Research Article

Dual PDF Signaling Pathways Reset Clocks Via TIMELESS and Acutely Excite Target Neurons to Control Circadian Behavior

  • Adam Seluzicki,

    Affiliation: Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America

  • Matthieu Flourakis,

    Affiliation: Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America

  • Elzbieta Kula-Eversole,

    Affiliation: Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America

  • Luoying Zhang,

    Affiliation: Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America

    Current address: Department of Neurology, University of California San Francisco, San Francisco, California, United States of America

  • Valerie Kilman,

    Affiliation: Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America

  • Ravi Allada mail

    Affiliation: Department of Neurobiology, Northwestern University, Evanston, Illinois, United States of America

  • Published: March 18, 2014
  • DOI: 10.1371/journal.pbio.1001810


Molecular circadian clocks are interconnected via neural networks. In Drosophila, PIGMENT-DISPERSING FACTOR (PDF) acts as a master network regulator with dual functions in synchronizing molecular oscillations between disparate PDF(+) and PDF(−) circadian pacemaker neurons and controlling pacemaker neuron output. Yet the mechanisms by which PDF functions are not clear. We demonstrate that genetic inhibition of protein kinase A (PKA) in PDF(−) clock neurons can phenocopy PDF mutants while activated PKA can partially rescue PDF receptor mutants. PKA subunit transcripts are also under clock control in non-PDF DN1p neurons. To address the core clock target of PDF, we rescued per in PDF neurons of arrhythmic per01 mutants. PDF neuron rescue induced high amplitude rhythms in the clock component TIMELESS (TIM) in per-less DN1p neurons. Complete loss of PDF or PKA inhibition also results in reduced TIM levels in non-PDF neurons of per01 flies. To address how PDF impacts pacemaker neuron output, we focally applied PDF to DN1p neurons and found that it acutely depolarizes and increases firing rates of DN1p neurons. Surprisingly, these effects are reduced in the presence of an adenylate cyclase inhibitor, yet persist in the presence of PKA inhibition. We have provided evidence for a signaling mechanism (PKA) and a molecular target (TIM) by which PDF resets and synchronizes clocks and demonstrates an acute direct excitatory effect of PDF on target neurons to control neuronal output. The identification of TIM as a target of PDF signaling suggests it is a multimodal integrator of cell autonomous clock, environmental light, and neural network signaling. Moreover, these data reveal a bifurcation of PKA-dependent clock effects and PKA-independent output effects. Taken together, our results provide a molecular and cellular basis for the dual functions of PDF in clock resetting and pacemaker output.

Author Summary

Circadian clocks provide a mechanism for predicting and adapting behavioral and physiological processes to 24-hour rhythms in the environment. In animal nervous systems, cell-autonomous molecular oscillators are coupled via neural networks that control daily patterns of activity. A major neuropeptide synchronizing neural oscillators in the Drosophila clock network is PIGMENT DISPERSING FACTOR (PDF). Here we identify a fork in the processing of the PDF signal in circadian neurons to independently reset the molecular clock and regulate neuronal activity. We show that the cAMP-activated protein kinase A (PKA) in circadian neurons is necessary and sufficient for many PDF-dependent behaviors. In addition, we find that a PDF>PDF receptor>PKA pathway targets the clock component TIMELESS to control molecular oscillators, and that this process may be influenced by rhythmic expression of PKA. We show that this pathway splits at the level of cAMP generation, with PDF and cAMP acutely increasing the activity of clock neurons in a PKA-independent manner. Thus, PDF operates via dual signaling pathways: one via PKA to reset clocks and the other via cAMP to acutely control activity. These results have broad implications given the conserved involvement of neuropeptide signaling in synchronizing clocks in circadian neural networks.


Circadian clocks endow organisms with the ability to predict and respond adaptively to daily changes in the environment. In many taxa, these clocks consist of cell-autonomous molecular feedback loops, producing ~24-hour oscillations at the mRNA and protein levels. In insects and mammals these clocks are also connected in neural networks that stabilize and synchronize these molecular feedback loops and communicate timing information to regulate daily behavior. How network and cell-autonomous mechanisms collaborate to produce robust circadian rhythms remains a major question.

In Drosophila, the molecular circadian clock consists of a set of interlocked transcriptional feedback loops in which the basic helix-loop-helix per-arnt-sim (bHLH-PAS) domain transcription factor CLOCK (CLK) forms a heterodimer with CYCLE (CYC) and binds E-boxes in the promoter regions of period (per), timeless (tim), vrille (vri), Par-domain protein 1ε (Pdp1ε) and clockwork orange (cwo), promoting their transcription (reviewed in [1]). PDP1ε and VRI feed back to regulate the Clk and cryptochrome (cry) promoters [2],[3], while CWO feeds back to regulate CLK/CYC activation at E-boxes [4][7]. PER and TIM proteins dimerize in the cytosol and are each required for their subsequent localization to the nucleus where PER inhibits CLK/CYC–mediated activation [8][14]. The CRY photoreceptor mediates light resetting via TIM degradation [15][18]. Clock function is evident as 24-h oscillations in the mRNA and protein levels of most of these clock components. The activity, stability, and subcellular localization of these proteins are largely controlled post-translationally by daily phosphorylation rhythms and subsequently by ubiquitin/proteasome dependent degradation [17],[19][25]. In contrast to transcriptional regulators, significant oscillations have not been described for these post-translational regulators with the exception of the PP2A subunits tws and wdb [26].

In insects and mammals, intercellular signaling among pacemaker neurons in neural networks has been found to be critical for synchronizing molecular clocks. The Drosophila pacemaker network is comprised of ~150 neurons of which specific subgroups regulate discrete aspects of behavior in light-dark (LD) and constant darkness conditions (DD) [27]. Two of these groups—all but one sLNv and all lLNvs (small and large ventral-lateral neurons) express the neuropeptide PIGMENT DISPERSING FACTOR (PDF). The s-LNvs rhythmically express PDF in the dorsally projecting terminals that terminate near the DN1 [28]. Loss of function of either pdf or its receptor pdfr results in strongly reduced morning anticipation, an evening activity peak that is phase-advanced by 1 h relative to wild-type, and strongly reduced DD rhythmicity [29][41]. Ablation of PDF neurons results in similar phenotypes suggesting that PDF is the major transmitter of these neurons [37]. Transgenic rescue of pdfr mutants showed morning anticipation could be attributed to function in the DN1p neurons, while evening anticipation phenotypes mapped to non-PDF neurons, including the PDF(−) sLNv, the CRY+ subset of the LNd, and the DN1 [35],[41].

PDF coordinates molecular oscillations between disparate circadian pacemaker neurons and mediates pacemaker neuron output downstream of the clock. tim and cry mRNA oscillations in pacemaker neurons are damped in pdf01 mutants [42]. The timing of nuclear entry of PER protein in sLNv becomes phase-dispersed in DD in pdf01 flies [43]. PER expression in the LNd and DN1 cells is phase advanced on the first day of DD and subsequently damps [34],[43]. Analysis of TIM protein levels and a PER-luciferase fusion reporter suggested that the clocks in the different cell groups in the network can both advance or delay in response to PDF signaling [44].

Interestingly, while pdfr mutants exhibit notably reduced morning anticipation, PER oscillations in sLNvs and DN1s are comparable to wild-type flies under LD conditions [35], suggesting that PDF also mediates pacemaker neuron output in clock target neurons. Acute activation and silencing of neuronal activity observed by PDF injection in cockroaches are consistent with this latter mechanism [45]. However, the underlying signaling pathways mediating these dual PDF functions within non-PDF clock neurons, i.e., clock resetting and neural output, have not been identified.


Reducing Protein Kinase A Activity in Non-PDF Circadian Neurons Mimics Loss of PDF/PDFR

PDFR is expressed in most of the pacemaker neurons and most of these neurons respond to PDF application in ex vivo preparations with increases in cAMP levels [46],[47]. We tested the function of the cAMP-dependent protein kinase A (PKA) in clock neuron-driven behavior. cAMP is the canonical activator of PKA activity. cAMP binds the PKA regulatory (R) subunit releasing the catalytic (C) subunit to phosphorylate substrates (reviewed in [48]). While PKA signaling has been implicated in circadian clock function [49],[50], its precise role in mediating PDFR signaling has not been defined.

Using the Gal4-UAS system, we expressed a type I regulatory subunit of PKA that is defective for cAMP binding (U-PKA-R1dn), thereby rendering endogenous catalytic subunits insensitive to cAMP activation [51],[52]. Initially we drove expression using circadian drivers, such as cwo-G4 (also known as c632a; [5]) and examined behavior under standard 12:12LD conditions. cwo-G4 is a GAL4 enhancer trap insertion just upstream of the transcription start site of core clock gene cwo and drives expression in clock neurons [5]. In addition to expression in the PDF clock neurons [5], we examined cwo-G4 driven nuclear green fluorescent protein (GFP) expression in pacemaker neurons using PER co-labeling. We observed GFP expression mainly in the circadian pacemaker neurons, with limited expression in other brain regions (Figure S1; unpublished data). Among pacemaker neurons, we observed GFP in non-PDF clock neurons, including all of the LNds and the PDF(−) s-LNv, as well as a number of DN1s and DN3s (Figure S1). Broad expression of PKA-R1dn with cwo-G4 (Figure 1C) was able to phenocopy many features seen in pdfr mutants (Figure 1D). These flies exhibited reduced morning anticipation and phase advanced evening activity under LD cycles, and were nearly arrhythmic in constant darkness, thus mimicking the three canonical behavioral phenotypes of pdf and pdfr mutants (Figure 1A–1E; Tables 1 and 2).


Figure 1. Expression of a dominant-negative PKA regulatory subunit (PKA-R1dn) can phenocopy pdfr- behavior phenotypes.

Histograms are normalized activity profiles of flies in 12;12 h dark (LD). Black bars indicate activity occurring in the dark phase, white bars indicate activity occurring in the light phase. Error bars are SEM. Genotype (N). (A) U-PKA-R1dn/+ (74), (B) cwo-G4/+ (16), (C) cwo-G4/U-PKA-R1dn (16), (F) pdfr- (32), (G) pdfG80/+;cwo-G4/+ (45), (H) pdf-G80/+;cwo-G4/U-PKA-R1dn (32). Blue arrowheads and associated values (onset time in ZT ± SEM) indicate the onset of evening activity as described [35], with the onset time defined as the first point in the largest increase in activity calculated over a 2-h (four 30-min bins) sliding window. Black arrowheads and associated values (morning index ± SEM) indicate morning anticipation. Morning index was calculated using a variant of the method described in [32] (See Materials and Methods for details on behavior quantification methods). (D,E,I,J) magnified overlays of morning (D, I) and evening (E, J) for the indicated color-coded genotypes. Graphs show the 6 h prior to the D>L (morning) or L>D (evening) transitions, as well as the first bin of the L or D phase, respectively. *p<0.05 versus both G4 and U parental controls.


Table 1. LD morning anticipation and evening phase measures.


Table 2. DD circadian behavior parameters.


Given that the majority of PDFR functions mapped to non-PDF clock neurons, we then asked whether these PKA-R1dn effects were due to its expression in non-PDF neurons by blocking PDF neuron expression with pdf-G80. Importantly, we did not detect cwo-G4 driven GFP expression in the PDF(+) neurons, verifying effective inhibition of cwo-G4 activity in those neurons by pdf-G80 (Figure S1). We observed once again that these flies behaved similarly to pdf and pdfr mutants, exhibiting the three hallmark phenotypes of reduced morning anticipation, phase-advanced evening activity, and reduced rhythmicity in constant darkness (Figure 1F–1J; Table 1), providing strong evidence for PKA function in non-PDF neurons in mediating PDF effects in circadian neurons. The addition of pdf-G80 did improve the rhythmicity (power-significance [P-S]) in constant darkness, suggesting that PKA activity in the PDF neurons contributes to a portion of this phenotype (Table 2, p<0.005). Nonetheless, the morning and evening phenotypes continue to map to non-PDF neurons.

Given that cwo-G4 also drives limited expression in some non-circadian areas we decided to examine PKA function using an independent circadian driver. Previous work from our laboratory demonstrated that morning and evening anticipation phenotypes of pdfr mutant behavior can be rescued by expressing U-pdfr in non-PDF neurons using cry13-G4 and pdf-G80 [35]. Here we expressed U-PKA-R1dn in PDF(−) circadian cells using this Gal4/Gal80 combination and found that inhibition of PKA activity also results in morning and evening anticipation similar to pdfr- (Figure 2A, 2B, 2D, 2E; Table 1). If PDFR and PKA are operating in the same pathway, we would expect that U-PKA-R1dn expression in a pdfrhan5304 (pdfr-) mutant background would exhibit phenotypes comparable to either PKA-R1dn or pdfr mutants alone. Indeed, we found no differences in morning or evening behaviors among pdfr-, PKA-R1dn expression, or PKA-R1dn expression in the pdfr- background using cry13-G4/pdf-G80 (Figure 2B, 2C; Table 1), suggesting that PDFR and PKA operate in a common pathway within these cells.


Figure 2. Non-PDF (E-cell) pacemaker neuron specific modulation of PKA activity can phenocopy or rescue pdfr- behaviors.

E-cells were targeted using cry13-G4 and pdf-G80. U-PKA-mC* is a constitutively active PKA catalytic subunit that lacks the ability to bind to regulatory subunits. Graphs are as in Figure 1. Genotype (N). (A) pdf-G80/+;cry13-G4/+ (15), (B) pdf-G80/+;cry13-G4/U-PKA-R1dn (10), (C) pdfr-;pdf-G80/+;cry13-G4/U-PKA-R1dn (26), (F) pdf-G80/U-PKA-mC*;cry13-G4/+ (15). (G) pdfr-;U-PKA-mC*/+ (22), (H) pdfr-;pdf-G80/U-PKA-mC*;cry13-G4/+ (48). (D,E,I,J) magnified overlays of morning (D,I) and evening (E,J) for the indicated color-coded genotypes as in Figure 1. *p<0.05 versus both G4 and UAS parental controls. a, p<0.05 versus UAS parental control, p = 0.056 versus G4 parental control. b, p<0.05 versus pdfr-;U-PKA-mC*/+, not significant versus pdf-G80/U-PKA-mC*;cry13-G4/+. Complete quantification appears in Table 1.


Expression of a Constitutively Active PKA Can Partially Rescue PDFR Mutant Phenotypes

Rescue or suppression of mutant receptor function by expression of activated downstream signaling components is a powerful in vivo method to elucidate signaling pathways [53]. We also attempted to suppress pdfr mutant phenotypes by expressing a PKA catalytic subunit (U-PKA-mC*), which is defective for regulatory subunit binding and is therefore constitutively active [52]. We expressed PKA-mC* in PDF(−) circadian neurons in pdfr mutants and observed that it rescued the reduced morning anticipation and phase-advanced evening activity onset characteristic of pdfr mutants (Figure 2; Table 1). There were no notable effects of PKA-mC* expression in a wild-type background in LD (Figure 2F–2J; Table 1). While PKA-mC* rescued LD phenotypes, we did not observe rescue of DD rhythms, suggesting that PKA-mC* is not expressed at the appropriate levels, cAMP inducibility may be required, and/or that non-PKA signaling pathways may contribute to PDFR function in DD (Table 2). We obtained similar results in the absence of pdf-G80, thus allowing PKA-mC* expression in the PDF neurons, suggesting that lack of PKA activity in PDF neurons is not responsible for the lack of DD rhythm rescue by PKA-mC* (Table 2). Taken together, our genetic evidence, especially our ability to bypass PDFR function with an activated form of PKA, indicate that PKA is a major mediator of PDFR signaling in non-PDF clock neurons. PKA activity is both necessary and sufficient for the execution of most PDFR-mediated behaviors.

Circadian PKA Function and Expression in DN1p Neurons

We have previously shown that we can rescue pdfr mutant morning anticipation and DD rhythmicity, but not evening anticipation, by expressing wild-type pdfr only in DN1p circadian neurons using the Clk4.1-G4 driver [41]. To test whether PKA also functions in the DN1p we expressed PKA-R1dn using Clk4.1-G4 and found modestly reduced morning anticipation and DD rhythmicity, but no change in evening anticipation, complementing our observations for pdfr rescue (Figure 3A–3D; Tables 1 and 2) [35],[41]. Given that cwo-G4/pdf-G80 driven PKA-RIdn exhibited more robust morning and DD phenotypes (Tables 1 and 2), we hypothesize that non-PDF, non-DN1p cells may also contribute to these phenotypes and/or this driver combination more strongly inhibits PKA within the DN1p than Clk4.1-G4. To address the neural substrates of PKA function in evening anticipation, we used the mai179-G4 driver in combination with pdf-G80, which drives expression in the single PDF(−) sLNv, and the CRY(+) subset of LNd with variable expression in a 1–2 DN1s [30],[54],[55]. Here we found that PKA inhibition phase advances evening anticipation similarly to pdfr mutants (Figure S2). In keeping with a model in which the CRY+ LNd and fifth PDF(−) sLNv selectively regulate evening anticipation, PKA-R1dn driven by mai179-G4/pdf-G80 had no effect on morning anticipation (Figure S2; Table 1) or DD rhythms (Table 2).


Figure 3. PKA function in DN1p neurons.

(A) Reduction of PKA activity in DN1p has no effect on the phase of evening activity, but reduces morning anticipation. Graphs are as in Figure 1. Genotype (N). (A) Clk4.1-G4/+ (19), (B) Clk4.1-G4/U-PKA-R1dn (14). (C and D) are overlays of morning and evening activity as in Figure 1. PKA subunits are transcriptionally regulated by the circadian clock in DN1ps. DN1ps were marked with Clk4.1-G4>U-GFP in wt (black) or per01 (blue) background, dissociated, sorted, and analyzed by quantitative RT-PCR for PKA subunit transcripts (see Materials and Methods). (E) PKA-C1, (F) PKA-R1, (G) PKA-R2. Error bars are SEM.


Rhythms in PDF levels are apparent in the terminals of LNv neurons and rhythmic PDF release is thought to contribute to the temporal encoding of the PDF signal; however, rhythmic PDF may not be necessary for rhythmic behavior or clock function [28],[40],[56]. We hypothesized that rhythmic control of signal processing within cells receiving the PDF signal may contribute to the robustness of this pathway. To determine whether PKA subunit transcripts are under circadian clock control in DN1p clock neurons, we expressed UAS-membrane GFP (U-mGFP) using Clk4.1-G4 and isolated these neurons by fluorescence-activated cell sorting (FACS). After RNA isolation and linear amplification (see Materials and Methods), we examined the transcript levels of the three catalytic PKA subunits (C1, C2, and C3) and two regulatory subunits (R1 and R2) by quantitative real-time (RT)-PCR. Transcript levels of three PKA subunits (PKA-C1, PKA-R1, and PKA-R2) oscillate in phase, with coincident peaks in the mid-day (ZT4) (Figure 3E–3G). Peak transcript levels were reduced and rhythms were not detected in the per01 mutants consistent with circadian clock control. The two other PKA transcripts (C2, C3) were near the limits of quantitative detection. Thus, not only is PKA activity likely controlled via rhythmic inputs of PDF-driven cAMP production but PKA is also rhythmically controlled at the level of gene expression. We hypothesize that these dual mechanisms collaborate to provide a robust time-of-day PKA signal to synchronize non-PDF to PDF oscillators.

PDF-Neurons Specifically Control TIM Protein Levels in Non-PDF Circadian Neurons

The ability of PDF neurons to reset molecular clocks in non-PDF neurons has been powerfully demonstrated by selective manipulation of circadian period in PDF neurons and examination of molecular oscillations in non-clock cells [39],[41],[55]. To determine the direct molecular targets of PDF neuron signaling, we rescued clock function selectively in PDF neurons of arrhythmic per01 mutants and assayed molecular oscillations in per-less non-PDF neurons. By examining molecular changes in per01 non-PDF neurons, we removed the possibility that identified changes would be indirect through a functioning circadian clock and/or per. In addition, we examined molecular changes on the first day of constant darkness, removing the possibility that light signaling via CRY is responsible for any changes. We rescued per in PDF cells (per01;pdf-G4/+;U-per16/+; “pdfPER” flies) and examined non-PDF-expressing circadian cells (LNd and DN1) in brains stained for the clock components TIM (Figure 4) and PDP1ε (Figure 5). First we demonstrated that transgenically supplied PER cycles in the sLNvs and rescues oscillations in TIM levels and nuclear localization in those cells (CT24), indicating at least a partially rescued sLNv clock consistent with prior studies (Figure 4A) [55].


Figure 4. PDF cell clocks specifically target TIM in LNds and DN1s in constant darkness.

Single confocal slices showing PDF, PER, and TIM staining. per01;;U-per/+ (control, black lines) and per01;pdf-G4/+;U-per/+ (pdfPER, blue lines). sLNvs are marked with anti-PDF. TIM and PER images are displayed in NIH ImageJ lookup table 5 Ramps (inverted) for visibility. PDF images used to identify sLNv are in gray scale. Cells (N): (A) sLNv (53–87), (B) LNd (74–122), (C) DN1 (57–208). Average cell intensities were normalized to PPP CT6 = 1 before combining measurements from three (TIM) experiments. In some cases error bars (SEM) are very small and obscured by the data point. In no case were error bars omitted. *p<0.05, **p<0.01, ***p<0.001.


Figure 5. The PDF-cell clock does not impact PDP1ε in non-PDF clock neurons.

Labels and nomenclature are the same as in Figure 4. PDP1ε images are displayed in NIH ImageJ lookup table 5 Ramps (inverted) for visibility. Cell group (N): (A) LNd (88–125), (B) DN1 (175–281). *p<0.05, **p<0.01, ***p<0.001.


We then examined the consequences of the rescued sLNv clock on non-PDF per01 DN1 and LNd neurons. Consistent with the fact that these cells lack per or a fully functioning circadian clock, TIM is predominantly expressed in the cytoplasm at all times of day (Figure 4) [13]. However we found stark changes in the levels and phase of TIM oscillation in DN1 neurons despite the lack of PER. In per01 controls, we observed a low amplitude TIM oscillation with an inappropriate day-time peak (Figure 4). In pdfPER rescue flies, TIM cycling amplitude increases with elevated peak levels and its oscillation phase is synchonized with that of TIM in the PDF neurons (Figure 4). TIM levels and phase in LNds are also modified by the PDF-neuron clock, but these effects are much smaller than those in the DN1s (Figure 4), consistent with our prior finding that the DN1 are more strongly reset by PDF neurons than the LNd [41]. To determine if these effects on TIM are specific, we also assayed a second clock component PDP1ε, a core circadian transcription factor directly activated by CLK/CYC [3]. We found that PDP1ε exhibits comparable levels between per01 and pdfPER rescue flies with only a modest change at ZT18 in the LNd (Figure 5). The absence of strong effects on PDP1ε suggests that PDF-mediated inputs to the molecular clock are unique to TIM. This result also argues strongly against large PDF effects on CLK/CYC driven transcription, a major determinant of PDP1ε levels [3]. The strength of the effects on TIM evident in the absence of a functioning clock, per and light, suggest that TIM is a direct target of PDF signaling.

Genetic Inhibition of PKA Reduces TIM Protein Levels in the Absence of PER in Non-PDF Neurons

Our results suggest PKA mediates PDF effects and that PDF targets TIM. To test whether PKA can influence TIM levels, we expressed PKA-R1dn in non-PDF circadian cells using cwo-G4 in combination with pdf-G80 in a per01 mutant background and examined TIM levels (Figure 6). Flies were entrained and dissected at four time points across the LD cycle, and stained for TIM. We observe reduced peak levels of TIM in both the LNd and DN1 at ZT24 with a non-significant trend developing by ZT12 during the light period. In these per01 flies, TIM remains in the cytoplasm throughout the 24-h cycle. These results indicate that PKA activity positively regulates TIM accumulation in the LNds and DN1s in the absence of a functioning clock suggesting a direct effect on TIM.


Figure 6. cwo-G4>U-PKA-R1dn expression reduces TIM levels in the absence of PER in LD.

PKA-R1dn was expressed broadly in the circadian system using cwo-G4 and restricted from PDF cells using pdf-G80. Data are displayed as in Figure 4. Cell group (N): (A) sLNv (36–90), (B) LNd (49–130), (C) DN1 (42–195). *p<0.05, **p<0.01, ***p<0.001.


Loss of PDF Reduces TIM Levels in Non-PDF Circadian Neurons

We have shown that the PDF-cell clock specifically regulates TIM in non-PDF circadian cells (Figures 4 and 5) and that reducing PKA activity in non-PDF cells leads to reduced TIM levels (Figure 6). Our behavior data show that PKA acts in the PDF signaling pathway downstream of PDFR (Figures 1 and 2). We therefore determined whether loss of PDF would mimic reduced PKA activity and result in reduced TIM. Here we examined loss of PDF (pdf01) in an arrhythmic per01 mutant background and examined the effects of the PDF peptide on TIM at the end of DD1 (CT24). We compared per01 and per01;;pdf01 flies and observed that TIM is strongly reduced in the absence of PDF in both LNd and DN1 neurons (Figure 7). We observe a nearly 50% reduction in TIM staining intensity in the absence of PDF, which is comparable to or even larger than the effect than we observed with PKA inhibition. One possibility is that expression of PKA-R1dn may not completely interrupt the signaling cascade, whereas pdf01 is a confirmed null mutation [37]. These results provide further independent support for the hypothesis that the PDF>PDFR>PKA signaling pathway influences the core molecular clock by promoting the accumulation or stability of TIM.


Figure 7. Loss of PDF reduces TIM levels in non-PDF circadian neurons.

TIM staining in the per01 mutant background was compared in the presence or absence of endogenous PDF. Brains were collected and fixed at CT24 of DD1. Images are displayed as in Figures 46. Bar graphs are normalized TIM staining intensity measurements combined from two independent experiments. Cell group (N): LNd (85–92), DN1 (112–135). ***p<0.001.


GFP Reconstitution across Synaptic Partners Defines the DN1p as Direct Targets of PDF+ LNv Neurons

Reduced morning anticipation in pdfr mutants coupled to an absence of significant core clock effects in LD suggested that PDF morning function is via effects on neuronal output [35]. We hypothesized that these effects may be mediated by direct effects on neuronal activity. Our previous work had identified the DN1p as functional targets of PDF on morning anticipation using rescue of pdfr mutants [41]. To determine if this reflects a direct interaction, we selectively labeled the DN1p using U-GFP in combination with Clk4.1-G4 and the LNv using anti-PDF and found that the arbors of each extensively co-mingle (Figure 8A). To test if DN1p neurons are direct targets of PDF neurons, we employed GFP reconstitution across synaptic partners (GRASP) [57]. Here we expressed one fragment of GFP (GFP11) on the extracellular surface of the LNv neurons using pdf-LexA and its complementary fragment (GFP1-10) on the extracellular surface of the DN1p neurons using Clk4.1-G4. We observe robust fluorescence in the dorsal terminals consistent with extensive physical contacts (Figures 8B, 8C, and S4). Co-labeling of sLNv-DN1p GRASP with PDF finds that PDF signal is in close proximity to GRASP signals suggesting that sites of physical contact are potential release sites for PDF (Figure 8B and 8C).


Figure 8. PDF(+) sLNv make direct synaptic connections with DN1p neurons.

(A) PDF-labeled sLNv terminals in the dorsal brain (red) are tightly intermingled with DN1p neurites marked by membrane-GFP expression using the Clk4.1-G4 driver. (B) GRASP labeling (green) demonstrates direct cell-cell contact between the DN1p and anti-PDF labeled sLNv (red). (B) Reconstituted GFP label (green) is observed only at putative points of contact between the two cell groups. (C) Higher magnification of the region outlined in (B) reveals close apposition of the two labels (white arrowheads) but little overlap, delineating the synaptic architecture.


PDF Acutely Excites Non-PDF DN1p Neurons

To examine PDF signaling mechanisms that control neuronal output, we first performed live imaging on the DN1p neurons on explanted brains. Using the Clk4.1-G4 driver in combination with the FRET sensor U-Epac1(50A) [58], we measured the variation of [cAMP] following focal PDF application specifically in the DN1p neurons. Prior studies had used bath application of PDF to examine changes in cAMP and thus, the observed effects could be due to indirect activation [47]. Following focal PDF application to the DN1p neurons (Figure S3A), we observed a decrease in the ratio YFP/CFP indicating an increase of [cAMP] (Figure S3B–S3D). Thus, as suggested by prior studies [47], we confirm that PDF increases cAMP levels in the DN1p.

To resolve whether PDF acutely controls DN1p neuronal activity, we developed patch clamp electrophysiology of the DN1p subset of pacemaker neurons and assayed the response of these cells to focal PDF application. We performed cell-attached recordings in combination with live calcium imaging on the DN1ps by simultaneously recording firing frequency and [Ca2+]i using Clk4.1-G4 driving expression of the GCaMP6f calcium indicator [59]. Focal PDF application acutely stimulates the DN1ps by increasing the instant firing frequency of the neurons (Figure 9A and B). This increase in neuronal activity is directly correlated with an increase in [Ca2+]i as measured by the GCaMP6f calcium indicator (Figure 9C).


Figure 9. PDF induces an increase in [Ca2+]i in the DN1p neurons.

Representative current clamp recordings obtained in cell-attached mode showing on the same cell (A) depolarization, (B) increase in instant firing frequency, and (C) increase in [Ca2+]i in U-GcaMP6f/+;Clk4.1-G4/+ male flies (n = 3).


Using whole-cell current clamp recordings, we found that PDF both acutely depolarizes and increases action potential firing rates (Figure 10A). This excitatory effect of PDF is dependent on its receptor as we could not detect any effect of PDF on the membrane potential or firing frequency in cells lacking PDFR (Figure 10A). The PDF-evoked depolarization was present after blocking action potential firing, and thus most synaptic transmission, with the voltage gated sodium channel blocker TTX indicating that PDF acts on the DN1ps directly (Figure 10B). Surprisingly the PKA inhibitor H89 did not block these effects indicating that PDF activates a PKA-independent pathway to acutely activate neurons (Figure 10C). To independently confirm the dispensability of PKA signaling we recorded from DN1p neurons expressing the dominant-negative PKA-R1 (Figure 10D and 10E). PDF application still depolarizes and increases in firing frequency further supporting the hypothesis that PDF acts independently of PKA activation to regulate membrane excitability.


Figure 10. PDF induces depolarization and increase in firing frequency in DN1p neurons.

(A) Representative current clamp recordings obtained from UAS-CD8 GFP;Clk4.1M-Gal4 male flies showing the depolarization and increase in firing frequency in control or in PDFR mutant (WT in black, PDFR in red, n = 3). (B) Representative recordings showing the membrane potential in the presence of TTX in control (black, Δ = 9.2±0.6 mV, n = 3) or with a PKA inhibitor (H89- blue, Δ = 7.8±0.5 mV, n = 3). Mean ± SEM are shown in the histogram (C). (D) Representative recordings showing the PDF induced depolarization control (black, [Δ = 11±1.6 mV, and Δ = 3.4±0.46 Hz n = 5]) or in PKA-R1dn (blue, [Δ = 10.7±1.73 mV, and Δ = 4.7±0.64 Hz n = 4]). Mean ± SEM are shown in the histogram (E).


We next examined the potential role of cAMP as the intracellular component mediating the acute PDF effect on membrane activity. First, we demonstrated that the adenylate cyclase inhibitor MANT-GTPγS blocks the PDF induced excitation (Figure 11A–11C). Conversely, forskolin (an adenylate cyclase activator) and direct dialysis of cAMP into the cell induces a depolarization similar to the PDF evoked response (Figure 11D and 11E). Finally, the cAMP induced depolarization and activation was present in the neurons expressing PKA-R1dn (Figure 11E). Taken together these data indicate that cAMP, rather than other upstream signaling components is responsible for the PDF effects on excitability.


Figure 11. PDF-induced depolarization and increase in firing frequency are dependent on adenylate cyclase.

(A) Representative current clamp recordings obtained from the same cell in cell attached configuration first (black trace, before AC inhibitor) and then in whole cell configuration (red trace, after 10 minute dialysis of MANT-GTPγS into the cell). Mean ± SEM are shown in the histogram for changes in the membrane potential (B) and firing frequency (C) (respectively Δ = 11±1.6 mV, and Δ = 3.4±0.46 Hz n = 5 in control and Δ = 3.56±2.46 mV, and Δ = 0.26±0.26 Hz n = 5 after AC inhibition). Representative current clamp recordings showing the effects of AC activation by application of forskolin 20 µM for 10 s (Δ = 4±0.91 mV, and Δ = 2.28±0.61 Hz n = 5) (D) or the effects of cAMP dialysis into the cell in control (black trace, n = 3, Δ = 9.6±2.02 mV, and Δ = 5±1.19 Hz) or in PKA-R1dn neurons (blue trace, n = 2, Δ = 8.4±2.21 mV, and Δ = 4.6±1.22 Hz) (E). Changes in membrane potential and firing frequency were measured by comparing the first and last 10 s from the 1 minute recording.


In voltage clamp mode, PDF application acutely induces an inward current at negative potentials and a positive shift in the reversal potential (Figure 12A–12C). This inward current is TTX-insensitive (Figure 12C) and is attenuated after reduction of extracellular sodium (Figure 12F). Furthermore, focal application of the adenylate cyclase activator forskolin or direct intracellular dialysis of cAMP induce an inward current like PDF (Figure 12D and 12E). The properties of the observed current—neuropeptide induction, TTX resistance as well as PKA independence—are consistent with a cyclic-nucleotide-gated channel (CNG) [60]. Thus, using this novel patch clamp analysis and focal application of PDF, we demonstrate that PDF acts as an excitatory neurotransmitter that acutely increases firing rate and calcium, likely in a PKA-independent manner. The rapidity of PDF effects on excitablility argues strongly that they are direct and not via clock resetting.


Figure 12. PDF activates a TTX resistant cationic inward current in Drosophila DN1p neurons.

(A) Representative voltage clamp recording at ZT6. Changes in ionic currents were measured from a ramp protocol form −100 mV to +100 mV in 300 ms. Black and blue traces represent currents recorded respectively before and after focal application of PDF 50 µM. (B) Crop from (A) showing inward currents from −100 mV to −60 mV. (C) Time course of PDF induced inward rectifying current measured at −100 mV without (black trace) or with TTX 10 µM (blue trace). Time course of FSK (D) or cAMP (E) induced inward rectifying current measured at −100 mV (for (E) black trace is without cAMP dialysis in the pipette, and red trace is when cAMP was added into the intracellular solution). (F) Histograms showing reduced inward current when Na+ was replaced from the extracellular solution with NMDG and comparable inward currents in control (CT), forskolin (FSK), or cAMP induced inward currents (respectively, 2.75±0.56 pA. pF−1, n = 5 in control, 1.39±0.21 pA.pF−1, n = 3 in low sodium, 2.27±0.44 pA.pF−1, n = 3 with FSK and 3±0.83 pA.pF−1, n = 2 in control).



Intercellular communication has emerged as a critical element in circadian pacemaker function in multicellular animals. PDF acts as a master neural network regulator coordinating molecular oscillations between disparate circadian pacemaker neurons in Drosophila. Yet how PDF signaling resets circadian clocks as well as acutely regulates neural activity has not been clearly defined. Here we provide evidence that the PDF signaling pathway works through two mechanisms to regulate circadian behavior; a clock resetting pathway that targets the core clock protein TIMELESS (TIM) via PKA to maintain synchronous molecular oscillations throughout the pacemaker network, and a neural activity pathway that acutely increases the firing rate of pacemaker neurons independent of PKA (Figure 13).


Figure 13. Model for a bifurcation in the PDFR signaling pathway controlling the molecular clock and neuronal excitability.

PDFR acts through Gs and adenylate cyclase (AC) to increase levels of cAMP which may directly activate a cyclic-nucleotide-gated (CNG) channel (green pathway) to acutely depolarize the cell and increase the action potential firing rate. cAMP also activates PKA, promoting TIM stability and progression of the molecular clock (blue pathway). Light activates CRY, which promotes TIM degradation. The molecular clock also controls PKA transcripts, thereby controlling signal transduction to the clock through a feedback mechanism.


Here we provide in vivo genetic evidence for a role for PKA in mediating PDF neuropeptide effects on behavior, including demonstration of clock control of PKA subunits in PDF target neurons. While prior work had demonstrated a role for PKA in circadian behavior, these studies observed effects under conditions of PKA overexpression in mutant conditions [61], failed to link PKA to PDF receptor signaling [49],[61][64], or impaired cAMP or PKA throughout the fly [49],[63] or the circadian network [62],[65]. We show that inhibition of PKA in a subset of non-PDF neurons can mimic the advanced circadian activity in the evening observed in PDF or PDF receptor mutants. Moreover, expression of an activated form of PKA can rescue most pdfr mutant phenotypes, providing powerful genetic evidence that PKA is mediating PDFR signaling in non-PDF circadian pacemaker neurons (Figure 13).

Using refined cell-specific manipulations, we dissected the functional neuroanatomy of PKA function. These studies demonstrated DN1p PKA contributes to morning anticipation and DD rhythms and PDF(−) sLNv and CRY+ LNd functions in evening anticipation, similar to the division of labor we previously observed for pdfr rescue [35],[41]. Nonetheless, the finding of modest effects of DN1p PKA on morning anticipation in the face of a prominent role for non-PDF cells (Table 1) suggest that other non-PDF cells make a contribution and/or that the DN1p function is via PDF effects on neuronal excitability upstream of PKA. While a previous study linked a PDF-coupled adenylate cyclase (AC3) function in the PDF neurons to morning anticipation in sLNv, it is not known if this adenylate cyclase may also couple to other receptors that may mediate these effects, for example, by regulating PDF release rather than PDF receptor signaling [31]. We did observe that PDF neurons also contribute to DD rhythmicity effects of PKA (Table 2), consistent with the more distributed function of PDFR in DD rhythmicity. Taken together, these data provide a circuit map for PKA function in mediating PDF effects in the central pacemaker network.

A central feature of core circadian clock components is their time-of-day dependent expression, providing the mechanistic basis of biological timekeeping. To address whether the clock actively controls PKA expression or activity, we assessed transcript levels using FACS isolation of the DN1p. Here we show that both regulatory subunits (R1 and R2) and one of the three catalytic subunits (C1) of PKA show robust rhythms with a peak during the mid-day. Coordinate oscillations of both regulatory and catalytic subunits of PKA should result in daily increases in the sensitivity to PDFR activation. Rhythmic PKA expression also provides a mechanistic basis for rhythmic behavior under conditions when PDF oscillations are not apparent [29],[56]. PKA rhythms are abolished in mutants of the classical core clock component per01, indicating these oscillations are clock controlled. Given that these PKA transcripts peak in the mid day (ZT4; Figure 3E–3G) at a time when CLK activity is low [66] and that peak PKA transcript levels are reduced in the per01 mutant suggest that it is not directly CLK-activated. Interestingly, expression of a bacterial sodium channel in the larval sLNv can induce PKA-C1 transcript expression [62], suggesting that clock-driven changes in neuronal activity may mediate PKA transcript rhythms. While the peak of PKA subunit transcription in the DN1p in the mid day is not coincident with the requirement of PDFR signaling for morning anticipatory behavior, the rate of accumulation and half-life of PKA protein in these cells is not known. Regardless, these results indicate that pacemaker neurons rhythmically control their sensitivity to PDF inputs, suggesting that rhythmic PDF-driven cAMP production and rhythmic PKA transcription collaborate to provide a robust time-of-day specific signal to synchronize non-PDF to PDF oscillators (Figure 13).

In addition to demonstrating a key role for PKA in PDFR signaling, we also reveal important in vivo evidence that PDF neuronal signaling selectively targets the circadian clock component TIM in non-PDF neurons, providing a molecular basis for network influence on core molecular clocks (Figure 13). To address the core clock target of PDF signaling, we set up a complex genetic scenario in which we used the arrhythmic per01 mutant as a background and rescued per (and thus, clock function) only in PDF neurons. We then asked how rescued clock function in PDF neurons impacts molecular clock components in per01 non-PDF clock neurons. We found that these rhythmic PDF neurons are able to drive high amplitude and appropriately phased DN1 molecular oscillations in the core clock component TIM but not in another clock component PDP1ε, suggesting that TIM is the specific target of PDF signaling in the molecular clockwork. We observe reduced effects on TIM in the LNd, perhaps due to the fact that the rescue of per01 in PDF neurons is not complete (Figure 4) [55]. Moreover, it is unlikely that PDF is inducing an intact clock in per01 non-PDF neurons. In addition to the weak or absent PDP1ε oscillations, clock-driven oscillations in TIM nuclear localization are not observed with TIM remaining cytoplasmic, consistent with studies indicating that PER is required for TIM nuclear localization [10],[13]. Loss of PDF in a per01 background results in reduced TIM levels in both the LNd and DN1 (Figure 7). These robust TIM effects in the LNd may reflect a more extreme perturbation of PDF signaling in the null mutant and/or the potential of non-PDF transmitters to influence LNd TIM levels in the PDF cell rescue. Nonetheless, our data support the view that PDF signaling is specifically regulating TIM rather than reconstituting a clock in per01 target neurons.

Our work suggests that PKA is an important intermediary between PDF and TIM (Figure 13). Inhibition of PKA in non-PDF neurons in per01 mutants reduces TIM levels in LNds and DN1s (Figure 6), consistent with a role for PKA in promoting TIM accumulation or stability. The more strongly evident effects of PKA on TIM than in the PDF cell rescue context may reflect the incomplete PDF cell rescue, more robust PKA manipulation with dominant negative expression, and/or PDF or PKA-independent effects of PDF cells on LNd TIM levels. PKA effects on TIM in the absence of per or a fully functioning clock suggest that these effects are direct. PKA has also been implicated in activating CLK driven transcription. However, these effects are modest and observed under conditions of PKA overexpression in cultured S2 cells [67]. Moreover, PKA does not phosphorylate CLK in vitro [67]. Our finding that PDP1ε in non-PDF cells is not strongly affected by rescue of the molecular clock in PDF neurons further supports the hypothesis that CLK activity is not an in vivo target of PDF/PKA. TIM contains numerous consensus PKA phosphorylation sites and is robustly phosphorylated by PKA in vitro [68]. Our findings that reduction of PKA function reduces TIM levels suggests a positive role for PKA in TIM accumulation or stability. Our finding that TIM levels in LNd and DN1 neurons are reduced in the absence of PDF peptide provides strong independent verification for the PDF>PDFR>PKA pathway in targeting TIM to influence the core molecular clock. Notably, we did not observe any effects on TIM in DD as assayed by Western blot after PKA inhibition in the eye (unpublished data), suggesting PKA pathway function in the core clock may be restricted to the pacemaker neurons. Comparable changes in TIM due to light pulses are associated with significant phase shifts [69] that are comparable to, or even exceed, those evening phase effects observed in pdf mutants or with PKA-R1dn expression, suggesting that these TIM effects are biologically meaningful.

The finding that TIM responds to PDF and PKA could explain observed interactions between PDF and CRY signaling. Altering the pace of PDF-cell clocks can reset non-PDF clocks. However under standard LD conditions, PDF-cell clocks are only able to reset evening phase after mutation of the CRY photoreceptor, indicating that CRY antagonizes PDFR signaling [70]. Our identification of TIM as a common target of CRY and PDFR signaling provides a plausible mechanism for these phenotypes: CRY-mediated degradation of TIM may render pacemaker neurons insensitive to PDF receptor inputs thus explaining the CRY-dependence of PDF effects on evening phase.

Thus, TIM is a multimodal integrator of core clock, environmental, and network pathways of entraining and maintaining clocks in the pacemaker network: (1) tim is transcribed by the CLK/CYC heterodimer and is thus regulated directly by the core feedback loop; (2) TIM protein levels are controlled by environmental light via CRY-mediated degradation; and (3) we demonstrate that TIM responds to network signals via PDF signaling, likely directly mediated post-transcriptionally by PKA.

In addition to elucidating signaling mechanisms that link PDF to core clocks, we also defined mechanisms by which PDF acutely regulates neuronal activity. While our work suggests that PDF acts via changes in protein abundance to reset clocks, our previous work suggested that PDF also has effects on pacemaker neuron output, specifically morning behavior, that are independent of resetting clocks [35]. In fact, PDF injection in cockroaches acutely regulates neuronal activity [45]. However, the precise nature and mechanism by which PDF achieves these effects are not clear. Here we have developed patch clamp electrophysiology of the DN1p subset of neurons and assayed the response of these cells to focal PDF application. We focally applied PDF to these neurons and found that PDF both acutely depolarizes and increases action potential firing rates in a PDFR dependent manner, indicating that PDF is acutely excitatory and providing a mechanistic basis for effects on pacemaker neuron output (Figure 9A). Consistent with our data in the DN1p, membrane-tethered PDF peptide expressed in the PDF+ LNv depolarizes the sLNv [29]. Surprisingly PKA inhibiton (by H89 or the expression of a dominant negative PKA) did not block these effects, while adenylate cyclase inhibition did block them, indicating that PDF activates a cAMP-dependent, PKA-independent pathway to acutely activate neurons (Figures 10B–10E and 11A–11E). We note that genetic inhibition of PKA in the DN1ps only modestly reduces morning anticipation, suggesting a potential role for this PKA-independent pathway in morning behavior (Figure 3B and 3C). Given the properties of the PDF-induced current we hypothesize that PDF-driven cAMP activates a cyclic nucleotide gated channel to acutely depolarize and activate target neurons (Figure 13). Our model is consistent with the role of G-alpha-s and cAMP in mediating PDF effects in the sLNv on morning and evening activity allocation [29]. However, the role of PKA was not examined this study.

While we cannot exclude the possibility of direct or indirect cross talk between pathways, these data reveal a bifurcation of the PDF receptor signaling pathway: a PKA-dependent fork contributes to synchronization of the molecular clocks via regulation of TIM and a PKA-independent fork acutely induces neuronal activity (Figure 13), thus providing mechanistic bases for the dual functions of PDF in the Drosophila circadian pacemaker network.

Materials and Methods

Fly Strains

Fly lines carrying U-PKA-mC* and U-PKA-R1dn (also known as BDK33) were a generous gift from Daniel Kalderon [52]. UAS-CD4::spGFP1-10 and LexAop-CD4:spGFP11 flies were the gift of Kristen Scott [71]. The latter transgene was recombined with pdf-LexA (a gift of Michael Rosbash [72]). Lines carrying combinations of these and other transgenes or mutants were constructed using standard genetic crosses. Tim was genotyped for the s/ls alternative start site polymorphism using previously described primers (Peschel 2004). TIM staining in the per01;pdf-G4;U-per16 rescue context was completed three times: in two trials the tim genotypes were s/ls, and in one trial the control was ls/ls, while the pdfPER flies were s/ls. The staining results were comparable between these conditions and were combined. Strains for TIM staining with PKA-R1dn expression (Figure 6) were s/ls.

Behavior Analysis

Fly behavior was recorded using the Drosophila Activity Monitoring system (Trikinetics) and analyzed using ClockLab and the Counting Macro as described [73]. Briefly, male flies were fed on 5% sucrose-agar medium in 5LD7DD conditions at 25C. LD eductions were obtained using averaged data in 30-minute bins across days 2–5 of the behavior run. DD period and rhythmicity data were calculated in ClockLab with period measurements taken only from flies in which the Power-Significance (P-S) ≥10.

Morning anticipation was calculated using a variant of the method described in [32]. Activity from each of four days of LD behavior recorded for each individual fly were analyzed such that the morning index (MI) = ((total activity 3 h prior to lights-on)/(total activity 6 h prior to lights-on)) − (0.5). 0.5 was subtracted so flat activity over the six hours analyzed is equal to 0. In cases where no activity counts occurred in the 6 hours before lights-on, resulting in an undefined 0/0, the ratio was set to 0.5, indicating no change in activity over that time period.

The timing of evening activity onset was calculated as previously described [35] with the onset time defined as the first time point in the four 30-min bin sliding window with the largest increase in activity prior to lights-off.

Genotypes were compared by Student's two-tailed t-test.

Whole-Mount Brain Staining

Flies to be stained were entrained for five to seven 12-h light, 12-h dark (LD) cycles at 25°C and either dissected and fixed at the indicated timepoint for LD staining (Figure 6) or transferred to constant darkness and dissected and fixed for DD1 staining (Figures 4 and 5). Brains were dissected in PBS (pH 7.5) and fixed in 3.7% formaldehyde in PBS for 1 h shaking at room temperature. Brains were then washed 3× in PBS and primary antibody solution was added. Guinea pig anti-TIM (1:2,000), rabbit anti-PER (1:16,000), and mouse anti-PDF (1:500) (Developmental Studies Hybridoma Bank) were incubated overnight shaking at 4°C in a solution of PBS, 10% goat normal serum (GNS), and 0.3% Triton X-100. For stains involving rabbit anti-PDP (1:200) brains were dissected and fixed as above, except after fixation and 3× washes with PBS, brains were subject to a 1-h permeablization in PBS +1% Triton X-100 and primary antibody solution was incubated for 3 days in PBS with 0.3% Triton X-100 and 10% GNS. After the primary incubation, for all stains, brains were washed 3× in PBS +0.3% Triton X-100 and secondary antibodies (for PDF, PER, TIM staining: anti-mouse Alexa647, anti-guinea-pig Alexa 488, anti-rabbit Alexa 594; for PDF, PDP1ε staining: anti-mouse Alexa 594, anti-rabbit Alexa 488) (all dyes from Molecular Probes - Invitrogen) were each added at 1:500.

Quantitative Image Capture and Analysis

Brain images were taken on a Nikon E800 laser-scanning confocal microscope using a 60× A 1.40 N.A. objective with laser, filter, and gain settings remaining constant within each experiment. Channels were scanned sequentially. Confocal Z-stacks were analyzed in NIH ImageJ software. Intensity measurements were taken from single confocal sections at approximately the middle of each cell. Nearby areas of similar area to the cells being measured were selected for each cell group in each hemisphere as a measurement of background staining. The background measurement for each cell group in each hemisphere was subtracted from the intensity measurement for each cell in that group. Background-subtracted values were then averaged across all brains in that experiment. Image measurements were normalized prior to combining data from independent experiments. For Figures 4 and 5, each experiment was individually normalized such that pdfPER Rescue at CT6 = 1. For Figure 6, data were normalized to Control at ZT6 = 1. For Figure 7, data were normalized to per01 at CT24 = 1. Data from independent experiments were combined post-normalization to obtain the final graphs. Images from Figures 4, 5, and 6 are displayed using the inverted 5 Ramps lookup table within ImageJ for ease of viewing images with low signal. Staining data were statistically analyzed by one-way ANOVA and Tukey's pairwise comparisons.

GRASP signal and mouse anti-PDF stained brains were fixed, mounted, and imaged as above, except using anti-mouse Alexa 594 to label PDF. Both 40× and 60× objective images were collected in 1 micron steps through the region containing staining, or through the entire dorsal brain for non-labeled parental control lines.

Fluorescence-Activated Cell Sorting of DN1p Neurons

Cells were processed as described previously [74]. Before FACS cell sorting cells were filtered using 100 micron filter. Propidium iodide (Sigma, 130 ng/ul) was added to distinguish between dead and alive cells. Cells were sorted on Aria II FACS Cell Sorter (BD Biosciences) into an extraction buffer from the PicoPure RNA extraction kit (Arcturus). Transcripts were obtained from 40 to 45 brains (yielding 300–500 DN1p neurons) per time-point. Subsequently, the cells were lysed and stored at −80°C until RNA extraction as described previously [74].

Transcript Analysis by Quantitative RT-PCR

Cells were processed as described previously [75]. cDNA from two independent replicates per genotype were analyzed per time-point on a BioRad CFX384 real-time PCR system. mRNA was quantified as described previously [74]. One-way ANOVA was used to determine statistically significant differences between time-points within each genotype (p<0.05). The following primers were used to examine pka expression: pka-R1, F primer, 5′-ACTTTGGCGAGATTGCTCTG-3′; R primer, 5′-CGGACAACGATACGAAACTG-3′; pka-R2, F primer, 5′-CTACGAACGCATGAATCTGG-3′; R primer, 5′-GCCGAAGTACTGTCCCTTGC-3′; pka-C1, F primer, 5′-ATCGCTGGCATCGTAGTCG-3′; R primer, 5′-AAGGCGCTTGGTTAAGACG-3′.

Electrophysiological Recordings from DN1p Neurons

Brains from male adults Drosophila (7–14 days old) were removed from their heads in ice-cold recording solution. After removing the connective tissue, air sacs, and trachea with fine forceps, the brains were transferred to a recording chamber and were held ventral side down by a harp slice grid (ALA scientific). No enzymatic treatment was used to avoid altering ion channels function on the cell surface. Brains were allowed to rest in continuously flowing oxygenated saline (95% oxygen and 5% carbon dioxide) for at least 10 min and no more than 2 h before recording. Perfusion with oxygenated saline was continued throughout the recording period. Whole brain electrophysiology and imaging experiments were performed on an Ultima two-photon laser scanning microscope (Prairie Technologies) equipped with galvanometers driving a Coherent Chameleon laser. Fluorescence was detected with photomultiplier tube. Images were acquired with an upright Zeiss Axiovert microscope with a 40×0.9 numerical aperture water immersion objective at 512×512 pixel resolution and 1-µm steps. Current-clamp recordings were performed with pipettes (10–14 MΩ) filled with internal solution. To visualize the recorded cell, Alexa Fluor 594 biocytin (10 µM) was added into the intracellular solution. Recordings were made using Axopatch 200B patch-clamp amplifier, Digidata 1320 A, and pCLAMP software (Axon Instruments). The extracellular recording solution contains in mM: 101 NaCl, 1 CaCl2, 4 MgCl2, 3 KCl, 5 glucose, 1.25 NaH2PO4, and 20.7 NaHCO3 (pH 7.2, 250 mOsm). The internal solution contains in mM: 102 K-gluconate, 0.085 CaCl2 1.7, MgCl2, 17 NaCl, 0.94 EGTA, 8.5 HEPES, 4 Mg-ATP, 0.3 Tris-GTP, and 14 phosphocreatine (di-tris salt) (pH 7.2, 235 Osm). For simultaneous cell attached and live calcium-imaging recordings, the Drosophila DN1ps neurons were visualized with GCaMP6f indicator [59]. The x-y images of GCaMP6f fluorescence were acquired at 10–20 Hz. GCaMP6f fluorescence was excited at 840 nm and was captured at wavelengths between 490 and 540 nM using a bandpass filter.

Live cAMP Imaging from Drosophila DN1p Neurons

Changes in intracellular cAMP concentration were imaged using the Epac1-cAMPs indicator. Whole brain imaging experiments were performed using hemolymph-like HL3 saline [76] (in mM: NaCl 70, KCl 5, CaCl2 1.5, MgCl2 20, NaHCO3 10, D-trehalose dihydrate 5, sucrose 115, Hepes 5, pH adjusted at 7.1 with NaOH 1 M). After dissection, whole brains were placed with HL3 solution in the experimental chamber (POC-R perfusion chamber, Zeiss) and placed on the stage of an Axiovert 200 M inverted microscope attached to a Zeiss 510 Meta/ConfoCor3 Laser Scanning unit (Zeiss) available through the Northwestern University Biological Imaging Facility. The x-y confocal images of Epac1-camps fluorescence were acquired at 2–4 Hz using a Zeiss planApochromat 20×0.8 N.A. objective. Epac1-camps fluorescence were excited at 454 nm by a 200 mW argon ion laser and were captured at wavelengths between 470 and 500 nM for CFP and between 510 and 550 nM for YFP using a bandpass filter. The pinhole was set to provide a confocal optical slice of 10 µm. Epac1-camps fluorescence intensity was normalized to the average fluorescence intensity in the images captured before neurotransmitter application and the ratio YFP/CFP was calculated.


PDF (50 µM, dissolved in recording solution, GenScript) or forskolin (Sigma) was applied focally for 10 s to the recorded cells via pressure ejection (0.5–1 psi) from a glass pipette (5–10 µM) placed in the vicinity of the cell. TTX (Tocris) and/or H89 (Sigma) were bath applied by exchanging the recording solution. cAMP (10 µM, Sigma) and MANT-GTPγS (500 nM, Sigma) were diluted into the intracellular solution.

Supporting Information

Figure S1.

Expression pattern of pdf-G80/+;cwo-G4/+. (A and B) Maximum projections of confocal sections taken in representative adult pdf-G80/+;cwo-G4/U-nGFP (green) brains labeled with anti-PER antibody (red). Sections contain either the LNs (A) or the DNs (B). LN and DN subgroups are indicated by lines.



Figure S2.

PKA-R1dn expression in CRY+ LNd and 5th sLNv phase-advances evening activity onset with no effect on morning behavior. Graphs, quantification, and overlays are as in Figure 1. Genotype (N). (A) mai179-G4/+;pdf-G80/+ (31), (B) mai179-G4/+;pdf-G80/U-PKA-R1dn (26). *p<0.05 versus both parental controls.



Figure S3.

Epac FRET response to PDF in DN1p neurons. (A) Representative images showing whole brain imaging using UAS-EPAC;Clk4.1M-Gal4 male flies. Changes in YFP and CFP fluorescence were measured in the region of interest delineated by the blue, red, and green lines. (B) Representative images (5-s interval between images) showing the change in the ratio YFP/CFP after PDF is applied (+0 s). Time course of the ratio YFP/CFP is shown in (C) for the three region of interest delineated in (A). (D) Average ratio YFP/CFP with SEM in black, YFP in yellow, and CFP in blue. (Δratio = 0.13±0.05, n = 19 cells from four brains).



Figure S4.

GRASP labeling is absent in parental strains. (A) When both fragments of GFP are expressed, one using GAL4-UAS and the other with LexA-LexOp, GFP expression is detected at points of contact between cells expressing the two constructs. (B) Parental lines expressing only one fragment of the GFP lack expression in the same region.



Author Contributions

The author(s) have made the following declarations about their contributions: Conceived and designed the experiments: AS MF EKE LZ VK RA. Performed the experiments: AS MF EKE LZ VK. Analyzed the data: AS MF EKE LZ VK RA. Contributed reagents/materials/analysis tools: AS MF EKE LZ VK. Wrote the paper: AS MF RA.


  1. 1. Hardin PE (2011) Molecular genetic analysis of circadian timekeeping in Drosophila. Adv Genet 74: 141–173. doi: 10.1016/b978-0-12-387690-4.00005-2
  2. 2. Zheng X, Koh K, Sowcik M, Smith CJ, Chen D, et al. (2009) An isoform-specific mutant reveals a role of PDP1epsilon in the circadian oscillator. J Neurosci 29: 10920–10927. doi: 10.1523/jneurosci.2133-09.2009
  3. 3. Cyran SA, Buchsbaum AM, Reddy KL, Lin MC, Glossop NR, et al. (2003) vrille, Pdp1, and dClock form a second feedback loop in the Drosophila circadian clock. Cell 112: 329–341. doi: 10.1016/s0092-8674(03)00074-6
  4. 4. Kadener S, Stoleru D, McDonald M, Nawathean P, Rosbash M (2007) Clockwork Orange is a transcriptional repressor and a new Drosophila circadian pacemaker component. Genes Dev 21: 1675–1686. doi: 10.1101/gad.1552607
  5. 5. Lim C, Chung BY, Pitman JL, McGill JJ, Pradhan S, et al. (2007) Clockwork orange encodes a transcriptional repressor important for circadian-clock amplitude in Drosophila. Curr Biol 17: 1082–1089. doi: 10.1016/j.cub.2007.05.039
  6. 6. Matsumoto A, Ukai-Tadenuma M, Yamada RG, Houl J, Uno KD, et al. (2007) A functional genomics strategy reveals clockwork orange as a transcriptional regulator in the Drosophila circadian clock. Genes Dev 21: 1687–1700. doi: 10.1101/gad.1552207
  7. 7. Richier B, Michard-Vanhee C, Lamouroux A, Papin C, Rouyer F (2008) The clockwork orange Drosophila protein functions as both an activator and a repressor of clock gene expression. J Biol Rhythms 23: 103–116. doi: 10.1177/0748730407313817
  8. 8. Chang DC, Reppert SM (2003) A novel C-terminal domain of Drosophila PERIOD inhibits dCLOCK:CYCLE-mediated transcription. Curr Biol 13: 758–762. doi: 10.1016/s0960-9822(03)00286-0
  9. 9. Nawathean P, Stoleru D, Rosbash M (2007) A small conserved domain of Drosophila PERIOD is important for circadian phosphorylation, nuclear localization and transcriptional repressor activity. Mol Cell Biol 27: 5002–5013. doi: 10.1128/mcb.02338-06
  10. 10. Ashmore LJ, Sathyanarayanan S, Silvestre DW, Emerson MM, Schotland P, et al. (2003) Novel insights into the regulation of the timeless protein. J Neurosci 23: 7810–7819.
  11. 11. Darlington TK, Wager-Smith K, Ceriani MF, Staknis D, Gekakis N, et al. (1998) Closing the circadian loop: CLOCK-induced transcription of its own inhibitors per and tim. Science 280: 1599–1603. doi: 10.1126/science.280.5369.1599
  12. 12. Meyer P, Saez L, Young MW (2006) PER-TIM interactions in living Drosophila cells: an interval timer for the circadian clock. Science 311: 226–229. doi: 10.1126/science.1118126
  13. 13. Myers MP, Wagner-Smith K, Rothenfluh-Hilfiker A, Young MW (1996) Light-induced degradation of TIMELESS and entrainment of the Drosophila circadian clock. Science 271: 1736–1740. doi: 10.1126/science.271.5256.1736
  14. 14. Saez L, Young MW (1996) Regulation of nuclear entry of the Drosophila clock proteins period and timeless. Neuron 17: 979–990. doi: 10.1016/s0896-6273(00)80222-6
  15. 15. Ceriani MF, Darlington TK, Staknis D, Mas P, Petti AA, et al. (1999) Light-dependent sequestration of TIMELESS by CRYPTOCHROME. Science 285: 553–556. doi: 10.1126/science.285.5427.553
  16. 16. Emery P, Stanewsky R, Helfrich-Forster C, Emery-Le M, Hall JC, et al. (2000) Drosophila CRY is a deep brain circadian photoreceptor. Neuron 26: 493–504. doi: 10.1016/s0896-6273(00)81181-2
  17. 17. Lin FJ, Song W, Meyer-Bernstein E, Naidoo N, Sehgal A (2001) Photic signaling by cryptochrome in the Drosophila circadian system. Mol Cell Biol 21: 7287–7294. doi: 10.1128/mcb.21.21.7287-7294.2001
  18. 18. Stanewsky R, Kaneko M, Emery P, Beretta B, Wager-Smith K, et al. (1998) The cryb mutation identifies cryptochrome as a circadian photoreceptor in Drosophila. Cell 95: 681–692. doi: 10.1016/s0092-8674(00)81638-4
  19. 19. Bae K, Edery I (2006) Regulating a circadian clock's period, phase and amplitude by phosphorylation: insights from Drosophila. J Biochem (Tokyo) 140: 609–617. doi: 10.1093/jb/mvj198
  20. 20. Chiu JC, Ko HW, Edery I (2011) NEMO/NLK phosphorylates PERIOD to initiate a time-delay phosphorylation circuit that sets circadian clock speed. Cell 145: 357–370. doi: 10.1016/j.cell.2011.04.002
  21. 21. Chiu JC, Vanselow JT, Kramer A, Edery I (2008) The phospho-occupancy of an atypical SLIMB-binding site on PERIOD that is phosphorylated by DOUBLETIME controls the pace of the clock. Genes Dev 22: 1758–1772. doi: 10.1101/gad.1682708
  22. 22. Grima B, Dognon A, Lamouroux A, Chélot E, Rouyer F (2012) CULLIN-3 controls TIMELESS oscillations in the Drosophila circadian clock. PLOS Biol 10: e1001367. doi: 10.1371/journal.pbio.1001367
  23. 23. Lamaze A, Lamouroux A, Vias C, Hung HC, Weber F, et al. (2011) The E3 ubiquitin ligase CTRIP controls CLOCK levels and PERIOD oscillations in Drosophila. EMBO Rep 12: 549–557. doi: 10.1038/embor.2011.64
  24. 24. Naidoo N, Song W, Hunter-Ensor M, Sehgal A (1999) A role for the proteasome in the light response of the timeless clock protein. Science 285: 1737–1741. doi: 10.1126/science.285.5434.1737
  25. 25. Stoleru D, Nawathean P, de la Paz Fernandez M, Menet JS, Ceriani MF, Rosbash M (2007) The Drosophila circadian network is a seasonal timer. Cell 129: 207–219. doi: 10.1016/j.cell.2007.02.038
  26. 26. Sathyanarayanan S, Zheng X, Xiao R, Sehgal A (2004) Posttranslational regulation of Drosophila PERIOD protein by protein phosphatase 2A. Cell 116: 603–615. doi: 10.1016/s0092-8674(04)00128-x
  27. 27. Allada R, Chung BY (2010) Circadian organization of behavior and physiology in Drosophila. Annu Rev Physiol 72: 605–624. doi: 10.1146/annurev-physiol-021909-135815
  28. 28. Park JH, Helfrich-Forster C, Lee G, Liu L, Rosbash M, et al. (2000) Differential regulation of circadian pacemaker output by separate clock genes in Drosophila. Proc Natl Acad Sci U S A 97: 3608–3613. doi: 10.1073/pnas.97.7.3608
  29. 29. Choi C, Cao G, Tanenhaus AK, McCarthy EV, Jung M, et al. (2012) Autoreceptor control of peptide/neurotransmitter corelease from PDF neurons determines allocation of circadian activity in drosophila. Cell Rep 2: 332–344. doi: 10.1016/j.celrep.2012.06.021
  30. 30. Cusumano P, Klarsfeld A, Chelot E, Picot M, Richier B, et al. (2009) PDF-modulated visual inputs and cryptochrome define diurnal behavior in Drosophila. Nat Neurosci 12: 1431–1437. doi: 10.1038/nn.2429
  31. 31. Duvall LB, Taghert PH (2012) The circadian neuropeptide PDF signals preferentially through a specific adenylate cyclase isoform AC3 in M pacemakers of Drosophila. PLoS Biol 10: e1001337. doi: 10.1371/journal.pbio.1001337
  32. 32. Harrisingh MC, Wu Y, Lnenicka GA, Nitabach MN (2007) Intracellular Ca2+ regulates free-running circadian clock oscillation in vivo. J Neurosci 27: 12489–12499. doi: 10.1523/jneurosci.3680-07.2007
  33. 33. Hyun S, Lee Y, Hong ST, Bang S, Paik D, et al. (2005) Drosophila GPCR Han is a receptor for the circadian clock neuropeptide PDF. Neuron 48: 267–278. doi: 10.1016/j.neuron.2005.08.025
  34. 34. Lear BC, Merrill CE, Lin JM, Schroeder A, Zhang L, et al. (2005) A G protein-coupled receptor, groom-of-PDF, is required for PDF neuron action in circadian behavior. Neuron 48: 221–227. doi: 10.1016/j.neuron.2005.09.008
  35. 35. Lear BC, Zhang L, Allada R (2009) The neuropeptide PDF acts directly on evening pacemaker neurons to regulate multiple features of circadian behavior. PLoS Biol 7: e1000154. doi: 10.1371/journal.pbio.1000154
  36. 36. Mertens I, Vandingenen A, Johnson EC, Shafer OT, Li W, et al. (2005) PDF receptor signaling in Drosophila contributes to both circadian and geotactic behaviors. Neuron 48: 213–219. doi: 10.1016/j.neuron.2005.09.009
  37. 37. Renn SC, Park JH, Rosbash M, Hall JC, Taghert PH (1999) A pdf neuropeptide gene mutation and ablation of PDF neurons each cause severe abnormalities of behavioral circadian rhythms in Drosophila. Cell 99: 791–802. doi: 10.1016/s0092-8674(00)81676-1
  38. 38. Shafer OT, Taghert PH (2009) RNA-interference knockdown of Drosophila pigment dispersing factor in neuronal subsets: the anatomical basis of a neuropeptide's circadian functions. PLoS ONE 4: e8298. doi: 10.1371/journal.pone.0008298
  39. 39. Stoleru D, Peng Y, Agosto J, Rosbash M (2004) Coupled oscillators control morning and evening locomotor behaviour of Drosophila. Nature 431: 862–868. doi: 10.1038/nature02926
  40. 40. Wu Y, Cao G, Nitabach MN (2008) Electrical silencing of PDF neurons advances the phase of non-PDF clock neurons in Drosophila. J Biol Rhythms 23: 117–128. doi: 10.1177/0748730407312984
  41. 41. Zhang L, Chung BY, Lear BC, Kilman VL, Liu Y, et al. (2010) DN1(p) circadian neurons coordinate acute light and PDF inputs to produce robust daily behavior in Drosophila. Curr Biol 20: 591–599. doi: 10.1016/j.cub.2010.02.056
  42. 42. Peng Y, Stoleru D, Levine JD, Hall JC, Rosbash M (2003) Drosophila free-running rhythms require intercellular communication. PLoS Biol 1: e13. doi: 10.1371/journal.pbio.0000013
  43. 43. Lin Y, Stormo GD, Taghert PH (2004) The neuropeptide pigment-dispersing factor coordinates pacemaker interactions in the Drosophila circadian system. J Neurosci 24: 7951–7957. doi: 10.1523/jneurosci.2370-04.2004
  44. 44. Yoshii T, Wulbeck C, Sehadova H, Veleri S, Bichler D, et al. (2009) The neuropeptide pigment-dispersing factor adjusts period and phase of Drosophila's clock. J Neurosci 29: 2597–2610. doi: 10.1523/jneurosci.5439-08.2009
  45. 45. Schneider NL, Stengl M (2005) Pigment-dispersing factor and GABA synchronize cells of the isolated circadian clock of the cockroach Leucophaea maderae. J Neurosci 25: 5138–5147. doi: 10.1523/jneurosci.5138-a-04.2005
  46. 46. Im SH, Taghert PH (2010) PDF receptor expression reveals direct interactions between circadian oscillators in Drosophila. J Comp Neurol 518: 1925–1945. doi: 10.1002/cne.22311
  47. 47. Shafer OT, Kim DJ, Dunbar-Yaffe R, Nikolaev VO, Lohse MJ, et al. (2008) Widespread receptivity to neuropeptide PDF throughout the neuronal circadian clock network of Drosophila revealed by real-time cyclic AMP imaging. Neuron 58: 223–237. doi: 10.1016/j.neuron.2008.02.018
  48. 48. Taylor SS (1989) cAMP-dependent protein kinase. Model for an enzyme family. J Biol Chem 264: 8443–8446.
  49. 49. Majercak J, Kalderon D, Edery I (1997) Drosophila melanogaster deficient in protein kinase A manifests behavior-specific arrhythmia but normal clock function. Mol Cell Biol 17: 5915–5922.
  50. 50. Park SK, Sedore SA, Cronmiller C, Hirsh J (2000) Type II cAMP-dependent protein kinase-deficient Drosophila are viable but show developmental, circadian, and drug response phenotypes. J Biol Chem 275: 20588–20596. doi: 10.1074/jbc.m002460200
  51. 51. Brand AH, Perrimon N (1993) Targeted gene expression as a means of altering cell fates and generating dominant phenotypes. Development 118: 401–415.
  52. 52. Li W, Ohlmeyer JT, Lane ME, Kalderon D (1995) Function of protein kinase A in hedgehog signal transduction and Drosophila imaginal disc development. Cell 80: 553–562. doi: 10.1016/0092-8674(95)90509-x
  53. 53. Dickson B, Sprenger F, Morrison D, Hafen E (1992) Raf functions downstream of Ras1 in the Sevenless signal transduction pathway. Nature 360: 600–603. doi: 10.1038/360600a0
  54. 54. Lear BC, Lin JM, Keath JR, McGill JJ, Raman IM, et al. (2005) The ion channel narrow abdomen is critical for neural output of the Drosophila circadian pacemaker. Neuron 48: 965–976. doi: 10.1016/j.neuron.2005.10.030
  55. 55. Grima B, Chelot E, Xia R, Rouyer F (2004) Morning and evening peaks of activity rely on different clock neurons of the Drosophila brain. Nature 431: 869–873. doi: 10.1038/nature02935
  56. 56. Kula E, Levitan ES, Pyza E, Rosbash M (2006) PDF cycling in the dorsal protocerebrum of the Drosophila brain is not necessary for circadian clock function. J Biol Rhythms 21: 104–117. doi: 10.1177/0748730405285715
  57. 57. Feinberg EH, Vanhoven MK, Bendesky A, Wang G, Fetter RD, et al. (2008) GFP Reconstitution Across Synaptic Partners (GRASP) defines cell contacts and synapses in living nervous systems. Neuron 57: 353–363. doi: 10.1016/j.neuron.2007.11.030
  58. 58. Nikolaev VO, Bunemann M, Hein L, Hannawacker A, Lohse MJ (2004) Novel single chain cAMP sensors for receptor-induced signal propagation. J Biol Chem 279: 37215–37218. doi: 10.1074/jbc.c400302200
  59. 59. Chen TW, Wardill TJ, Sun Y, Pulver SR, Renninger SL, et al. (2013) Ultrasensitive fluorescent proteins for imaging neuronal activity. Nature 499: 295–300. doi: 10.1038/nature12354
  60. 60. Craven KB, Zagotta WN (2006) CNG and HCN channels: two peas, one pod. Annu Rev Physiol 68: 375–401. doi: 10.1146/annurev.physiol.68.040104.134728
  61. 61. Kilman VL, Zhang L, Meissner RA, Burg E, Allada R (2009) Perturbing dynamin reveals potent effects on the Drosophila circadian clock. PLoS ONE 4: e5235. doi: 10.1371/journal.pone.0005235
  62. 62. Mizrak D, Ruben M, Myers GN, Rhrissorrakrai K, Gunsalus KC, et al. (2012) Electrical activity can impose time of day on the circadian transcriptome of pacemaker neurons. Curr Biol 22: 1871–1880. doi: 10.1016/j.cub.2012.07.070
  63. 63. Levine JD, Casey CI, Kalderon DD, Jackson FR (1994) Altered circadian pacemaker functions and cyclic AMP rhythms in the Drosophila learning mutant dunce. Neuron 13: 967–974. doi: 10.1016/0896-6273(94)90262-3
  64. 64. Luo W, Chen WF, Yue Z, Chen D, Sowcik M, et al. (2012) Old flies have a robust central oscillator but weaker behavioral rhythms that can be improved by genetic and environmental manipulations. Aging Cell 11: 428–438. doi: 10.1111/j.1474-9726.2012.00800.x
  65. 65. Zhang Y, Emery P (2013) GW182 controls Drosophila circadian behavior and PDF-receptor signaling. Neuron 78: 152–165. doi: 10.1016/j.neuron.2013.01.035
  66. 66. Menet JS, Abruzzi KC, Desrochers J, Rodriguez J, Rosbash M (2010) Dynamic PER repression mechanisms in the Drosophila circadian clock: from on-DNA to off-DNA. Genes Dev 24: 358–367. doi: 10.1101/gad.1883910
  67. 67. Weber F, Hung HC, Maurer C, Kay SA (2006) Second messenger and Ras/MAPK signalling pathways regulate CLOCK/CYCLE-dependent transcription. J Neurochem 98: 248–257. doi: 10.1111/j.1471-4159.2006.03865.x
  68. 68. Zeng H, Qian Z, Myers MP, Rosbash M (1996) A light-entrainment mechanism for the Drosophila circadian clock. Nature 380: 129–135. doi: 10.1038/380129a0
  69. 69. Suri V, Qian Z, Hall JC, Rosbash M (1998) Evidence that the TIM light response is relevant to light-induced phase shifts in Drosophila melanogaster. Neuron 21: 225–234. doi: 10.1016/s0896-6273(00)80529-2
  70. 70. Zhang L, Lear BC, Seluzicki A, Allada R (2009) The CRYPTOCHROME photoreceptor gates PDF neuropeptide signaling to set circadian network hierarchy in Drosophila. Curr Biol 19: 2050–2055. doi: 10.1016/j.cub.2009.10.058
  71. 71. Gordon MD, Scott K (2009) Motor control in a Drosophila taste circuit. Neuron 61: 373–384. doi: 10.1016/j.neuron.2008.12.033
  72. 72. Shang Y, Griffith LC, Rosbash M (2008) From the cover: feature article: light-arousal and circadian photoreception circuits intersect at the large PDF cells of the Drosophila brain. Proc Natl Acad Sci U S A 105: 19587–19594. doi: 10.1073/pnas.0809577105
  73. 73. Pfeiffenberger C, Lear BC, Keegan KP, Allada R (2010) Processing circadian data collected from the Drosophila Activity Monitoring (DAM) System. Cold Spring Harb Protoc 2010: pdb prot5519. doi: 10.1101/pdb.prot5519
  74. 74. Nagoshi E, Sugino K, Kula E, Okazaki E, Tachibana T, et al. (2010) Dissecting differential gene expression within the circadian neuronal circuit of Drosophila. Nat Neurosci 13: 60–68. doi: 10.1038/nn.2451
  75. 75. Kula-Eversole E, Nagoshi E, Shang Y, Rodriguez J, Allada R, et al. (2010) Surprising gene expression patterns within and between PDF-containing circadian neurons in Drosophila. Proc Natl Acad Sci U S A 107: 13497–13502. doi: 10.1073/pnas.1002081107
  76. 76. Stewart BA, Atwood HL, Renger JJ, Wang J, Wu CF (1994) Improved stability of Drosophila larval neuromuscular preparations in haemolymph-like physiological solutions. J Comp Physiol A 175: 179–191. doi: 10.1007/bf00215114