Predicting Evolution Using Regulatory Architecture

Author:

Nghe Philippe1,de Vos Marjon G.J.2,Kingma Enzo3,Kogenaru Manjunatha4,Poelwijk Frank J.5,Laan Liedewij3,Tans Sander J.36

Affiliation:

1. Laboratoire de Biochimie, UMR CBI 8231, ESPCI Paris, PSL Research University, 75005 Paris, France

2. University of Groningen, GELIFES, 9747 AG Groningen, The Netherlands

3. Bionanoscience Department, Delft University of Technology, 2629HZ Delft, The Netherlands

4. Department of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom

5. cBio Center, Department of Data Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA

6. AMOLF, 1098 XG Amsterdam, The Netherlands;

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.

Publisher

Annual Reviews

Subject

Cell Biology,Biochemistry,Bioengineering,Structural Biology,Biophysics

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