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Metacommunity and phylogenetic structure determine wildlife and zoonotic infectious disease patterns in time and space
Authors:Gerardo Suzán  Gabriel E. García‐Peña  Ivan Castro‐Arellano  Oscar Rico  André V. Rubio  María J. Tolsá  Benjamin Roche  Parviez R. Hosseini  Annapaola Rizzoli  Kris A. Murray  Carlos Zambrana‐Torrelio  Marion Vittecoq  Xavier Bailly  A. Alonso Aguirre  Peter Daszak  Anne‐Helene Prieur‐Richard  James N. Mills  Jean‐Francois Guégan
Affiliation:1. Departamento de Etología, Fauna Silvestre y Animales de Laboratorio, Facultad de Medicina Veterinaria Zootecnia, Universidad Nacional Autónoma de México, México, Distrito Federal, México;2. UMR MIVEGEC, Maladies Infectieuses et Vecteurs: Ecologie, Génétique, Evolution et Contr?le UMR 5290 CNRS‐IRD‐UM1‐UM2, Centre de Recherche IRD, Montpellier Cedex 5, France;3. Centre de Synthèse et d'Analyse sur la Biodiversité – CESAB, Aix‐en‐Provence Cedex 3, France;4. Biology Department, Texas State University, San Marcos, Texas;5. EcoHealth Alliance, New York, New York;6. Biodiversity and Molecular Ecology Department Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy;7. INRA, UR346 Epidémiologie Animale, Saint Genès Champanelle, France;8. Department of Environmental Science and Policy, George Mason University, Fairfax, Virginia;9. Muséum National d'histoireNaturelle, DIVERSITAS, Paris, France;10. Population Biology, Ecology and Evolution Program, Emory University, Atlanta, Georgia
Abstract:The potential for disease transmission at the interface of wildlife, domestic animals and humans has become a major concern for public health and conservation biology. Research in this subject is commonly conducted at local scales while the regional context is neglected. We argue that prevalence of infection at local and regional levels is influenced by three mechanisms occurring at the landscape level in a metacommunity context. First, (1) dispersal, colonization, and extinction of pathogens, reservoir or vector hosts, and nonreservoir hosts, may be due to stochastic and niche‐based processes, thus determining distribution of all species, and then their potential interactions, across local communities (metacommunity structure). Second, (2) anthropogenic processes may drive environmental filtering of hosts, nonhosts, and pathogens. Finally, (3) phylogenetic diversity relative to reservoir or vector host(s), within and between local communities may facilitate pathogen persistence and circulation. Using a metacommunity approach, public heath scientists may better evaluate the factors that predispose certain times and places for the origin and emergence of infectious diseases. The multidisciplinary approach we describe fits within a comprehensive One Health and Ecohealth framework addressing zoonotic infectious disease outbreaks and their relationship to their hosts, other animals, humans, and the environment.
Keywords:Disease ecology  dispersal  evolution  metacommunity  One Health  phylogenetic structure  stochastic event
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