Abstract

Cellular processes are inherently noisy, and the selection for accurate responses in presence of noise has likely shaped signalling networks. Here, we investigate the trade-off between accuracy of information transmission and its energetic cost for a mitogen-activated protein kinase (MAPK) signalling cascade. Our analysis of the pheromone response pathway of budding yeast suggests that dose-dependent induction of the negative transcriptional feedbacks in this network maximizes the information per unit energetic cost, rather than the information transmission capacity itself. We further demonstrate that futile cycling of MAPK phosphorylation and dephosphorylation has a measurable effect on growth fitness, with energy dissipation within the signalling cascade thus likely being subject to evolutionary selection. Considering optimization of accuracy versus the energetic cost of information processing, a concept well established in physics and engineering, may thus offer a general framework to understand the regulatory design of cellular signalling systems.

Cellular signalling networks provide information to the cell, but the trade-off between accuracy of information transfer and energetic cost of doing so has not been assessed. Here, the authors investigate a MAPK signalling cascade in budding yeast and find that information is maximised per unit energetic cost.

Details

Title
Design of a MAPK signalling cascade balances energetic cost versus accuracy of information transmission
Author
Alexander, Anders 1 ; Ghosh Bhaswar 2 ; Glatter Timo 3 ; Sourjik Victor 1   VIAFID ORCID Logo 

 Max Planck Institute for Terrestrial Microbiology, Marburg, Germany (GRID:grid.419554.8) (ISNI:0000 0004 0491 8361); LOEWE Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany (GRID:grid.452532.7) 
 Max Planck Institute for Terrestrial Microbiology, Marburg, Germany (GRID:grid.419554.8) (ISNI:0000 0004 0491 8361); LOEWE Center for Synthetic Microbiology (SYNMIKRO), Marburg, Germany (GRID:grid.452532.7); International Institute of Information Technology, Gachibowli, India (GRID:grid.452532.7) 
 Max Planck Institute for Terrestrial Microbiology, Marburg, Germany (GRID:grid.419554.8) (ISNI:0000 0004 0491 8361) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2423338626
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.