Dataset: Model code for the EpiGen model used in Walworth et al. 2020 and example output

The EpiGen model is an individual-based model of adaptation modified from Fisher’s model in which a simulated population moves between a “new” and “ancestral” environment following a step function with varying frequencies. This model calculates the rate of adaptation of the population where adaption proceeds through both fast variation, low transmission and slow variation, high transmission (HT) modifications.

The model output is for the adaptation of a population of 1000 individuals to a fluctuating environment (50 generations selective pressure, 50 generations non-selective) over 15000 generations. Every row is a generation (time). Columns are different statistics characterizing the population of 1000 individuals.

• Column 1 is generation #,
• Column 2 is mean fitness at that time step,
• Column 3 is mean # of HT modifications  at that time step,
• Column 4 is mean number of LT modifications,
• Column 5 is cumulative distance traveled towards optimum by HT modifications,
• Column 6 is cum. distance traveled towards optimum by LT modifications,
• Column 7 is standard dev of number of HT modifications,
• Column 8 is standard dev of number of LT modifications,
• Column 9 is mean distance traveled toward optimum by HT modifications,
• Column 10 is sd of distance traveled toward optimum by HT modifications,
• Column 11 is mean distance travelled toward optimum by LT modifications, and
• Column 12 is sd of distance travelled toward optimum by LT modifications.

The model code is available in a .zip file: (see section data files). These files are also available in the following GitHub repository: https://github.com/BCODMO/EpiGen