DOI: 10.5061/dryad.g79cnp5w6
title: Data for: Temperature and intraspecific variation affect host-parasite interactions

description: Parasites play key roles in regulating aquatic ecosystems, yet the impact
 of climate warming on their ecology and disease transmission remains
 poorly understood. Isolating the effect of warming is challenging as
 transmission involves multiple interacting species and potential
 intraspecific variation in temperature responses of one or more of these
 species. Here, we leverage a wide-ranging mosquito species and its
 facultative parasite as a model system to investigate the impact of
 temperature on host-parasite interactions and disease transmission. We
 conducted a common garden experiment measuring parasite growth and
 infection rates at seven temperatures using 12 field-collected parasite
 populations and a single mosquito population. We find that both
 free-living growth rates and infection rates varied with temperature,
 which were highest at 18-24.5°C and 13°C, respectively. Further, we find
 intraspecific variation in peak performance temperature reflecting
 patterns of local thermal adaptation—parasite populations from warmer
 source environments typically had higher thermal optima for free-living
 growth rates. For infection rates, we found a significant interaction
 between parasite population and nonlinear effects of temperature. These
 findings underscore the need to consider both host and parasite thermal
 responses, as well as intraspecific variation in thermal responses, when
 predicting the impacts of climate change on disease in aquatic ecosystems.
description: # Data from "Temperature and intraspecific variation affect
 host-parasite interactions" *** Date modified: 09-09-2023 Dataset
 Metadata === We leverage a wide-ranging mosquito species and its
 facultative parasite as a model system to investigate the impact of
 temperature on host-parasite interactions and disease transmission. We
 conducted a common garden experiment measuring parasite growth and
 infection rates at seven temperatures using 12 field-collected parasite
 populations and a single mosquito population. ## Description of the data
 and file structure The data for this study are in 3 files. "infection
 data\_final.csv" has data on the number of mosquito larvae infected
 and melanized from the infection experiment manipulating Lambornella
 parasite population and temperature. "thermal performance
 data\_final.csv" has data on the number of cells per 100/ml from the
 experiment measuring growth rates of the free-living ciliate populations
 at 6 temperatures. "bioclim\_data\_final.csv" has data on the 19
 bioclimatic variables for the 12 locations from which ciliates were
 collected. Bioclim variables are from Worldclim where the description of
 the variables has been provided below and can be found at
 https://www.worldclim.org/data/bioclim.html. The code to run the analysis
 and reproduce figures are in the files "Rev2\_FINAL lambornella
 performance code.R" and "Rev2\_FINAL Infection plots.R". *
 Variables: * tray: the tray in which the mosquitoes were reared, as there
 were multiple trays per temperature treatment. * temperature: The
 incubation temperature in degrees Celsius. * Lambo\_pop: a unique ID for
 the 12 Lambornella populations. * num\_infected: The number of mosquitoes
 infected out of 5 possible. * num\_melanized: The number of mosquitoes
 with melanization spots out of 5 possible. * day: the day of the
 experiment. * color: a color that corresponds to one of the 12 Lambornella
 populations. * 5C to 28C: the six temperature treatments for the
 Lambornella thermal performance experiment. * Treehole\_ID: a unique ID
 for the 9 treehole mosquito populations. * lat: latitude * long: longitude
 * bio\_1: Annual Mean Temperature in Celsius * bio\_2: Mean Diurnal Range
 (Mean of monthly (max temp - min temp)) * bio\_3: Isothermality
 (BIO2/BIO7) (×100) * bio\_4: Temperature Seasonality (standard deviation
 ×100) * bio\_5: Max Temperature of Warmest Month in Celsius * bio\_6: Min
 Temperature of Coldest Month in Celsius * bio\_7: Temperature Annual Range
 (BIO5-BIO6) * bio\_8: Mean Temperature of Wettest Quarter in Celsius *
 bio\_9: Mean Temperature of Driest Quarter in Celsius * bio\_10: Mean
 Temperature of Warmest Quarter in Celsius * bio\_11: Mean Temperature of
 Coldest Quarter in Celsius * bio\_12: Annual Precipitation * bio\_13:
 Precipitation of Wettest Month in mm * bio\_14: Precipitation of Driest
 Month in mm * bio\_15: Precipitation Seasonality (Coefficient of
 Variation) * bio\_16: Precipitation of Wettest Quarter in mm * bio\_17:
 Precipitation of Driest Quarter in mm * bio\_18: Precipitation of Warmest
 Quarter in mm * bio\_19: Precipitation of Coldest Quarter in mm ##
 Code/Software R code to run the analysis and reproduce figures 3 and 4 are
 in "Rev2\_FINAL Infection plots.R" and figures 5 and 6 are in
 "Rev2\_FINAL lambornella performance code.R".