Trading bits in the readout from a genetic network
arXiv:2012.15817 · doi:10.1073/pnas.2109011118
Abstract
In genetic networks, information of relevance to the organism is represented by the concentrations of transcription factor molecules. In order to extract this information the cell must effectively "measure"' these concentrations, but there are physical limits to the precision of these measurements. We explore this trading between bits of precision in measuring concentration and bits of relevant information that can be extracted, using the gap gene network in the early fly embryo as an example. We argue that cells in the embryo can extract all the available information about their position, but only if the concentration measurements approach the physical limits to information capacity. These limits necessitate the observed proliferation of enhancer elements with sensitivities to combinations of transcription factors, but fine tuning of the parameters of these multiple enhancers is not required.
References in corpus (10)
- The information bottleneck method
- Universally Sloppy Parameter Sensitivities in Systems Biology
- Information flow and optimization in transcriptional control
- Optimal decoding of information from a genetic network
- Optimizing information flow in small genetic networks. I
- Distance matters: the impact of gene proximity in bacterial gene regulation
- Information capacity of genetic regulatory elements
- Intrinsic limits to gene regulation by global crosstalk
- Optimal Prediction by Cellular Signaling Networks
- Physical limit to concentration sensing in a changing environment