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AbstractHow can changes in growth rate affect the regulatory networks behavior and the outcomes of cellular differentiation? We address this question by focusing on starvation response in sporulating Bacillus subtilis. We show that the activity of sporulation master regulator Spo0A increases with decreasing cellular growth rate. Using a mathematical model of the phosphorelay—the network controlling Spo0A—we predict that this increase in Spo0A activity can be explained by the phosphorelay protein accumulation and lengthening of the period between chromosomal replication events caused by growth slowdown. As a result, only cells growing slower than a certain rate reach threshold Spo0A activity necessary for sporulation. This growth threshold model accurately predicts cell fates and explains the distribution of sporulation deferral times. We confirm our predictions experimentally and show that the concentration rather than activity of phosphorelay proteins is affected by the growth slowdown. We conclude that sensing the growth rates enables cells to indirectly detect starvation without the need for evaluating specific stress signals.
Spores, Bacterial, Medicine (General), QH301-705.5, phosphorelay, Articles, Gene Expression Regulation, Bacterial, Chromosomes, Bacterial, Models, Theoretical, Culture Media, R5-920, Bacterial Proteins, B. subtilis, Biology (General), signal integration, Bacillus subtilis, Transcription Factors
Spores, Bacterial, Medicine (General), QH301-705.5, phosphorelay, Articles, Gene Expression Regulation, Bacterial, Chromosomes, Bacterial, Models, Theoretical, Culture Media, R5-920, Bacterial Proteins, B. subtilis, Biology (General), signal integration, Bacillus subtilis, Transcription Factors
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 37 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |