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. 2026 Oct 8;12:RP92608. doi: 10.7554/eLife.92608

Circadian photoreceptor CRYPTOCHROME promotes wakefulness under short winter-like days via a GABAergic circuitry

Lixia Chen 1,2, Danya Tian 1, Chang Su 1, Luoying Zhang 1,3,✉
Editors: Krishna Melnattur4, Sonia Q Sen5
PMCID: PMC13649261  PMID: 42848434

Abstract

A cardinal symptom of seasonal affective disorder (SAD, also known as winter depression) is hypersomnolence, while the cause of this ‘winter sleepiness’ is not known. Here, we found that lack of the circadian photoreceptor cryptochrome (cry) leads to increased sleep under short winter-like days in the fruit fly Drosophila, reminiscent of the hypersomnolence in SAD. CRY functions in neurons that synthesize the major inhibitory neurotransmitter GABA, including the small ventral lateral neurons, which are known to be circadian pacemakers, and downregulates the GABAergic tone. This, in turn, leads to increased neural activity of the wake-promoting large ventral lateral neurons, a subset of circadian neurons that are inhibited by GABA-A receptors. CRY protein is known to be degraded by light, thus rendering CRY to be functional within this GABAergic circuitry to enhance wakefulness only under short-day length. Taken together, we demonstrate a mechanism that specifically regulates wakefulness under short winter-like days, which may provide insights regarding the winter sleepiness in SAD.

Research organism: D. melanogaster

eLife digest

Seasonal affective disorder (SAD), also known as winter depression, is characterized by depressive episodes that occur in winter but can remit spontaneously in spring or summer. It is one of the most common forms of seasonal mood disorder, affecting around 1–10% of the general population.

SAD is thought to be triggered by reduced daylight exposure during shorter winter days. Although circadian disruption has been implicated in its pathophysiology, the underlying mechanisms remain poorly understood.

A distinguishing feature of SAD is excessive sleep (hypersomnolence) during winter, the cause of which remains unknown. This symptom suggests that sleep regulation may vary with seasonal changes in day length, and that the mechanisms controlling sleep under short winter days may differ from those operating during other seasons.

To elucidate the mechanisms underlying winter hypersomnolence in SAD, Chen et al. first sought to understand how sleep is regulated under different day lengths, particularly under short, winter-like days. Characterizing these mechanisms may provide insights into the causes of winter hypersomnolence in SAD, potentially shedding light on its pathophysiology.

Chen et al. studied circadian clock genes, a network of genes coding for proteins that act as an internal clock by changing their activity levels in a rhythmic pattern. They tested fruit fly mutants of different circadian clock genes under a range of day lengths.

They found that CRYPTOCHROME (CRY), a light receptor known primarily for resetting the circadian clock, helps fruit flies stay awake under short, winter-like days. Loss of CRY resulted in excessive sleep under short days, resembling the winter hypersomnolence observed in patients with SAD.

Genetic and pharmacological analyses revealed that CRY acts in neurons that synthesize the inhibitory neurotransmitter GABA. Under typical circumstances, GABA enhances sleep by inhibiting neurons that promote arousal. Increased levels of CRY, however, activate these neurons and so promote wakefulness. CRY is degraded by light and can thus accumulate to higher levels under short days, potentially contributing to sleep and wakefulness.

The study by Chen et al. revealed a mechanism that selectively regulates sleep under short, winter-like days in fruit flies. Given the conservation of molecular mechanisms underlying sleep regulation between invertebrates and mammals, similar components may contribute to the regulation of human sleep, and their disruption could play a role in winter hypersomnolence. If this mechanism is conserved in mammals, light-dependent regulation of sleep could potentially be harnessed to modulate sleep and wakefulness in both patients and healthy individuals.

Introduction

Seasonal affective disorder (SAD), also known as winter depression, is characterized by the onset of depression in fall/winter months and spontaneous remission in the spring/summer (Rosenthal et al., 1984). It is generally agreed that SAD is caused by lack of daylight in the fall/winter months due to the short day length (or photoperiod), as bright light therapy is effective and most commonly used for treating the depression associated with SAD (Golden et al., 2005). The prevalence of SAD is ~1–10% worldwide, with symptoms lasting for approximately 40% of the year (Kurlansik and Ibay, 2012). About 64–80% of SAD patients report a winter increase in sleep, ranging from 30 min to 2 hr longer in duration compared to controls, which is considered to be a distinguishing symptom in the characterization and diagnosis of SAD (Wescott et al., 2020). Currently, almost nothing is known regarding the underlying mechanism of this winter hypersomnolence.

This phenomenon of winter hypersomnolence in SAD patients implicates distinct mechanisms that regulate sleep under short winter-like photoperiods vs. longer non-winter-like photoperiods, as the sleep of these individuals appears to be selectively perturbed under short photoperiods. However, the mechanisms by which sleep duration is determined under different photoperiods have not been characterized. Since the circadian clock is believed to be important for adaptations to seasonal changes in the environment and, in particular, seasonal changes of photoperiod, we hypothesize that the circadian clock may also participate in regulating sleep duration under different photoperiods (Wood and Loudon, 2014).

To address our hypothesis, we tested fruit flies mutant for different circadian clock genes under a range of photoperiods. We found that flies lacking the circadian photoreceptor CRYPTOCHROME (CRY) display increased sleep duration specifically under short photoperiods, similar to the winter hypersomnolence in SAD. Genetic and pharmacological analysis identified that CRY is functioning in GABAergic neurons and acts upon GABA-A receptors to promote wakefulness. We further narrowed down the neural circuitry mediating the influences of CRY on sleep by demonstrating that cry deficiency increases the GABAergic tone and reduces calcium concentration in the wake-promoting large ventral lateral neurons (l-LNvs), which are known to be GABA-A+ (Hamasaka et al., 2005; Parisky et al., 2008). Consistent with previous data, inhibiting these neurons increases sleep, while activating them blocks the effects of cry deficiency on sleep. CRY may function in part in the GABAergic small ventral lateral neurons (s-LNvs), and lack of cry increases GABA levels and the activity of these cells, while impairing their GABA transmission suppresses the sleep phenotype of cry mutants (Allada and Chung, 2010). In summary, here, we identify a potential role for CRY in downregulating GABAergic signaling specifically under short photoperiods. This, in turn, enhances the neural activity of the wake-promoting l-LNvs, potentially contributing to the increased wakefulness during short winter-like days. These findings reveal a mechanism underlying how sleep duration is determined under winter-like photoperiods, while disruptions of this regulatory system may be related to the winter hypersomnolence associated with SAD.

Results

cry mutation increases sleep duration specifically under short photoperiods

We assessed the sleep of flies mutant for circadian clock gene period (per0), timeless (tim0), clock (clkjrk), cycle (cyc0), and cry (cryb) under a range of photoperiods (Figure 1A and B; Allada et al., 1998; Konopka and Benzer, 1971; Sehgal et al., 1994; Stanewsky et al., 1998). We found that cryb mutation, which is known to be a loss of function or severe hypomorphic allele, leads to increased sleep duration under 4 hr light:20 hr dark condition (4L20D) and 8L16D, but not under longer photoperiods (Stanewsky et al., 1998). Since this phenotype recapitulates the winter hypersomnolence of SAD patients, we further characterized the effects of cry deficiency on sleep. We focused on sleep under 4L20D, as the extent of sleep increase is slightly larger than that of 8L16D. We also demonstrated that cry mutation lengthens sleep duration in both male and female flies, while waking activity is not significantly reduced in the mutants (Figure 1C and D). This means the increased sleep in the mutants is not caused by defects of locomotor ability. We next examined the sleep architecture of these flies and found that cry mutation enhances sleep by extending the duration of average sleep bout rather than increasing sleep bout number, indicating that cry deficiency promotes sleep consolidation under short photoperiods (Figure 1E and F). Because CRY exerts influences on sleep/wakefulness in a gender-independent manner, we used male flies for the remainder of the study. In addition, we tested the effects of a cry knock-out allele (cry0) on sleep under 4L20D and also observed significantly prolonged sleep duration, similar to cryb mutation (Figure 1—figure supplement 1; Dolezelova et al., 2007).

Figure 1. cry mutation increases sleep duration selectively under short photoperiods.

(A) Daily sleep duration in male circadian clock gene mutants per0, tim0, clkjrk, cyc0, and cryb compared to wild-type (WT) males under 4L20D, 8L16D, 12L12D, 16L8D, 20L4D (12L12D, n=86, 63, 91, 14, 91, 53 flies; 8L16D, n=21, 31, 31, 10, 32, 31 flies; 12L12D, n=31, 14, 32, 14, 27, 32 flies; 16L8D, n=36, 30, 33, 17, 36, 30 flies; 20L4D, n=42, 55, 83, 26, 91, 89 flies). (B) Average sleep traces of cryb and WT male flies under 4L20D. (C–F) The daily sleep duration (C), waking activity (D), sleep bout number (E), average sleep bout length (F) for cryb and WT female and male flies under 4L20D (n=56, 88, 58, 91 flies). For (B), statistical differences between cryb and WT are determined by paired two-tailed t-test, *p<0.001. For A and C–E, statistical differences are determined by two-tailed Student’s t-test, ***p<0.001. Error bars represent standard error of the mean (SEM). ZT, Zeitgeber time (ZT0 is the time of lights on).

Figure 1—source data 1. Numerical data with associated statistical analyses underlying Figure 1.

Figure 1.

Figure 1—figure supplement 1. cry knock-out mutation lengthens sleep duration under 4L20D.

Figure 1—figure supplement 1.

Daily sleep duration of male wild-type (WT) flies and cry knock-out flies, monitored under 4L20D (n=53, 35, 47). Student’s t-test: *p<0.05. Error bars represent SEM.

CRY functions in GABAergic neurons and promotes wakefulness via GABA/GABA-A

Upon light activation, CRY binds to the clock protein TIM and results in its degradation, which is followed subsequently by degradation of CRY itself (Busza et al., 2004; Ceriani et al., 1999; Lin et al., 2001). Therefore, we first tested whether the influences of CRY on sleep/wakefulness require TIM. We monitored sleep in flies mutant for both cry and tim, and found that the sleep duration of these double mutants is comparable to that of cry mutants (Figure 2—figure supplement 1). This indicates that CRY promotes wakefulness in a TIM-independent manner.

To identify anatomical substrates that mediate the effects of CRY on wakefulness, we employed the UAS/GAL4 system to knock down cry in different brain structures and cell types and verified that cry is indeed knocked down by assessing its mRNA level (Figure 2—figure supplement 2). We found that knocking down cry in GABAergic neurons using vesicular GABA transporter (VGAT)GAL4 or two independent glutamic acid decarboxylase 1 (Gad1)GAL4 lines results in increased sleep duration under 4L20D but not 12L12D, similar to the cry mutant phenotype (Figure 2A–D; Figure 2—figure supplement 3A–L; Deng et al., 2019). Given that Gad1GAL4-2 generated a more prominent sleep phenotype, we used this driver for the remainder of this study.

Figure 2. CRY functions in GABAergic neurons and promotes wakefulness via GABA signaling.

(A–C) Daily sleep duration of male flies with cry knocked down in GABAergic neurons by VGATGAL4 (A) (n=34, 31, 31, 25, 23 flies), Gad1GAL4-1 (B) (n=29, 26, 29, 23, 32 flies), or Gad1GAL4-2 (C) (n=72, 74, 96, 49, 54 flies) monitored under 4L20D. (D) Daily sleep duration of cry knocked down in GABAergic neurons by Gad1GAL4 monitored under 12L12D (n=20, 19, 30, 26, 32, 20 flies). For A–D, one-way ANOVA with Bonferroni multiple comparison test: compared to GAL4 control, ***p<0.001; compared to UAS control, #p<0.05, ###p<0.001. (E) Daily sleep duration of male wild-type (WT) and cryb flies fed with EOS or nipecotic acid (NipA) under 4L20D (n=31, 32, 30, 30, 25, 32 flies). Two-tailed Student’s t-test: compared to WT, ###p<0.001; compared to vehicle control, *p<0.05, ***p<0.001. (F) Daily sleep duration of cry RNAi and control flies fed with NipA under 4L20D (n=29, 19, 26, 15, 28, 23, 24, 26, 15, 24 flies). For comparison between RNAi flies vs. UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, ***p<0.001; compared to UAS control, ###p<0.001. For comparing to vehicle control, two-tailed Student’s t-test was used, $$$p<0.001. (G) Daily sleep duration of male flies with cry and gad1 knocked down in GABAergic neurons monitored under 4L20D (n=72, 73, 24, 33, 45, 33, 27 flies). For comparison between RNAi flies vs. UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, **p<0.01, ***p<0.001; compared to UAS control, ###p<0.001. For comparing to RNAi control, two-tailed Student’s t-test was used: compared to UAScryRNAi/GAL4 control, $$$p<0.001; compared to UASGad1RNAi/GAL4 control, &&&p<0.001. (H) Daily sleep duration of male flies with cry and VGAT knocked down in GABAergic neurons monitored under 4L20D (n=72, 73, 46, 41, 45, 66, 34 flies). For comparison between RNAi flies vs. UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, ***p<0.001; compared to UAS control, #p<0.05, ### p<0.001. For comparing to RNAi control, two-tailed Student’s t-test was used: compared to UAScryRNAi/GAL4 control, $$$p<0.001; compared to UASVGATRNAi/GAL4 background, not significant. (I) Daily sleep duration of cry mutant flies with VGAT knocked down in GABAergic neurons monitored under 4L20D (n=72, 59, 20, 23, 69, 22 flies). For comparison between RNAi flies vs. UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, **p<0.01, ***p<0.001; compared to UAS control, #p<0.05, ###p<0.001. For comparison between mutant vs. control, two-tailed Student’s t-test was used: compared to WT background, &&&p<0.001; compared to UVGATRNAi/GAL4, not significant. Error bars represent standard error of the mean (SEM); G4, GAL4; U, UAS; NS, not significant.

Figure 2—source data 1. Numerical data with associated statistical analyses underlying Figure 2.

Figure 2.

Figure 2—figure supplement 1. CRY does not regulate sleep duration via TIM.

Figure 2—figure supplement 1.

Daily sleep duration of male wild-type (WT) flies and flies mutant for cry and/or tim, monitored under 4L20D (n=58, 63, 91, 33 flies). Two-tailed Student’s t-test: compared to WT background, ***p<0.001; compared to tim0, ###p<0.001. Error bars represent standard error of the mean (SEM).
Figure 2—figure supplement 2. Screening for anatomical substrates that mediate the effects of CRY on sleep/wakefulness.

Figure 2—figure supplement 2.

(A) Difference in sleep duration between male cry RNAi flies compared to GAL4 and UAS controls under 4L20D (n=20–92). (B) Plots of relative mRNA abundance for cry determined by quantitative real-time PCR (qRT-PCR) in whole-head extracts of cryRNAi and control flies under 4L20D (n=4). The value of the GAL4 control group was set to 1. Mann-Whitney test: compared to GAL4 control, *p<0.05; compared to UAS control, #p<0.05. G4, GAL4; U, UAS.
Figure 2—figure supplement 3. CRY promotes wakefulness in GABAergic neurons.

Figure 2—figure supplement 3.

(A–D) Sleep profile (A), daily waking activity (B), sleep bout number (C), average sleep bout length (D) of male flies with cry knocked down in GABAergic neurons by VGATGAL4 monitored under 4L20D in Figure 2A. (E–H) Sleep profile (E), daily waking activity (F), sleep bout number (G), average sleep bout length (H) of male flies with cry knocked down in GABAergic neurons by Gad1GAL4-1 monitored under 4L20D in Figure 2B. (I–L) Sleep profile (I), daily waking activity (J), sleep bout number (K), average sleep bout length (L) of male flies with cry knocked down in GABAergic neurons by Gad1GAL4-2 monitored under 4L20D in Figure 2C. One-way ANOVA with Bonferroni multiple comparison test: compared to GAL4 control, ***p<0.001; compared to UAS control, #p<0.05, ###p<0.001.
Figure 2—figure supplement 4. CRY promotes wakefulness via GABA signaling.

Figure 2—figure supplement 4.

(A, B) Sleep profile of male wild-type (WT) and cry mutant flies fed with nipecotic acid (NipA) (A) or EOS (B) under 4L20D in Figure 2E. White box indicates light period while black box indicates dark period. (C–E) Daily waking activity (C), sleep bout number (D), average sleep bout length (E) of male WT and cry mutant flies fed with NipA or EOS under 4L20D in Figure 2E. Two-tailed Student’s t-test: compared to WT, #p<0.05, ##p<0.01, ###p<0.001; compared to vehicle control, *p<0.05, **p<0.01, ***p<0.001. (F–I) Sleep profile (F), daily waking activity (G), sleep bout number (H), average sleep bout length (I) of cry RNAi and control flies fed with NipA under 4L20D in Figure 2F. One-way ANOVA with Bonferroni multiple comparison test: compared to GAL4 control, **p<0.01, ***p<0.001; compared to UAS control, #p<0.05, ##p<0.01, ###p<0.001. For comparing to vehicle control, two-tailed Student’s t-test was used, $p<0.05, $$p<0.01, $$$p<0.001. Error bars represent standard error of the mean (SEM). G4, GAL4; U, UAS.
Figure 2—figure supplement 5. CRY promotes wakefulness via GABA-related genes.

Figure 2—figure supplement 5.

(A–D) Sleep profile (A), daily waking activity (B), sleep bout number (C), average sleep bout length (D) of male flies with cry and gad1 knocked down in GABAergic neurons monitored under 4L20D in Figure 2G. (E–H) Sleep profile (E), daily waking activity (F), sleep bout number (G), average sleep bout length (H) of male flies with cry and VGAT knocked down in GABAergic neurons monitored under 4L20D in Figure 2H. For comparison between RNAi flies vs. UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, *p<0.05, **p<0.01, ***p<0.001; compared to UAS control, #p<0.05, ##p<0.01, ###p<0.001. For comparing to RNAi control, two-tailed Student’s t-test was used: compared to UAScryRNAi/GAL4 control, $p<0.05, $$p<0.01, $$$p<0.001; compared to UASGad1RNAi/GAL4 or UVGATRNAi/GAL4 control, &&&p<0.001. (I–L) Sleep profile (I), daily waking activity (J), sleep bout number (K), average sleep bout length (L) of cry mutant flies with VGAT knocked down in GABAergic neurons monitored under 4L20D in Figure 2I. For comparison between RNAi flies vs. UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, *p<0.05, ***p<0.001; compared to UAS control, #p<0.05, ##p<0.01, ###p<0.001. For comparison between mutant vs. control, two-tailed Student’s t-test was used: compared to wild-type (WT) background, &p<0.05, &&p<0.01, &&&p<0.001. (M, N) Plots of relative mRNA abundance for Gad1 (M) and VGAT (N) determined by quantitative real-time PCR (qRT-PCR) in whole-head extracts of RNAi and control flies under 4L20D (n=6). The value of the GAL4 control group was set to 1. Mann-Whitney test: compared to GAL4 control, **p<0.01; compared to UAS control, ##p<0.01. (O) Daily sleep duration of male flies with cry and gfp knocked down in GABAergic neurons by Gad1GAL4 monitored under 4L20D (n=72, 26, 29, 20, 30, 31, 68, 32, 31, 29, 29). One-way ANOVA with Bonferroni multiple comparison test: compared to GAL4 control, ***p<0.001; compared to UAS control, #p<0.05, ###p<0.001. Error bars represent quantitative real-time PCR (SEM); G4, GAL4; U, UAS; NS, not significant.

Since CRY appears to act in GABAergic neurons to promote wakefulness, we tested whether GABA is involved in this regulatory process. We first took a pharmacological approach and fed flies with drugs to inhibit GABA transaminase (ethanolamine-O-sulfate [EOS]) or GABA transporter (nipecotic acid [NipA]). Both of these treatments are known to increase GABA levels and indeed lengthen the sleep duration in WT flies (Ki and Lim, 2019; Leal and Neckameyer, 2002). cry mutation fails to enhance sleep when treated with NipA, while the extent of sleep increase caused by cry mutation is smaller when treated with EOS compared to the control (Figure 2E; Figure 2—figure supplement 4A–E). Similarly, knocking down cry in GABAergic neurons no longer lengthens sleep duration after NipA treatment (Figure 2F; Figure 2—figure supplement 4F–I). For further validation, we adopted a genetic approach. We found that knocking down Gad1, the synthetic enzyme for GABA, suppresses the long sleep phenotype of cry RNAi flies (Figure 2G; Figure 2—figure supplement 5A–D; Jackson et al., 1990). In addition, we knocked down VGAT, which encodes an essential transporter responsible for packing GABA into synaptic vesicles (Enell et al., 2007). cry deficiency fails to lengthen sleep duration when VGAT is knocked down (Figure 2H and I; Figure 2—figure supplement 5E–L). We verified that Gad1 and VGAT are indeed knocked down by measuring their mRNA levels (Figure 2—figure supplement 5M and N). As a control for the genetic interaction experiments, we co-expressed a GFP RNAi and found this does not significantly alter the sleep duration of cry RNAi flies (Figure 2—figure supplement 5O). These series of results indicate that CRY acts via GABA to promote wakefulness.

We next sought to identify the GABA receptor that mediates the effects of CRY on sleep/wakefulness. We fed flies with agonists of GABA-A (THIP) and GABA-B receptor (SKF-97541) (Dissel et al., 2015; Ki and Lim, 2019; Matsuda et al., 1996; Mezler et al., 2001). Both drugs enhance sleep in WT, while cry mutation can increase sleep in flies fed with SKF-97541 but not THIP, implicating that CRY acts through GABA-A to promote wake (Figure 3A–C; Figure 3—figure supplement 1A–F). Consistent with previous data, the GABA-A receptor antagonist carbamazepine (CBZ) reduces sleep in WT flies, while cry mutation fails to lengthen sleep duration after CBZ treatment (Figure 3D and E; Figure 3—figure supplement 1G–I; Agosto et al., 2008). We also treated cry RNAi flies with THIP or CBZ and found this treatment abolished the long sleep phenotype as well (Figure 3F–I; Figure 3—figure supplement 2A–F). To validate that CRY modulates sleep/wakefulness by acting upon the GABA-A receptor, we tested for genetic interaction between cry and Resistant to dieldrin (Rdl), a gene that encodes the GABA-A receptor in flies and has previously been shown to be involved in sleep regulation (Chung et al., 2009; ffrench-Constant et al., 1993; Parisky et al., 2008). We found that Rdl mutation (RdlMD-RR) blocks the sleep-enhancing effect of cry RNAi (Figure 3J–L; Figure 3—figure supplement 3; Agosto et al., 2008). These findings demonstrate that the GABA-A receptor mediates the wake-promoting function of CRY.

Figure 3. GABA-A receptor mediates the effects of CRY on sleep/wakefulness.

(A, C, D) Daily sleep duration of male wild-type (WT) and cry mutant flies fed with THIP (A) (n=28, 29, 16, 19 flies), SKF-97541 (C) (n=25, 21, 23, 18 flies), or carbamazepine (CBZ) (D) (n=28, 25, 31, 29 flies) under 4L20D. Two-tailed Student’s t-test: compared to WT, ###p<0.001; compared to vehicle control, ***p<0.001. (B, E) Sleep profile of male WT and cry mutant flies fed with THIP (B) or CBZ (E) under 4L20D in A and D, respectively. White box indicates light period while black box indicates dark period. (F, H) Daily sleep duration of male cry RNAi and control flies fed with THIP (F) (n=32, 32, 32, 32, 29, 23, 30, 27, 27, 20 flies) or CBZ (H) (n=24, 16, 18, 22, 23, 18, 22, 26, 30, 24 flies) under 4L20D. For comparison between RNAi flies vs. UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, ***p<0.001; compared to UAS control, ##p<0.01, ###p<0.001. For comparing to vehicle control, two-tailed Student’s t-test was used, $$$p<0.001. (G, I) Sleep profile of male cry RNAi and control flies fed with THIP (G) or CBZ (I) under 4L20D in F and H, respectively. White box indicates light period while black box indicates dark period. (J) Daily sleep duration of male RdlMD-RR flies with cry knocked down in GABAergic neurons under 4L20D, along with relevant controls (n=72, 73, 66, 44, 45, 33, 45, 54, 38, 33 flies). For comparison between RNAi flies vs. UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, ***p<0.001; compared to UAS control, ###p<0.001. For comparing to WT or UAScryRNAi/GAL4 control, two-tailed Student’s t-test was used: compared to WT, &p<0.05; compared to UAScryRNAi/GAL4 control, $$$p<0.001. (K, L) Sleep profile of male RdlMD-RR flies with cry knocked down in GABAergic neurons using cryRNAi-1 (K) or cryRNAi-2 (L) under 4L20D in J. Error bars represent standard error of the mean (SEM); G4, GAL4; U, UAS.

Figure 3—source data 1. Numerical data with associated statistical analyses underlying Figure 3.

Figure 3.

Figure 3—figure supplement 1. GABA-A receptor mediates the effects of cry mutation on sleep/wakefulness.

Figure 3—figure supplement 1.

(A–C) Daily waking activity (A), sleep bout number (B), average sleep bout length (C) of male wild-type (WT) and cry mutant flies fed with THIP under 4L20D in Figure 3A. (D–F) Daily waking activity (D), sleep bout number (E), average sleep bout length (F) of male WT and cry mutant flies fed with SKF-97541 under 4L20D in Figure 3C. (G–I) Daily waking activity (G), sleep bout number (H), average sleep bout length (I) of male WT and cry mutant flies fed with carbamazepine (CBZ) under 4L20D in Figure 3D. Two-tailed Student’s t-test: compared to WT, #p<0.05, ##p<0.01, ###p<0.001; compared to vehicle control, *p<0.05, **p<0.01, ***p<0.001. Error bars represent standard error of the mean (SEM).
Figure 3—figure supplement 2. GABA-A receptor mediates the effects of cry RNAi flies on sleep/wakefulness.

Figure 3—figure supplement 2.

(A–C) Daily waking activity (A), sleep bout number (B), average sleep bout length (C) of male cry RNAi and control flies fed with THIP under 4L20D in Figure 3F. (D–F) Daily waking activity (D), sleep bout number (E), average sleep bout length (F) of male cry RNAi and control flies fed with CBZ under 4L20D in Figure 3H. For comparison between RNAi flies vs. UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, *p<0.05, **p<0.01, ***p<0.001; compared to UAS control, #p<0.05, ##p<0.01. For comparing to vehicle control, two-tailed Student’s t-test was used, $p<0.05, $$p<0.01, $$$p<0.001. Error bars represent standard error of the mean (SEM). G4, GAL4; U, UAS.
Figure 3—figure supplement 3. GABA-A receptor mediates the effects of cry RNAi flies on sleep/wakefulness.

Figure 3—figure supplement 3.

(A–C) Daily waking activity (A), sleep bout number (B), average sleep bout length (C) of male RdlMD-RR flies with cry knocked down in GABAergic neurons under 4L20D in Figure 3J. For comparison between RNAi flies vs. UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, **p<0.01, ***p<0.001; compared to UAS control, #p<0.05, ##p<0.01, ###p<0.001. For comparing to wild-type (WT) or UAScryRNAi/GAL4 control, two-tailed Student’s t-test was used: compared to WT, &p<0.05; &&&p<0.001; compared to UAScryRNAi/GAL4 control, $$p<0.01, $$$p<0.001. Error bars represent standard error of the mean (SEM). G4, GAL4; U, UAS.

In short, pharmacological and genetic approaches reveal that CRY acts in GABAergic neurons and impinges on GABA/GABA-A signaling to promote wakefulness.

CRY may act upon l-LNvs to promote wakefulness

Previous studies reported that GABA enhances sleep at least in part by activating RDL on the l-LNvs, thus inhibiting the activities of these cells and reducing the release of the arousal-promoting neuropeptide pigment dispersing factor (PDF) (Chung et al., 2009; Parisky et al., 2008). Therefore, we tested whether the l-LNvs mediate the effects of CRY on sleep/wakefulness. We first tested whether the l-LNvs indeed receive projections from GABAergic neurons. We expressed a GFP-tagged synaptotagmin (syt-GFP), which labels axon terminals using Gad1GAL4, and GFP signal was observed at the l-LNv soma (Figure 4—figure supplement 1A; Zhang et al., 2002). We employed the GFP Across Synaptic Partners (GRASP) method with enhanced specificity (t-GRASP) to check for synaptic connections between GABAergic neurons and l-LNvs (Shearin et al., 2018). Pre-mGRASP was expressed in the axon terminal of GABAergic neurons (using Gad1GAL4), whereas its t-GRASP partner post-mGRASP was expressed in the l-LNvs (using the driver PdfLexA) (Shang et al., 2008). GFP signal can be detected at the l-LNv soma, which means GABAergic neurons may send synaptic projections to the l-LNvs (Figure 4—figure supplement 1B). We further validated this connection using the trans-Tango technique, which labels downstream synaptic targets of GABAergic neurons with the HA tag, and we were able to observe HA expression in the l-LNvs (Figure 4—figure supplement 1C; Talay et al., 2017). All in all, these results strongly suggest that GABAergic neurons project to the l-LNvs and form synaptic connections. Consistently, knocking down Rdl using an R78G01GAL4 line, which drives expression in the l-LNvs along with other cells, rescues the long sleep phenotype of cry mutants (Figure 4—figure supplement 1D; Yoshii et al., 2015).

We next examined the effects of cry mutation on GABA level at the l-LNv soma by immunostaining. As expected, GABA signal is significantly increased in cry mutants under 4L20D but not 12L12D (Figure 4A–D). Consistent with elevated GABA, GCaMP6m signal, an indicator of intracellular calcium concentration, is significantly reduced in the l-LNvs under 4L20D (Figure 4E and F; Chen et al., 2013). This implies that the neural activity of these cells is downregulated, possibly due to increased GABA signaling.

Figure 4. CRY increases the neural activity of the large ventral lateral neurons (l-LNvs) to promote wakefulness.

(A–D) Brains from male wild-type (WT) and cry mutant flies dissected at ZT1, 7, 13, 19 under 4L20D (A) or 12L12D (C) are immunostained with GABA (cyan) and pigment dispersing factor (PDF) (magenta) antisera, and representative l-LNvs are displayed. Merged signal is shown as white. Bar graphs represent normalized GABA intensity in the l-LNvs under 4L20D (B) (n=26–56 cells) and 12L12D (D) (n=32–128 cells). The average value of the control group at ZT1 is set to 1. (E) Representative live image of the l-LNvs expressing GCaMP6m and tdTomato using PdfGAL4. Brain samples are dissected at the indicated time points under 4L20D. (F) Quantification of GCaMP6m signal intensity normalized to that of tdTomato (n=25–54 cells). Student’s t-test: *p<0.05, **p<0.01, ***p<0.001. (G) Daily sleep duration of male flies expressing Kir2.1 in PDF neuron using PdfGAL4 and controls, monitored under 4L20D (n=32, 42, 30 flies). One-way ANOVA with Bonferroni multiple comparison test: compared to GAL4 control, *p<0.05; compared to UAS control, ###p<0.001. (H, I) Daily sleep duration of male cry mutant flies expressing TrpA1 in the l-LNvs using c929GAL4 (H) (n=42, 42, 38, 35, 45, 37 flies) or R10H10GAL4 (I) (n=62, 62, 17, 30, 29, 30 flies) and relevant controls, monitored under 4L20D and 29°C to activate TrpA1. For comparison with UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, ***p<0.001; compared to UAS control, ###p<0.001. For comparison between mutant vs. control, two-tailed Student’s t-test was used: &p<0.05, &&&p<0.001. (J, K) Daily sleep duration of cry mutant flies expressing NachBac in the l-LNvs using c929GAL4 (J) (n=45, 30, 32, 48, 55, 48 flies) or R10H10GAL4 (K) (n=25, 59, 29, 74, 25, 32 flies) and relevant controls, monitored under 4L20D. For comparison with UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, *p<0.05, ***p<0.001; compared to UAS control, ###p<0.001. For comparison between mutant vs. control, two-tailed Student’s t-test was used: &p<0.05, &&&p<0.001. (L, M) Daily sleep duration of male Pdf01-cryb (L) (n=58, 91, 89, 31 flies) and Pdfrhan5304;cryb (M) (n=58, 91, 31, 31 flies) mutants along with relevant controls, monitored under 4L20D. Two-tailed Student’s t-test: compared to WT background, ***p<0.001; compared to Pdf01or Pdfrhan5304, ###p<0.001; compared to cryb, &&p<0.01, &&&p<0.001. The scale bar represents 15 µm. Error bars represent standard error of the mean (SEM). G4, GAL4; U, UAS.

Figure 4—source data 1. Numerical data with associated statistical analyses underlying Figure 4.

Figure 4.

Figure 4—figure supplement 1. GABAergic neurons project to and form synapses with the large ventral lateral neurons (l-LNvs).

Figure 4—figure supplement 1.

(A) l-LNvs of flies expressing syt-GFP in GABAergic neurons using Gad1Gal4 maintained under 4L20D and immunostained with pigment dispersing factor (PDF) antisera. (B) l-LNvs of flies expressing Pre-mGRASP in GABAergic neurons using Gad1Gal4 and t-GRASP in the l-LNvs using PdfLexA maintained under 4L20D. Brains are immunostained with PDF antisera. (C) l-LNvs of flies expressing trans-Tango in GABAergic neurons using Gad1Gal4 maintained under 4L20D and immunostained with HA and PDF antisera. (D) Daily sleep duration of cry mutant flies with Rdl knocked down in the l-LNvs using R78G01GAL4 and relevant controls, monitored under 4L20D (n=31, 31, 64, 32, 31, 32 flies). For comparison between RNAi flies vs. UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, *p<0.05; compared to UAS control, ###p<0.001. For comparison between mutant vs. control, two-tailed Student’s t-test was used: compared to wild-type (WT) background, &p<0.05, &&&p<0.001; compared to URdlRNAi/GAL4, not significant. The scale bar represents 15 µm. Error bars represent standard error of the mean (SEM). G4, GAL4; U, UAS; LexAop, LexA operator.
Figure 4—figure supplement 2. CRY promotes wakefulness by impinging on the excitability of large ventral lateral neuron (l-LNv).

Figure 4—figure supplement 2.

(A–D) Sleep profile (A), daily waking activity (B), sleep bout number (C), average sleep bout length (D) of male flies expressing Kir2.1 in pigment dispersing factor (PDF) neuron using PdfGAL4 and controls, monitored under 4L20D in Figure 4G. White box indicates light period while black box indicates dark period. (E–H) Sleep profile (E), daily waking activity (F), sleep bout number (G), average sleep bout length (H) of male cry mutant flies expressing TrpA1 in the l-LNvs using c929GAL4 and relevant controls in Figure 4H, monitored under 4L20D and 29°C to activate TrpA1. (I–L) Sleep profile (I), daily waking activity (J), sleep bout number (K), average sleep bout length (L) of male cry mutant flies expressing TrpA1 in the l-LNvs using R10H10GAL4 and relevant controls in Figure 4I, monitored under 4L20D and 29°C to activate TrpA1. For comparison with UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, *p<0.05, **p<0.01, ***p<0.001; compared to UAS control, #p<0.05, ##p<0.01, ###p<0.001. For comparison between mutant vs. control, two-tailed Student’s t-test was used: &p<0.05, &&p<0.01, &&&p<0.001. (M–P) Sleep profile (M), daily waking activity (N), sleep bout number (O), average sleep bout length (P) of cry mutant flies expressing NachBac in the l-LNvs using c929GAL4 and relevant controls in Figure 4J, monitored under 4L20D. (Q–T) Sleep profile (Q), daily waking activity (R), sleep bout number (S), average sleep bout length (T) of cry mutant flies expressing NachBac in the l-LNvs using R10H10GAL4 and relevant controls in Figure 4K, monitored under 4L20D. For comparison with UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, **p<0.01, ***p<0.001; compared to UAS control, #p<0.05, ###p<0.001. For comparison between mutant vs. control, two-tailed Student’s t-test was used: &p<0.05, &&p<0.01, &&&p<0.001. Error bars represent standard error of the mean (SEM). G4, GAL4; U, UAS.
Figure 4—figure supplement 3. CRY promotes wakefulness by impinging on pigment dispersing factor (PDF) signaling.

Figure 4—figure supplement 3.

(A–D) Sleep profile (A), daily waking activity (B), sleep bout number (C), average sleep bout length (D) of male Pdf01-cryb mutants along with relevant controls in Figure 4L, monitored under 4L20D. (E–H) Sleep profile (E), daily waking activity (F), sleep bout number (G), average sleep bout length (H) of male Pdfrhan5304;cryb mutants along with relevant controls in Figure 4M, respectively, monitored under 4L20D. Two-tailed Student’s t-test: compared to wild-type (WT) background, **p<0.01, ***p<0.001; compared to Pdf01or Pdfrhan5304, ##p<0.01, ###p<0.001; compared to cryb, &&&p<0.001. Error bars represent SEM.

To test whether the long sleep phenotype in cry mutants is due to reduced activity of the l-LNvs, we electrically silenced these neurons (along with other PDF+ neurons) by expressing an inward rectifying potassium channel Kir2.1 (Baines et al., 2001). This results in lengthened sleep duration under 4L20D, mimicking the sleep phenotype of cry mutants (Figure 4G; Figure 4—figure supplement 2A–D). On the other hand, activating the l-LNvs (along with other cells) by expressing the temperature-gated depolarizing cation channel TrpA1 or the bacterial depolarization-activated sodium channel, NachBac blocks the sleep enhancing effect of cry mutation (Figure 4H–K; Figure 4—figure supplement 2E–T; Hamada et al., 2008; Nitabach et al., 2006). These findings support the notion that cry mutation may lengthen sleep duration by downregulating the neural activity of the l-LNvs. Since it has been shown that the l-LNvs promote arousal by releasing PDF, we assessed whether PDF or its receptor PDFR is required by CRY to exert influence on sleep/wakefulness (Chung et al., 2009; Parisky et al., 2008). cry mutation fails to lengthen sleep duration on Pdf or Pdfr mutant background, indicating the necessity of PDF signaling in mediating the arousal-promoting function of CRY (Figure 4L and M; Figure 4—figure supplement 3; Hyun et al., 2005; Lear et al., 2005; Mertens et al., 2005; Renn et al., 1999).

To summarize, these results suggest that CRY promotes wakefulness by reducing GABA signaling and thus increasing the activity of the l-LNvs, which may in turn lead to increased release of PDF.

CRY may act in the s-LNvs to promote wakefulness

To identify the subset of GABAergic neurons in which CRY functions to regulate wakefulness, we first examined the expression pattern of Gad1GAL4 by labeling the GAL4+ cells with a nuclear GFP (nls-GFP) (Shiga et al., 1996). While the l-LNvs are not GFP+, we noticed that the s-LNvs which are close to the l-LNvs and also express PDF appear to be GFP+ (Figure 5A and B; Figure 5—figure supplement 1A). In addition, nls-GFP was expressed in GABAergic neurons (using Gad1GAL4), whereas RFP was expressed in the l- and s-LNvs (using the driver PdfLexA). GFP signal can be detected in the s-LNvs but not the l-LNvs (Figure 5—figure supplement 1B). Because the s-LNvs are known to express CRY, we suspected that CRY may be acting in these s-LNvs to regulate the activity of the l-LNvs via GABA signaling (Benito et al., 2008; Yoshii et al., 2008). To test this idea, we knocked down cry using R6GAL4 (which drives expression in the s-LNvs and several other cells in the brain) while overexpressing dicer2 (dcr2) to enhance RNAi efficiency and observed a modest but significant lengthening of sleep duration (Figure 5C; Figure 5—figure supplement 2A–D; Helfrich-Förster et al., 2007). However, when we adopted a PdfGAL80 to block the actions of GAL4 in the PDF neurons in Gad1GAL4/UAScryRNAi, this does not alter the long-sleep phenotype (Figure 5—figure supplement 2E; Stoleru et al., 2004). These series of results suggest that cry expression in the s-LNvs may be necessary but not sufficient to maintain normal sleep/wakefulness. We were indeed able to detect GABA signal at the s-LNvs, while GABA intensity is enhanced in cry mutants under 4L20D but not 12L12D (Figure 5D–G). To further validate that the s-LNvs are GABAergic, we knocked down VGAT in these cells and observed a decrease of GABA intensity (Figure 5—figure supplement 3A and B).

Figure 5. CRY acts in the small ventral lateral neurons (s-LNvs) to inhibit their neural activity and promote wakefulness.

(A) Brains of male flies expressing nls-GFP driven by Gad1GAL4 maintained under 4L20D and immunostained with pigment dispersing factor (PDF) antisera. Representative l-LNv and s-LNv are displayed. (B) Quantification of GFP signal intensity of PDF neuron (n=20, 49, 43 cells). Two-tailed Student’s t-test: ***p<0.001. (C) Daily sleep duration of flies with cry knocked down in the s-LNvs using R6GAL4 and relevant controls, monitored under 4L20D (n=45, 60, 63, 34, 39 flies). (D–G) Brains from male wild-type (WT) and cry mutant flies dissected at ZT1, 7, 13, 19 under 4L20D (D) or 12L12D (F) are immunostained with GABA (cyan) and PDF (magenta) antisera, and representative s-LNvs are displayed. Merged signal is shown as white. Bar graphs represent normalized GABA intensity in the s-LNvs under 4L20D (E) (n=20–53 cells) and 12L12D (G) (n=29–67 cells). The average value of the control group at ZT1 is set to 1. (H) Representative live image of the s-LNvs expressing GCaMP6m and tdTomato using PdfGAL4. Brain samples are dissected at the indicated time points under 4L20D. (I) Quantification of GCaMP6m signal intensity normalized to that of tdTomato (n=29–47 cells). Two-tailed Student’s t-test: *p<0.05, **p<0.01, ***p<0.001. (J) Daily sleep duration of male flies expressing TrpA1 in the s-LNvs using R6GAL4 and relevant controls, monitored under 4L20D and 29°C to activate TrpA1 (n=45, 54, 29, 22, 56, 22 flies). (K) Daily sleep duration of male cry mutant flies expressing TrpA1 in the s-LNvs using R6GAL4 and relevant controls, monitored under 4L20D and 29°C to activate TrpA1 (n=33, 42, 23, 35, 36, 20 flies). (L) Daily sleep duration of male cry mutant flies overexpressing HK in the s-LNvs using R6GAL4 and relevant controls, monitored under 4L20D (n=24, 29, 23, 30, 37, 22 flies). For comparison with UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, *p<0.05, ***p<0.001; compared to UAS control, ##p<0.01, ###p<0.001. For comparison between mutant vs. control, two-tailed Student’s t-test was used: compared to WT background, &&p<0.01, &&&p<0.001. The scale bar represents 15 µm. Error bars represent standard error of the mean (SEM). G4, GAL4; U, UAS; NS, not significant.

Figure 5—source data 1. Numerical data with associated statistical analyses underlying Figure 5.

Figure 5.

Figure 5—figure supplement 1. Gad1GAL4 drives expression in the small ventral lateral neurons (s-LNvs) but not large ventral lateral neurons (l-LNvs).

Figure 5—figure supplement 1.

(A) Brains of male flies expressing nls-GFP driven by Gad1GAL4 maintained under 4L20D and immunostained with pigment dispersing factor (PDF) antisera. (B) Quantification of GFP signal intensity of PDF neuron (n=15, 18, 25 cells). Two-tailed Student’s t-test: ***p<0.001. (C) Brains of male flies expressing nls-GFP in GABAergic neurons using Gad1Gal4 and rCD2-RFP in the PDF neurons using PdfLexA maintained under 4L20D. (D) Quantification of GFP signal intensity of PDF neuron (n=18, 22, 21 cells). Two-tailed Student’s t-test: ***p<0.001. The scale bar represents 15 µm.
Figure 5—figure supplement 2. cry expression in the small ventral lateral neurons (s-LNvs) is necessary but not sufficient for maintaining normal sleep/wakefulness.

Figure 5—figure supplement 2.

(A–D) Sleep profile (A), daily waking activity (B), sleep bout number (C), average sleep bout length (D) of cry knocked down in s-LNvs by R6GAL4 monitored under 4L20D in Figure 5C. White box indicates light period while black box indicates dark period. (E) Daily sleep duration of cry knocked down in pigment dispersing factor (PDF)-GABAergic neurons using Gad1GAL4 and PdfGAL80, monitored under 4L20D (n=101, 26, 29, 27, 31, 23, 32, 73, 63). One-way ANOVA with Bonferroni multiple comparison test: compared to GAL4 control, *p<0.05, **p<0.01, ***p<0.001; compared to UAS control, #p<0.05, ###p<0.001. Error bars represent standard error of the mean (SEM). G4, GAL4; G80, GAL80; U, UAS.
Figure 5—figure supplement 3. Small ventral lateral neurons (s-LNvs) appear to be GABAergic neurons.

Figure 5—figure supplement 3.

(A) Brains from male flies with VGAT knocked down in the s-LNvs using R6GAL4 and control maintained under 4L20D and immunostained with GABA (cyan) and pigment dispersing factor (PDF) (magenta) antisera. Representative s-LNvs are displayed. Merged signal is shown as white. (B) Bar graphs represent normalized GABA intensity in the s-LNvs with VGAT knocked down using R6GAL4 (n=25, 32 cells). The average value of the control group is set to 1. Two-tailed Student’s t-test, ***p<0.001. The scale bar represents 15 µm. Error bars represent standard error of the mean (SEM). G4, GAL4; U, UAS.
Figure 5—figure supplement 4. CRY promotes wakefulness by impinging on the excitability of the small ventral lateral neurons (s-LNvs).

Figure 5—figure supplement 4.

(A–D) Sleep profile (A), daily waking activity (B), sleep bout number (C), average sleep bout length (D) of male flies expressing TrpA1 in the s-LNvs using R6GAL4 and relevant controls in Figure 5J, monitored under 4L20D and 29°C to activate TrpA1. White box indicates light period while black box indicates dark period. (E–H) Sleep profile (E), daily waking activity (F), sleep bout number (G), average sleep bout length (H) of male cry mutant flies expressing TrpA1 in the s-LNvs using R6GAL4 and relevant controls in Figure 5K, monitored under 4L20D and 29°C to activate TrpA1. (I–L) Sleep profile (I), daily waking activity (J), sleep bout number (K), average sleep bout length (L) of male cry mutant flies overexpressing HK in the s-LNvs using R6GAL4 and relevant controls in Figure 5L, monitored under 4L20D. For comparison with UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, *p<0.05, **p<0.01, ***p<0.001; compared to UAS control, ##p<0.01, ###p<0.001. For comparison between mutant vs. control, two-tailed Student’s t-test was used: compared to wild-type (WT) background, &p<0.05, &&p<0.01, &&&p<0.001. Error bars represent standard error of the mean (SEM). G4, GAL4; G80, GAL80; U, UAS.

Next, we examined the effects of cry deficiency on the activity level of the s-LNvs. We found that cry mutation increases calcium concentration in these cells under 4L20D, in stark contrast to that of the l-LNvs (Figure 5H and I). This strongly suggests that cry deficiency leads to elevated neural activity in the s-LNvs. Consistently, we observed increased sleep when we activated these cells using TrpA1, similar to the long-sleep phenotype of cry mutants (Figure 5J; Figure 5—figure supplement 4A–D). Because R6GAL4 is also expressed in several other cells in the brain, we combined PdfGAL80 to verify that the sleep-enhancing effect is caused by overactivation of the s-LNvs (Helfrich-Förster et al., 2007). Indeed, we no longer observed the long-sleep phenotype when GAL4 expression is inhibited in the PDF neurons by GAL80 (Figure 5J; Figure 5—figure supplement 4A–D). Moreover, we found that cry mutation can no longer exert effects on sleep when the s-LNvs (along with other cells) are activated, further suggesting that the s-LNvs mediate the influences of CRY on sleep (Figure 5K; Figure 5—figure supplement 4E–H). Because CRY has been shown to regulate membrane depolarization and input resistance together with the redox sensor of the voltage-gated potassium channel β-subunit HYPERKINETIC (HK), we tested whether CRY and HK also function together in the s-LNvs to regulate arousal (Agrawal et al., 2017; Fogle et al., 2015). We found that while overexpressing hk with R6GAL4 in WT flies does not alter sleep duration under 4L20D, overexpressing it in cry mutants significantly increases sleep (Figure 5L; Figure 5—figure supplement 4I–L). This genetic interaction indicates that CRY and HK cooperate to regulate wakefulness, possibly by modulating the electric activity of the s-LNvs.

Next, we expressed syt-GFP using R6GAL4 and observed GFP signal at the soma of the l-LNvs, suggesting that the s-LNvs send axonal terminals to the l-LNvs (Figure 6A). trans-Tango technique further implies that the s-LNvs project to form synaptic connections with the l-LNvs (Figure 6B). Moreover, when we disrupted GABA transmission using R6GAL4 by knocking down VGAT or Gad1, this reduced GABA intensity in the l-LNvs, implicating that the s-LNvs may release GABA onto the l-LNvs (Figure 6C–E). At the behavioral level, these manipulations suppress the long-sleep phenotype of cry mutation (Figure 6F–I; Figure 6—figure supplement 1).

Figure 6. Small ventral lateral neurons (s-LNvs) release GABA onto the large ventral lateral neurons (l-LNvs).

(A) l-LNvs of male flies expressing syt-GFP in the s-LNvs using R6GAL4 maintained under 4L20D and immunostained with pigment dispersing factor (PDF) antisera. (B) l-LNvs of male flies expressing trans-Tango in the s-LNvs using R6GAL4 maintained under 4L20D and immunostained with HA and PDF antisera. (C) Brains from male flies with VGAT (top) or Gad1 (bottom) knocked down in the s-LNvs using R6GAL4 and controls maintained under 4L20D and immunostained with GABA (cyan) and PDF (magenta) antisera. Representative l-LNvs are displayed. Merged signal is shown as white. (D, E) Bar graphs represent normalized GABA intensity in the l-LNvs of flies with VGAT (D) (n=29, 37 cells) or Gad1 (E) (n=37, 51 cells) knocked down in the s-LNvs using R6GAL4, monitored under 4L20D. The average value of the control group is set to 1. Two-tailed Student’s t-test: **p<0.01, ***p<0.001. (F) Daily sleep duration of male cry mutant flies with VGAT knocked down in the s-LNvs using R6GAL4 and relevant controls, monitored under 4L20D (n=31, 31, 32, 29, 43, 19 flies). For comparison between RNAi flies vs. UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, *p<0.05, **p<0.01; compared to UAS control, ###p<0.01. For comparison between mutant vs. control, two-tailed Student’s t-test was used: compared to wild-type (WT) background, &&&p<0.001. (G) Sleep profile of male cry mutant flies with VGAT knocked down in the s-LNvs using R6GAL4 and relevant controls in F, monitored under 4L20D. (H) Daily sleep duration of male cry mutant flies with Gad1 knocked down in the s-LNvs using R6GAL4 and relevant controls, monitored under 4L20D (n=59, 59, 53, 60, 62, 45 flies). For comparison between RNAi flies vs. UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, *p<0.05, **p<0.01, ***p<0.001; compared to UAS control, #p<0.05, ##p<0.01. For comparison between mutant vs. control, two-tailed Student’s t-test was used: compared to WT background, &&&p<0.001. (I) Sleep profile of male cry mutant flies with Gad1 knocked down in the s-LNvs using R6GAL4 and relevant controls in H, monitored under 4L20D. The scale bar represents 15 µm. Error bars represent standard error of the mean (SEM). G4, GAL4; U, UAS; NS, not significant.

Figure 6—source data 1. Numerical data with associated statistical analyses underlying Figure 6.

Figure 6.

Figure 6—figure supplement 1. Knocking down VGAT or Gad1 suppresses the long-sleep phenotype of cry mutation.

Figure 6—figure supplement 1.

(A–C) Daily waking activity (A), sleep bout number (B), average sleep bout length (C) of male cry mutant flies with VGAT knocked down in the small ventral lateral neurons (s-LNvs) using R6GAL4 and relevant controls in Figure 6F, monitored under 4L20D. (D–F) Daily waking activity (D), sleep bout number (E), average sleep bout length (F) of male cry mutant flies with Gad1 knocked down in the s-LNvs using R6GAL4 and relevant controls in Figure 6H, monitored under 4L20D. For comparison between RNAi flies vs. UAS/GAL4 controls, one-way ANOVA with Bonferroni multiple comparison test was used: compared to GAL4 control, ***p<0.001; compared to UAS control, #p<0.05, ##p<0.01, ###p<0.001. For comparison between mutant vs. control, two-tailed Student’s t-test was used: compared to wild-type (WT) background, &&p<0.01, &&&p<0.001. Error bars represent standard error of the mean (SEM). G4, GAL4; U, UAS.

Taken together, these results suggest that cry deficiency in the s-LNvs results in increased neuronal activity and thus enhanced GABA release at the l-LNvs via direct synaptic projections, ultimately leading to decreased wakefulness and increased sleep.

Short photoperiod reduces GABA level at the l-LNvs

Our findings thus far point to an inhibitory role of CRY on the GABAergic tone, and this, in turn, removes the inhibition on the neural activities of the l-LNvs. Since CRY is degraded by light, we hypothesized that CRY should exert a stronger effect on GABA under short photoperiod (Emery et al., 1998). Consistently, GABA intensity does appear to be downregulated at the l-LNvs under 4L20D vs. 12L12D (Figure 7A and B). On the other hand, GABA intensity does not exhibit photoperiod-dependent alteration in the s-LNvs (Figure 7C and D). Presumably, this reduced GABA level at the l-LNvs under 4L20D can result in elevated activation of these cells and increased wakefulness. In line with this, WT flies display shortened sleep duration under 4L20D compared to 12L12D (Figure 7E and F). This sleep reduction is a result of decreased sleep bout length but not bout number, while wake activity is not altered by photoperiod (Figure 7G–I). These observations indicate that short photoperiod hampers sleep maintenance, similar to the effects of CRY.

Figure 7. Short photoperiod reduces GABA level at the large ventral lateral neurons (l-LNvs) and increases sleep duration.

Figure 7.

(A–D) Brains from male wild-type (WT) flies dissected at ZT1, 7, 13, 19 under 4L20D or 12L12D are immunostained with GABA (cyan) and pigment dispersing factor (PDF) (magenta) antisera. Representative l-LNvs (A) and small ventral lateral neurons (s-LNvs) (C) are displayed. Merged signal is shown as white. Bar graphs represent normalized GABA intensity in the l-LNvs (B) (n=28–55 cells) and s-LNvs (D) (n=21–59 cells). The average value of the control group at ZT1 is set to 1. Student’s t-test: ***p<0.001. (E–I) The daily sleep duration (E), sleep bout number (F), average sleep bout length (G), waking activity (H), and sleep profile (I) of male WT flies under 4L20D and 12L12D (n=91, 32 flies). Two-tailed Student’s t-test: ***p<0.001. The scale bar represents 15 µm. Error bars represent SEM. (J) A model demonstrating how CRY regulates the GABAergic s-LNv/l-LNv circuitry under short vs. longer photoperiods to promote arousal.

Figure 7—source data 1. Numerical data with associated statistical analyses underlying Figure 7.

Discussion

Previous studies have shown that CRY mediates light-induced electrical activity of the l-LNvs and acute arousal, which indicates that CRY can immediately act to promote wake and terminate sleep in response to light pulse (Fogle et al., 2015; Sheeba et al., 2008). At the molecular level, this is believed to be accomplished by a direct coupling of light-activated CRY with HK in the l-LNvs (Fogle et al., 2015). Here, we found that CRY promotes extended wakefulness under short photoperiod by functioning as an inhibitor of GABAergic tone. In contrast to the previously characterized roles of CRY, which are activated by light, we believe this novel function we identify here reflects a role for CRY in the dark. Under short photoperiods, CRY acts in the dark to inhibit GABA signaling and thus promote wakefulness, leading to reduced sleep during the dark phase compared to longer photoperiods. Indeed, CRY is an ideal signal for conveying photoperiodic information, for it is degraded by light and only accumulates during darkness (Emery et al., 1998). It can measure the length of the day/night and thus instruct downstream signaling components to modulate photoperiod-dependent processes. Consistent with this idea, the largest increases of sleep in cry mutants occur immediately after lights-off and prior to lights-on (Figure 1B), indicating that CRY functions to promote wakefulness during these time windows, which are exactly the time windows that would be affected by photoperiod changes (i.e. there will be light during these time windows under longer photoperiods). In other words, CRY appears to act at the time of the day that is most sensitive to photoperiodic changes, which fits perfectly with the idea that it serves as an instructive signal of day/night length.

While EOS and NipA treatment lengthen sleep duration as previously reported, we are somewhat surprised by the observation that knocking down Gad1 or VGAT in GABAergic neurons also extends sleep duration (Ki and Lim, 2019; Leal and Neckameyer, 2002). We reason this may be due to some sort of overcompensation induced by chronic GABA deficiency to maintain excitation/inhibition balance, as previous studies have reported that the amplitude of glutamatergic current is substantially downregulated in Gad1 mutant flies and increased in Gad1 overexpression flies (Featherstone et al., 2000), (Featherstone et al., 2002). Consistent with this idea, we noticed when cry is knocked down in Gad1/VGAT RNAi flies, sleep duration is shortened and comparable to that of the controls. This is probably because cry depletion enhances the GABAergic tone, thus normalizing GABA signaling in these flies, which results in normal sleep duration.

We acknowledge that THIP treatment leads to prominent lengthening of sleep duration, and thus it is possible in this case cry deficiency no longer increases sleep duration due to a ceiling effect rather than epistatic interaction. Nonetheless, considering that CBZ and Rdl mutation also block the effect of cry deficiency on sleep duration, it is highly likely that GABA-A receptor mediates the influences of CRY on sleep. One caveat is that the RdlMD-RR mutation has been shown to diminish the desensitization of GABA-A receptor and is thus believed to be a gain-of-function allele, but here we found that it eliminates the effect of cry RNAi on sleep (Zhang et al., 1994). We suspect that similar to Gad1/VGAT RNAi, chronic enhancement of GABA-A function associated with RdlMD-RR mutation may also trigger some kind of compensatory mechanism that counteracts this increased GABA-A activity. Consequently, the influences of cry RNAi on sleep are blocked. Of course, a lot more in-depth characterizations are required to elucidate these issues.

The s-LNvs have been reported to receive GABAergic inputs possibly via GABA-B receptors, but have not been shown to be able to synthesize GABA (Dahdal et al., 2010; Hamasaka et al., 2005). One study using cell-type-specific gene expression profiling demonstrates Gad1 and VGAT expression in both s-LNvs and l-LNvs, although with relatively low signal (Nagoshi et al., 2010). Here, we observed that Gad1GAL4 is expressed in the s-LNvs, and their GABA intensity is reduced when we use R6GAL4 to knock down VGAT in these cells. R6GAL4 drives prominent expression in the s-LNvs with very little, if any, expression in the l-LNvs, and weaker (and not very consistent) expression in several other neurons in the protocerebrum, pars intercerebralis, and subesophageal area, which are all believed to lie outside of the circadian neuron network (Helfrich-Förster et al., 2007). Therefore, we reason that the alteration of GABA signal associated with knocking down VGAT should arise from VGAT deficiency within the s-LNvs. We do acknowledge that the GABA immunostaining shown here is not optimal, but in combination with the genetic data, the results converge at the conclusion that the s-LNvs are GABAergic as the most plausible explanation. Although knocking down VGAT or Gad1 using R6GAL4 can suppress the long sleep phenotype of cry mutants, knocking down cry only leads to a modest lengthening of sleep duration. Moreover, inhibiting cry RNAi expression in PDF neurons does not eliminate the long-sleep phenotype of Gad1GAL4/UAScryRNAi flies. Therefore, we suspect that cry deficiency in other GABAergic neurons is also required for the long-sleep phenotype. Given that the s-LNvs are known to express CRY and appear to be GABAergic based on our findings here, we believe that CRY acts at least in part in the s-LNvs to promote wakefulness under short photoperiod.

The molecular mechanism by which CRY downregulates the GABAergic tone remains unclear. Besides conducting light-driven depolarization via HK, CRY has also been shown to act in synergy with HK to prevent membrane input resistance from falling to a low level in larval salivary glands (Agrawal et al., 2017; Fogle et al., 2015). In contrast to previous studies, here, we found that lack of CRY increases the activity of the s-LNvs. Instead of functioning in synergy with HK, CRY appears to act in the opposite direction of HK as overexpressing hk enhances the long-sleep phenotype caused by cry mutation. We reason that the coupling between CRY and HK, as well as their influences on the electric activity in the s-LNvs, may be different from that of the l-LNvs and larval salivary glands. Nonetheless, our results also support an interaction between CRY and HK to promote arousal. We suspect that CRY acts via HK to inhibit the activity of the s-LNvs, which results in decreased GABA release and disinhibition of the l-LNvs. Extensive further investigations will be needed to elucidate the mechanism by which CRY regulates the activity of the s-LNvs.

In conclusion, here, we describe a CRY-controlled GABAergic circuitry potentially involving the l-LNvs and the s-LNvs that adjusts sleep duration in adaptation to changes in day length and propose a mechanistic explanation regarding how this circuitry functions (Figure 7J). Under short photoperiods, more CRY accumulates and inhibits the activity of the GABAergic s-LNvs, leading to a disinhibition of the l-LNvs, which can release more PDF and promote arousal. Under longer photoperiods, on the other hand, less CRY can accumulate and thus the s-LNvs will exert more inhibitory influences on the l-LNvs, leading to decreased release of PDF and wakefulness. Notably, almost all neurons in the mammalian pacemaker, the suprachiasmatic nucleus, are GABAergic, and GABA/GABA-A signaling has been shown to mediate neuronal coupling in response to photoperiod changes (Ono et al., 2021). We believe a similar GABAergic circuitry may exist in the mammalian system that adjusts sleep/wakefulness to photoperiodic changes.

Materials and methods

Key resources table

Please see Appendix 1.

Fly strains

All strains were obtained from Bloomington Drosophila Stock Center, Vienna Drosophila Resource Center, and TsingHua Fly Center or as gifts from colleagues. Except for Gad1GAL4-2, all neurotransmitter-related GAL4 lines were generated in Dr. Yi Rao’s laboratory (Deng et al., 2019). The Drosophila strains used are listed in the resources table. All flies used for sleep monitoring were backcrossed with the isogenic w1118 strain for at least five times except for cry03, which was backcrossed three times. All experiments were conducted in male flies unless otherwise specified.

Fly sleep monitoring and analysis

Flies were raised on standard cornmeal-yeast-sucrose medium and kept in 12L12D at 25°C until behavior monitoring. ~3- to 4-day-old flies were entrained under different photoperiods at 25°C for 4 days, and then their activities in the next 3 days were analyzed. Sleep is defined as 5 min consecutive inactivity. Sleep was analyzed with Counting Macro written in Excel (Microsoft) following previously published protocol (Pfeiffenberger et al., 2010). Flies were fed with agar-sucrose food (2% agar, 5% sucrose) during the entire sleep monitoring. TrpA1 flies were raised at 21°C and baseline sleep was monitored at 21°C. Temperature was then raised at lights on to 29°C for further sleep monitoring.

Drug treatment

For pharmacological experiments, drugs were mixed in the fly food at the following concentrations. For NipA (10 mg/ml, Sigma) and EOS (10 mM, Sigma), drugs were fed during the entire sleep monitoring. For THIP (10 µg/ml, Sigma), SKF-97541 (10 µg/ml, Tocris), and CBZ (0.15 mg/ml, Sinopharm Chemical Reagent), drugs were fed for 1 day after baseline sleep monitoring. The same amount of solvent was added into the fly food as vehicle control.

RNA extraction and qRT-PCR

Approximately fifty 5-day-old flies were collected and frozen immediately on dry ice. Fly heads were isolated and homogenized in TRIzol reagent (Life Technologies). Total RNA was extracted and qRT-PCR conducted following our previously published procedures (Bu et al., 2019).

Immunostaining

Male flies were entrained for 3 days under indicated photoperiod and collected on day 4. Flies were anesthetized with CO2 and dissected and fixed with 4% paraformaldehyde diluted in PBS at the indicated time points. The brains were then fixed with 4% paraformaldehyde for 30 min. Samples were washed with PBT (PBS with 0.3% Triton X-100) for 3×10 min. Then samples were incubated in PBS with 1% Triton X-100 for 20 min at room temperature. Brain samples were then blocked in PBT with 5% fetal bovine serum (Hyclone) for 30 min and subsequently incubated with mouse anti-PDF (1:100, DSHB), rabbit anti-GABA (1:200, Sigma), and anti-HA (1:100, DSHB) for 2–4 days at 4°C (4 days for anti-GABA and 2 days for the other antibodies). After PBT rinses for three times, the brains were incubated with donkey anti-mouse Alexa Fluor 594 (1:1000, Life Technologies), donkey anti-rabbit Alexa Fluor 488 (1:1000, Abcam), and donkey anti-rabbit Alexa Fluor 647 (1:1000, Abcam) overnight at 4°C. Then the brains were rinsed three times in PBS and mounted and imaged using Olympus FV3000 confocal microscope with a 60× objective lens. The intensity of GABA signal was quantified using ImageJ software. For each cell, the image slice with the strongest signal in the Z stack was selected and average intensity was quantified. A region on the same image slice was then selected as background and its intensity value was subtracted from the average intensity value of the cell. This subtracted value was subsequently normalized to the average intensity of the control group as indicated in figure legends. Sample sizes in the legends indicate number of cells examined per genotype. For trans-Tango experiment, offspring were raised at 18°C for 3–4 weeks before HA and PDF immunostaining.

Calcium imaging

For live imaging experiments (GCaMP and tdTomato), flies 2–3 days of age were collected into tubes with standard food and entrained under an LD cycle for 3 days. Flies were anesthetized with CO2 and brains were dissected at the indicated time points in Drosophila adult hemolymph-like saline solution. The dissected brain samples were put on glass slide and sealed with cover slide. The duration for dissection and microscopy should be completed within 0.5 hr for each time point. Images were captured with Olympus FV3000 confocal microscopy with a 20× objective lens. The intensity of GCaMP and tdTomato signals was quantified using ImageJ software. Sample sizes in the legends indicate number of cells examined per genotype.

Statistical analysis

For data that fit a normal distribution, a two-tailed Student’s t-test (Microsoft Excel) was used to compare the difference between two genotypes. For data that do not fit a normal distribution, the Mann-Whitney test (GraphPad Prism) was used to compare the differences between two genotypes. For multiple comparisons, one-way ANOVA with Bonferroni multiple comparison test (GraphPad Prism) was used. Sample size, statistical test, and significance values are indicated in figure legends. Sample size is determined based on previous studies with similar experimental assays. Flies used were randomly selected. All replicates are biological replicates.

Acknowledgements

We would like to thank Drs. Chang Liu, Yi Rao, Liming Wang, Junhai Han, Zhihua Liu, and Yi Zhong for kindly providing flies used in this study. We would also like to thank Dr. Chang Liu for helpful advice on GABA immunostaining. This work was supported by grants from the Ministry of Science and Technology of China STI 2030-Major Projects (2021ZD0203202 and 2024YFA1803201), Natural Science Foundation of China (82530044 and 32341021), and Science and Technology Department of Hubei Province (2022CFA049) to Luoying Zhang, and a grant from the Natural Science Foundation of China (32300984) to Lixia Chen.

Appendix 1

Appendix 1—key resources table.

Reagent type (species) or resource Designation Source or reference Identifiers Additional information
Genetic reagent (D. melanogaster) Isogenic w1118 Bloomington Drosophila Stock Center RRID:BDSC_5905
Genetic reagent (D. melanogaster) cryb Bloomington Drosophila Stock Center RRID:BDSC_80921
Genetic reagent (D. melanogaster) per 0 Bloomington Drosophila Stock Center RRID:BDSC_80917
Genetic reagent (D. melanogaster) tim0 Bloomington Drosophila Stock Center RRID:BDSC_80922
Genetic reagent (D. melanogaster) clkjrk Bloomington Drosophila Stock Center RRID:BDSC_80927
Genetic reagent (D. melanogaster) cyc0 Bloomington Drosophila Stock Center RRID:BDSC_80929
Genetic reagent (D. melanogaster) Pdf 01 Bloomington Drosophila Stock Center RRID:BDSC_26654
Genetic reagent (D. melanogaster) Pdfrhan5304 Bloomington Drosophila Stock Center RRID:BDSC_33068
Genetic reagent (D. melanogaster) RdlMD-RR Bloomington Drosophila Stock Center RRID:BDSC_1675
Genetic reagent (D. melanogaster) cry03 PMID:17720919 FlyBase symbol:TI{TI}cry03
Genetic reagent (D. melanogaster) UAS-hk Bloomington Drosophila Stock Center RRID:BDSC_86270
Genetic reagent (D. melanogaster) UAS-NachBac Bloomington Drosophila Stock Center RRID:BDSC_9469
Genetic reagent (D. melanogaster) UAS-TrpA1 Bloomington Drosophila Stock Center RRID:BDSC_26263
Genetic reagent (D. melanogaster) UAS-Kir2.1 Bloomington Drosophila Stock Center RRID:BDSC_6596
Genetic reagent (D. melanogaster) UAS-sytGFP Bloomington Drosophila Stock Center RRID:BDSC_6925
Genetic reagent (D. melanogaster) UAS-nlsGFP Bloomington Drosophila Stock Center RRID:BDSC_4775
Genetic reagent (D. melanogaster) UAS-myrGFP, QUAS-mtdTomato(3XHA); trans-tango Bloomington Drosophila Stock Center RRID:BDSC_77480
Genetic reagent (D. melanogaster) 13XLexAop2-post-t-GRASP, 20XUAS-pre-mGRASP Bloomington Drosophila Stock Center RRID:BDSC_79040
Genetic reagent (D. melanogaster) LexAop-rCD2-RFP PMID:24012007
Perisse et al., 2013
Genetic reagent (D. melanogaster) UAS-cryRNAi-1 TsingHua Fly Center THU4761
Genetic reagent (D. melanogaster) UAS-cryRNAi-2 TsingHua Fly Center THU5148
Genetic reagent (D. melanogaster) UAS-gad1RNAi-1 TsingHua Fly Center THU2920
RRID:BDSC_28079
Genetic reagent (D. melanogaster) UAS-VGATRNAi-1 TsingHua Fly Center THU4303
RRID:BDSC_41955
Genetic reagent (D. melanogaster) UAS-VGATRNAi-2 Vienna Drosophila Resource Center V45916
RRID:Flybase_FBst0466419
Genetic reagent (D. melanogaster) UAS-GCaMP6m-tdTomato PMID:23868258
Genetic reagent (D. melanogaster) Pdf-LexA PMID:19060186
Genetic reagent (D. melanogaster) PdfGAL4 Bloomington Drosophila Stock Center RRID:BDSC_6899
Genetic reagent (D. melanogaster) VGATGAL4 Bloomington Drosophila Stock Center RRID:BDSC_58980
Genetic reagent (D. melanogaster) Gad1GAL4-1 PMID:30799021
Genetic reagent (D. melanogaster) Gad1GAL4-2 Bloomington Drosophila Stock Center RRID:BDSC_51630
Genetic reagent (D. melanogaster) Dop2RGAL4 PMID:30799021
Genetic reagent (D. melanogaster) THGAL4 PMID:30799021
Genetic reagent (D. melanogaster) TrhGAL4 PMID:30799021
Genetic reagent (D. melanogaster) AdoRGAL4 PMID:30799021
Genetic reagent (D. melanogaster) DATGAL4 PMID:30799021
Genetic reagent (D. melanogaster) GABAR1GAL4 PMID:30799021
Genetic reagent (D. melanogaster) GABAR3GAL4 PMID:30799021
Genetic reagent (D. melanogaster) SerTGAL4 PMID:30799021
Genetic reagent (D. melanogaster) GluRIAGAL4 PMID:30799021
Genetic reagent (D. melanogaster) R6GAL4 PMID:17099895 FlyBase symbol:P{GawB}crcR6
Genetic reagent (D. melanogaster) c929GAL4 PMID:18365028
Park et al., 2008
FlyBase symbol:P{GawB}crcc929
Genetic reagent (D. melanogaster) R10H10GAL4 Bloomington Drosophila Stock Center
PMID:31856635
Sekiguchi et al., 2020
RRID:BDSC_48445
Genetic reagent (D. melanogaster) R78G01GAL4 Bloomington Drosophila Stock Center RRID:BDSC_40009
Genetic reagent (D. melanogaster) PdfGAL80 PMID:15483615
Antibody Anti-PDF (mouse monoclonal) Developmental Studies Hybridoma Bank (DSHB) Cat#PDF C7;
RRID:AB_760350
IF (1:100)
Antibody Anti-GABA (rabbit polyclonal) Sigma Cat#A2052;
RRID:AB_477652
IF (1:200)
Antibody Anti-HA (mouse monoclonal) DSHB Cat#anti-HA rRb-IgG;
RRID:AB_3105929
IF (1:100)
Antibody Alexa Fluor 594 (mouse polyclonal) Life Technologies Cat#A-11005; RRID:AB_2534073 IF (1:1000)
Antibody Alexa Fluor 488 (rabbit polyclonal) Abcam Cat#ab150077; RRID:AB_2630356 IF (1:1000)
Antibody Alexa Fluor 647 (rabbit polyclonal) Abcam Cat#ab150075; RRID:AB_2752244 IF (1:1000)
Sequence-based reagent cry_F This paper PCR primers TGCAGGTACCAAGAATGTGG
Sequence-based reagent cry_R This paper PCR primers GTCCACGTCCATCAGTTGC
Sequence-based reagent Gad1_F This paper PCR primers TGCCACCACATTGAAGTACC
Sequence-based reagent Gad1_R This paper PCR primers GGTGAACATGTTGGTGTTCG
Sequence-based reagent VGAT_F This paper PCR primers ACGGCTTTAGGCAAGGTAGC
Sequence-based reagent VGAT_R This paper PCR primers TTGGAATTCGTCGATTTTGC
Chemical compound, drug Nipecotic acid Sigma Cat#211672 10 mg/ml
Chemical compound, drug EOS Sigma Cat#06720 10 mM
Chemical compound, drug THIP Sigma Cat#T101 10 µg/ml
Chemical compound, drug SKF-97541 Tocris Cat#0379 10 µg/ml
Chemical compound, drug CBZ Sinopharm Chemical Reagent Cat#298-46-4 0.15 mg/ml
Software, algorithm ImageJ NIH RRID:SCR_002285
Software, algorithm Drosophila Activity Monitor system TriKinetics RRID:SCR_021798 Counting Macro
Software, algorithm GraphPad Prism 8.0 GraphPad Software RRID:SCR_002798 https://www.graphpad.com/scientific-software/prism/

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Luoying Zhang, Email: zhangluoying@hust.edu.cn.

Krishna Melnattur, Ashoka University, India.

Sonia Q Sen, Tata Institute for Genetics and Society, India.

Funding Information

This paper was supported by the following grants:

  • Ministry of Science and Technology of the People's Republic of China 2021ZD0203202 to Luoying Zhang.

  • National Natural Science Foundation of China 82530044 to Luoying Zhang.

  • National Natural Science Foundation of China 32341021 to Luoying Zhang.

  • Ministry of Science and Technology of the People's Republic of China 2024YFA1803201 to Luoying Zhang.

  • National Natural Science Foundation of China 32300984 to Lixia Chen.

  • Science and Technology Department of Hubei Province 2022CFA049 to Luoying Zhang.

Additional information

Competing interests

No competing interests declared.

Author contributions

Funding acquisition, Investigation, Writing – original draft, Project administration, Writing – review and editing.

Investigation.

Investigation.

Conceptualization, Resources, Supervision, Funding acquisition, Writing – original draft, Writing – review and editing.

Additional files

MDAR checklist

Data availability

All data generated or analyzed during this study are included in the manuscript and supporting files.

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eLife Assessment

Krishna Melnattur 1

Winter months with short days are commonly associated with seasonal depression and hypersomnolence; the mechanisms behind this hypersomnolence however, remain unclear. Chen and colleagues identify a genetic basis for this phenomenon in the fly Drosophila - mutations in the circadian photoreceptor cryptochrome resulted in increased sleep under short photoperiods. These findings are valuable insights into the genetic mechanisms regulating sleep under short days. There is solid evidence that cryptochrome acts in GABAergic neurons, but only limited evidence for the proposed site of action. Further work with better techniques will be needed to identify the precise site of action of cryptochrome.

Reviewer #1 (Public review):

Anonymous

Summary:

In this paper, Chen et al. identified a role for the circadian photoreceptor CRYPTOCHROME (CRY) in promoting wakefulness under short photoperiods. This research is potentially important as hypersomnolence is often seen in patients suffering from SAD during winter times. The mechanisms underlying these sleep effects are poorly known.

Strengths:

The authors clearly demonstrated that mutations in cry lead to elevated sleep under 4:20 Light-Dark (LD) cycles. Furthermore, using RNAi, they identified GABAergic neurons as a primary site of CRY action to promote wakefulness under short photoperiods. They then provide genetic and pharmacological evidence demonstrating that CRY acts on GABAergic transmission to modulate sleep under such conditions.

Weaknesses:

The authors then went on to identify the neuronal location of this CRY action on sleep. This is where this reviewer is much more circumspect about the data provided. The authors hypothesize that the l-LNvs which are known to be arousal promoting may be involved in the phenotypes they are observing. To investigate this, they undertook several imaging and genetic experiments.

While the authors have made improvements in this resubmitted manuscript, there are still multiple concerns about the paper. I think the authors provide enough evidence suggesting that CRY plays a role in sleep under short photoperiod. The data also supports that CRY acts in GABAergic neurons. However, the identity of the GABAergic neurons involved in this CRY dependent sleep mechanism remains unclear. Similarly, whether l-LNvs are the target of this GABA mediated sleep regulation under short photoperiod is not fully demonstrated. The data presented suggests that but does not conclusively prove it.

Reviewer #3 (Public review):

Anonymous

Summary:

In humans, short photoperiods are associated with hypersomnolence. The mechanisms underlying these effects is, however, unknown. Chen et al. use the fly Drosophila to determine the mechanisms regulating sleep under short photoperiods. They find that mutations in the circadian photoreceptor cryptochrome (cry) increase sleep specifically under short photoperiods (e.g. 4h light : 20 h dark). They go on to show that cry is required in GABAergic neurons and that the effects of the cry mutation on sleep are mediated by alterations in GABA signalling. Further, they suggest that the relevant subset of GABAergic neurons are the well-studied small ventral lateral neurons that they suggest inhibit the arousal promoting large ventral neurons via GABA signalling.

Strengths:

Genetic analysis to show that cryptochrome (but not other core clock genes) mediates the increase in sleep in short photoperiods, and circuit analysis to localise cry function to GABAergic neurons.

Weaknesses:

The authors' have substantially revised their manuscript, and the manuscript is much better for the revisions. However, the idea that the sLNvs are GABAergic is unfortunately still not well supported by the data. The authors have acknowledged the limitations of their methods though which is very welcome, and a substantial improvement.

Reviewer #4 (Public review):

Anonymous

Summary:

Short photoperiod is an important experimental manipulation in neurobiology, endocrinology, and metabolism studies. However, the molecular mechanisms by which short photoperiod gives rise to behavioral phenotypes that are seen in seasonal affective disorders remain unknown. Using the classic circadian model organism Drosophila, this study examines short photoperiod-induced hypersomnolence and identifies the circadian photoreceptor cryptochrome as a regulator of GABAergic tone within the clock neural circuit to promote wakefulness under short photoperiod conditions. The discovery has broad implications for understanding how short photoperiod modulates neural inhibition in circadian circuits in regulating sleep.

Strengths:

The Drosophila model provided a powerful platform to dissect the molecular mechanisms underlying short photoperiod-induced hypersomnolence. A battery of behavioral, imaging, circuit-manipulation approaches were employed to test the novel hypothesis that the circadian photoreceptor cryptochrome modulates GABAergic tone within the clock neural circuit to promote wakefulness under short photoperiod conditions.

Weaknesses:

The current model proposed by the authors suggests that the small ventral lateral neurons of the Drosophila clock circuit are GABAergic; however, this remains unclear. At present, the field lacks sufficient data and validated reagents to definitively establish the GABAergic identity of these neuropeptidergic neurons.

eLife. 2026 Oct 8;12:RP92608. doi: 10.7554/eLife.92608.4.sa4

Author response

Lixia Chen 1, Danya Tian 2, Chang Su 3, Luoying Zhang 4

The following is the authors’ response to the previous reviews

Public Reviews:

Reviewer #1 (Public review):

Summary:

In this paper, Chen et al. identified a role for the circadian photoreceptor CRYPTOCHROME (CRY) in promoting wakefulness under short photoperiods. This research is potentially important as hypersomnolence is often seen in patients suffering from SAD during winter times. The mechanisms underlying these sleep effects are poorly known.

Strengths:

The authors clearly demonstrated that mutations in cry lead to elevated sleep under 4:20 Light-Dark (LD) cycles. Furthermore, using RNAi, they identified GABAergic neurons as a primary site of CRY action to promote wakefulness under short photoperiods. They then provide genetic and pharmacological evidence demonstrating that CRY acts on GABAergic transmission to modulate sleep under such conditions.

Weaknesses:

The authors then went on to identify the neuronal location of this CRY action on sleep. This is where this reviewer is much more circumspect about the data provided. The authors hypothesize that the l-LNvs which are known to be arousal promoting may be involved in the phenotypes they are observing. To investigate this, they undertook several imaging and genetic experiments.

While the authors have made improvements in this resubmitted manuscript, there are still multiple concerns about the paper. I think the authors provide enough evidence suggesting that CRY plays a role in sleep under short photoperiod. The data also supports that CRY acts in GABAergic neurons. However, there are still major issues with the quality of the confocal images presented throughout the paper. In many cases it appears that the images are oversaturated with poor resolution, making it hard to understand what is going on. In addition, none of the drivers used in this study are specific to the neurons the authors aim to manipulate. Therefore, the identity of the GABAergic neurons involved in this CRY dependent sleep mechanism remains unclear. Similarly, whether l-LNvs are the target of this GABA mediated sleep regulation under short photoperiod is not fully demonstrated. The data presented suggests that but does not prove it.

Major concerns:

(1) While the authors provided sleep parameters like consolidation or waking activity for some experiments. These measurements are still not shown for several experiments (for example Figures 2E, 3, 4, 5, and 6). These data are essential, these metrics must be reported for all sleep experiments.

These metrics have now been added to Fig.2 S4 and 5, Fig.3 S1-3, Fig.4 S2 and 3, Fig.5 S2 and 4, as well as Fig.6 S1.

(2) Line 144 "We fed flies with agonists of GABA-A (THIP) and GABA-B receptor (SKF-97541) (Ki and Lim, 2019; Matsuda et al., 1996; Mezler et al., 2001). Both drugs enhance sleep in WT," The proper citation is needed here, Dissel et al., 2015 PMID:25913403. Both THIP and SKF-97541 were used in that paper.

Thank you for pointing this out. We have modified our manuscript accordingly.

(3) Figure 2C and 2F: it appears that the control data is the same in both panels. That is not acceptable.

Thank you for pointing this out. We are now using data from control flies that were monitored in the same experiments as the experimental groups.

(4) Figure 4A: With the quality of the images, it is impossible to assess whether GABA levels are increased at the l-LNvs soma.

We apologize for the poor quality. Unfortunately, the GABA immunostaining does not work very well in our hands and thus the background is high. We have now commented on this issue in the fourth paragraph of discussion and have toned down our conclusions regarding the GABAergic s-LNv—l-LNv circuitry in this revised version of the manuscript.

(5) Fig 4 S1A shows colabeling of l-LNvs and Gad1-Gal4 expressing neurons. They are almost 100% overlapping signals. This would indicate that the l-LNvs are GABAergic themselves, or that there is a problem with this experiment.

Fig 4 S1A demonstrates the expression pattern of SYT-GFP driven by Gad1GAL4, which should label the synaptic terminals of GABAergic neurons. Therefore, the labeling observed at l-LNvs suggest that GABAergic neurons project to l-LNvs. This is further validated by the GRASP and trans-Tango experiments.

(6) Fig 4 S1B: Again, I can see colabelling of the GFP and PDF staining, suggesting that Gad1-Gal4 expresses in l-LNvs.

Fig 4 S1B demonstrates anatomical sites where GABAergic neurons project to and form synaptic connections with PDF neurons. Therefore, GFP signals at the l-LNvs suggest that these cells receive synaptic inputs from GABAergic neurons, echoing the results shown in Fig 4 S1A.

(7) Line 184: "Consistently, knocking down Rdl in the l-LNvs rescues the long sleep phenotype of cry mutants (Figure 4-figure supplement 1D)." This statement is incorrect as the driver used for this experiment, 78G01-GAL4 is not specific to the l-LNvs, so it is possible that the phenotypes observed are not coming from these neurons.

Thank you for pointing this out. We have modified our manuscript to note this.

(8) Figure 4G-K: None of these manipulations are specific to the l-LNvs. The authors describe 10H10-GAL4 and 78G01-GAL4 as l-LNvs specific tools, but this is not the case. Why not use the SS00681 Split-GAL4 line described in Liang et al., 2017 PMID: 28552314? It is possible that some of the effects reported in this manuscript are not caused by manipulating the l-LNvs.

Thank you for pointing this out. We have now modified our manuscript to avoid misleading remarks. We have used SS00681 Split-GAL4 to express TrpA1 but did not observe any substantial effect on sleep duration under short photoperiod. Therefore, we did not use this line for further experiments.

(9) Similarly for the manipulation of s-LNvs, the authors cannot rule out effect that are coming from other cells as R6-GAL4 is not specific to s-LNvs.

We have now modified our manuscript to avoid misleading remarks.

(10) The staining presented in Fig 5 S1 is not very convincing. Difficult to see whether Gad1-GAL4 only expresses in the s-LNvs.

We have now quantified the GFP signal in the l-LNvs and s-LNVs in Fig.5 S1B and D. As can be seen, the s-LNvs show prominent signal above the background while the l-LNvs do not.

Reviewer #3 (Public review):

Summary:

In humans, short photoperiods are associated with hypersomnolence. The mechanisms underlying these effects is however, unknown. Chen et al. use the fly Drosophila to determine the mechanisms regulating sleep under short photoperiods. They find that mutations in the circadian photoreceptor cryptochrome (cry) increase sleep specifically under short photoperiods (e.g. 4h light: 20 h dark). They go on to show that cry is required in GABAergic neurons and that the effects of the cry mutation on sleep are mediated by alterations in GABA signalling. Further, they suggest that the relevant subset of GABAergic neurons are the well-studied small ventral lateral neurons that they suggest inhibit the arousal promoting large ventral neurons via GABA signaling

Strengths:

Genetic analysis to show that cryptochrome (but not other core clock genes) mediates the increase in sleep in short photoperiods, and circuit analysis to localise cry function to GABAergic neurons.

Weaknesses:

The authors' have substantially revised their manuscript, and the manuscript is better for the revisions. However, the conclusion that the sLNvs are GABAergic is unfortunately still not well supported by the data. A key sticking point remains the anti GABA immunostaining, and specific driver lines for sLNvs and lLNvs.

The authors should tone down their conclusions to reflect the fact that their data, as presented, does not support the model that cry acts in sLNvs to modulate GABA signalling onto lLNvs and thus modulate sleep.

Thank you for the comments. We have now toned down our conclusions regarding the GABAergic s-LNv—l-LNv circuitry in this revised version of the manuscript in the Introduction, Results and Discussion.

Reviewer #4 (Public review):

Summary:

Short photoperiod is an important experimental manipulation in neurobiology, endocrinology, and metabolism studies. However, the molecular mechanisms by which short photoperiod gives rise to behavioral phenotypes that are seen in seasonal affective disorders remain unknown. Using the classic circadian model organism Drosophila, this study examines short photoperiod-induced hypersomnolence and identifies the circadian photoreceptor cryptochrome as a regulator of GABAergic tone within the clock neural circuit to promote wakefulness under short photoperiod conditions. The discovery has broad implications for understanding how short photoperiod modulates neural inhibition in circadian circuits in regulating sleep.

Strengths:

The Drosophila model provided a powerful platform to dissect the molecular mechanisms underlying short photoperiod-induced hypersomnolence. A battery of behavioral, imaging, circuit-manipulation approaches was employed to test the novel hypothesis that the circadian photoreceptor cryptochrome modulates GABAergic tone within the clock neural circuit to promote wakefulness under short photoperiod conditions.

Weaknesses:

The current model proposed by the authors suggests that the small ventral lateral neurons of the Drosophila clock circuit are GABAergic; however, this remains unclear. At present, the field lacks sufficient data and validated reagents to definitively establish the GABAergic identity of these neuropeptidergic neurons.

Thank you for the comments. We have now toned down our conclusions regarding the GABAergic s-LNv—l-LNv circuitry in this revised version of the manuscript.

Recommendations for the authors:

The manuscript has improved after revisions. However, the evidence in support of the claim that the sLNVs secrete GABA onto the lLNvs remains unconvincing. The evidence that loss of cry in GABAergic neurons modulates sleep is solid. However, the authors' claim that the sLNVs are the relevant GABAergic neurons is not sufficiently backed up by the evidence presented. We suggest that the authors tone down their conclusions to reflect this.

Thank you for the comments. We have now toned down our conclusions regarding the GABAergic s-LNv—l-LNv circuitry in this revised version of the manuscript in the Introduction, Results and Discussion.

Reviewer #3 (Recommendations for the authors):

Minor points:

(1) The authors suggest that the effects of cry on sleep and mediated by the Rdl receptor, and use the GABA agonist THIP as support of this argument. However THIP acts on the Lcch3 and Grd receptors, not Rdl

Thank you for pointing this out. We have modified relevant discussion accordingly.

(2) In several instances (e.g. line 66, line 148), the authors use 'consistently' in the sense of 'consistent with previous data'. It would be better if they rephrase this.

This has been fixed.

Reviewer #4 (Recommendations for the authors):

It is my pleasure to serve as a reviewer for this revised manuscript. The authors have carefully revised the manuscript in response to the critiques raised by all previous reviewers and have used all the available reagents to conduct additional experiments to assess the GABAergic properties of the small ventral lateral neurons (sLNv). Although it remains unclear in the field whether sLNvs co-transmit GABA, this study raises this possibility within an interesting biological relevant context. I recommend this manuscript for final publication.

Thank you for your comments.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Figure 1—source data 1. Numerical data with associated statistical analyses underlying Figure 1.
    Figure 2—source data 1. Numerical data with associated statistical analyses underlying Figure 2.
    Figure 3—source data 1. Numerical data with associated statistical analyses underlying Figure 3.
    Figure 4—source data 1. Numerical data with associated statistical analyses underlying Figure 4.
    Figure 5—source data 1. Numerical data with associated statistical analyses underlying Figure 5.
    Figure 6—source data 1. Numerical data with associated statistical analyses underlying Figure 6.
    Figure 7—source data 1. Numerical data with associated statistical analyses underlying Figure 7.
    MDAR checklist

    Data Availability Statement

    All data generated or analyzed during this study are included in the manuscript and supporting files.


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