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dc.contributor.authorBen-Jacob, Eshel
Lu, Mingyang
Schultz, Daniel
Onuchic, José N.
dc.date.accessioned 2014-11-14T17:45:22Z
dc.date.available 2014-11-14T17:45:22Z
dc.date.issued 2014
dc.identifier.citation Ben-Jacob, Eshel, Lu, Mingyang, Schultz, Daniel, et al.. "The physics of bacterial decision making." Frontiers in Cellular and Infection Microbiology, 4, (2014) Frontiers: http://dx.doi.org/10.3389/fcimb.2014.00154.
dc.identifier.urihttps://hdl.handle.net/1911/78272
dc.description.abstract The choice that bacteria make between sporulation and competence when subjected to stress provides a prototypical example of collective cell fate determination that is stochastic on the individual cell level, yet predictable (deterministic) on the population level. This collective decision is performed by an elaborated gene network. Considerable effort has been devoted to simplify its complexity by taking physics approaches to untangle the basic functional modules that are integrated to form the complete network: (1) A stochastic switch whose transition probability is controlled by two order parameters—population density and internal/external stress. (2) An adaptable timer whose clock rate is normalized by the same two previous order parameters. (3) Sensing units which measure population density and external stress. (4) A communication module that exchanges information about the cells' internal stress levels. (5) An oscillating gate of the stochastic switch which is regulated by the timer. The unique circuit architecture of the gate allows special dynamics and noise management features. The gate opens a window of opportunity in time for competence transitions, during which the circuit generates oscillations that are translated into a chain of short intervals with high transition probability. In addition, the unique architecture of the gate allows filtering of external noise and robustness against variations in circuit parameters and internal noise. We illustrate that a physics approach can be very valuable in investigating the decision process and in identifying its general principles. We also show that both cell-cell variability and noise have important functional roles in the collectively controlled individual decisions.
dc.language.iso eng
dc.publisher Frontiers
dc.rights Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
dc.title The physics of bacterial decision making
dc.type Journal article
dc.contributor.funder National Science Foundation
dc.contributor.funder Cancer Prevention and Research Institute of Texas
dc.contributor.funder Tauber Family Foundation
dc.contributor.funder Maguy-Glass Chair in Physics of Complex Systems, Tel Aviv University
dc.citation.journalTitle Frontiers in Cellular and Infection Microbiology
dc.contributor.org Center for Theoretical Biological Physics
dc.citation.volumeNumber 4
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.3389/fcimb.2014.00154
dc.identifier.pmcid PMC4214203
dc.identifier.pmid 25401094
dc.identifier.grantID PHY-1427654 (National Science Foundation)
dc.identifier.grantID NSF-MCB-1214457 (National Science Foundation)
dc.type.publication publisher version


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