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Coordinating the Clock

In flies, the mechanosensory chordotonal organs help to coordinate the effects of temperature on circadian cycles. Simoni et al. (p. 525) provide a mechanism by which mechanosensory input is processed to help to synchronize the biological clock in Drosophila melanogaster. The chordotonal organs, which have similarities to the mammalian ear, were also required for sensation of a vibration stimulus and its effects on the endogenous brain clock. The chordotonal organs, present in the joints of the limbs, provide neuronal signals that allow the animal to sense its position or posture—and thus might mediate feedback of a range of behaviors onto the endogenous biological clock.

Abstract

Circadian clocks attune the physiology of virtually all living organisms to the diurnal cycles of their environments. In metazoan animals, multiple sensory input pathways have been linked to clock synchronization with the environmental cycle (entrainment). Extrinsic entrainment cues include light and temperature. We show that (12-hour:12-hour) cycles of vibration and silence (VS) are sufficient to synchronize the daily locomotor activity of wild-type Drosophila melanogaster. Behavioral synchronization to VS cycles required a functional clock and functional chordotonal organs and was accompanied by phase-shifts of the daily oscillations of PERIOD protein concentrations in brain clock neurons. The feedback from mechanosensory—and particularly, proprioceptive—organs may help an animal to keep its circadian clock in sync with its own, stimulus-induced activities.
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Supplementary Material

Summary

Materials and Methods
Figs. S1 to S10
Table S1
References (2631)

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References and Notes

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Information & Authors

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Published In

Science
Volume 343 | Issue 6170
31 January 2014

Submission history

Received: 9 September 2013
Accepted: 11 December 2013
Published in print: 31 January 2014

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Acknowledgments

This work was supported by grants from the Biotechnology and Biological Sciences Research Council (BB/H001204/1 to R.S. and BB/G004455/1 to J.T.A.), the Human Frontier Science Program (to J.T.A.), and the European Union FP6 Integrated Project “EUCLOCK” (to R.S.). M.P.T. received funding from the Engineering and Physical Sciences Research Council (EP/F500351/1). Additional data, including raw data, are presented in the supplementary materials. The authors thank CoMPLEX students W. Ashworth and M. Ransley for their help, W. Potter for technical support, and P. Dayan from the Gatsby Computational Neuroscience Unit at University College London for valuable discussions.

Authors

Affiliations

Alekos Simoni*,
School of Biological and Chemical Science, Queen Mary, University of London, London E1 4NS, UK.
Werner Wolfgang*
School of Biological and Chemical Science, Queen Mary, University of London, London E1 4NS, UK.
Matthew P. Topping
Centre for Mathematics and Physics in the Life Sciences and Experimental Biology (CoMPLEX), University College London, Gower Street, London WC1E 6BT, UK.
Ryan G. Kavlie
The Ear Institute, University College London, 332 Gray’s Inn Road, London WC1X 8EE, UK.
Ralf Stanewsky [email protected]
School of Biological and Chemical Science, Queen Mary, University of London, London E1 4NS, UK.
Department of Cell and Developmental Biology, University College London, London WC1E 6DE, UK.
Joerg T. Albert [email protected]
Centre for Mathematics and Physics in the Life Sciences and Experimental Biology (CoMPLEX), University College London, Gower Street, London WC1E 6BT, UK.
The Ear Institute, University College London, 332 Gray’s Inn Road, London WC1X 8EE, UK.
Department of Cell and Developmental Biology, University College London, London WC1E 6DE, UK.

Notes

*
These authors contributed equally to this work.
Present address: Department of Life Science, Division of Cell and Molecular Biology, Imperial College London, South Kensington, London SW7 2AZ, UK.
‡Corresponding author. E-mail: [email protected] (R.S.); [email protected] (J.T.A.)

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