, Macquarie University, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0002-6796-4854
Peter ValloInstitute of Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany.
Victor M CormanCharité - Universitätsmedizin Berlin Institute of Virology, Berlin, Germany.ORCID http://orcid.org/0000-0002-3605-0136
Marco TschapkaInstitute of Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany.
Christian DrostenCharité - Universitätsmedizin Berlin Institute of Virology, Berlin, Germany.ORCID http://orcid.org/0000-0001-7923-0519
Simone SommerInstitute of Evolutionary Ecology and Conservation Genomics, Ulm University, Ulm, Germany. simone.sommer@uni-ulm.de.ORCID http://orcid.org/0000-0002-5148-8136

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) DFG SO 428/17-1Deutsche Forschungsgemeinschaft (German Research Foundation) DR 772/3-1 & 7-1Deutsche Forschungsgemeinschaft (German Research Foundation) KA1241/18-1Deutsche Forschungsgemeinschaft (German Research Foundation) TH 1420/1-1
6 · The paper itself

Abstract

Anthropogenic disturbances and the subsequent loss of biodiversity are altering species abundances and communities. Since species vary in their pathogen competence, spatio-temporal changes in host assemblages may lead to changes in disease dynamics. We explore how longitudinal changes in bat species assemblages affect the disease dynamics of coronaviruses (CoVs) in more than 2300 cave-dwelling bats captured over two years from five caves in Ghana. This reveals uneven CoV infection patterns between closely related species, with the alpha-CoV 229E-like and SARS-related beta-CoV 2b emerging as multi-host pathogens. Prevalence and infection likelihood for both phylogenetically distinct CoVs is influenced by the abundance of competent species and naïve subadults. Broadly, bat species vary in CoV competence, and highly competent species are more common in less diverse communities, leading to increased CoV prevalence in less diverse bat assemblages. In line with the One Health framework, our work supports the notion that biodiversity conservation may be the most proactive measure to prevent the spread of pathogens with zoonotic potential.

Indexed as

ChiropteraCoronavirusCoronavirus InfectionsSevere acute respiratory syndrome-related coronavirusAnimalsPhylogenyPrevalence

Identifiers

PMID38575573
PMCPMC10994947

What OpenQuestion holds

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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.