Connectomic analysis of the Drosophila lateral neuron clock cells reveals the synaptic basis of functional pacemaker classes
Year: 2022
Type: article
Abstract: The circadian clock orchestrates daily changes in physiology and behavior to ensure internal temporal order and optimal timing across the day. In animals, a central brain clock coordinates circadian rhythms throughout the body and is characterized by a remarkable robustness that depends on synaptic connections between constituent neurons. The clock neuron network of Drosophila , which shares network motifs with clock networks in the mammalian brain yet is built of many fewer neurons, offers a powerful model for understanding the network properties of circadian timekeeping. Here, we report an assessment of synaptic connectivity within a clock network, focusing on the critical lateral neuron (LN) clock neuron classes within the Janelia hemibrain dataset. Our results reveal that previously identified anatomical and functional subclasses of LNs represent distinct connectomic types. Moreover, we identify a small number of non-clock cell subtypes representing highly synaptically coupled nodes within the clock neuron network. This suggests that neurons lacking molecular timekeeping likely play integral roles within the circadian timekeeping network. To our knowledge, this represents the first comprehensive connectomic analysis of a circadian neuronal network.
Source: eLife
DOI: 10.7554/elife.79139
Language: English
Subfield: Endocrine and Autonomic Systems
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,500
Awards: G1225925117, NCS-FO: Foundations of Biologically Informed Intelligent Machines for Spatial Navigation, NeuroNex Theory Team: Columbia University Theoretical Neuroscience Center, G6605009349, Effects of Local Adaptation on Parallel Pathway Circuit Computations in the Retina, Micro-Anatomical Mechanisms of Neuronal Circadian Timekeeping, Output, and Entrainment, Network Properties of Circadian Clock Modulation and Entrainment
OpenAlex ID: W4283735298
