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Adaptive Temperature Compensation in Circadian Oscillations

Overview of attention for article published in PLoS Computational Biology, July 2012
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Title
Adaptive Temperature Compensation in Circadian Oscillations
Published in
PLoS Computational Biology, July 2012
DOI 10.1371/journal.pcbi.1002585
Pubmed ID
Authors

Paul François, Nicolas Despierre, Eric D. Siggia

Abstract

A temperature independent period and temperature entrainment are two defining features of circadian oscillators. A default model of distributed temperature compensation satisfies these basic facts yet is not easily reconciled with other properties of circadian clocks, such as many mutants with altered but temperature compensated periods. The default model also suggests that the shape of the circadian limit cycle and the associated phase response curves (PRC) will vary since the average concentrations of clock proteins change with temperature. We propose an alternative class of models where the twin properties of a fixed period and entrainment are structural and arise from an underlying adaptive system that buffers temperature changes. These models are distinguished by a PRC whose shape is temperature independent and orbits whose extrema are temperature independent. They are readily evolved by local, hill climbing, optimization of gene networks for a common quality measure of biological clocks, phase anticipation. Interestingly a standard realization of the Goodwin model for temperature compensation displays properties of adaptive rather than distributed temperature compensation.

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Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Netherlands 1 1%
Chile 1 1%
France 1 1%
United Kingdom 1 1%
United States 1 1%
Unknown 82 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 28%
Researcher 20 23%
Student > Bachelor 7 8%
Professor 7 8%
Student > Master 7 8%
Other 12 14%
Unknown 10 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 40%
Physics and Astronomy 10 11%
Biochemistry, Genetics and Molecular Biology 9 10%
Mathematics 5 6%
Engineering 5 6%
Other 15 17%
Unknown 9 10%