Abstract

The circadian clock regulates animal physiological activities. How temperature reorganizes circadian-dependent physiological activities remains elusive. Here, using in-vivo two-photon imaging with the temperature control device, we investigated the response of the Drosophila central circadian circuit to temperature variation and identified that DN1as serves as the most sensitive temperature-sensing neurons. The circadian clock gate DN1a’s diurnal temperature response. Trans-synaptic tracing, connectome analysis, and functional imaging data reveal that DN1as bidirectionally targets two circadian neuronal subsets: activity-related E cells and sleep-promoting DN3s. Specifically, behavioral data demonstrate that the DN1a-E cell circuit modulates the evening locomotion peak in response to cold temperature, while the DN1a-DN3 circuit controls the warm temperature-induced nocturnal sleep reduction. Our findings systematically and comprehensively illustrate how the central circadian circuit dynamically integrates temperature and light signals to effectively coordinate wakefulness and sleep at different times of the day, shedding light on the conserved neural mechanisms underlying temperature-regulated circadian physiology in animals.

The central circadian circuit’s role in integrating temperature changes is not fully understood. Here, the authors demonstrate that temperature-sensitive DN1a circadian neurons in the Drosophila brain bidirectionally influence downstream circadian neurons, regulating temperature-dependent physiological activities.

Details

Title
Dynamic encoding of temperature in the central circadian circuit coordinates physiological activities
Author
Li, Hailiang 1 ; Li, Zhiyi 1 ; Yuan, Xin 1 ; Tian, Yue 1 ; Ye, Wenjing 1 ; Zeng, Pengyu 1 ; Li, Xiao-Ming 2   VIAFID ORCID Logo  ; Guo, Fang 1   VIAFID ORCID Logo 

 Department of Neurology of Sir Run Run Shaw Hospital and School of Brain Science and Brain Medicine, Zhejiang University School of Medicine, Department of Neurobiology, Hangzhou, China (GRID:grid.415999.9) (ISNI:0000 0004 1798 9361); Zhejiang University, MOE Frontier Science Center for Brain Research and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X); Zhejiang University, NHC and CAMS Key Laboratory of Medical Neurobiology, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X) 
 Zhejiang University, MOE Frontier Science Center for Brain Research and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X); Zhejiang University, NHC and CAMS Key Laboratory of Medical Neurobiology, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X); Zhejiang University School of Medicine, Department of Neurobiology and Department of Psychiatry of the Second Affiliated Hospital, Hangzhou, China (GRID:grid.412465.0) 
Pages
2834
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3030960712
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.