New evolutionary dynamics emerge from phenotypic noise

ORAL

Abstract

Although population genetics in the diffusion limit has been well-studied for decades, evolutionary dynamics when the genotype-phenotype map is noisy—a reality for most evolving biological systems—remains unexplored. Here, we introduce a theory for evolutionary dynamics under phenotypic uncertainty and discover several new phenomena, including a new dependence of the dynamics on absolute fitness even at fixed population size. Next, we show our theory predicts "phenotype buoying," the ability of a low-fitness phenotype to exist at surprisingly high frequencies when carried by a high-fitness phenotype via a low genotype-to-phenotype mapping probability. We also discover that phenotype uncertainty creates "phenotype bridges" that accelerate fitness valley crossing. To validate our theory, we develop a new evolution simulation algorithm similar to the Wright-Fisher model, except ours is capable of capturing probabilistic genotype-phenotype mapping. Promisingly, our new diffusion limit of population genetics may explain the empirically observed importance of phenotype noise in chemotherapy resistant cancers.

*This work was supported by award T32GM144273 from the National Institute of General Medical Sciences, Hertz Foundation Fellowships (AS; VM), and a PD Soros Fellowship (VM). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of General Medical Sciences or the National Institutes of Health.

Presenters

  • Anna Sappington

    • Harvard Medical School/MIT

Authors

  • Anna Sappington

    • Harvard Medical School/MIT
  • Vaibhav Mohanty

    • Harvard University and MIT
  • Bonnie Berger

    • MIT
  • Eugene I Shakhnovich

    • Harvard University