Literature DB >> 12387925

Alternative designs for a genetic switch: analysis of switching times using the piecewise power-law representation.

Michael A Savageau1.   

Abstract

Some genes are thought to be switched discontinuously ON or OFF in response to environmental or developmental stimuli, whereas other genes are thought to be switched in a continuously variable fashion. We have previously identified criteria that distinguish between discontinuous and continuous genetic switches for an inducible catabolic pathway. These two types of switches exhibit several additional characteristics, beyond their qualitatively distinct behaviors, that influence their natural selection. These characteristics include threshold value, magnitude of the input signal required for switching ('switching effort'), magnitude of the corresponding output signal, duty cycle, switching time, and robustness. In order to characterize the biological design principles governing such switches, we have developed mathematical models of generic gene circuits and analyzed their behavior. Here we report the results of a comparative study designed to identify essential differences in switching time. This study has been greatly facilitated by use of the piecewise power-law representation, which was first developed by systems engineers in the 1940s and adapted for biochemical systems in the early 1970s. With this approach, we have been able to derive analytical expressions for switching time. When the alternative designs are made as nearly equivalent as possible, by the method of mathematically controlled comparison, we find that the switching times for the continuous case are less than that for the corresponding discontinuous case. We also find that ON times are faster than OFF times in all cases. These results are discussed in the specific context of the inducible lactose operon of Escherichia coli.

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Year:  2002        PMID: 12387925     DOI: 10.1016/s0025-5564(02)00113-x

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  12 in total

1.  Automated construction and analysis of the design space for biochemical systems.

Authors:  Rick A Fasani; Michael A Savageau
Journal:  Bioinformatics       Date:  2010-09-07       Impact factor: 6.937

2.  Activation of the Escherichia coli marA/soxS/rob regulon in response to transcriptional activator concentration.

Authors:  Robert G Martin; Emily S Bartlett; Judah L Rosner; Michael E Wall
Journal:  J Mol Biol       Date:  2008-05-13       Impact factor: 5.469

3.  The interplay of multiple feedback loops with post-translational kinetics results in bistability of mycobacterial stress response.

Authors:  Abhinav Tiwari; Gábor Balázsi; Maria Laura Gennaro; Oleg A Igoshin
Journal:  Phys Biol       Date:  2010-08-23       Impact factor: 2.583

Review 4.  Design of the lac gene circuit revisited.

Authors:  Michael A Savageau
Journal:  Math Biosci       Date:  2011-03-21       Impact factor: 2.144

Review 5.  Bistable responses in bacterial genetic networks: designs and dynamical consequences.

Authors:  Abhinav Tiwari; J Christian J Ray; Jatin Narula; Oleg A Igoshin
Journal:  Math Biosci       Date:  2011-03-06       Impact factor: 2.144

6.  The timing of TNF and IFN-gamma signaling affects macrophage activation strategies during Mycobacterium tuberculosis infection.

Authors:  J Christian J Ray; Jian Wang; John Chan; Denise E Kirschner
Journal:  J Theor Biol       Date:  2008-01-20       Impact factor: 2.691

7.  Regulatory design governing progression of population growth phases in bacteria.

Authors:  Agustino Martínez-Antonio; Jason G Lomnitz; Santiago Sandoval; Maximino Aldana; Michael A Savageau
Journal:  PLoS One       Date:  2012-02-21       Impact factor: 3.240

8.  Multiscale Hy3S: hybrid stochastic simulation for supercomputers.

Authors:  Howard Salis; Vassilios Sotiropoulos; Yiannis N Kaznessis
Journal:  BMC Bioinformatics       Date:  2006-02-24       Impact factor: 3.169

9.  A bistable hysteretic switch in an activator-repressor regulated restriction-modification system.

Authors:  Kristen Williams; Michael A Savageau; Robert M Blumenthal
Journal:  Nucleic Acids Res       Date:  2013-04-29       Impact factor: 16.971

10.  Improved methods for the mathematically controlled comparison of biochemical systems.

Authors:  John H Schwacke; Eberhard O Voit
Journal:  Theor Biol Med Model       Date:  2004-06-04       Impact factor: 2.432

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