Data from: Divergent evolution peaks under intermediate population bottlenecks during bacterial experimental evolution
Vogwill, Tom, Imperial College London
Phillips, Robyn L., University of Oxford
Gifford, Danna R., University of Oxford
MacLean, R. Craig, University of Oxford
Published Jul 05, 2016 on Dryad.
Cite this dataset
Vogwill, Tom; Phillips, Robyn L.; Gifford, Danna R.; MacLean, R. Craig (2016). Data from: Divergent evolution peaks under intermediate population bottlenecks during bacterial experimental evolution [Dataset]. Dryad. https://doi.org/10.5061/dryad.640j4
There is growing evidence that parallel molecular evolution is common, but its causes remain poorly understood. Demographic parameters such as population bottlenecks are predicted to be major determinants of parallelism. Here, we test the hypothesis that bottleneck intensity shapes parallel evolution by elucidating the genomic basis of adaptation to antibiotic-supplemented media in hundreds of populations of the bacterium Pseudomonas fluorescens Pf0-1. As expected, bottlenecking decreased the rate of phenotypic and molecular adaptation. Surprisingly, bottlenecking had no impact on the likelihood of parallel adaptive molecular evolution at a genome-wide scale. However, bottlenecking had a profound impact on the genes involved in antibiotic resistance. Specifically, under either intense or weak bottlenecking, resistance predominantly evolved by strongly beneficial mutations which provide high levels of antibiotic resistance. In contrast with intermediate bottlenecking regimes, resistance evolved by a greater diversity of genetic mechanisms, significantly reducing the observed levels of parallel genetic evolution. Our results demonstrate that population bottlenecking can be a major predictor of parallel evolution, but precisely how may be more complex than many simple theoretical predictions.
Vogwill et al Proc B divergent evolution and bottlenecks
Growth rates and mutation data for Vogwill et al (divergent evolution and bottlenecks). Tab 1 contains growth rates, tab 2 contains the identified mutations for each clone.