Document Detail

Stochastic environmental fluctuations drive epidemiology in experimental host-parasite metapopulations.
MedLine Citation:
PMID:  23966645     Owner:  NLM     Status:  MEDLINE    
Environmental fluctuations are important for parasite spread and persistence. However, the effects of the spatial and temporal structure of environmental fluctuations on host-parasite dynamics are not well understood. Temporal fluctuations can be random but positively autocorrelated, such that the environment is similar to the recent past (red noise), or random and uncorrelated with the past (white noise). We imposed red or white temporal temperature fluctuations on experimental metapopulations of Paramecium caudatum, experiencing an epidemic of the bacterial parasite Holospora undulata. Metapopulations (two subpopulations linked by migration) experienced fluctuations between stressful (5 °C) and permissive (23 °C) conditions following red or white temporal sequences. Spatial variation in temperature fluctuations was implemented by exposing subpopulations to the same (synchronous temperatures) or different (asynchronous temperatures) temporal sequences. Red noise, compared with white noise, enhanced parasite persistence. Despite this, red noise coupled with asynchronous temperatures allowed infected host populations to maintain sizes equivalent to uninfected populations. It is likely that this occurs because subpopulations in permissive conditions rescue declining subpopulations in stressful conditions. We show how patterns of temporal and spatial environmental fluctuations can impact parasite spread and host population abundance. We conclude that accurate prediction of parasite epidemics may require realistic models of environmental noise.
Alison B Duncan; Andrew Gonzalez; Oliver Kaltz
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2013-08-21
Journal Detail:
Title:  Proceedings. Biological sciences / The Royal Society     Volume:  280     ISSN:  1471-2954     ISO Abbreviation:  Proc. Biol. Sci.     Publication Date:  2013 Oct 
Date Detail:
Created Date:  2013-08-22     Completed Date:  2014-04-03     Revised Date:  2014-10-22    
Medline Journal Info:
Nlm Unique ID:  101245157     Medline TA:  Proc Biol Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  20131747     Citation Subset:  IM    
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MeSH Terms
Holosporaceae / physiology*
Paramecium caudatum / microbiology*,  physiology*
Stochastic Processes
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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