Reversible and noisy progression towards a commitment point enables adaptable and reliable cellular decision-making
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- dc.contributor.author Kuchina, Annaca
- dc.contributor.author Espinar, Lorenaca
- dc.contributor.author García Ojalvo, Jordica
- dc.contributor.author Süel, Gürol M.ca
- dc.date.accessioned 2015-06-02T08:11:10Z
- dc.date.available 2015-06-02T08:11:10Z
- dc.date.issued 2011ca
- dc.description.abstract Cells must make reliable decisions under fluctuating extracellular conditions, but also be flexible enough to adapt to such changes. How cells reconcile these seemingly contradictory requirements through the dynamics of cellular decision-making is poorly understood. To study this issue we quantitatively measured gene expression and protein localization in single cells of the model organism Bacillus subtilis during the progression to spore formation. We found that sporulation proceeded through noisy and reversible steps towards an irreversible, all-or-none commitment point. Specifically, we observed cell-autonomous and spontaneous bursts of gene expression and transient protein localization events during sporulation. Based on these measurements we developed mathematical population models to investigate how the degree of reversibility affects cellular decision-making. In particular, we evaluated the effect of reversibility on the 1) reliability in the progression to sporulation, and 2) adaptability under changing extracellular stress conditions. Results show that reversible progression allows cells to remain responsive to long-term environmental fluctuations. In contrast, the irreversible commitment point supports reliable execution of cell fate choice that is robust against short-term reductions in stress. This combination of opposite dynamic behaviors (reversible and irreversible) thus maximizes both adaptable and reliable decision-making over a broad range of changes in environmental conditions. These results suggest that decision-making systems might employ a general hybrid strategy to cope with unpredictably fluctuating environmental conditions.en
- dc.description.sponsorship GMS acknowledges support by NIH Grant No. NIGMS RO1 GM088428, Welch Foundation (Grant No. I-1674), and James S. McDonnell Foundation (Grant No. 220020141). JGO acknowledges financial support from the Ministerio de Ciencia e Innovación (Spain, Project No. FIS2009-13360) and the ICREA/nAcademia programme.en
- dc.format.mimetype application/pdfca
- dc.identifier.citation Kuchina A, Espinar L, García-Ojalvo J, Süel GM. Reversible and noisy progression towards a commitment point enables adaptable and reliable cellular decision-making. PLoS Computational Biology. 2011;7(11):e1002273. DOI: 10.1371/journal.pcbi.1002273ca
- dc.identifier.doi http://dx.doi.org/10.1371/journal.pcbi.1002273
- dc.identifier.issn 1553-734Xca
- dc.identifier.uri http://hdl.handle.net/10230/23710
- dc.language.iso engca
- dc.publisher Public Library of Science (PLoS)ca
- dc.relation.ispartof PLoS Computational Biology. 2011;7(11):e1002273
- dc.rights © Kuchina et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are crediteden
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.rights.uri https://creativecommons.org/licenses/by/4.0/
- dc.subject.other Bacterisca
- dc.subject.other Insecticidesca
- dc.title Reversible and noisy progression towards a commitment point enables adaptable and reliable cellular decision-makingen
- dc.type info:eu-repo/semantics/articleca
- dc.type.version info:eu-repo/semantics/publishedVersionca