Genetic slippage after sex maintains diversity for parasite resistance in a natural host population

Data associated to the manuscript:<br> Ameline, C., Vögtli, F., Andras, J.P., Dexter, E., Engelstädter, J., Ebert, D., 2022. Genetic slippage after sex maintains diversity for parasite resistance in a natural host population. Science Advances 8(46):eabn0051, DOI: 10.1126/sciadv.abn0051 <br> <br> List of files: <br> <br> ################################################################## <br> Script #1: sampling and hatching plots <br> <br> - dynamics_ScAdv_sampling-hatching.R: R script <br> The R script uses the following files: <br> <br> 1. Field monitoring of resistance, prevalence and ephippia laying <br> - chh.txt: resistotype, prevalence and ephippia laying data for 2010 to 2018 - chh4l.txt: same as chh, but with 4-latter resistotypes for the hatching plot - chhcolorcode.txt: color code for resistotypes - chhn.txt: sample sizes to annotate Fig. 1 - resstat.txt: resistotype values of each P. ramosa isolate for each year for mean and se calculation - chh2021.txt: sampling data for 2020 and 2021 for Fig. S8 <br> 2. Slippage plot <br> - slippage.txt: data for slippage plot, Fig. 2 <br> 3. Hatching plots <br> - prophatch_all_genos.xlsx: for calculations of expected resistotypes proportions from hatching of resting eggs - prophatch_bbDDfreqCE.xlsx: same as above - legend_chhhatching_expected.png: legend of hatching figures - scatterhatch.txt: for Fig. 4 - legend_scatterhatch.png: legend Fig. 4 <br> 4. Hathcing experiment Fig. S3 <br> figure - eggbanknum.csv - eggbankrpe.txt - eggbank14.txt <br> stats - spring14_hatch.txt - spring14eggbank.txt - spring15eggbank.txt - spring16eggbank.txt - spring18eggbank.txt <br> 5. Resting stages laying, counting and hatching success Fig. S2 <br> - hatchdates.txt - hatching14151718.txt <br> <br> ################################################################## <br> Script #2: modelling the genetic model of resistance using peas and matrices <br> <br> - dynamics_ScAdv_modelling.R: R script <br> The R script uses the following files: <br> <br> - chh4l.txt: to get the resistotype proportions at each timepoint <br> user input of allele frequency within the different resistotypes: - freq_all_genos.csv - freq_all.csv - freq_all_bbDDfreqCE.xlsx - freq_all_onegeno.xlsx <br> output files from the script - prophatch_all_genos.xlsx - prophatch_all_onegeno.xlsx - prophatch_bbDDfreqCE.xlsx <br> <br> ################################################################## <br> Script #3: environmental variables - Fig. S1 <br> <br> - dynamics_ScAdv_env.R: R script <br> The R script uses the following files: <br> <br> - chh.txt: resistotype, prevalence and ephippia laying data for 2010 to 2018 - chh_temp_201119.csv: data from temperature logger in the pond - chhvar.txt: sampling variables: water level, daphnia species, sexes, density. <br> <br> ##################################################################