Journal of Animal Ecology
RESEARCH ARTICLE

Transmission risk predicts avoidance of infected conspecifics in Trinidadian guppies

Jessica F. Stephenson

Corresponding Author

E-mail address: jfrstephenson@gmail.com

Center for Adaptation to a Changing Environment, Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland

Department of Aquatic Ecology, EAWAG, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland

School of Biosciences, Cardiff University, Cardiff, UK

Correspondence

Jessica F. Stephenson

Email: jfrstephenson@gmail.com

Search for more papers by this author
Sarah E. Perkins

School of Biosciences, Cardiff University, Cardiff, UK

Search for more papers by this author
Joanne Cable

School of Biosciences, Cardiff University, Cardiff, UK

Search for more papers by this author
First published: 26 July 2018
Citations: 3
Get access to the full version of this article. View access options below.

Log in with Open Athens, Shibboleth, or your institutional credentials.

If you have previously obtained access with your personal account, .

    • View the article PDF and any associated supplements and figures for a period of 48 hours.
    • Article can not be printed.
    • Article can not be downloaded.
    • Article can not be redistributed.
    • Unlimited viewing of the article PDF and any associated supplements and figures.
    • Article can not be printed.
    • Article can not be downloaded.
    • Article can not be redistributed.
    • Unlimited viewing of the article/chapter PDF and any associated supplements and figures.
    • Article/chapter can be printed.
    • Article/chapter can be downloaded.
    • Article/chapter can not be redistributed.

Abstract

  1. Associating with conspecifics afflicted with infectious diseases increases the risk of becoming infected, but engaging in avoidance behaviour incurs the cost of lost social benefits. Across systems, infected individuals vary in the transmission risk they pose, so natural selection should favour risk‐sensitive avoidance behaviour that optimally balances the costs and benefits of sociality.
  2. Here, we use the guppy Poecilia reticulata–Gyrodactylus turnbulli host–parasite system to test the prediction that individuals avoid infected conspecifics in proportion to the transmission risk they pose.
  3. In dichotomous choice tests, uninfected fish avoided both the chemical and visual cues, presented separately, of infected conspecifics only in the later stages of infection.
  4. A transmission experiment indicated that this avoidance behaviour accurately tracked transmission risk (quantified as both the speed at which transmission occurs and the number of parasites transmitting) through the course of infection.
  5. Together, these findings reveal that uninfected hosts can use redundant cues across sensory systems to inform dynamic risk‐sensitive avoidance behaviour. This correlation between the transmission risk posed by infected individuals and the avoidance response they elicit has implications for the evolutionary ecology of infectious disease, and its explicit inclusion may improve the ability of epidemic models to predict disease spread.

Journal list menu