Literature DB >> 34953812

Switching off: The phenotypic transition to the uninduced state of the lactose uptake pathway.

Prasanna M Bhogale1, Robin A Sorg2, Jan-Willem Veening3, Johannes Berg4.   

Abstract

The lactose uptake pathway of E. coli is a paradigmatic example of multistability in gene regulatory circuits. In the induced state of the lac pathway, the genes comprising the lac operon are transcribed, leading to the production of proteins that import and metabolize lactose. In the uninduced state, a stable repressor-DNA loop frequently blocks the transcription of the lac genes. Transitions from one phenotypic state to the other are driven by fluctuations, which arise from the random timing of the binding of ligands and proteins. This stochasticity affects transcription and translation, and ultimately molecular copy numbers. Our aim is to understand the transition from the induced to the uninduced state of the lac operon. We use a detailed computational model to show that repressor-operator binding and unbinding, fluctuations in the total number of repressors, and inducer-repressor binding and unbinding all play a role in this transition. Based on the timescales on which these processes operate, we construct a minimal model of the transition to the uninduced state and compare the results with simulations and experimental observations. The induced state turns out to be very stable, with a transition rate to the uninduced state lower than 2×10-9 per minute. In contrast to the transition to the induced state, the transition to the uninduced state is well described in terms of a 2D diffusive system crossing a barrier, with the diffusion rates emerging from a model of repressor unbinding.
Copyright © 2021 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2021        PMID: 34953812      PMCID: PMC8790241          DOI: 10.1016/j.bpj.2021.12.027

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  33 in total

1.  Genetic regulatory mechanisms in the synthesis of proteins.

Authors:  F JACOB; J MONOD
Journal:  J Mol Biol       Date:  1961-06       Impact factor: 5.469

2.  DNA-Binding Kinetics Determines the Mechanism of Noise-Induced Switching in Gene Networks.

Authors:  Margaret J Tse; Brian K Chu; Mahua Roy; Elizabeth L Read
Journal:  Biophys J       Date:  2015-10-20       Impact factor: 4.033

3.  ENZYME INDUCTION AS AN ALL-OR-NONE PHENOMENON.

Authors:  A Novick; M Weiner
Journal:  Proc Natl Acad Sci U S A       Date:  1957-07-15       Impact factor: 11.205

4.  Bistable behavior in a model of the lac operon in Escherichia coli with variable growth rate.

Authors:  M Santillán
Journal:  Biophys J       Date:  2007-12-07       Impact factor: 4.033

5.  Exponential sensitivity of noise-driven switching in genetic networks.

Authors:  Pankaj Mehta; Ranjan Mukhopadhyay; Ned S Wingreen
Journal:  Phys Biol       Date:  2008-06-16       Impact factor: 2.583

6.  Stochastic phenotype transition of a single cell in an intermediate region of gene state switching.

Authors:  Hao Ge; Hong Qian; X Sunney Xie
Journal:  Phys Rev Lett       Date:  2015-02-17       Impact factor: 9.161

7.  Sugar recognition by CscB and LacY.

Authors:  Junichi Sugihara; Irina Smirnova; Vladimir Kasho; H Ronald Kaback
Journal:  Biochemistry       Date:  2011-12-01       Impact factor: 3.162

8.  Noise contributions in an inducible genetic switch: a whole-cell simulation study.

Authors:  Elijah Roberts; Andrew Magis; Julio O Ortiz; Wolfgang Baumeister; Zaida Luthey-Schulten
Journal:  PLoS Comput Biol       Date:  2011-03-10       Impact factor: 4.475

9.  Multistable decision switches for flexible control of epigenetic differentiation.

Authors:  Raúl Guantes; Juan F Poyatos
Journal:  PLoS Comput Biol       Date:  2008-11-28       Impact factor: 4.475

10.  Single cell kinetics of phenotypic switching in the arabinose utilization system of E. coli.

Authors:  Georg Fritz; Judith A Megerle; Sonja A Westermayer; Delia Brick; Ralf Heermann; Kirsten Jung; Joachim O Rädler; Ulrich Gerland
Journal:  PLoS One       Date:  2014-02-26       Impact factor: 3.240

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