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Dynamical differential expression (DyDE) reveals the period control mechanisms of the Arabidopsis circadian oscillator

Authors :
Mombaerts, Laurent
Carignano, Alberto
Robertson, Fiona C
Hearn, Timothy J
Junyang, Jin
Hayden, David
Rutterford, Zoe
Hotta, Carlos T
Hubbard, Katherine E
Maria, Marti Ruiz C
Yuan, Ye
Hannah, Matthew A
Goncalves, Jorge
Webb, Alex AR
Mombaerts, Laurent [0000-0002-8653-7348]
Hotta, Carlos T [0000-0003-3349-6121]
Hannah, Matthew A [0000-0002-4889-490X]
Goncalves, Jorge [0000-0002-5228-6165]
Webb, Alex AR [0000-0003-0261-4375]
Apollo - University of Cambridge Repository
Source :
PLoS Computational Biology. San Francisco, CA: Public Library of Science (2019)., PLoS Computational Biology, Vol 15, Iss 1, p e1006674 (2019)
Publication Year :
2019
Publisher :
Public Library of Science (PLoS), 2019.

Abstract

The circadian oscillator, an internal time-keeping device found in most organisms, enables timely regulation of daily biological activities by maintaining synchrony with the external environment. The mechanistic basis underlying the adjustment of circadian rhythms to changing external conditions, however, has yet to be clearly elucidated. We explored the mechanism of action of nicotinamide in Arabidopsis thaliana, a metabolite that lengthens the period of circadian rhythms, to understand the regulation of circadian period. To identify the key mechanisms involved in the circadian response to nicotinamide, we developed a systematic and practical modeling framework based on the identification and comparison of gene regulatory dynamics. Our mathematical predictions, confirmed by experimentation, identified key transcriptional regulatory mechanisms of circadian period and uncovered the role of blue light in the response of the circadian oscillator to nicotinamide. We suggest that our methodology could be adapted to predict mechanisms of drug action in complex biological systems.

Details

Database :
OpenAIRE
Journal :
PLoS Computational Biology. San Francisco, CA: Public Library of Science (2019)., PLoS Computational Biology, Vol 15, Iss 1, p e1006674 (2019)
Accession number :
edsair.doi.dedup.....d9a4b54e5960174084abedcf3db48f33
Full Text :
https://doi.org/10.17863/cam.35626