Viral metacommunities associated to bats and rodents at different spatial scales
One of the main goals of community ecology is to measure the relative importance of environmental filters to understand patterns of species distribution at different temporal and spatial scales. Likewise, the identification of factors that shape symbiont metacommunity structures is important in disease ecology because resulting structures drive disease transmission. We tested the hypothesis that distributions of virus species and viral families from rodents and bats are defined by shared responses to host phylogeny and host functional characteristics, shaping the viral metacommunity structures at four spatial scales (Continental, Biogeographical, Zoogeographical, and Regional). The contribution of host phylogeny and host traits to the metacommunity of viruses at each spatial scale was calculated using a redundant analysis of canonical ordering (RDA). For rodents, at American Continental scale the coherence of viral species metacommunity increased while the spatial scale decreased and Quasi-Clementsian structures were observed. This pattern suggests a restricted distribution of viruses through their hosts, while in the Big Mass (Europe, Africa, and Asia), the coherence decreased as spatial scale decreased. Viral species metacommunities associated with bats was dominated by random structures along all spatial scales. We suggest that this random pattern is a result of the presence of viruses with high occupancy range such as rabies (73%) and coronavirus (27%), that disrupt such structures. At viral family scale, viral metacommunities associated with bats showed coherent structures, with the emergence of Quasi- Clementsian and Checkerboard structures. RDA analysis indicates that the assemblage of viral diversity associated with rodents and bats responds to phylogenetic and functional characteristics, which alternate between spatial scales. Several of these variations could be subject to the spatial scale, in spite of this, we could identify patterns at macro ecological scale. The application of metacommunity theory at symbiont scales is particularly useful for large-scale ecological analysis. Understanding the rules of host-virus association can be useful to take better decisions in epidemiological surveillance, control and even predictions of viral distribution and dissemination.
KeywordsBiogeographic scale Disease ecology Host environmental filtering Niche theory Zoogeographic scale
We are very grateful to PAPIIT (Project IA206416), Programa de Apoyo de los Estudios de Posgrado, UNAM, CONACYT, and Laboratorio de Ecología de Enfermedades y Una Salud, FMVZ, UNAM, especially to M. López Santana and D. Mendizabal Castillo for their contribution in databases construction.
- Buckley, L.B., T.J. Davies, D.D. Ackerly, N.J.B. Kraft, P. Susan, B.L. Anacker, H.V Cornell, E.I. Damschen, J. Grytnes, B.A. Hawkins, C.M. Mccain, P.R. Stephens and J.J. Wiens. 2010. Phylogeny, niche conservatism and the latitudinal diversity gradient in mammals. Proc. Roy. Soc. Lond. B. Biol. Sci. 277:rspb20100179.Google Scholar
- Drexler, J.F., F. Gloza-Rausch, J. Glende, V.M. Corman, D. Muth, M. Goettsche, A. Seebens, M. Niedrig, S. Pfefferle, S. Yordanov, L. Zhelyazkov, U. Hermanns, P. Vallo, A. Lukashev, M.A. Muller, H. Deng, G. Herrler and C. Drosten. 2010. Genomic characterization of severe acute respiratory syndrome-related coronavirus in European bats and classification of coronaviruses based on partial RNA-dependent RNA polymerase gene sequences. J. Virology 84:11336–11349.CrossRefGoogle Scholar
- Gonzalez, A. 2009. Metacommunities: Spatial Community Ecology. Encyclopedia of Life Sciences:1–8.Google Scholar
- Holt, B.G., J.-P. Lessard, M.K. Borregaard, S.A. Fritz, M.B. Araujo, D. Dimitrov, P.-H. Fabre, C.H. Graham, G.R. Graves, K.A. Jonsson, D. Nogues-Bravo, Z. Wang, R.J. Whittaker, J. Fjeldsa and C. Rahbek. 2013. Response to comment on “An Update of Wallace’s Zoogeographic Regions of the World.” Science 341:343–343.CrossRefGoogle Scholar
- Jaisson, P.C. 2000. La hormiga y el sociobiólogo. (No. 304.5 J3). México.Google Scholar
- Jones, K.E., J. Bielby, M. Cardillo, S. Fritz, J. O’Dell, C.D. L. Orme, K. Safi, W. Sechrest, E.H. Boakes, C. Carbone, C. Connolly, M. J. Cutts, J.K. Foster, R. Grenyer, M. Habib, C. Plaster, S. Price, E. Rigby, J. Rist, A. Teacher, O.R.P. Bininda-Emonds, J. L. Gittleman, G.M. Mace and A. Purvis. 2009. PanTHERIA: a species-level database of life history, ecology, and geography of extant and recently extinct mammals. Ecology 90:2648–2648.CrossRefGoogle Scholar
- Lorencio, C.G. 2007. Avances en ecología: hacia un mejor conocimiento de la naturaleza. Secretariado de Publicaciones de la Universidad de Sevilla.Google Scholar
- Lovejoy, T.E., R.O. Bierregaard, A.B. Rylands and M.J.R. 1986. Edge and other effects of isolation on Amazon forest fragments. In: M.E. Solé (ed.), The Science of Scarcity and Diversity. Sinauer, Sunderland, Massachusetts. pp. 257–284.Google Scholar
- Luis, A.D., D.T.S. Hayman, T.J. O’Shea, P. M. Cryan, A.T. Gilbert, J. R.C. Pulliam, J.N. Mills, M.E. Timonin, C.K.R. Willis, A.A. Cunningham, A.R. Fooks, C.E. Rupprecht, J.L.N. Wood and C. T. Webb. 2013. A comparison of bats and rodents as reservoirs of zoonotic viruses: are bats special? Proc. Royal Soc.B: Biol. Sci. 280:20122753.Google Scholar
- Morand, S. and B.R. Krasnov. 2010. The Biogeography of Host–Parasite Interactions. Oxford University Press, Oxford.Google Scholar
- R Core Team. 2017. R: A language and environment for statistical computing. RStudio, Inc., Boston, MA.Google Scholar
- Suzán, G., G.E. García-Peña, I. Castro-Arellano, O. Rico, A.V. Rubio, M.J. Tolsá, B. Roche, P.R. Hosseini, A. Rizzoli, K.A. Murray, C. Zambrana-Torrelio, M. Vittecoq, X. Bailly, A.A. Aguirre, P. Daszak, A.H. Prieur-Richard, J.N. Mills and J.F. Guégan. 2015. Metacommunity and phylogenetic structure determine wildlife and zoonotic infectious disease patterns in time and space. Ecol. Evol. 5:865–873.CrossRefGoogle Scholar
- Urteaga, L. 1993. La Teoría De Los Climas Y Los Orígenes Del Ambientalismo. Cuadernos criticos de geografia humana XVIII:1–36.Google Scholar
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