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Literature detail

Mechanisms for lyssavirus persistence in non-synanthropic bats in Europe: insights from a modeling study.

Davide Colombi1,2 Jordi Serra-Cobo3 Raphaëlle Métras4,5 Andrea Apolloni5,6 Chiara Poletto7 Marc López-Roig3 Hervé Bourhy8 Vittoria Colizza9
Affiliations 9 institutions
  1. Computational Epidemiology Laboratory, Institute for Scientific Interchange (ISI), Turin, Italy.
  2. Physics Department and INFN, University of Turin, via P. Giuria 1, 10125, Turin, Italy.
  3. Institut de Recerca de la Biodiversitat, Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Universitat de Barcelona, Barcelona, Spain.
  4. CIRAD, UMR ASTRE, F-34398, Montpellier, France.
  5. ASTRE, Univ Montpellier, CIRAD, INRA, Montpellier, France.
  6. Institut Sénégalais de Recherches Agricoles, Laboratoire National de l'Elevage et de Recherche Vétérinaire, Parc Scientifique de Hann, Dakar, Senegal.
  7. INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, F75012, Paris, France.
  8. Institut Pasteur, Unit lyssavirus dynamics and host adaptation, Paris, France.
  9. INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, F75012, Paris, France. [email protected].
PMID 30679459 2019 Sci Rep eng epublish
PubMed DOI Browse context

Article

Publication summary

Bats are natural reservoirs of the largest proportion of viral zoonoses among mammals, thus understanding the conditions for pathogen persistence in bats is essential to reduce human risk. Focusing on the European Bat Lyssavirus subtype 1 (EBLV-1), causing rabies disease, we develop a data-driven spatially explicit metapopulation model to investigate EBLV-1 persistence in Myotis myotis and Miniopterus schreibersii bat species in Catalonia. We find that persistence relies on host spatial structure through the migratory nature of M. schreibersii, on cross-species mixing with M. myotis, and on survival of infected animals followed by temporary immunity. The virus would not persist in the single colony of M. myotis. Our study provides for the first time epidemiological estimates for EBLV-1 progression in M. schreibersii. Our approach can be readily adapted to other zoonoses of public health concern where long-range migration and habitat sharing may play an important role.

Adaptive Immunity Animal Migration Animals Caves Chiroptera Ecosystem Humans Lyssavirus Models, Theoretical Public Health Rhabdoviridae Infections Seasons Sexual Behavior, Animal Spain Zoonoses European bat 1 lyssavirus

Structured evidence records

Evidence records

2 total
Cross Species Transmission 1 records
Cross Species Transmission Extraction confidence 0.90
Key finding

European Bat Lyssavirus subtype 1 transmission occurs between Myotis myotis and Miniopterus schreibersii bats, indicating cross-species viral mixing that supports persistence.

Virus
EBLV1
Location
Spain Catalonia, Spain
Supporting text

We find that persistence relies on host spatial structure through the migratory nature of M. schreibersii, on cross-species mixing with M. myotis, and on survival of infected animals followed by temporary immunity.

Method
metapopulation model
Study design
modeling study
Transmission direction
animal-to-animal
Geographic raw
Catalonia
Country inferred
Spain
Reservoir Ecology 1 records
Reservoir Ecology Extraction confidence 0.85
Key finding

EBLV-1 persistence in bat populations depends on migration of Miniopterus schreibersii, cross-species interactions with Myotis myotis, and temporary immunity, indicating ecological mechanisms supporting viral maintenance.

Virus
EBLV1
Location
Spain Catalonia, Spain
Supporting text

We develop a data-driven spatially explicit metapopulation model to investigate EBLV-1 persistence in Myotis myotis and Miniopterus schreibersii bat species in Catalonia. We find that persistence relies on host spatial structure through the migratory nature of M. schreibersii, on cross-species mixing with M. myotis, and on survival of infected animals followed by temporary immunity.

Method
data-driven spatially explicit metapopulation model
Geographic raw
Catalonia
Country inferred
Spain