Literature DB >> 23410378

Growth-rate-dependent dynamics of a bacterial genetic oscillator.

Matteo Osella1, Marco Cosentino Lagomarsino.   

Abstract

Gene networks exhibiting oscillatory dynamics are widespread in biology. The minimal regulatory designs giving rise to oscillations have been implemented synthetically and studied by mathematical modeling. However, most of the available analyses generally neglect the coupling of regulatory circuits with the cellular "chassis" in which the circuits are embedded. For example, the intracellular macromolecular composition of fast-growing bacteria changes with growth rate. As a consequence, important parameters of gene expression, such as ribosome concentration or cell volume, are growth-rate dependent, ultimately coupling the dynamics of genetic circuits with cell physiology. This work addresses the effects of growth rate on the dynamics of a paradigmatic example of genetic oscillator, the repressilator. Making use of empirical growth-rate dependencies of parameters in bacteria, we show that the repressilator dynamics can switch between oscillations and convergence to a fixed point depending on the cellular state of growth, and thus on the nutrients it is fed. The physical support of the circuit (type of plasmid or gene positions on the chromosome) also plays an important role in determining the oscillation stability and the growth-rate dependence of period and amplitude. This analysis has potential application in the field of synthetic biology, and suggests that the coupling between endogenous genetic oscillators and cell physiology can have substantial consequences for their functionality.

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Year:  2013        PMID: 23410378     DOI: 10.1103/PhysRevE.87.012726

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  6 in total

Review 1.  Optimization of industrial microorganisms: recent advances in synthetic dynamic regulators.

Authors:  Byung Eun Min; Hyun Gyu Hwang; Hyun Gyu Lim; Gyoo Yeol Jung
Journal:  J Ind Microbiol Biotechnol       Date:  2016-11-10       Impact factor: 3.346

2.  Stochastic timing in gene expression for simple regulatory strategies.

Authors:  Alma Dal Co; Marco Cosentino Lagomarsino; Michele Caselle; Matteo Osella
Journal:  Nucleic Acids Res       Date:  2017-02-17       Impact factor: 16.971

3.  Effects of downstream genes on synthetic genetic circuits.

Authors:  Takefumi Moriya; Masayuki Yamamura; Daisuke Kiga
Journal:  BMC Syst Biol       Date:  2014-12-08

4.  Division rate, cell size and proteome allocation: impact on gene expression noise and implications for the dynamics of genetic circuits.

Authors:  François Bertaux; Samuel Marguerat; Vahid Shahrezaei
Journal:  R Soc Open Sci       Date:  2018-03-21       Impact factor: 2.963

5.  Synthetic biology tools for engineering Goodwin oscillation in Trypanosoma brucei brucei.

Authors:  Yanika Borg; Sam Alsford; Vasos Pavlika; Alexei Zaikin; Darren N Nesbeth
Journal:  Heliyon       Date:  2022-02-03

6.  Dependence of bacterial growth rate on dynamic temperature changes.

Authors:  Abhishek Dey; Venkat Bokka; Shaunak Sen
Journal:  IET Syst Biol       Date:  2020-04       Impact factor: 1.615

  6 in total

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