FB2026_02 , released June 18, 2026
FB2026_02 , released June 18, 2026
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Citation
Abhilash, L., Evans, R., Shafer, O.T. (2026). Recognition of distinct sleep states in Drosophila uncovers previously obscured homeostatic and circadian control of sleep.  Curr. Biol. 36(4): 968--978.e4.
FlyBase ID
FBrf0264674
Publication Type
Research paper
Abstract
Understanding the mechanisms underlying homeostatic sleep regulation is a central, unmet goal of sleep science. Our comprehension of such regulation in mammals has required recognizing distinct sleep stages. Drosophila melanogaster is an important genetic model system for studying sleep. Since the discovery of sleep-like states in the fly 25 years ago, the field has treated sleep as a unitary state consisting of any inactivity lasting 5 min or longer, despite convergent work suggesting the existence of multiple sleep states. Here, we establish that three distinct sleep states in flies can be classified based on simple inactivity duration criteria. We show that the daily initiation of these sleep states is temporally distinct, with long sleep occurring immediately following the largest daily period of wakefulness. We also report that the rebound in response to mechanical sleep deprivation is present only in long sleep and comes at the expense of shorter sleep states. Deprivation-induced decreases in shorter sleep states obscure homeostatic sleep rebound, but only when sleep is measured using traditional methods. We observe distinctly timed ultradian oscillations of fly sleep states, reminiscent of mammalian sleep cycles. Our results indicate that the recognition of such sleep states will be necessary to fully realize the promise of the Drosophila model system for identifying conserved genetic mechanisms underlying sleep regulation.
PubMed ID
PubMed Central ID
PMC12993817 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Curr. Biol.
    Title
    Current Biology
    Publication Year
    1991-
    ISBN/ISSN
    0960-9822
    Data From Reference
    Genes (2)