Login / Signup

Evolutionary potential of transcription factors for gene regulatory rewiring.

Claudia IglerMato LagatorGasper TkacikJonathan P BollbackCălin C Guet
Published in: Nature ecology & evolution (2018)
Gene regulatory networks evolve through rewiring of individual components-that is, through changes in regulatory connections. However, the mechanistic basis of regulatory rewiring is poorly understood. Using a canonical gene regulatory system, we quantify the properties of transcription factors that determine the evolutionary potential for rewiring of regulatory connections: robustness, tunability and evolvability. In vivo repression measurements of two repressors at mutated operator sites reveal their contrasting evolutionary potential: while robustness and evolvability were positively correlated, both were in trade-off with tunability. Epistatic interactions between adjacent operators alleviated this trade-off. A thermodynamic model explains how the differences in robustness, tunability and evolvability arise from biophysical characteristics of repressor-DNA binding. The model also uncovers that the energy matrix, which describes how mutations affect repressor-DNA binding, encodes crucial information about the evolutionary potential of a repressor. The biophysical determinants of evolutionary potential for regulatory rewiring constitute a mechanistic framework for understanding network evolution.
Keyphrases
  • transcription factor
  • dna binding
  • genome wide
  • human health
  • healthcare
  • dna methylation
  • gene expression
  • risk assessment
  • social media