Metacommunity and phylogenetic structure determine wildlife and zoonotic infectious disease patterns in time and space
Por:
Suzán G., García-Peña G.E., Castro-Arellano I., Rico O., Rubio A.V., Tolsá M.J., Roche B., Hosseini P.R., Rizzoli A., Murray K.A., Zambrana-Torrelio C., Vittecoq M., Bailly X., Aguirre A.A., Daszak P., PrieurRichard, AH, Mills J.N., Guegan, JF
Publicada:
1 feb 2015
Resumen:
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. A metacommunity framework can help explain the occurrence patterns of diseases by linking the spatial, ecological, and evolutionary relationships between pathogens, hosts (including vectors), and non-host species. © 2015 The Authors.
Filiaciones:
Univ Nacl Autonoma Mexico, Fac Med Vet Zootecnia, Dept Etol Fauna Silvestre & Anim Lab, Mexico City 04510, DF, Mexico
Departamento de Etología, Fauna Silvestre y Animales de Laboratorio, Facultad de Medicina Veterinaria Zootecnia, Universidad Nacional Autónoma de México, México, Distrito Federal, Mexico
UMR MIVEGEC, Maladies Infectieuses et Vecteurs: Ecologie, Génétique, Evolution et Contrôle UMR 5290 CNRS-IRD-UM1-UM2, Centre de Recherche IRD, Montpellier Cedex 5, 34394, France
Centre de Synthèse et d'Analyse sur la Biodiversité - CESAB, Aix-en-Provence Cedex 3, 13857, France
Biology Department, Texas State University, San Marcos, TX, United States
EcoHealth Alliance, New York, NY, United States
Biodiversity and Molecular Ecology Department Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy
INRA, UR346 Épidémiologie Animale, Saint Genès Champanelle, France
Department of Environmental Science and Policy, George Mason University, Fairfax, VA, United States
Muséum National d'histoireNaturelle, DIVERSITAS, Paris, France
Population Biology, Ecology and Evolution Program, Emory University, Atlanta, GA, United States
All Open Access, Gold
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