Reversible and noisy progression towards a commitment point enables adaptable and reliable cellular decision-making

Kuchina, Anna; Espinar, Lorena; García Ojalvo, Jordi; Süel, Gürol M.

doi:http://dx.doi.org/10.1371/journal.pcbi.1002273

Reversible and noisy progression towards a commitment point enables adaptable and reliable cellular decision-making

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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.1002273

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.