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Trading bits in the readout from a genetic network

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arxiv 2012.15817 v1 pith:N7BSAKHB submitted 2020-12-31 q-bio.MN

classification q-bio.MN
keywords informationbitslimitsconcentrationconcentrationsembryoextractgenetic
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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.

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  1. Optimization and variability can coexist

    q-bio.QM 2025-05 conditional novelty 6.0 of 10

    Near an optimum, performance landscapes have many soft parameter directions, so the entropy of parameter variation can be extensive even when average performance is essentially optimal.

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