Show simple item record Turko, Patrick Tellenbach, Christoph Keller, Esther Tardent, Nadine Keller, Barbara Spaak, Piet Wolinska, Justyna 2017-12-07T14:58:38Z 2017-12-07T14:58:38Z 2017-12-07
dc.identifier doi:10.5061/dryad.733tn
dc.description According to the Red Queen hypothesis, clonal diversity in asexual populations could be maintained by negative frequency-dependant selection by co-evolving parasites. If common clones are selected against and rare clones gain a concomitant advantage, we expect that clonal turnover should be faster during parasite epidemics than between them. We tested this hypothesis exploring field data of the Daphnia – Caullerya host-parasite system. The clonal make-up and turnover of the Daphnia host population was tracked with high temporal resolution from 1998 until 2013, using first allozyme markers and later microsatellite markers. Significant differences in the clonal composition between random and infected sub-samples of Daphnia populations were detected on six of seven tested occasions, confirming genetic specificity of the host-parasite interaction in this system. We used time series analysis to compare the rates of host clonal turnover to the incidence of parasitism, and found that Caullerya prevalence was significantly associated with microsatellite-based clonal turnover. As alternate hypotheses, we further tested whether turnover was related to a variety of biotic, abiotic, and host demographic parameters. Other significant correlates of turnover were cyanobacterial biomass and (weakly) temperature. Overall, parasitism seems to be a strong driver of host clonal turnover, in support of the Red Queen hypothesis.
dc.relation.haspart doi:10.5061/dryad.733tn/2
dc.subject Parasitism
dc.subject Coevolution
dc.subject Red Queen
dc.title Data from: Parasites driving host diversity: incidence of disease correlated with Daphnia clonal turnover
dc.type Article
dwc.ScientificName Daphnia
dwc.ScientificName Caullerya
dc.contributor.correspondingAuthor Turko, Patrick
prism.publicationName Evolution

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Title Time series data from Greifensee
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Description Contains all time series data files used in the analysis. These are: algae biomass;Daphnia species and MLG composition, inferred with both microsatellites and allozymes; caullerya abundance; Daphnia demographic parameters; oxygen profiles; and temperature profiles.
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