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Zarazua-Osorio, B.

Publications and source records attributed to Zarazua-Osorio, B..

2 recordsLinked to original sources

Biophysical modeling reveals the transcriptional regulatory mechanism of Spo0A, the master regulator in starving Bacillus subtilis

In starving Bacillus subtilis bacteria, the initiation of two survival programs - biofilm formation and sporulation - is both controlled by the same phosphorylated master regulator Spo0A[~]P. Its gene, spo0A, is transcribed from two promoters, Pv and Ps, that are respectively regulated by RNAP holoenzymes bearing {sigma}A and {sigma}H. Notably, transcription is directly autoregulated by Spo0A[~]P binding sites known as 0A1, 0A2, and 0A3 box, located in between the two promoters. It remains unclear whether, at the onset of starvation, these boxes activate or repress spo0A expression, and whether the Spo0A[~]P transcriptional feedback plays a role in the increase in spo0A expression. Based on the experimental data of the promoter activities under systematic perturbation of the promoter architecture, we developed a biophysical model of transcription regulation of spo0A by Spo0A[~]P binding to each of the 0A boxes. The model predicts that Spo0A[~]P binding to its boxes does not affect the RNA polymerase recruitment to the promoters but instead affects the transcriptional initiation rate. Moreover, the effects of Spo0A[~]P binding to 0A boxes are mainly repressive and saturated early at the onset of starvation. Therefore, the increase in spo0A expression is mainly driven by the increase in RNAP holoenzyme levels. Additionally, we reveal that Spo0A[~]P affinity to 0A boxes is strongest at 0A3 and weakest at 0A2 and that there are attractive forces between the occupied 0A boxes. Our findings, in addition to clarifying how the sporulation master regulator is controlled, offer a framework to predict regulatory outcomes of complex gene-regulatory mechanisms. ImportanceCell differentiation is often critical for survival. In bacteria, differentiation decisions are controlled by transcriptional master regulators under transcriptional feedback control. Therefore, understanding how master regulators are transcriptionally regulated is required to understand differentiation. However, in many cases, underlying regulation is complex with multiple transcription factor binding sites and multiple promoters, making it challenging to dissect the exact mechanisms. Here, we address this problem for the B. subtilis master regulator Spo0A. Using a biophysical model, we quantitatively characterize the effect of individual transcription factor binding sites on each spo0A promoter. Further, the model allows to identify the specific transcription step that is affected by transcription factor binding. Such model is promising for the quantitative study of a wide range of master regulators involved in transcriptional feedback.

biophysics↗

The slowdown of growth rate controls the single-cell distribution of biofilm matrix production via a SinI-SinR-SlrR network

In Bacillus subtilis, a master regulator Spo0A controls several cell-differentiation pathways. Under moderate starvation, phosphorylated Spo0A (Spo0A~P) induces biofilm formation by indirectly activating genes controlling matrix production in a subpopulation of cells via a SinI-SinR-SlrR network. Under severe starvation, Spo0A~P induces sporulation by directly and indirectly regulating sporulation gene expression. However, what determines the heterogeneity of individual cell fates is not fully understood. In particular, it is still unclear why, despite being controlled by a single master regulator, biofilm matrix production and sporulation are mutually exclusive on a single-cell level. In this work, with mathematical modeling, we showed that the fluctuations in the growth rate and the intrinsic noise amplified by the bistability in the SinI-SinR-SlrR network could explain the single-cell distribution of matrix production. Moreover, we predicted an incoherent feed-forward loop: the decrease in the cellular growth rate activates matrix production by increasing in Spo0A phosphorylation level but represses it via changing the relative concentrations of SinR and SlrR. Experimental data provide evidence to support model predictions. In particular, we demonstrate how the degree to which matrix production and sporulation appear mutually exclusive is affected by genetic perturbations. ImportanceThe mechanisms of cell-fate decisions are fundamental to our understanding of multicellular organisms and bacterial communities. However, even for the best-studied model systems we still lack a complete picture of how phenotypic heterogeneity of genetically identical cells is controlled. Here, using B. subtilis as a model system, we employ a combination of mathematical modeling and experiments to explain the population-level dynamics and single-cell level heterogeneity of biofilm gene expression. The results demonstrate how the two cell fates, biofilm matrix production and sporulation, can appear mutually exclusive without explicitly inhibiting one another. Such a mechanism could be used in a wide range of other biological systems.

systems biology↗