The timings of host diapause and epidemic progression mediate host genetic diversity and future epidemic size in Daphnia-parasite populations
Cite this dataset
Auld, Stuart; Bussière, Luc; Brand, June (2023). The timings of host diapause and epidemic progression mediate host genetic diversity and future epidemic size in Daphnia-parasite populations [Dataset]. Dryad. https://doi.org/10.5061/dryad.tdz08kq21
Epidemics commonly exert parasite-mediated selection and cause declines in host population genetic diversity. This could lead to evolution of resistance in the long-term and smaller subsequent epidemics. Alternatively, the loss of genetic diversity could increase host vulnerability to future disease spread and larger future epidemics. Matters are made more complex by the fact that a great many host organisms produce diapausing life stages in response to environmental change (often as a result of sexual reproduction) e.g., plant seeds and invertebrate resting eggs. These diapausing stages can disrupt the relationship between past epidemics, host genetic diversity and future epidemics because they allow host dispersal through time. Specifically, temporally dispersing hosts avoid infection and thus selection from contemporary parasites, and also archive genetic variation for the future. We studied 80 epidemics in 20 semi-natural populations of the temporally dispersing crustacean Daphnia magna and its sterilising bacterial parasite Pasteuria ramosa, and half of these populations experienced a simulated environmental disturbance treatment. We found that early initiation of diapause relative to the timing of the epidemic led to greater host genetic diversity and reduced epidemic size in the subsequent year, but this was unaffected by environmental disturbance.
These data were collected from twenty semi-natural outdoor crustacean-bacteria host-parasite populations over the course of four years (a total of eighty epidemics). The host was Daphnia magna and the parasite was the sterilising bacterium, Pasteuria ramosa. These data comprise of Pasteuria epidemic size, timing of mid epidemic and epidemic scaling constant (rate of infection), total host investment in sexual (diapausing) resting eggs, timing of sex, and sex scaling constant (rate at which hosts invest in sexual reproduction/diapause), expected heterozygosity and fiuture epidemic size for each population. Both epidemic size/host investment in sex and timings of epidemics and host sex were determined using three-parameter logistic models fitted to data from each invividual epidemic. These data have been used in structural equation modelling.
Natural Environment Research Council, Award: NE/L011549/1