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  4. Stochastic Responses May Allow Genetically Diverse Cell Populations to Optimize Performance with Simpler Signaling Networks

Stochastic Responses May Allow Genetically Diverse Cell Populations to Optimize Performance with Simpler Signaling Networks

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Author(s)
Govern, Christopher C.
•
Chakraborty, Arup K
Date Issued
August 2013
Journal
PLoS ONE
Publisher
Public Library of Science
Citation
Govern, Christopher C., and Arup K. Chakraborty. “Stochastic Responses May Allow Genetically Diverse Cell Populations to Optimize Performance with Simpler Signaling Networks.” Edited by Michael Polymenis. PLoS ONE 8, no. 8 (August 7, 2013): e65086.
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Final published version
Abstract
Two theories have emerged for the role that stochasticity plays in biological responses: first, that it degrades biological responses, so the performance of biological signaling machinery could be improved by increasing molecular copy numbers of key proteins; second, that it enhances biological performance, by enabling diversification of population-level responses. Using T cell biology as an example, we demonstrate that these roles for stochastic responses are not sufficient to understand experimental observations of stochastic response in complex biological systems that utilize environmental and genetic diversity to make cooperative responses. We propose a new role for stochastic responses in biology: they enable populations to make complex responses with simpler biochemical signaling machinery than would be required in the absence of stochasticity. Thus, the evolution of stochastic responses may be linked to the evolvability of different signaling machineries.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Chemical Engineering
Massachusetts Institute of Technology. Department of Chemistry
Ragon Institute of MGH, MIT and Harvard
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Creative Commons Attribution
http://creativecommons.org/licenses/by/2.5/
Persistent DSpace Link
http://hdl.handle.net/1721.1/81224
DOI of Published Version
https://doi.org/10.1371/journal.pone.0065086
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