Velocity response curves demonstrate the complexity of modeling entrainable clocks.

Circadian clocks are biological oscillators that regulate daily behaviors in organisms across the kingdoms of life. Their rhythms are generated by complex systems, generally involving interlocked regulatory feedback loops. These rhythms are entrained by the daily light/dark cycle, ensuring that the internal clock time is coordinated with the environment. Mathematical models play an important role in understanding how the components work together to function as a clock which can be entrained by light. For a clock to entrain, it must be possible for it to be sped up or slowed down at appropriate times. To understand how biophysical processes affect the speed of the clock, one can compute velocity response curves (VRCs). Here, in a case study involving the fruit fly clock, we demonstrate that VRC analysis provides insight into a clock׳s response to light. We also show that biochemical mechanisms and parameters together determine a model׳s ability to respond realistically to light. The implication is that, if one is developing a model and its current form has an unrealistic response to light, then one must reexamine one׳s model structure, because searching for better parameter values is unlikely to lead to a realistic response to light.

[1]  Linda R Petzold,et al.  Oscillator model reduction preserving the phase response: application to the circadian clock. , 2008, Biophysical journal.

[2]  Paul E. Brown,et al.  Quantitative analysis of regulatory flexibility under changing environmental conditions , 2010, Molecular systems biology.

[3]  Stephanie R. Taylor,et al.  Synchrony and entrainment properties of robust circadian oscillators , 2008, Journal of The Royal Society Interface.

[4]  Hanspeter Herzel,et al.  How to Achieve Fast Entrainment? The Timescale to Synchronization , 2009, PloS one.

[5]  Francis J. Doyle,et al.  Modeling the Drosophila melanogaster Circadian Oscillator via Phase Optimization , 2008, Journal of biological rhythms.

[6]  Rudiyanto Gunawan,et al.  Sensitivity Measures for Oscillating Systems: Application to Mammalian Circadian Gene Network , 2008, IEEE Transactions on Automatic Control.

[7]  Daniel B. Forger,et al.  Rate constants rather than biochemical mechanism determine behaviour of genetic clocks , 2008, Journal of The Royal Society Interface.

[8]  Florence Corellou,et al.  Robustness of Circadian Clocks to Daylight Fluctuations: Hints from the Picoeucaryote Ostreococcus tauri , 2010, PLoS Comput. Biol..

[9]  D A Rand,et al.  Design principles underlying circadian clocks , 2004, Journal of The Royal Society Interface.

[10]  D. Kulasiri,et al.  Modelling of circadian rhythms in Drosophila incorporating the interlocked PER/TIM and VRI/PDP1 feedback loops. , 2007, Journal of theoretical biology.

[11]  J. C. Hall,et al.  Phenotypic and genetic analysis of Clock, a new circadian rhythm mutant in Drosophila melanogaster. , 1990, Genetics.

[12]  Konopka Rj Genetic dissection of the Drosophila circadian system. , 1979 .

[13]  Linda R Petzold,et al.  Velocity Response Curves Support the Role of Continuous Entrainment in Circadian Clocks , 2010, Journal of biological rhythms.

[14]  Jean-Christophe Leloup,et al.  Circadian clocks and phosphorylation: Insights from computational modeling , 2009, Central European Journal of Biology.

[15]  P. M. Gleiser,et al.  Modelling the effect of phosphorylation on the circadian clock of Drosophila. , 2012, Journal of theoretical biology.

[16]  M. Lefranc,et al.  Circadian clocks in changing weather and seasons: Lessons from the picoalga Ostreococcus tauri , 2012, BioEssays : news and reviews in molecular, cellular and developmental biology.

[17]  Andrew J. Millar,et al.  Consistent Robustness Analysis (CRA) Identifies Biologically Relevant Properties of Regulatory Network Models , 2010, PloS one.

[18]  C. Rademacher,et al.  Post‐translational timing mechanisms of the Drosophila circadian clock , 2011, FEBS letters.

[19]  Peter Ruoff,et al.  PER/TIM-mediated amplification, gene dosage effects and temperature compensation in an interlocking-feedback loop model of the Drosophila circadian clock. , 2005, Journal of theoretical biology.

[20]  P. Hardin,et al.  per mRNA cycling is locked to lights-off under photoperiodic conditions that support circadian feedback loop function , 1996, Molecular and cellular biology.

[21]  Jeffrey C. Hall,et al.  Feedback of the Drosophila period gene product on circadian cycling of its messenger RNA levels , 1990, Nature.

[22]  M. Lefranc,et al.  Robust entrainment of circadian oscillators requires specific phase response curves. , 2010, Biophysical journal.

[23]  Charlotte Helfrich-Förster,et al.  Setting the clock – by nature: Circadian rhythm in the fruitfly Drosophila melanogaster , 2011, FEBS letters.

[24]  Hans-Paul Schwefel,et al.  Evolution and Optimum Seeking: The Sixth Generation , 1993 .

[25]  P. Hardin,et al.  The Circadian Timekeeping System of Drosophila , 2005, Current Biology.

[26]  C. Pittendrigh,et al.  The Entrainment of Circadian Oscillations by Light and Their Role as Photoperiodic Clocks , 1964, The American Naturalist.

[27]  T. Leise,et al.  A mathematical model of the Drosophila circadian clock with emphasis on posttranslational mechanisms. , 2007, Journal of theoretical biology.