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Environmental variation causes different (co) evolutionary routes to the same adaptive destination across parasite populations

Epidemics are engines for host‐parasite coevolution, where parasite adaptation to hosts drives reciprocal adaptation in host populations. A key challenge is to understand whether parasite adaptation and any underlying evolution and coevolution is repeatable across ecologically realistic populations...

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Detalles Bibliográficos
Autores principales: Auld, Stuart K. J. R., Brand, June
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121849/
https://www.ncbi.nlm.nih.gov/pubmed/30283653
http://dx.doi.org/10.1002/evl3.27
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author Auld, Stuart K. J. R.
Brand, June
author_facet Auld, Stuart K. J. R.
Brand, June
author_sort Auld, Stuart K. J. R.
collection PubMed
description Epidemics are engines for host‐parasite coevolution, where parasite adaptation to hosts drives reciprocal adaptation in host populations. A key challenge is to understand whether parasite adaptation and any underlying evolution and coevolution is repeatable across ecologically realistic populations that experience different environmental conditions, or if each population follows a completely unique evolutionary path. We established twenty replicate pond populations comprising an identical suite of genotypes of crustacean host, Daphnia magna, and inoculum of their parasite, Pasteuria ramosa. Using a time‐shift experiment, we compared parasite infection traits before and after epidemics and linked patterns of parasite evolution with shifts in host genotype frequencies. Parasite adaptation to the sympatric suite of host genotypes came at a cost of poorer performance on foreign genotypes across populations and environments. However, this consistent pattern of parasite adaptation was driven by different types of frequency‐dependent selection that was contingent on an ecologically relevant environmental treatment (whether or not there was physical mixing of water within ponds). In unmixed ponds, large epidemics drove rapid and strong host‐parasite coevolution. In mixed ponds, epidemics were smaller and host evolution was driven mainly by the mixing treatment itself; here, host evolution and parasite evolution were clear, but coevolution was absent. Population mixing breaks an otherwise robust coevolutionary cycle. These findings advance our understanding of the repeatability of (co)evolution across noisy, ecologically realistic populations.
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spelling pubmed-61218492018-10-03 Environmental variation causes different (co) evolutionary routes to the same adaptive destination across parasite populations Auld, Stuart K. J. R. Brand, June Evol Lett Letters Epidemics are engines for host‐parasite coevolution, where parasite adaptation to hosts drives reciprocal adaptation in host populations. A key challenge is to understand whether parasite adaptation and any underlying evolution and coevolution is repeatable across ecologically realistic populations that experience different environmental conditions, or if each population follows a completely unique evolutionary path. We established twenty replicate pond populations comprising an identical suite of genotypes of crustacean host, Daphnia magna, and inoculum of their parasite, Pasteuria ramosa. Using a time‐shift experiment, we compared parasite infection traits before and after epidemics and linked patterns of parasite evolution with shifts in host genotype frequencies. Parasite adaptation to the sympatric suite of host genotypes came at a cost of poorer performance on foreign genotypes across populations and environments. However, this consistent pattern of parasite adaptation was driven by different types of frequency‐dependent selection that was contingent on an ecologically relevant environmental treatment (whether or not there was physical mixing of water within ponds). In unmixed ponds, large epidemics drove rapid and strong host‐parasite coevolution. In mixed ponds, epidemics were smaller and host evolution was driven mainly by the mixing treatment itself; here, host evolution and parasite evolution were clear, but coevolution was absent. Population mixing breaks an otherwise robust coevolutionary cycle. These findings advance our understanding of the repeatability of (co)evolution across noisy, ecologically realistic populations. John Wiley and Sons Inc. 2017-10-17 /pmc/articles/PMC6121849/ /pubmed/30283653 http://dx.doi.org/10.1002/evl3.27 Text en © 2017 The Author(s). Evolution Letters published by Wiley Periodicals, Inc. on behalf of Society for the Study of Evolution (SSE) and European Society for Evolutionary Biology (ESEB). This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Letters
Auld, Stuart K. J. R.
Brand, June
Environmental variation causes different (co) evolutionary routes to the same adaptive destination across parasite populations
title Environmental variation causes different (co) evolutionary routes to the same adaptive destination across parasite populations
title_full Environmental variation causes different (co) evolutionary routes to the same adaptive destination across parasite populations
title_fullStr Environmental variation causes different (co) evolutionary routes to the same adaptive destination across parasite populations
title_full_unstemmed Environmental variation causes different (co) evolutionary routes to the same adaptive destination across parasite populations
title_short Environmental variation causes different (co) evolutionary routes to the same adaptive destination across parasite populations
title_sort environmental variation causes different (co) evolutionary routes to the same adaptive destination across parasite populations
topic Letters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121849/
https://www.ncbi.nlm.nih.gov/pubmed/30283653
http://dx.doi.org/10.1002/evl3.27
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