Trading bits in the readout from a genetic network

Marianne Bauer, Mariela D Petkova, Thomas Gregor, Eric F Wieschaus, William Bialek (2021). Proceedings of the National Academy of Science 118 (46): e2109011118.

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 effec- tively “measure” these concentrations, but there are physical lim- its 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 measure- ments 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.

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