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Rapid evolution of thermal tolerance and phenotypic plasticity in variable environments

Authors: Schaum, C-Elisa; Buckling, Angus; Smirnoff; Yvon-Durocher;

Rapid evolution of thermal tolerance and phenotypic plasticity in variable environments

Abstract

These are the data and code to go with "Rapid evolution of thermal tolerance and phenotypic plasticity in variable environments" Figure 01 takes the following data/scripts: 20210610_Thally02_Figure01_plot_and_stats.R with track_keeper.csv and corr_Response growth .csv . These files contain growth rates per transfers for all selection environments throughout the experiment and growth rates in correlated environments during reciprocal transplants, respectively. Figure 02 takes the following data/scripts: 20210610_Thally02_Figure02_plot_and_stats.R with 20161120_res_logis_t000.csv and 20161123_resloglint300.csv . These files contain the output of the shapes of the growth curves (i.e. information on lag time , growth at µmax, K etc) for all samples in all selection environments at t0 and t300, respectively The remaining figures - position not clear at time of submission - take the following data/script. For plasticity in FRRF data, the script 20181204_FRRF_plasticity.R takes the FRRF raw data contained in allfvfmdata_thally_t300_t000.csv . Extracted parameters are in files CvaluesThally02.csv, psiPSI_slope_intercept.csv, and rP_extracted_values.csv and can be analysed using the R script extracted parameter plots.R . R script FRRF visualisation only .R is for visualisation only, as the title suggests. For comparing plasticity/growth , the data are in 20170327_giantbigtable.csv , and can be visualised/analysed in plast vs growth.R In order to recreate the AMOVAS based on SNVs, use all_variants_fixed-only_using_5x_depth_threshold.cvs with amova thally02.R For additional information, please contact elisa.schaum@uni-hamburg.de

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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