Data from: Haploids adapt faster than diploids across a range of environments

We apply theory that relates the rates of adaptation and measured effective population sizes to the properties of beneficial mutations. We obtained rough estimates of the average selection coefficients in haploids between 2-10% for these first selected mutations. Results were consistent with semi-dominant to dominant mutations in four environments and recessive to additive mutations in two other environments.

These results are consistent with theory that predicts haploids should evolve faster than diploids at large population sizes.

Usage notes

Raw data to calculate rate of adaptation Raw dataset for rate of adaptation calculations (Figure 1) and related statistics. dataall.csv R code to analyze raw data for rate of adaptation Competition Analysis.R Raw data to calculate effective population sizes datacount.csv R code to analayze effective population sizes R code used to analyze effective population sizes; Figure 2 Cell Count Ne.R R code to determine our best estimate of the dominance coefficient in each environment R code to produce figures 3, S4, S5 -- what is the best estimate of dominance?

Note, competition and effective population size R code must be run first in the same session. what is h.R