Data from: Long-term dynamics of adaptation in asexual populations
| Main Authors: | Wiser, Michael J., Ribeck, Noah, Lenski, Richard E. |
|---|---|
| Format: | info dataset Journal |
| Terbitan: |
, 2014
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4983175 |
Daftar Isi:
- Experimental studies of evolution have increased greatly in recent years, stimulated by the growing power of genomic tools. However, organismal fitness remains the ultimate metric for interpreting these experiments, and the dynamics of fitness remain poorly understood over long timescales. Here, we examine fitness trajectories for 12 Escherichia coli populations during 50,000 generations. Mean fitness appears to increase without bound, consistent with a power law. We also derive this power-law relation theoretically by incorporating clonal interference and diminishing-returns epistasis into a dynamical model of changes in mean fitness over time.
- Concatenated.LTEE.data.all.csvThis is the primary data file for the fitness competitions of each individual population against the oppositely-marked ancestor for as many of the 50,000 generations as could be measured in our standard competitions.Concatenated.40k.v.50kThis is the data file of the competitions against a 40,000 generation clone, from evolved populations at both 40,000 and 50,000 generations.Final.Dryad.ScriptThis is the analysis script for the empirical data, written to be copy and pasted into an R terminal.adaptation model_diminishing returns_continuous_notatedThis is the Mathematica Notebook file for the theoretical and simulation portion of the paper.adaptation model_diminishing returns_continuous_notatedThis is a pdf of the Mathematica Notebook file.