Predicting Evolution Using Regulatory Architecture

Annu Rev Biophys. 2020 May 6:49:181-197. doi: 10.1146/annurev-biophys-070317-032939. Epub 2020 Feb 4.

Abstract

The limits of evolution have long fascinated biologists. However, the causes of evolutionary constraint have remained elusive due to a poor mechanistic understanding of studied phenotypes. Recently, a range of innovative approaches have leveraged mechanistic information on regulatory networks and cellular biology. These methods combine systems biology models with population and single-cell quantification and with new genetic tools, and they have been applied to a range of complex cellular functions and engineered networks. In this article, we review these developments, which are revealing the mechanistic causes of epistasis at different levels of biological organization-in molecular recognition, within a single regulatory network, and between different networks-providing first indications of predictable features of evolutionary constraint.

Keywords: epistasis; evolutionary constraint; gene regulation; pleiotropy; prediction; regulation networks.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Epistasis, Genetic
  • Evolution, Molecular*
  • Gene Regulatory Networks
  • Phenotype
  • Systems Biology / methods*