English

Dynamical phases in growing populations: understanding recovery from bottlenecks

Populations and Evolution 2022-06-28 v2 Statistical Mechanics

Abstract

Since steep declines in a population's size also typically alter its composition, population bottlenecks are considered highly important for evolution. However, despite such significance, the mechanisms governing the impact of a given population bottleneck remain poorly understood. In this context, we show that long-term post-bottleneck outcomes can depend crucially on the rate at which a diminished population grows whilst recovering. That is, two otherwise identical populations, each having undergone the same bottleneck, can fixate on dramatically different demographics due to different rates of post-bottleneck growth. This behaviour is moreover shown to change non-trivially with different levels of mutation. The underlying mechanism can be traced to intrinsic fluctuations whose standard deviation decreases in time with the inverse square root of the growing population size. Crucially, such decreasing fluctuations couple to the underlying dynamics and result in distinct regimes of (non-equilibrium) demographic behaviour, delimited by abrupt transitions at critical population sizes. Seen through this lens, growth and mutation alter evolutionary outcomes by changing the duration and character of dynamical phases; a feature that we speculate may be of generic importance across many systems.

Keywords

Cite

@article{arxiv.2202.08394,
  title  = {Dynamical phases in growing populations: understanding recovery from bottlenecks},
  author = {Emanuele Crosato and Jeffrey N. Philippson and Shashi Thutupalli and Richard G. Morris},
  journal= {arXiv preprint arXiv:2202.08394},
  year   = {2022}
}