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Organelle evolvability

All numerical experiments are performed by odna-sim.c, which takes different command-line parameters to do different experiments. The argument structure, explained further within the file, is [experiment] [expt param] [fitness penalty] [population size] [offspring number] [oDNAs per cell] [off-target mutation frequency] .

  • [experiment]:
    • 0 = adaptation proportion
    • 1 = adaptation time
    • 2 = dynamic environments
  • [expt param]:
    • (for adaptation experiments):
    • 0 = fine-grained steps
    • 1 = coarse-grained steps through parameter space
    • (for dynamic environments):
    • 0 = fine-grained steps
    • 1 = coarse-grained steps
    • 2, 3, 4 = fine-grained steps w/o mu evolution
  • [fitness penalty]:
    • 0 = -eps, 0 < h < 1
    • 1 = 4 eps (h-0.5)^2 - eps
    • 2 = -eps, h > 0.5
    • 3 = -eps, h > 0.1

For example (fast and simple):

./odna-sim.ce 4 1 0 20 2 100 0

Simulations produce output text files, which are plotted in Gnuplot by the various .gnuplot scripts. plot-all.sh invokes all these scripts to automatically produce the output; it also describes which plots correspond to which manuscript figures.

run-set.sh is a wrapper script to compile and run all experiments. By default these are run in parallel; see the file for how to serialise for machines without multiple cores.

Peer review edits

Following peer review, the range of simulated mutation rates was expanded. The simulation and plotting code for the new figures, along with a wrapper script, are in the rev directory. The protocol for running these experiments is analogous to the above; use run-set-rev.sh and rev-plot-all.sh as wrappers.

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Evolvability of organelle populations

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