Maximal information transmission is compatible with ultrasensitive biological pathways


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Date

2019-11-15

Publication Type

Journal Article

ETH Bibliography

yes

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Abstract

Cells are often considered input-output devices that maximize the transmission of information by converting extracellular stimuli (input) via signaling pathways (communication channel) to cell behavior (output). However, in biological systems outputs might feed back into inputs due to cell motility, and the biological channel can change by mutations during evolution. Here, we show that the conventional channel capacity obtained by optimizing the input distribution for a fixed channel may not reflect the global optimum. In a new approach we analytically identify both input distributions and input-output curves that optimally transmit information, given constraints from noise and the dynamic range of the channel. We find a universal optimal input distribution only depending on the input noise, and we generalize our formalism to multiple outputs (or inputs). Applying our formalism to Escherichia coli chemotaxis, we find that its pathway is compatible with optimal information transmission despite the ultrasensitive rotary motors.

Publication status

published

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Volume

9 (1)

Pages / Article No.

16898

Publisher

Nature

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Funding

169978 - A microscale analysis of the causes and consequences of the spatial arrangement of biological functions in microbial consortia (SNF)

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