Dynamical Principles of Two-Component Genetic Oscillators

Genetic oscillators based on the interaction of a small set of molecular components have been shown to be involved in the regulation of the cell cycle, the circadian rhythms, or the response of several signaling pathways. Uncovering the functional properties of such oscillators then becomes important for the understanding of these cellular processes and for the characterization of fundamental properties of more complex clocks. Here, we show how the dynamics of a minimal two-component oscillator is drastically affected by its genetic implementation. We consider a repressor and activator element combined in a simple logical motif. While activation is always exerted at the transcriptional level, repression is alternatively operating at the transcriptional (Design I) or post-translational (Design II) level. These designs display differences on basic oscillatory features and on their behavior with respect to molecular noise or entrainment by periodic signals. In particular, Design I induces oscillations with large activator amplitudes and arbitrarily small frequencies, and acts as an “integrator” of external stimuli, while Design II shows emergence of oscillations with finite, and less variable, frequencies and smaller amplitudes, and detects better frequency-encoded signals (“resonator”). Similar types of stimulus response are observed in neurons, and thus this work enables us to connect very different biological contexts. These dynamical principles are relevant for the characterization of the physiological roles of simple oscillator motifs, the understanding of core machineries of complex clocks, and the bio-engineering of synthetic oscillatory circuits.

[1]  M. Ptashne,et al.  Genes and Signals , 2001 .

[2]  J. Levine,et al.  Surfing the p53 network , 2000, Nature.

[3]  Eugene M. Izhikevich,et al.  Neural excitability, Spiking and bursting , 2000, Int. J. Bifurc. Chaos.

[4]  Ovidiu Lipan,et al.  The use of oscillatory signals in the study of genetic networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[5]  A. Levine,et al.  Surfing the p53 network , 2000, Nature.

[6]  Jeff Hasty,et al.  Engineered gene circuits , 2002, Nature.

[7]  Jeff Hasty,et al.  Designer gene networks: Towards fundamental cellular control. , 2001, Chaos.

[8]  O. Pourquié The Segmentation Clock: Converting Embryonic Time into Spatial Pattern , 2003, Science.

[9]  James R. Johnson,et al.  Oscillations in NF-κB Signaling Control the Dynamics of Gene Expression , 2004, Science.

[10]  A. Arkin,et al.  Stochastic amplification and signaling in enzymatic futile cycles through noise-induced bistability with oscillations. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[11]  T. Elston,et al.  Stochasticity in gene expression: from theories to phenotypes , 2005, Nature Reviews Genetics.

[12]  S. Leibler,et al.  Mechanisms of noise-resistance in genetic oscillators , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[13]  J. Hopfield,et al.  From molecular to modular cell biology , 1999, Nature.

[14]  A. Hoffmann,et al.  The I (cid:1) B –NF-(cid:1) B Signaling Module: Temporal Control and Selective Gene Activation , 2022 .

[15]  Andrew W. Murray,et al.  The Ups and Downs of Modeling the Cell Cycle , 2004, Current Biology.

[16]  G. Ermentrout,et al.  Analysis of neural excitability and oscillations , 1989 .

[17]  Uri Alon,et al.  Dynamics of the p53-Mdm2 feedback loop in individual cells , 2004, Nature Genetics.

[18]  James E. Ferrell,et al.  Systems-Level Dissection of the Cell-Cycle Oscillator: Bypassing Positive Feedback Produces Damped Oscillations , 2005, Cell.

[19]  Daniel B. Forger,et al.  Stochastic simulation of the mammalian circadian clock. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[20]  J. Paulsson Summing up the noise in gene networks , 2004, Nature.

[21]  Julian Lewis Autoinhibition with Transcriptional Delay A Simple Mechanism for the Zebrafish Somitogenesis Oscillator , 2003, Current Biology.

[22]  M. Elowitz,et al.  A synthetic oscillatory network of transcriptional regulators , 2000, Nature.

[23]  Paul Nurse,et al.  Systems biology: Understanding cells , 2003, Nature.

[24]  H. Hirata,et al.  Oscillatory Expression of the bHLH Factor Hes1 Regulated by a Negative Feedback Loop , 2002, Science.

[25]  D. Gillespie Exact Stochastic Simulation of Coupled Chemical Reactions , 1977 .

[26]  W. Ebeling Stochastic Processes in Physics and Chemistry , 1995 .

[27]  A. Hoffmann,et al.  The IkappaB-NF-kappaB signaling module: temporal control and selective gene activation. , 2002, Science.

[28]  A. Goldbeter,et al.  Robustness of circadian rhythms with respect to molecular noise , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[29]  Ryoichiro Kageyama,et al.  Instability of Hes7 protein is crucial for the somite segmentation clock , 2004, Nature Genetics.

[30]  L. Serrano,et al.  Engineering stability in gene networks by autoregulation , 2000, Nature.

[31]  R. Milo,et al.  Network motifs in integrated cellular networks of transcription-regulation and protein-protein interaction. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[32]  M J May,et al.  NF-kappa B and Rel proteins: evolutionarily conserved mediators of immune responses. , 1998, Annual review of immunology.

[33]  D B Kell,et al.  Oscillations in NF-kappaB signaling control the dynamics of gene expression. , 2004, Science.

[34]  A. Ninfa,et al.  Development of Genetic Circuitry Exhibiting Toggle Switch or Oscillatory Behavior in Escherichia coli , 2003, Cell.

[35]  M. Ehrenberg,et al.  Stochastic focusing: fluctuation-enhanced sensitivity of intracellular regulation. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[36]  A. Goldbeter Computational approaches to cellular rhythms , 2002, Nature.

[37]  M. Thattai,et al.  Attenuation of noise in ultrasensitive signaling cascades. , 2002, Biophysical journal.