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Robustness of DNA Looping Across Multiple Cell Divisions in Individual Bacteria

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Specialty Science
Date 2022 Aug 12
PMID 35960846
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Abstract

DNA looping has emerged as a central paradigm of transcriptional regulation, as it is shared across many living systems. One core property of DNA looping-based regulation is its ability to greatly enhance repression or activation of genes with only a few copies of transcriptional regulators. However, this property based on a small number of proteins raises the question of the robustness of such a mechanism with respect to the large intracellular perturbations taking place during growth and division of the cell. Here we address the issue of sensitivity to variations of intracellular parameters of gene regulation by DNA looping. We use the system as a prototype to experimentally identify the key features of the robustness of DNA looping in growing cells. Surprisingly, we observe time intervals of tight repression spanning across division events, which can sometimes exceed 10 generations. Remarkably, the distribution of such long time intervals exhibits memoryless statistics that is mostly insensitive to repressor concentration, cell division events, and the number of distinct loops accessible to the system. By contrast, gene regulation becomes highly sensitive to these perturbations when DNA looping is absent. Using stochastic simulations, we propose that the observed robustness to division emerges from the competition between fast, multiple rebinding events of repressors and slow initiation rate of the RNA polymerase. We argue that fast rebinding events are a direct consequence of DNA looping that ensures robust gene repression across a range of intracellular perturbations.

Citing Articles

Monitoring lineages of growing and dividing bacteria reveals an inducible memory of operon expression.

Guet C, Bruneaux L, Oikonomou P, Aldana M, Cluzel P Front Microbiol. 2023; 14:1049255.

PMID: 37485524 PMC: 10359894. DOI: 10.3389/fmicb.2023.1049255.


Robustness of DNA looping across multiple cell divisions in individual bacteria.

Chang C, Garcia-Alcala M, Saiz L, Vilar J, Cluzel P Proc Natl Acad Sci U S A. 2022; 119(33):e2200061119.

PMID: 35960846 PMC: 9388096. DOI: 10.1073/pnas.2200061119.

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