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Towards an eco-phylogenetic framework for infectious disease ecology.

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Affiliations

  • 1. Department of Veterinary Population Medicine, University of Minnesota, St Paul, MN, 55108, U.S.A.
      Authors
    • Fountain-Jones NM 1
    • Escobar LE 1
    • Alba-Casals A 1
    • Worsley-Tonks K 1
    • Craft ME 1
    (5 authors)
  • 2. Ecology Center and Department of Biology, Utah State University, Logan, UT, 84321, U.S.A.
      Authors
    • Pearse WD 2
    (1 author)
  • 3. School of Biological Sciences, University of Tasmania, Hobart, 7001, Australia.
      Authors
    • Carver S 3
    (1 author)
  • 4. Department of Biology, McGill University, Montreal, H3A 1B1, Canada.
      Authors
    • Davies TJ 4
    (1 author)
  • 5. Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, 80523, U.S.A.
      Authors
    • Kraberger S 5
    (1 author)
    • Show all (7)

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Biological Reviews of the Cambridge Philosophical Society, 08 Nov 2017, 93(2):950-970
https://doi.org/10.1111/brv.12380 PMID: 29114986 

Abstract 

Identifying patterns and drivers of infectious disease dynamics across multiple scales is a fundamental challenge for modern science. There is growing awareness that it is necessary to incorporate multi-host and/or multi-parasite interactions to understand and predict current and future disease threats better, and new tools are needed to help address this task. Eco-phylogenetics (phylogenetic community ecology) provides one avenue for exploring multi-host multi-parasite systems, yet the incorporation of eco-phylogenetic concepts and methods into studies of host pathogen dynamics has lagged behind. Eco-phylogenetics is a transformative approach that uses evolutionary history to infer present-day dynamics. Here, we present an eco-phylogenetic framework to reveal insights into parasite communities and infectious disease dynamics across spatial and temporal scales. We illustrate how eco-phylogenetic methods can help untangle the mechanisms of host-parasite dynamics from individual (e.g. co-infection) to landscape scales (e.g. parasite/host community structure). An improved ecological understanding of multi-host and multi-pathogen dynamics across scales will increase our ability to predict disease threats.

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Read article at publisher's site: https://doi.org/10.1111/brv.12380

Read article for free, from open access legal sources, via Unpaywall: https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=2573&context=biology_facpubUnpaywall

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Funding 

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National Science Foundation (2)