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Author Notes:

e-mail: lreal@emory.edu

One contribution of 18 to a Discussion Meeting Issue ‘Next-generation molecular and evolutionary epidemiology of infectious disease’.

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Research Funding:

This research was supported by NIH grant no. RO1 AI047498 to L.A.R., and the RAPIDD Programme of the Science and Technology Directorate, The Department of Homeland Security and The Fogarty International Center, National Institutes of Health and the Louisiana Board of Regents grant no. LEQSF(2011-14-RD-A-27) to S.M.D.

Keywords:

  • disease ecology
  • evolution
  • phylodynamics
  • phylogeography
  • rabies
  • dispersal

Molecular evolutionary signatures reveal the role of host ecological dynamics in viral disease emergence and spread

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Journal Title:

Philosophical Transactions of the Royal Society B: Biological Sciences

Volume:

Volume 368, Number 1614

Publisher:

Type of Work:

Article | Post-print: After Peer Review

Abstract:

RNA viruses account for numerous emerging and perennial infectious diseases, and are characterized by rapid rates of molecular evolution. The ecological dynamics of most emerging RNA viruses are still poorly understood and difficult to ascertain. The availability of genome sequence data for many RNA viruses, in principle, could be used to infer ecological dynamics if changes in population numbers produced a lasting signature within the pattern of genome evolution. As a result, the rapidly emerging phylogeographic structure of a pathogen, shaped by the rise and fall in the number of infections and their spatial distribution, could be used as a surrogate for direct ecological assessments. Based on rabies virus as our example, we use a model combining ecological and evolutionary processes to test whether variation in the rate of host movement results in predictive diagnostic patterns of pathogen genetic structure. We identify several linearizable relationships between host dispersal rate and measures of phylogenetic structure suggesting genetic information can be used to directly infer ecological process. We also find phylogenetic structure may be more revealing than demography for certain ecological processes. Our approach extends the reach of current analytic frameworks for infectious disease dynamics by linking phylogeography back to underlying ecological processes.

Copyright information:

© 2013 The Author(s) Published by the Royal Society. All rights reserved.

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