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The heterogeneous herd: Drivers of close-contact variation in African buffalo and implications for pathogen invasion.
Rushmore, Julie; Beechler, Brianna R; Tavalire, Hannah; Gorsich, Erin E; Charleston, Bryan; Devan-Song, Anne; Glidden, Caroline K; Jolles, Anna E.
Afiliación
  • Rushmore J; Carlson College of Veterinary Medicine Oregon State University Corvallis Oregon USA.
  • Beechler BR; One Health Institute, School of Veterinary Medicine University of California Davis California USA.
  • Tavalire H; EpiCenter for Disease Dynamics, School of Veterinary Medicine University of California Davis California USA.
  • Gorsich EE; Carlson College of Veterinary Medicine Oregon State University Corvallis Oregon USA.
  • Charleston B; Department of Integrative Biology Oregon State University Corvallis Oregon USA.
  • Devan-Song A; Department of Integrative Biology Oregon State University Corvallis Oregon USA.
  • Glidden CK; The Zeeman Institute: Systems Biology and Infectious Disease Epidemiology Research University of Warwick Coventry UK.
  • Jolles AE; School of Life Sciences University of Warwick Coventry UK.
Ecol Evol ; 13(8): e10447, 2023 Aug.
Article en En | MEDLINE | ID: mdl-37621318
ABSTRACT
Many infectious pathogens are shared through social interactions, and examining host connectivity has offered valuable insights for understanding patterns of pathogen transmission across wildlife species. African buffalo are social ungulates and important reservoirs of directly-transmitted pathogens that impact numerous wildlife and livestock species. Here, we analyzed African buffalo social networks to quantify variation in close contacts, examined drivers of contact heterogeneity, and investigated how the observed contact patterns affect pathogen invasion likelihoods for a wild social ungulate. We collected continuous association data using proximity collars and sampled host traits approximately every 2 months during a 15-month study period in Kruger National Park, South Africa. Although the observed herd was well connected, with most individuals contacting each other during each bimonthly interval, our analyses revealed striking heterogeneity in close-contact associations among herd members. Network analysis showed that individual connectivity was stable over time and that individual age, sex, reproductive status, and pairwise genetic relatedness were important predictors of buffalo connectivity. Calves were the most connected members of the herd, and adult males were the least connected. These findings highlight the role susceptible calves may play in the transmission of pathogens within the herd. We also demonstrate that, at time scales relevant to infectious pathogens found in nature, the observed level of connectivity affects pathogen invasion likelihoods for a wide range of infectious periods and transmissibilities. Ultimately, our study identifies key predictors of social connectivity in a social ungulate and illustrates how contact heterogeneity, even within a highly connected herd, can shape pathogen invasion likelihoods.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ecol Evol Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ecol Evol Año: 2023 Tipo del documento: Article