Trading bits in the readout from a genetic network

Marianne Bauer, Mariela D. Petkova, Thomas Gregor, Eric F. Wieschaus, William Bialek

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In the regulation of gene expression, information of relevance to the organism is represented by the concentrations of transcription factor molecules. To extract this information the cell must effectively "measure" these concentrations, but there are physical limits to the precision of these measurements. We use the gap gene network in the early fly embryo as an example of the tradeoff between the precision of concentration measurements and the transmission of relevant information. For thresholded measurements we find that lower thresholds are more important, and fine tuning is not required for near-optimal information transmission. We then consider general sensors, constrained only by a limit on their information capacity, and find that thresholded sensors can approach true information theoretic optima. The information theoretic approach allows us to identify the optimal sensor for the entire gap gene network and to argue that the physical limitations of sensing necessitate the observed multiplicity of enhancer elements, with sensitivities to combinations rather than single transcription factors.

Original languageEnglish (US)
JournalProceedings of the National Academy of Sciences of the United States of America
Volume118
Issue number46
DOIs
StatePublished - Nov 16 2021

All Science Journal Classification (ASJC) codes

  • General

Keywords

  • development
  • gene regulation
  • information bottleneck
  • sensing

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