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1000 Titel
  • Bat species assemblage predicts coronavirus prevalence
1000 Autor/in
  1. Meyer, Magdalena |
  2. Melville, Dominik Werner |
  3. Baldwin, Heather |
  4. Wilhelm, Kerstin |
  5. Nkrumah, Evans Ewald |
  6. Badu, Ebenezer K. |
  7. Oppong, Samuel Kingsley |
  8. Schwensow, Nina |
  9. Stow, Adam |
  10. Vallo, Peter |
  11. Corman, Victor Max |
  12. Tschapka, Marco |
  13. Drosten, Christian |
  14. Sommer, Simone |
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-04-04
1000 Erschienen in
1000 Quellenangabe
  • 15(1):2887
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41467-024-46979-1 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10994947/ |
1000 Ergänzendes Material
  • https://www.nature.com/articles/s41467-024-46979-1#Sec14 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
lokal Biodiversity
lokal Viral infection
lokal Community ecology
lokal Ecological epidemiology
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-5388-3850|https://orcid.org/0000-0001-8908-3882|https://orcid.org/0000-0001-9991-5419|https://orcid.org/0000-0001-5583-2777|https://frl.publisso.de/adhoc/uri/TmtydW1haCwgRXZhbnMgRXdhbGQ=|https://frl.publisso.de/adhoc/uri/QmFkdSwgRWJlbmV6ZXIgSy4=|https://frl.publisso.de/adhoc/uri/T3Bwb25nLCBTYW11ZWwgS2luZ3NsZXk=|https://frl.publisso.de/adhoc/uri/U2Nod2Vuc293LCBOaW5h|https://orcid.org/0000-0002-6796-4854|https://frl.publisso.de/adhoc/uri/VmFsbG8sIFBldGVy|https://orcid.org/0000-0002-3605-0136|https://frl.publisso.de/adhoc/uri/VHNjaGFwa2EsIE1hcmNv|https://orcid.org/0000-0001-7923-0519|https://orcid.org/0000-0002-5148-8136
1000 Label
1000 Förderer
  1. Deutsche Forschungsgemeinschaft |
1000 Fördernummer
  1. DFG SO 428/17-1; DR 772/3-1; DR 772/7-1; KA1241/18-1; TH 1420/1-1
1000 Förderprogramm
  1. -
1000 Dateien
  1. Bat species assemblage predicts coronavirus prevalence
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm -
    1000 Fördernummer DFG SO 428/17-1; DR 772/3-1; DR 772/7-1; KA1241/18-1; TH 1420/1-1
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6474110.rdf
1000 Erstellt am 2024-04-08T15:35:54.393+0200
1000 Erstellt von 284
1000 beschreibt frl:6474110
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Fri Apr 12 11:48:31 CEST 2024
1000 Objekt bearb. Fri Apr 12 11:48:14 CEST 2024
1000 Vgl. frl:6474110
1000 Oai Id
  1. oai:frl.publisso.de:frl:6474110 |
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1000 Sichtbarkeit Daten public
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