Zoonotic potential of urban wildlife faeces, assessed through metabarcoding.

Campylobacteriosis House sparrow Listeriosis Monitoring systems Pigeon Zoonotic pathogens

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
31 Aug 2024
Historique:
received: 30 05 2024
revised: 27 08 2024
accepted: 27 08 2024
medline: 3 9 2024
pubmed: 3 9 2024
entrez: 2 9 2024
Statut: aheadofprint

Résumé

Monitoring zoonoses in urban environments is of great relevance, where the incidence of certain pathogens may be higher and where population density makes the spread of any contagious disease more likely. In this study we applied a metabarcoding approach to study potentially zoonotic pathogens in faecal samples of 9 urban vertebrate species. We applied this methodology with two objectives. Firstly, to obtain information on potential pathogens present in the urban fauna of a large European city (Madrid, Spain) and to determine which are their main reservoirs. In addition, we tested for differences in the prevalence of these potential pathogens between urban and rural European rabbits, used as ubiquitous species. Additionally, based on the results obtained, we evaluated the effectiveness of metabarcoding as a tool for monitoring potential pathogen. Our results revealed the presence of potentially zoonotic bacterial genera in all studied host species, 10 of these genera with zoonotic species of mandatory monitoring in the European Union. Based on these results, urban birds (especially house sparrows and pigeons) and bats are the species posing the greatest potential risk, with Campylobacter and Listeria genera in birds and of Chlamydia and Vibrio cholerae in bats as most relevant pathogens. This information highlights the risk associated with fresh faeces from urban wildlife. In addition, we detected Campylobacter in >50 % of the urban rabbit samples, while we only detected it in 11 % of the rural rabbit samples. We found that urban rabbits have a higher prevalence of some pathogens relative to rural rabbits, which could indicate increased risk of pathogen transmission to humans. Finally, our results showed that metabarcoding can be an useful tool to quickly obtain a first screening of potentially zoonotic organisms, necessary information to target the monitoring efforts on the most relevant pathogens and host species.

Identifiants

pubmed: 39222816
pii: S0048-9697(24)06022-4
doi: 10.1016/j.scitotenv.2024.175866
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

175866

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Auteurs

Xabier Cabodevilla (X)

Terrestrial Ecology Group (TEG-UAM), Department of Ecology, Universidad Autónoma de Madrid, Madrid, Spain; Conservation Biology Group, Landscape Dynamics and Biodiversity Program, Forest Science and Technology Centre of Catalonia (CTFC), Solsona, Spain; Department of Zoology and Animal Cell Biology, Faculty of Pharmacy, University of the Basque Country (UPV/EHU), Paseo de la Universidad 7, 01006 Vitoria-Gasteiz, Alava, Spain.

Juan E Malo (JE)

Terrestrial Ecology Group (TEG-UAM), Department of Ecology, Universidad Autónoma de Madrid, Madrid, Spain; Centro de Investigación en Biodiversidad y Cambio Global, Universidad Autónoma de Madrid (CIBC-UAM), Madrid, Spain.

Daniel Aguirre de Carcer (DA)

Microbial and Environmental Genomics Group, Department of Biology, Universidad Autónoma de Madrid, Madrid, Spain.

Julia Zurdo (J)

Terrestrial Ecology Group (TEG-UAM), Department of Ecology, Universidad Autónoma de Madrid, Madrid, Spain; Centro de Investigación en Biodiversidad y Cambio Global, Universidad Autónoma de Madrid (CIBC-UAM), Madrid, Spain.

Rubén Chaboy-Cansado (R)

Microbial and Environmental Genomics Group, Department of Biology, Universidad Autónoma de Madrid, Madrid, Spain.

Alberto Rastrojo (A)

Microbial and Environmental Genomics Group, Department of Biology, Universidad Autónoma de Madrid, Madrid, Spain.

Francisco J García (FJ)

Biodiversity Monitoring Group, Department of Biodiversity, Ecology and Evolution, Complutense University of Madrid, Jose Antonio Novais, 12, Madrid, 28040, Spain.

Juan Traba (J)

Terrestrial Ecology Group (TEG-UAM), Department of Ecology, Universidad Autónoma de Madrid, Madrid, Spain; Centro de Investigación en Biodiversidad y Cambio Global, Universidad Autónoma de Madrid (CIBC-UAM), Madrid, Spain. Electronic address: juan.traba@uam.es.

Classifications MeSH