Central and peripheral clocks are coupled by a neuropeptide pathway in Drosophila

Selcho, Mareike; Millán, Carola; Palacios-Muñoz, Angelina; Ruf, Franziska; Ubillo, Lilian; Chen, Jiangtian; Bergmann, Gregor; Ito, Chihiro; Silva, Valeria; Wegener, Christian; Ewer, John

doi:10.1038/ncomms15563

Download PDF

Article
Open access
Published: 30 May 2017

Central and peripheral clocks are coupled by a neuropeptide pathway in Drosophila

Mareike Selcho¹^na1,
Carola Millán²^na1^nAff3,
Angelina Palacios-Muñoz²^na1^nAff4,
Franziska Ruf¹,
Lilian Ubillo²,
Jiangtian Chen ORCID: orcid.org/0000-0002-7226-1678¹,
Gregor Bergmann¹,
Chihiro Ito¹^nAff5,
Valeria Silva²,
Christian Wegener ORCID: orcid.org/0000-0003-4481-3567¹ &
…
John Ewer ORCID: orcid.org/0000-0002-6806-3628²

Nature Communications volume 8, Article number: 15563 (2017) Cite this article

8636 Accesses
72 Citations
93 Altmetric
Metrics details

Subjects

Abstract

Animal circadian clocks consist of central and peripheral pacemakers, which are coordinated to produce daily rhythms in physiology and behaviour. Despite its importance for optimal performance and health, the mechanism of clock coordination is poorly understood. Here we dissect the pathway through which the circadian clock of Drosophila imposes daily rhythmicity to the pattern of adult emergence. Rhythmicity depends on the coupling between the brain clock and a peripheral clock in the prothoracic gland (PG), which produces the steroid hormone, ecdysone. Time information from the central clock is transmitted via the neuropeptide, sNPF, to non-clock neurons that produce the neuropeptide, PTTH. These secretory neurons then forward time information to the PG clock. We also show that the central clock exerts a dominant role on the peripheral clock. This use of two coupled clocks could serve as a paradigm to understand how daily steroid hormone rhythms are generated in animals.

Molecular mechanisms and physiological importance of circadian rhythms

Article 25 November 2019

Alina Patke, Michael W. Young & Sofia Axelrod

A nutrient-responsive hormonal circuit mediates an inter-tissue program regulating metabolic homeostasis in adult Drosophila

Article Open access 30 August 2021

Takashi Koyama, Selim Terhzaz, … Kenneth V. Halberg

Metabolic control of daily locomotor activity mediated by tachykinin in Drosophila

Article Open access 07 June 2021

Sang Hyuk Lee, Eunjoo Cho, … Eun Young Kim

Introduction

Circadian clocks impose daily periodicities to many behaviours and physiological processes in a wide variety of organisms. In animals, many tissues are known to contain circadian pacemakers. Whereas much is currently known about the molecular mechanisms that produce rhythmicity within circadian pacemakers, less is known about how the activity of these pacemakers is coordinated within an animal, even though loss of synchronization between pacemakers can contribute to circadian rhythm and sleep disorders, as well as metabolic and cardiovascular diseases^1,2,3. In mammals, coordination is effected by the central pacemaker of the suprachiasmatic nucleus (SCN)⁴ through poorly understood pathways, but which include neural, endocrine^5,6 and even thermal signals⁷. In insects, by contrast, most peripheral pacemakers are autonomous, and their synchronization is accomplished through exposure to common entraining signals such as light, which can penetrate the translucid exoskeleton, or temperature⁸. However, more complex relationships between central and peripheral clocks have also been reported. In Drosophila, for example, the clock in the peripheral pheromone-producing oenocyte cells can be set by pigment dispersing factor (PDF), the principal neuropeptide produced by the central clock in the brain⁹. An even more complex relationship has recently been reported for the fat body, where the cycling of some genes depends on the fat body clock whereas that of other genes occurs in response to peptidergic central brain signals mediated by the neuropeptide F (NPF) neuropeptide^10,11.

Here we investigated the mechanism that couples the central brain clock to the peripheral clock of the prothoracic gland (PG), which underlies the circadian control of adult emergence. The PG is the endocrine gland that produces the steroid moulting hormone, ecdysone (E), and previous work in Drosophila^12,13 and other insects^14,15 has shown that the activity of the PG clock depends on the brain clock. Together these two clocks restrict the time of adult emergence to a species-specific window within the day^16,17,18. A long-standing presumption has been that the brain clock communicates with the PG clock via PDF¹⁶. In the larval brain of Drosophila, the PDF-expressing clock neurons known as ‘lateral neurons’ (LNs) project to the dorsal region of the brain and terminate in close proximity to the dendritic arbours of neurons that produce the prothoracicotropic hormone (PTTH), which controls ecdysone production by the PG^19,20,21.

Here we show that a similar anatomical relationship between the small ventral LNs (sLNvs), a critical subclass of central pacemaker neurons, and the PTTH neurons also exists in the pharate adult brain of the fruit fly. Yet, this connection is not effected by PDF but by short NPF (sNPF), a second neuropeptide produced by sLNv neurons²². We also show that PTTH neurons transmit the central brain timing information to the PG via the neuropeptide PTTH, acting on its receptor encoded by the torso gene²³. Finally, by examining the consequences on the rhythmicity of emergence of separately altering the speed of the central versus the peripheral PG clock we show that the brain clock exerts a dominant influence on the PG clock. Thus, our findings identify the peptidergic pathway that connects the brain clock to the peripheral PG clock to regulate the timing of this critical behaviour, and demonstrate the hierarchical relationship between these two clocks. Our results are reminiscent of the control of the circadian rhythm of glucocorticoid (GC) production in mammals, which depends on functional clocks in the SCN and in the adrenal gland. In this case, the mechanisms through which central and peripheral clocks are coordinated to time steroid hormone action are still incompletely understood. The control of emergence in Drosophila may provide a genetically tractable model to uncover general mechanisms behind such daily endocrine rhythms.

Results

sLNv clock neurons are connected to PTTH neurons via sNPF

The central clock of Drosophila includes around 150 clock neurons²⁴. Of these, 8 pairs of ventral LNs (LNvs) express the neuropeptide PDF, which is key for the expression of behavioural circadian rhythmicity^25,26, including rhythmic adult emergence^16,17, and is one of the intercellular signals that coordinates the phase of the various clock neurons^27,28. In addition, the prominent projections from the small LNvs (sLNvs) to the superior protocerebrum occur in close proximity to neurons known to control specific behaviours, suggesting that PDF may also be a clock output signal. In the pharate adult brain in particular, it overlaps with the dendritic field of the PTTH producing neurons (Fig. 1a–c), which regulate the timing of every insect moult²⁹. The PTTH neurons project to the PG (Fig. 1d,e), where local release of PTTH causes the synthesis of E (ref. 21). Since the levels of ecdysone must fall below threshold levels in order for emergence to occur^30,31, this anatomical arrangement suggests that PDF, acting on PTTH neurons, could provide a pathway through which the central clock could influence the PG clock and gate the time of adult emergence. Yet, despite these auspicious observations, we found that PTTH neurons did not respond to PDF application. The PDF receptor (PDFR) is a secretin receptor-like G protein-coupled receptor³² and signals through cyclic adenosine monophosphate (cAMP; ref. 33). Challenging with PDF larval or pharate adult brains expressing the genetically encoded cAMP sensor, Epac1-camps³³, did not cause a decrease in FRET signal in PTTH neurons (Fig. 2a,c), which is expected^33,34 in response to an increase in cAMP, except when PDFR was ectopically expressed in these neurons (Fig. 2b,c). Consistent with this observation, downregulating PDFR in PTTH neurons did not affect the rhythmicity of emergence (Fig. 3b,f; compare with control, Fig. 3d,f). These results suggest that the aberrant timing of eclosion expressed by pdf null mutants¹⁶ occurs because the lack of this neuropeptide causes the brain clock itself to become arrhythmic. Consistent with this, residual rhythmicity in pdf null mutants is apparent in the first 2 days of DD (Supplementary Fig. 1a, asterisks). This situation mirrors the one observed for locomotor activity³⁵ and suggests that PDF’s role in the control of eclosion is limited to the coordination of the various pacemakers in the fly brain^27,28. By contrast, we found that sNPF, a second neuropeptide produced by the PDF-positive sLNvs (ref. 22), caused a rapid decrease in the fluctuations in free calcium in PTTH neurons (Fig. 2d–f; Supplementary Movie 1), reminiscent of sNPF-induced suppression of spontaneous calcium waves in larval motoneurons³⁴; no response was observed when we monitored changes in cAMP levels in PTTH neurons (Supplementary Fig. 2). Importantly, optogenetic activation of PDF neurons using the orthogonal LexA/LexAop expression system mimicked the reduction in cytosolic calcium levels induced by sNPF in the PTTH neurons (Fig. 2g–i; Supplementary Movie 2), suggesting that sLNv neurons could inhibit PTTH neurons via sNPF; no such response was obtained in flies lacking the pdf-LexA driver (ptth-Gal4>GCaMP6m, >LexAop-ChR-XXL; Supplementary Movie 3). Furthermore, RNAi-mediated knockdown of the sNPF receptor specifically in PTTH neurons abolished the circadian rhythmicity of emergence (Fig. 3c,f; compare with control, Fig. 3d,f). These results indicate that the sNPF peptide is the principal circadian signal to PTTH neurons, and that this signal could be provided directly by sLNv neurons.

**Figure 1: Anatomical relationship between PDF- and PTTH-positive neurons.**

**Figure 2: PTTH neurons respond to sNPF but not to PDF.**

**Figure 3: Brain and PG clocks are coupled by sNPF and PTTH.**

PTTH transmits timing information to the PG

We next investigated how the PTTH neurons transmit the timing information from the brain clock to the PG. PTTH neurons are known to produce the neuropeptide, PTTH, but other co-localized transmitters or peptides could be involved. Nevertheless, we found that knockdown of the PTTH neuropeptide in PTTH neurons also rendered emergence arrhythmic (Fig. 3e,f; compare with control, Fig. 3d,f); the same phenotype was obtained following targeted killing (Supplementary Fig. 3a,e) or electrical silencing of PTTH neurons (Supplementary Fig. 3b–e). These results demonstrate that the PTTH neurons provide, via the PTTH neuropeptide, the brain signal that gates the time of adult emergence following light entrainment. This signal is likely required for circadian rhythmicity itself versus simply coupling the activity of the brain clock to the output pathway, since cultures entrained using a warm/cold (WC) temperature regime then also showed an arrhythmic pattern of emergence under conditions of constant darkness and temperature (DD+CC regime; Fig. 4a,j; compare with controls, Fig. 4b,c,j). Interestingly, such cultures eclosed rhythmically under DD+WC (Fig. 4d,j) and LD+CC (Fig. 4g,j) conditions (as did the corresponding controls, Fig. 4e,f,j and Fig. 4h,i,j, respectively). This could occur because the clock in the PG (see below) is directly entrained by light and temperature cycles; indeed, the PG of other insects has been shown to contain a light-entrainable and temperature compensated clock^36,37. Although PTTH is required for circadian rhythmicity of emergence, the PTTH timing signal seems to be independent of rhythmic gene expression, as we were unable to detect circadian or ultradian fluctuations of Ptth messenger RNA levels in pharate heads (Supplementary Fig. 5). This suggests that the timing information from the central clock may be encoded in the PTTH neurons by a different mechanism, such as rhythmic peptide release.

**Figure 4: PTTH neurons are required for entrainment by temperature cycles.**

To investigate whether PTTH transmits circadian timing information directly to the PG, we interfered with PTTH transduction in the PG. The receptor for PTTH is the tyrosine kinase-coupled receptor encoded by torso, which is expressed in the PG²³, as are the elements downstream of torso (Supplementary Fig. 6a). We found that knockdown of torso (Supplementary Fig. 6c)²³ and of its intracellular signalling pathway specifically in the PG eliminated the circadian rhythmicity of emergence (Fig. 3g-j, l; compare with control, Fig. 3k,l). Interestingly, no residual rhythmicity was observed when torso was knocked down in the PG (Supplementary Fig. 1b), suggesting that the PG clock is stopped when PTTH signalling to the PG is disrupted. Consistent with this, knockdown of torso in the PG also eliminated the molecular oscillations in the PG monitored using the cre-luciferase reporter³⁸ (Fig. 3m) as well as a period-luciferase reporter (Supplementary Fig. 7). Similarly, knockdown of torso using the timeless-gal4 driver, which is expressed in brain pacemaker neurons as well as in the PG (ref. 39; Fig. 5a–c), also rendered arrhythmic the daily pattern of emergence (Fig. 6a,c). Importantly, normal rhythmicity was restored in these animals when torso RNAi expression was excluded from the PG (Fig. 6b,c; cf. Fig. 5d–f), indicating that the PG is the only tissue to which PTTH conveys the circadian signal from the central clock, even though torso is also expressed in other tissues at this time (Supplementary Fig. 6b). Finally, knocking down torso in the PG (Supplementary Fig. 8a,e) or in other clock tissues (Supplementary Fig. 8b–e) did not affect the circadian rhythm of locomotor activity in adult flies.

**Figure 5: *phm*-gal80 effectively suppresses *tim*-gal4 expression in the PG.**

**Figure 6: *torso* is required only in the PG for circadian rhythmicity of eclosion.**

The brain clock exerts dominant influence over the PG clock

Our findings show that the central clock transmits circadian timing information to the peripheral PG clock via PTTH. To investigate the relative importance of the central versus the PG clock in the control of the circadian rhythmicity of adult emergence, we investigated the consequences of genetically stopping these clocks on the circadian gating of eclosion. As shown in Fig. 7, we found that stopping the brain clock (Fig. 7b,e) or the PG clock (Fig. 7c,e) by overexpressing the dominant form of the cycle gene (cyc[Δ901] (ref. 40)) renders arrhythmic the pattern of adult emergence (as did stopping all clocks, Fig. 7a,e). A similar result was obtained by overexpressing the timeless gene in all clock tissues (including the brain) except for the PG (Supplementary Fig. 9b,i) or only the PG clock (Supplementary Fig. 9d,i); by stopping the clock in PDF-expressing neurons using cyc[Δ901] (Supplementary Fig. 9c,i); and in the pdf null allele (Supplementary Fig. 1a). These results are consistent with previous reports^16,17,18, but differ from intriguing findings recently reported by Di Cara and King-Jones⁴¹, which show that specifically stopping the PG clock is mostly lethal due to a disruption in ecdysone synthesis; how these results can be reconciled with our and previous findings awaits further investigation.

**Figure 7: Stopping clock in brain and/or PG leads to arrhythmic adult emergence.**

Although our results (Fig. 7) and those of others^16,17,18 show that functional clocks are required in both the brain and the PG for a circadian pattern of emergence, they do not inform on the hierarchical relationship between these two clocks because we do not understand the mechanism by which the brain clock influences the PG clock. In particular, we do not know the consequences on the PG clock of stopping the brain clock. The PG is known to house an autonomous, light-entrainable and temperature compensated clock^12,13,31,37, yet stopping the brain clock could result in the production of a dominant PTTH signal that stops the PG clock, obscuring any autonomous action that the PG clock could exert in the absence of a central clock. For this reason, rather than stopping the central or the peripheral PG clock, we explored their hierarchical relationship by investigating the consequences on eclosion rhythmicity of separately manipulating their speed using targeted expression of doubletime kinase alleles²⁸. Using this approach, we found that slowing down the brain clock caused a lengthening in the periodicity of emergence that was indistinguishable from that obtained when the speed of all clocks was similarly manipulated (Fig. 8b versus Fig. 8a; Fig. 8d). A comparable result was obtained when the clock in the brain was selectively sped up (Fig. 8f versus Fig. 8e; Fig. 8h), although a slight contribution from the PG could be detected in this case. Nevertheless, such a contribution is comparatively minor, since slowing down (Fig. 8c,d) or speeding up (Fig. 8g,h) only the PG clock using the strong PG gal4 driver, phm-gal4 (Fig. 5g–i), did not cause statistically significant changes to the periodicity of emergence. Thus, the timing of emergence is controlled by two coupled clocks, in which the brain clock plays a dominant role as compared to the PG clock, fully supporting the classical ‘coupled-oscillator model’ of brain and PG clock as ‘master’ and ‘slave’ clocks, respectively⁴².

**Figure 8: Hierarchical relationship between the brain clock and the PG clock.**

Discussion

The emergence of the adult fly is controlled by the circadian clock, which restricts the time of eclosion to a species-specific time window. This control depends on the presence of a functional clock in the brain and in the PG. Here we have identified the pathway through which the central brain clock exerts its influence on the peripheral PG clock (cf., Fig. 3a). The PDF neuropeptide plays a key role in coordinating the activity of the network of pacemaker neurons of the central clock^26,43 and also plays a role in setting the phase of some peripheral clocks⁹. Yet, although it has long been assumed that the brain would influence the PG clock via PDF, we show here that the PTTH neurons receive central clock input via the inhibitory sNPF neuropeptide; PTTH neurons then transmit this time information to the PG via the PTTH neuropeptide. This arrangement joins other cases where LN clock neurons communicate with the periphery using neuropeptides other than PDF, as occurs for some cycling genes in the fly’s fat body¹⁰, which is mediated through NPF. In line with sNPF’s inhibitory action on calcium activity of the PTTH neurons in pharate adults, ablation of PDF neurons allows a stronger and faster response to light stimulation in larval PTTH neurons¹⁹. It will be interesting to establish whether the use of sNPF-mediated inhibition as a clock-to-PTTH neuron signal is a general feature throughout the insects, as close proximity of clock and PTTH neuronal termini has been found in many hemi- and holometabolous insects^44,45,46.

By selectively speeding up the brain or the PG clock we show that the brain clock exerts a dominant action on the PG clock. Assuming that sNPF is temporally co-released with PDF, our findings imply that the central clock’s contribution to the gating of eclosion would be mediated through an inhibition of steroidogenesis starting in the early morning, when PDF release is believed to be maximal⁴⁷. This signal would then cause the ecdysone titer to drop below the required threshold^30,31, resulting in the commitment to emerge during the next gate to be made around lights-off⁴⁸ and causing the gate to open starting at dawn of the following day.

In the bug, Rhodnius, moulting is accompanied by dramatic circadian oscillations in ecdysone titers^31,49. Interestingly, whereas these titers in general rise during the dark phase of the light:dark cycle, they drop during the final night before emergence; this final drop would then lead to the opening of the emergence gate. Furthermore, injections of 20E destroy the gating of emergence³¹, consistent with the notion that gating is regulated by ecdysone. Nevertheless, this picture differs from that obtained in other insects. In particular, ecdysone titers show at most shallow circadian oscillations in the moth, Manduca sexta³⁰, and injections of 20E do not destroy the gating of adult emergence but instead cause animals to emerge later during the same gate or to eclose during a later gate⁵⁰; likewise, no circadian oscillations in 20E titers have been described during Drosophila metamorphosis^51,52. Thus, the specific mechanism may differ among insect species. In particular, the entirety of metamorphosis of Drosophila lasts only about 100 h, which may be too short a duration for timing of emergence to be controlled through a circadian regulation of ecdysone titers. Nevertheless, it could be that in all insects the time when the circadian clock exerts its critical influence is during the final day of the moult. Indeed, regardless of whether ecdysteroids express circadian oscillations in titers, the commitment to emerge occurs during the last day before emergence (Rhodnius⁵³, Manduca³⁰ and Drosophila⁴⁸).

Although we have identified the neuropeptides that connect the brain clock to the PG clock, many questions remain. In particular, we do not understand the relationship between PTTH signalling and 20E production. Indeed, although PTTH synthesis is under clock control (at least in the adult⁵⁴), its messenger RNA does not cycle with circadian periodicity in the pharate adult (Supplementary Fig. 5), the larva²¹ or the adult⁵⁴. It will also be important to determine how PTTH signalling affects the PG clock. It is especially intriguing that both brain and PG clocks are necessary for a circadian rhythmicity of emergence (Fig. 7, Supplementary Figs 1 and 9), yet interfering with PTTH signalling in the PG eliminates PG clock cycling (Fig. 3m; Supplementary Fig. 7). This result is reminiscent of the situation described for the clock control of GC production by the mammalian adrenal gland. In this case circadian cycling in GC titers also depends on a functional central clock (housed in the SCN) as well as a functional peripheral clock in the adrenal gland³, which gate the sensitivity to corticotropin-releasing hormone. The underlying mechanisms are incompletely understood but involve the regulation of cholesterol transport via clock control of Steroidogenic Acute Regulatory protein (StAR) expression. Interestingly, the GC rhythms affect the cycling of clock genes in other peripheral clocks, revealing that the adrenal gland clock may play a more dominant role among peripheral clocks. By analogy, and especially considering that 20E is also a steroid hormone with potent genomic effects⁵⁵, it is possible that the PG clock could exert a similarly dominant influence on other peripheral clocks.

Ecdysone feeds into the molecular clockwork by modulating clockwork orange and clock/period expression via the ecdysone receptor and the downstream targets, Eip75 (ecdysone-induced protein 75) and microRNA let-7 (refs 54, 56, 57). Interestingly, Eip75B is the fly homologue of REV-ERB α and REV-ERB β, which are key regulatory elements of the core molecular clock of mammals^6,29. This notable conservation between mammals and Drosophila in the functioning and steroid feedback of the circadian clock extends the previously noted conservation at the level of the pacemaker itself⁵⁸ and at the level of the intra-pacemaker coordination by peptides activating the same Family B1 GPCR signalling pathway vasoactive intestinal polypeptide (VIP), and PDF, in mice and flies, respectively^26,59). This could mean that the genetically tractable circadian system of the fly could also be used to understand how the different mammalian clocks are coordinated. It will also be interesting to determine whether similar deep homologies extend to the actions of the sNPF signalling pathway and those of its vertebrate homologue, prolactin-releasing peptide⁶⁰, which has been implicated in the control of mammalian circadian rhythmicity and/or sleep regulation⁶¹.

Methods

Fly rearing and fly stocks

All flies were reared at room temperature (21–25 °C) on standard cornmeal/molasses/yeast food medium. All stocks with the exception of phm-gal80 and LexAop-Channelrhodopsin2-XXL (see below) have previously been described and are listed in Supplementary Methods. All genotypes involving the use of UAS-RNAi transgenes included a copy of a UAS-dcr2 transgene. When performing RNAi knockdown, several UAS-RNAi lines were tested and the one producing the most extreme phenotype was used (see Supplementary Methods).

phm-gal80

A 1.2 Kb DNA fragment containing the phm promotor was PCR-amplified using primers (see Supplementary Table 1) that included BglII (5′) and SpeI (3′) restriction sites, and cloned into the pGEM-T easy vector (Promega, WI, USA). It was then sequenced for verification, cut out using BglII and SpeI, and cloned into pPelican P-element vector⁶² cut with BamHI and SpeI (first purified away from the fragment containing the HSP70 TATA and eGFP DNA); this last step was completed by Genewiz (NJ, USA). DNA from sequence-verified clone was then sent for transformation to BestGene (Chino Hills, CA, USA).

LexAop-Channelrhodopsin2-XXL

The Channelrhodopsin2-XXL (ChR2-XXL) gene⁶³ (kind gift of Robert Kittel, Tobias Langenhan, and Georg Nagel, University of Würzburg), was PCR-amplified using Gateway primers (see Supplementary Table 1) and a Phusion High-Fidelity polymerase (Thermo Scientific), then sequenced for verification. The amplified sequence was introduced into the Gateway destination vector pLOT-W (ref. 64). The resulting LexAop-ChR2-XXL construct was introduced into the germline of w¹¹¹⁸ flies using standard P-element transformation by BestGene (Chino Hills, CA, USA). Several independent transformant lines were obtained. The functionality of the construct was tested by panneuronal expression using elav-LexA and subsequent activation by blue light, which induced a paralysis not seen in controls.

RT-PCR

Larval CNSs, whole prepupae and PGs were dissected under ice-cold phosphate-buffered saline (PBS). To aid PG visualization, larvae expressing GFP under the control of phm-gal4 were used. Total RNA was extracted using Trizol reagent (Invitrogen, Carlsbad, CA, USA) following manufacturer’s instructions, and resuspended in 20 μl of RNAse-free water.

cDNA synthesis was carried out using SuperScript II Reverse Transcriptase (Invitrogen) following manufacturer’s instructions. RNA of 1 μg was first treated for 15 min at room temperature with 1 μl DNAse I (2 U μl⁻¹), 10 × DNAse I Buffer (100 mM Tris, pH 7.5; 25 mM MgCl₂; 5 mM CaCl₂); DNAse I was then inactivated adding 1.5 μl 25 mM EDTA and incubating for 10 min at 65 °C. Oligo-dT (0.5 μg) and dNTP’s (10 mM each) were then added to each sample, incubated at 65 °C for 5 min, then placed on ice. Four microlitres of 5 × First-Strand Buffer (250 mM Tris-HCl, pH 8.3; 375 mM KCl; 15 mM MgCl₂), 2 μl DTT (100 mM) and 1 μl RNAseOUT RNAse inhibitor (40 units μl⁻¹) were then added and samples incubated for 2 min at 42 °C; finally, 1 μl of Reverse Transcriptase was added and the reaction incubated at 42 °C for 50 min, followed by 15 min at 70 °C. Control reactions were processed in parallel except that the Reverse Transcriptase was omitted.

To analyse gene expression, cDNA’s were PCR-amplified using gene specific primers (see Supplementary Table 1); rp49 was used as internal control. A 50 μl reaction mix included 5 μl 10 × buffer, 1.5 μl MgCl₂ (50 mM), 1 μl dNTP’s (10 mM), primers (10 μM), 1 μl of cDNA and 0.2 μl Platinum High Fidelity Taq Polymerase (Invitrogen). The PCR programme consisted of 5 min at 95 °C, followed by 35 cycles of 30 s at 95 °C, 30 s at 55 °C, 60 s at 72 °C and finally 10 min at 72 °C.

Total RNA was extracted from pharate and 0–3 days old adult Canton-S flies using the Quick-RNA MicroPrep Kit (Zymo Research, Irvine, USA) according to manufacturer’s instructions. Central brains, optic lobes and retinas (15 flies per group) were dissected in HL3.1 medium⁶⁵, and transferred to 300 μl RNA lysis buffer on ice. Additionally, the gonads of 10 adult males and females, as well as the complete abdomen of 10 male and female pharate flies were collected in 300 μl RNA lysis buffer on ice. As positive control, brains with ring glands from Canton-S L3 wandering larvae were collected and similarly treated. Tissues were homogenized with a plastic pestle. Total RNA was eluted in 8 μl RNAse-free water.

For cDNA synthesis, the QuantiTect Reverse Transcription Kit from Qiagen (Venlo, Netherlands) was used. All steps were performed following the manufacturer’s protocol. Genomic DNA was removed by adding 1 μl of gDNA wipeout buffer to 6 μl of the eluted RNA. Following incubation at 42 °C for 2 min, the samples were placed for 2 min at 4 °C and 3 μl of a mastermix composed of 2 μl RT Buffer, 0.5 μl RT Primer Mix and 0.5 μl reverse transcriptase was added. Reverse transcription was performed for 30 min at 42 °C, followed by 3 min at 95 °C and 2 min at 4 °C. Finally, 40 μl water were added; cDNA samples were stored at −20 °C.

To analyse torso expression in the isolated fly tissues, cDNAs were PCR-amplified using torso-specific primers (see Supplementary Table 1) and a JumpStart REDTaq ReadyMix Reaction Mix (Sigma-Aldrich, MO, USA). α-tubulin was used as internal control. The PCR programme consisted of 5 min at 95 °C, followed by 35 cycles of 30 s at 95 °C, 30 s at 65 °C, 60 s at 72 °C and finally 5 min at 72 °C.

Quantitative PCR with reverse transcription (qRT-PCR) for torso expression was carried out using torso-specific primers suitable for qRT-PCR (see Supplementary Table 1); rp49 was used as reference. Reaction mix included 5 μl Maxima SYBR Green/ROX qPCR Master Mix (2 × )(Thermo Fisher Scientific Inc., Waltham, MA, USA), 0.25 μl primers (10 μM), 1 μl cDNA and 3.5 μl nuclease-free water. PCRs were carried out using an Agilent Mx3000P QPCR System thermocyler (Santa Clara, CA, USA) using the following regime: 25 °C for 5 s, 95 °C for 10 min, followed by 40 cycles of 15 s at 95 °C, 15 s at 57 °C and 15 s at 72 °C. A melting curve was done at the end of the reaction, which consisted of 10 s at 95 °C, 5 s at 25 °C, 5 s at 70 °C and ending with 1 s at 95 °C. All analyses were carried out using MxPro QPCR Software (Agilent, Santa Clara, CA, USA). At least three independently isolated cDNAs were used, and each cDNA was qRT-PCR-amplified in triplicate.

qRT-PCR for Ptth expression was carried out using Ptth-specific primers suitable for qRT-PCR (see Supplementary Table 1); α-tubulin and rp49 were used as reference. Reaction mix included 10 μl SensiMix SYBR Green/NoROX qPCR Master Mix (Bioline, Luckenwalde, Germany), 0.8 μl primers (10 μM), 5 μl cDNA and 3.4 μl nuclease-free water. PCRs were carried out using an Eppendorf Mastercycler (Eppendorf, Hamburg, Germany) using the following regime: 95 °C for 2 min, followed by 35 cycles of 5 s at 95 °C, 10 s at 60.5 °C, 15 s at 72 °C. A melting curve was done at the end of the reaction. Primer efficiency was tested by a dilution series and optimal annealing temperature was determined through a gradient PCR. Analyses were carried out using Eppendorf Mastercycler ep realplex software version 2.2. (Eppendorf, Hamburg, Germany) with consideration of the noise band calculation. Five independently isolated cDNAs were used, and each cDNA was qRT-PCR-amplified in triplicate.

Emergence monitoring

Flies were raised at 20 °C under 12 h light and 12 h darkness (LD 12:12). After 12–17 days, pupae were collected and fixed on eclosion plates with Elmer’s glue and either mounted on Trikinetics eclosion monitors (Trikinetics, MA, USA) or placed in our custom-made WEclMon eclosion monitors (Ruf et al., in prep.); this is an open camera-based system that allows eclosion events to be detected by semi-automated FIJI (ref. 66)-based image analysis. Emergence was then monitored for 7–10 days at 20 °C either under LD 12:12, or DD conditions, in climate and light controlled chambers with ca. 65% relative humidity (Plant Growth Chamber, DR-36NL, Percival Scientific, Inc., Perry, USA and Bioref 19L incubator, PiTec, Chile). Rhythmicity of eclosion profiles was analysed using MATLAB (MathWorks, Inc., Natick, USA) and the appropriate Matlab toolbox⁶⁷. Using autocorrelation analyses, records were considered rhythmic if the rhythmicity index (RI) was ≥0.3, weakly rhythmic if 0.1≤RI≤0.3 and arrhythmic if RI<0.1 (ref. 68).

For experiments involving temperature entrainment, flies were raised under constant red light (635 nm) and a temperature regime of 12 h at 25 °C and 12 h at 16 °C (warm:cool (WC) 12:12). During the shifts, temperature was changed by 0.1 °C per minute. Eclosion was monitored as described above under either WC12:12 or constant temperature (20 °C, CC), and constant red light (635 nm).

Immunostaining

Dissected brains or whole flies with holes in thorax and abdomen were fixed in 4% paraformaldehyde for 2 h. Whole flies were then washed with PBS, embedded in 7% agarose, and sectioned using a vibratome (100 μm). Tissues were washed in PBS containing 0.3% TritonX-100 (PBT), blocked with 5% normal goat serum (NGS) in PBT and incubated overnight at 4 °C in primary antibodies. They were then washed in PBT and incubated overnight at 4 °C in secondary antibodies diluted in PBT containing 3% NGS. Finally, specimens were washed, mounted in 80% glycerol in PBS, and stored in darkness until scanning. Projections from PTTH and PDF neurons were visualized in ptth-gal4>10xmyr-GFP (PTTH) brains using a rabbit anti-GFP antiserum (1:1,000; A6455, Invitrogen, CA, USA) and a mouse anti-PDF monoclonal antibody (1:100; PDF C7 (ref. 69); Developmental Studies Hybridoma Bank, IA, USA, donated by Justin Blau). Secondary antibodies were goat anti-rabbit IgG Alexa Fluor 488 and goat anti-mouse IgG Alexa Fluor 635 (1:250; Invitrogen, MA, USA).

Image analyses

A Leica TCS SPE confocal microscope (Leica Microsystems, Wetzlar, Germany) with a × 20 or × 40 high aperture objective was used to scan the labelled specimens with a z-step size from 0.8 to 1.0 μm. Image projections were made using FIJI (ref. 66). Brightness and contrast adjustment were performed with Photoshop CS5 (Adobe Systems, San Jose, CA, USA). Sagittal views (cf., Fig. 1d,e) were recorded under a Leica M165 FC fluorescence stereo microscope (Leica Microsystems, Germany).

Live imaging of fluorescence

Pharate flies expressing the calcium sensor GCaMP6m (ref. 70) or the cAMP sensor Epac1-camps³³ in PTTH neurons were dissected in HL3.1 saline⁶⁵ and placed at the bottom of the lid of a plastic Petri dish (35 × 10 mm; Greiner Bio-One International GmbH, Austria) filled with HL3.1. Brains were left to adhere to the dish for 15 min then imaged using a widefield fluorescence imaging setup consisting of a motorized Zeiss AxioExaminer D1 upright microscope equipped with a Cairn Twin-Cam LS image splitter, two pco.edge 4.2 sCMOS cameras, and a SPECTRA-4 light engine; or a Zeiss Axioskop FS2 upright microscope equipped with a Photometrics DualView2, a Photometrics CoolSnap CCD camera, and a VisiChrome monochromator (both systems from Visitron, Puchheim, Germany). Images were acquired with a Zeiss W ‘Plan-Apochromat’ × 20/1.0 or × 40/1.0 water immersion objective and analysed using Visiview 3.0 software (Visitron, Puchheim, Germany).

For GCaMP6 calcium imaging, an excitation wavelength of 475 nm and an exposure time of 100 ms at 4x binning was used. Imaging was performed over at least 600 s with a frame rate of 0.5 Hz using a Chroma ET-GFP emission filter. After 300 s, sNPF-1 (AQRSPSLRLRFamide; Iris Biotech GmbH, Marktredwitz, Germany) dissolved in HL3.1 containing 0.1% DMSO or HL3.1 containing 0.1% DMSO (control) were bath applied. Regions of interest (ROIs) were drawn over the cell bodies of PTTH neurons. Background was subtracted for every ROI and the changes in fluorescence intensity were calculated as:

where F_n is the fluorescence at time point n and F₀ is the baseline fluorescence value calculated from frame 139 to 149 (278–298 s, just before application of the solution). Mean fluorescence intensity change was calculated by subtracting the mean ΔF/F₀ of the first 300 s from the mean ΔF/F₀ of the 300 s after bath application of the solution. Calcium spikes were counted for each graph in the first 300 s (pre) and from 302 to 602 s.

For Epac1-camps imaging, an excitation wavelength of 434/17 nm and an exposure time of 120 ms at 4 × binning (Axioskop) or 200 ms without binning (Examiner) was used. Imaging was performed over at least 1500, s with a frame rate of 0.2 Hz using Chroma ET-CFP and ET-YFP emission filters and a dualband CFP/YFP dichroic mirror. After 325 s PDF (NSELINSLLSLPKNMNDAa; Iris Biotech GmbH, Marktredwitz, Germany) and sNPF, respectively, dissolved in HL3.1 containing 0.1% DMSO or HL3.1 containing 0.1% DMSO (control) was applied. After each experiment, NKH477 (Forskolin analog; Merck Millipore, Darmstadt, Germany), a membrane-permeable activator of adenylyl cyclase, was applied as a positive control. Background subtraction was performed for CFP and YFP intensities of every ROI. The CFP/YFP ratio was calculated for each time point as:

with

and

XFP_n is the fluorescence at time point n and XFP₀ is the baseline fluorescence calculated from frame 2 to 8 (5–35 s). The relative change in cAMP levels after PDF application was calculated as mean of the maximum CFP/YFP change over time in per cent.

Light stimulation

To activate pdf-LexA-positive neurons expressing LexAop-ChR2-XXL, two 1-min light pulses of 475 nm were applied to pharate brains kept in HL3.1. For GCaMP6 calcium imaging in PTTH neurons, an excitation wavelength of 475 nm with an intensity of 3780 μW cm⁻² and an exposure time of 80 ms at 1 × binning was used. Imaging was performed over 1202, s with a frame rate of 0.5 Hz using a Chroma ET-GFP emission filter. After 150 time points (300 s) the imaging was paused and a 1 min light pulse of 7530 μW cm⁻² was applied to the brain. After 390 time points a second light pulse of 14280 μW cm⁻² was applied. ROIs were drawn over the cell bodies of PTTH neurons. Mean fluorescence intensity change was calculated by subtracting the mean ΔF/F₀ of the first 300 s from the mean ΔF/F₀ of the 300 s after the second light pulse. Calcium spikes were counted for each graph in the first 300 s (pre) and the 300 s after the second light pulse (after light).

Imaging of bioluminescence

Brains expressing cre-luc³⁸ were dissected in ice-cold Schneider’s medium (Sigma-Aldrich) containing 1% antibiotic solution (10,000 U ml⁻¹ penicillin and 10 mg ml⁻¹ streptomycin; Sigma-Aldrich). The brains were carefully placed on poly-lysine coated FluoroDish plates (FD35-100; WPI, FL, USA). They were then covered with Schneider’s medium containing 1% antibiotic solution, supplemented with 10% fetal bovine serum and 10 μg ml⁻¹ insulin (Sigma-Aldrich), and containing 1 mM luciferin (Potassium Salt, Gold Biotechnology Inc. MO, USA). Preparations were viewed using an LV200 microscope (Olympus, Japan) under 20 × magnification and imaged for 72–96 h with an Evolve 512 camera (Photometrics, Tucson, AZ, USA) using 20 min exposures and 200 × gain. Records were detrended using FIJI (ref. 66).

Statistical analyses

Statistical analyses for Fig. 2 and Supplementary Fig. 2 were performed with R version 3.2.2 (2015-08-14; The R Foundation for Statistical Computing). The imaging data were first analysed for normal distribution using Shapiro-Wilk test. Statistical comparisons between genotypes were then carried out, using t-test for normally distributed data and Wilcoxon rank sum test for non-normally distributed data. For analyses of behavioural rhythmicity, values were compared by one-way ANOVA, followed by Tukey’s post hoc multiple comparison analyses using Prism 6.0 (Graphpad Software Inc, CA). For eclosion studies, three independent replicates are sufficient to define a genotype as rhythmic, weakly rhythmic or arrhythmic. For important genotypes or when an accurate estimate of periodicity is important (for example, for Fig. 8) N was always greater than 3.

Data availability

All relevant data are available from the authors upon request.

Additional information

How to cite this article: Selcho, M. et al. Central and peripheral clocks are coupled by a neuropeptide pathway in Drosophila. Nat. Commun. 8, 15563 doi: 10.1038/ncomms15563 (2017).

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

Takeda, N. & Maemura, K. Circadian clock and vascular disease. Hypertens. Res. 33, 645–651 (2010).
Google Scholar
Scheer, F. A., Hilton, M. F., Mantzoros, C. S. & Shea, S. A. Adverse metabolic and cardiovascular consequences of circadian misalignment. Proc. Natl Acad. Sci. USA 106, 4453–4458 (2009).
CAS Google Scholar
Tsang, A. H., Astiz, M., Friedrichs, M. & Oster, H. Endocrine regulation of circadian physiology. J. Endocrinol. 230, R1–R11 (2016).
CAS Google Scholar
Yoo, S. H. et al. PERIOD2::LUCIFERASE real-time reporting of circadian dynamics reveals persistent circadian oscillations in mouse peripheral tissues. Proc. Natl Acad. Sci. USA 101, 5339–5346 (2004).
CAS Google Scholar
Albrecht, U. Timing to perfection: the biology of central and peripheral circadian clocks. Neuron 74, 246–260 (2012).
CAS Google Scholar
Schibler, U. et al. Clock-talk: interactions between central and peripheral circadian oscillators in mammals. Cold Spring Harb. Symp. Quant. Biol. 80, 223–232 (2015).
Google Scholar
Buhr, E. D., Yoo, S. H. & Takahashi, J. S. Temperature as a universal resetting cue for mammalian circadian oscillators. Science 330, 379–385 (2010).
CAS Google Scholar
Ito, C. & Tomioka, K. Heterogeneity of the peripheral circadian systems in Drosophila melanogaster: a review. Front. Physiol. 7, 8 (2016).
Google Scholar
Krupp, J. J. et al. Pigment-dispersing factor modulates pheromone production in clock cells that influence mating in Drosophila. Neuron 79, 54–68 (2013).
CAS Google Scholar
Erion, R., King, A. N., Wu, G., Hogenesch, J. B. & Sehgal, A. Neural clocks and Neuropeptide F/Y regulate circadian gene expression in a peripheral metabolic tissue. Elife 5, e13552 (2016).
Google Scholar
Xu, K., Zheng, X. & Sehgal, A. Regulation of feeding and metabolism by neuronal and peripheral clocks in Drosophila. Cell Metab. 8, 289–300 (2008).
CAS Google Scholar
Emery, I. F., Noveral, J. M., Jamison, C. F. & Siwicki, K. K. Rhythms of Drosophila period gene expression in culture. Proc. Natl Acad. Sci. USA 94, 4092–4096 (1997).
CAS Google Scholar
Morioka, E., Matsumoto, A. & Ikeda, M. Neuronal influence on peripheral circadian oscillators in pupal Drosophila prothoracic glands. Nat. Commun. 3, 909 (2012).
Google Scholar
Vafopoulou, X. & Steel, C. G. H. The insect neuropeptide prothoracicotropic hormone is released with a daily rhythm: re-evaluation of its role in development. Proc. Natl Acad. Sci. USA 93, 3368–3372 (1996).
CAS Google Scholar
Saunders, D. S., Steel, C. G. H., Vafopoulou, X. & Lewis, R. D. in: Insect clocks Elsevier (2002).
Myers, E. M., Yu, J. & Sehgal, A. Circadian control of eclosion: interaction between a central and peripheral clock in Drosophila melanogaster. Curr. Biol. 13, 526–533 (2003).
CAS Google Scholar
Blanchardon, E. et al. Defining the role of Drosophila lateral neurons in the control of circadian rhythms in motor activity and eclosion by targeted genetic ablation and PERIOD protein overexpression. Eur. J. Neurosci. 13, 871–888 (2001).
CAS Google Scholar
Weiss, R., Bartok, O., Mezan, S., Malka, Y. & Kadener, S. Synergistic interactions between the molecular and neuronal circadian networks drive robust behavioral circadian rhythms in Drosophila melanogaster. PLoS Genet. 10, e1004252 (2014).
Google Scholar
Gong, Z. et al. Two pairs of neurons in the central brain control Drosophila innate light preference. Science 330, 499–502 (2010).
CAS Google Scholar
Siegmund, T. & Korge, G. Innervation of the ring gland of Drosophila melanogaster. J. Comp. Neurol. 431, 481–491 (2001).
CAS Google Scholar
McBrayer, Z. et al. Prothoracicotropic hormone regulates developmental timing and body size in Drosophila. Dev. Cell 13, 857–871 (2007).
CAS Google Scholar
Johard, H. A. et al. Peptidergic clock neurons in Drosophila: ion transport peptide and short neuropeptide F in subsets of dorsal and ventral lateral neurons. J. Comp. Neurol. 516, 59–73 (2009).
CAS Google Scholar
Rewitz, K. F., Yamanaka, N., Gilbert, L. I. & O’Connor, M. B. The insect neuropeptide PTTH activates receptor tyrosine kinase torso to initiate metamorphosis. Science 326, 1403–1405 (2009).
CAS Google Scholar
Hermann-Luibl, C. & Helfrich-Förster, C. Clock network in Drosophila. Curr. Opin. Insect Sci. 7, 65–70 (2015).
Google Scholar
Helfrich-Forster, C. From neurogenetic studies in the fly brain to a concept in circadian biology. J. Neurogenet. 28, 329–347 (2014).
Google Scholar
Shafer, O. T. & Yao, Z. Pigment-dispersing factor signaling and circadian rhythms in insect locomotor activity. Curr. Opin. Insect Sci. 1, 73–80 (2014).
Google Scholar
Lin, Y., Stormo, G. D. & Taghert, P. H. The neuropeptide pigment-dispersing factor coordinates pacemaker interactions in the Drosophila circadian system. J. Neurosci. 24, 7951–7957 (2004).
CAS Google Scholar
Yao, Z. & Shafer, O. T. The Drosophila circadian clock is a variably coupled network of multiple peptidergic units. Science 343, 1516–1520 (2014).
CAS Google Scholar
Di Cara, F. & King-Jones, K. How clocks and hormones act in concert to control the timing of insect development. Curr. Top. Dev. Biol. 105, 1–36 (2013).
CAS Google Scholar
Truman, J. W., Roudntree, D. B., Reiss, S. E. & Schwartz, L. M. Ecdysteroids regulate the release and action of eclosion hormone in the tobacco hornworm, Manduca sexta (L.). J. Insect Physiol. 29, 895–900 (1983).
CAS Google Scholar
Steel, C. G. H. & Ampleford, E. J. in: Photoperiodic regulation of insect and molluscan hormones eds Porter R., Collins G. M. Ch. 10 Pitman (1984).
Hewes, R. S. & Taghert, P. H. Neuropeptides and neuropeptide receptors in the Drosophila melanogaster genome. Genome Res. 11, 1126–1142 (2001).
CAS Google Scholar
Shafer, O. T. et al. Widespread receptivity to neuropeptide PDF throughout the neuronal circadian clock network of Drosophila revealed by real-time cyclic AMP imaging. Neuron 58, 223–237 (2008).
CAS Google Scholar
Vecsey, C. G., Pirez, N. & Griffith, L. C. The Drosophila neuropeptides PDF and sNPF have opposing electrophysiological and molecular effects on central neurons. J. Neurophysiol. 111, 1033–1045 (2014).
CAS Google Scholar
Renn, S. C. P., Park, J. H., Rosbash, M., Hall, J. C. & Taghert, P. H. A pdf neuropeptide gene mutation and ablation of PDF neurons each cause severe abnormalities of behavioral circadian rhythms in Drosophila. Cell 99, 781–802 (1999).
Google Scholar
Vafopoulou, X. & Steel, C. G. Circadian regulation of synthesis of ecdysteroids by prothoracic glands of the insect Rhodnius prolixus: evidence of a dual oscillator system. Gen. Comp. Endocrinol. 83, 27–34 (1991).
CAS Google Scholar
Vafopoulou, X. & Steel, C. G. H. A photosensitive circadian oscillator in an insect endocrine gland: photic induction of rhythmic steroidogenesis in vitro. J. Comp. Physiol. 182, 343–349 (1998).
Google Scholar
Belvin, M. P., Zhou, H. & Yin, J. C. The Drosophila dCREB2 gene affects the circadian clock. Neuron 22, 777–787 (1999).
CAS Google Scholar
Kaneko, M. & Hall, J. C. Neuroanatomy of cells expressing clock genes in Drosophila: transgenic manipulation of the period and timeless genes to mark the perikarya of circadian pacemaker neurons and their projections. J. Comp. Neurol. 422, 66–94 (2000).
CAS Google Scholar
Tanoue, S., Krishnan, P., Krishnan, B., Dryer, S. E. & Hardin, P. E. Circadian clocks in antennal neurons are necessary and sufficient for olfaction rhythms in Drosophila. Curr. Biol. 14, 638–649 (2004).
CAS Google Scholar
Di Cara, F. & King-Jones, K. The circadian clock is a key driver of steroid hormone production in Drosophila. Curr. Biol. 26, 2469–2477 (2016).
CAS Google Scholar
Pittendrigh, C. S. & Bruce, V. G. Daily rhythms as coupled oscillator systems and their relation to thermoperiodism. In Photoperiodism And Related Phenomena In Plants And Animals ed. Withrow R. B. 475–506American Association for the Advancement of Science (1959).
Liang, X., Holy, T. E. & Taghert, P. H. Synchronous Drosophila circadian pacemakers display nonsynchronous Ca²⁺ rhythms in vivo. Science 351, 976–981 (2016).
CAS Google Scholar
Vafopoulou, X., Steel, C. G. & Terry, K. L. Neuroanatomical relations of prothoracicotropic hormone neurons with the circadian timekeeping system in the brain of larval and adult Rhodnius prolixus (Hemiptera). J. Comp. Neurol. 503, 511–524 (2007).
CAS Google Scholar
Sauman, I. & Reppert, S. M. Circadian clock neurons in the silkmoth Antheraea pernyi: novel mechanisms of period protein regulation. Neuron 17, 889–900 (1996).
CAS Google Scholar
Zavodska, R., Sauman, I. & Sehnal, F. Distribution of PER protein, pigment-dispersing hormone, prothoracicotropic hormone, and eclosion hormone in the cephalic nervous system of insects. J. Biol. Rhythms 18, 106–122 (2003).
CAS Google Scholar
Park, J. H. et al. Differential regulation of circadian pacemaker output by separate clock genes in Drosophila. Proc. Natl Acad. Sci. USA 97, 3608–3613 (2000).
CAS Google Scholar
Qiu, J. & Hardin, P. E. Developmental state and the circadian clock interact to influence the timing of eclosion in Drosophila melanogaster. J. Biol. Rhythms 11, 75–86 (1996).
CAS Google Scholar
Ampleford, E. J. & Steel, C. G. Circadian control of a daily rhythm in hemolymph ecdysteroid titer in the insect Rhodnius prolixus (Hemiptera). Gen. Comp. Endocrinol. 59, 453–459 (1985).
CAS Google Scholar
Truman, J. W. The preparatory behavior rhythm of the moth Manduca sexta: an ecdysteroid-triggered circadian rhythm that is independent of the brain. J. Comp. Physiol. 155, 521–528 (1984).
Google Scholar
Handler, A. M. Ecdysteroid titers during pupal and adult development in Drosophila melanogaster. Dev. Biol. 93, 73–82 (1982).
CAS Google Scholar
Bainbridge, S. P. & Bownes, M. Ecdysteroid titers during Drosophila metamorphosis. J. Insect Biochem. 18, 185–197 (1988).
CAS Google Scholar
Ampleford, E. J. & Steel, C. G. H. Circadian control of ecdysis in Rhodnius prolixus (Hemiptera). J. Comp. Physiol. 147, 281–286 (1982).
Google Scholar
Chen, W. et al. Regulation of Drosophila circadian rhythms by miRNA let-7 is mediated by a regulatory cycle. Nat. Commun. 5, 5549 (2014).
CAS Google Scholar
Yamanaka, N., Rewitz, K. F. & O’Connor, M. B. Ecdysone control of developmental transitions: lessons from Drosophila research. Annu. Rev. Entomol. 58, 497–516 (2013).
CAS Google Scholar
Kumar, S. et al. An ecdysone-responsive nuclear receptor regulates circadian rhythms in Drosophila. Nat. Commun. 5, 5697 (2014).
CAS Google Scholar
Jaumouille, E., Machado Almeida, P., Stahli, P., Koch, R. & Nagoshi, E. Transcriptional regulation via nuclear receptor crosstalk required for the Drosophila circadian clock. Curr. Biol. 25, 1502–1508 (2015).
CAS Google Scholar
Hardin, P. E. Transcription regulation within the circadian clock: the E-box and beyond. J. Biol. Rhythms 19, 348–360 (2004).
CAS Google Scholar
Vosko, A. M., Schroeder, A., Loh, D. H. & Colwell, C. S. Vasoactive intestinal peptide and the mammalian circadian system. Gen. Comp. Endocrinol. 152, 165–175 (2007).
CAS Google Scholar
Jékely, G. Global view of the evolution and diversity of metazoan neuropeptide signaling. Proc. Natl Acad. Sci. USA 110, 8702–8707 (2013).
Google Scholar
Dodd, G. T. & Luckman, S. M. Physiological roles of GPR10 and PrRP signaling. Front. Endocrinol. (Lausanne) 4, 20 (2013).
Google Scholar
Barolo, S., Castro, B. & Posakony, J. W. New Drosophila transgenic reporters: insulated P-element vectors expressing fast-maturing RFP. Biotechniques 36, 436–442 (2004).
CAS Google Scholar
Dawydow, A. et al. Channelrhodopsin-2-XXL, a powerful optogenetic tool for low-light applications. Proc. Natl Acad. Sci. USA 111, 13972–13977 (2014).
CAS Google Scholar
Diegelmann, S., Bate, M. & Landgraf, M. Gateway cloning vectors for the LexA-based binary expression system in Drosophila. Fly (Austin) 2, 236–239 (2008).
Google Scholar
Feng, Y., Ueda, A. & Wu, C. F. A modified minimal hemolymph-like solution, HL3.1, for physiological recordings at the neuromuscular junctions of normal and mutant Drosophila larvae. J. Neurogenet. 18, 377–402 (2004).
CAS Google Scholar
Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).
CAS Google Scholar
Levine, J. D., Funes, P., Dowse, H. B. & Hall, J. C. Signal analysis of behavioral and molecular cycles. BMC Neurosci. 3, 1 (2002).
Google Scholar
Sundram, V. et al. Cellular requirements for LARK in the Drosophila circadian system. J. Biol. Rhythms 27, 183–195 (2012).
CAS Google Scholar
Cyran, S. A. et al. The double-time protein kinase regulates the subcellular localization of the Drosophila clock protein period. J. Neurosci. 25, 5430–5437 (2005).
CAS Google Scholar
Chen, T. W. et al. Ultrasensitive fluorescent proteins for imaging neuronal activity. Nature 499, 295–300 (2013).
CAS Google Scholar

Download references

Acknowledgements

We thank the Bloomington stock centre, the Vienna Drosophila resource centre and the following colleagues for flies: Orie Shafer, Naoki Yamanaka and Michael O’Connor, Jerry Yin, Dick Nässel, Todd Holmes, Paul Taghert and Paul Hardin. We thank Michael O’Connor for phm- and ptth-containing DNA clones, Tobias Langenhan, Robert Kittel and Georg Nagel for a ChR2-XXL-containing DNA clone, and Benjamin White for a gal80-containing DNA clone; Gertrud Gramlich and Susanne Klühspies for excellent technical help. We thank the Developmental Studies Hybridoma Bank for anti-PDF antibodies. We thank Raúl Vallejos for help with construction of phm-gal80. We appreciate comments on the manuscript from Charlotte Förster and Paul Taghert, whom we also thank for suggestions during the course of this work. This research was supported by CONICYT FONDEQUIP grant EQM 120031 (to J.E.), FONDECYT grant 1141278 (to J.E.); Office of Naval Research Global N62909-13-1-N251 and N62909-14-1-N205 (to J.E.) and Centro Interdisciplinario de Neurociencia de Valparaíso (CINV) Millennium Institute grant P09-022-F, supported by the Millennium Scientific Initiative of the Ministerio de Economía, Fomento y Turismo (to J.E.); FONDECYT postdoctoral grant 3090019 (to C.M.); FONDECYT postdoctoral grant 3160177 (to A.P.-M.); the German Research Foundation (Deutsche Forschungsgemeinschaft DFG), collaborative research centre SFB 1047 ‘Insect timing’, project B2 (to C.W.) and the Alexander von Humboldt foundation (to C.I.).

Author information

Carola Millán
Present address: Present address: Facultad de Artes Liberales y Facultad de Ingeniería y Ciencias, Universidad Adolfo Ibañez, Viña del Mar 2580760, Chile,
Angelina Palacios-Muñoz
Present address: Present address: Departamento de Psiquiatría, Escuela de Medicina, Centro Interdisciplinario de Neurociencia, Pontificia Universidad Católica de Chile, Diagonal Paraguay 362, Santiago 8330077, Chile,
Chihiro Ito
Present address: Present address: Graduate School of Science, Kyoto University, Sakyo, Kyoto 606-8502, Japan,
Mareike Selcho, Carola Millán and Angelina Palacios-Muñoz: These authors contributed equally to this work.

Authors and Affiliations

Neurobiology and Genetics, Theodor-Boveri-Institute, Biocenter, University of Würzburg, Am Hubland, Würzburg, 97074, Germany
Mareike Selcho, Franziska Ruf, Jiangtian Chen, Gregor Bergmann, Chihiro Ito & Christian Wegener
Centro Interdisciplinario de Neurociencia de Valparaíso, Facultad de Ciencias, Universidad de Valparaiso, Gran Bretaña 1111, Valparaiso, 2360102, Chile
Carola Millán, Angelina Palacios-Muñoz, Lilian Ubillo, Valeria Silva & John Ewer

Authors

Mareike Selcho
View author publications
You can also search for this author in PubMed Google Scholar
Carola Millán
View author publications
You can also search for this author in PubMed Google Scholar
Angelina Palacios-Muñoz
View author publications
You can also search for this author in PubMed Google Scholar
Franziska Ruf
View author publications
You can also search for this author in PubMed Google Scholar
Lilian Ubillo
View author publications
You can also search for this author in PubMed Google Scholar
Jiangtian Chen
View author publications
You can also search for this author in PubMed Google Scholar
Gregor Bergmann
View author publications
You can also search for this author in PubMed Google Scholar
Chihiro Ito
View author publications
You can also search for this author in PubMed Google Scholar
Valeria Silva
View author publications
You can also search for this author in PubMed Google Scholar
Christian Wegener
View author publications
You can also search for this author in PubMed Google Scholar
John Ewer
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

M.S., C.M., A.P.-M., F.R., L.U., J.C., G.B., C.I., V.S., C.W. and J.E. performed the experiments. M.S., C.M., A.P.-M., F.R., C.W. and J.E. analysed the data. J.E. and C.W. wrote the paper, with feedback from all authors. All authors edited and approved the manuscript.

Corresponding authors

Correspondence to Christian Wegener or John Ewer.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Supplementary information

Supplementary Information

Supplementary Figures, Supplementary Table, Supplementary Methods and Supplementary References. (PDF 5039 kb)

Supplementary Movie 1

Changes in GCaMP fluorescence induced by sNPF in PTTH neurons. Bath application of HL3.1 containing 0.1% DMSO (+control; after 300 s) and sNPF dissolved in HL3.1 containing 0.1% DMSO (+sNPF; after 1200 s) on a pharate adult brain expressing GCaMP6 in PTTH neurons. In contrast to the control stimulation, the challenge with sNPF rapidly reduced GCaMP6 fluorescence and abolished spontaneous calcium oscillations in the PTTH neurons. Total duration of imaging experiment = 1802s (MOV 187 kb)

Supplementary Movie 2

Changes in GCaMP fluorescence induced by light activation of sLNvs using the LexA/LexAop expression system. Imaging of calcium level changes in PTTH neurons expressing GCaMP6 caused by light activation of pdf neurons expressing ChR2-XXL (accomplished using pdf-LexA + LexAop-ChR2- XXL). Light pulses of an intensity of 7530 μW cm-2 (first light pulse after 300s) and 14280 μW cm-2 (second light pulse after 780s) at 475nm, respectively, caused a reduction in GCaMP6 fluorescence amplitude and spontaneous calcium oscillations in PTTH neurons. Total duration of imaging = 1202s. (MOV 199 kb)

Supplementary Movie 3

No changes in GCaMP fluorescence can be induced by light pulses of 475nm in the absence of pdf-LexA driver. Imaging calcium levels in PTTH neurons expressing GCaMP6 while applying light pulses to a LexAop-ChR2-XXLbearing pharate brain lacking pdf-LexA driver. Light pulses of an intensity of 7530 μW cm-2 (first light pulse after 300s) and 14280 μW cm-2 (second light pulse after 780s) at 475nm, respectively (as used for Supplementary Movie 2), did not elicit a significant reduction in GCaMP6 fluorescence in PTTH neurons. Total duration of imaging = 1202s. (MOV 185 kb)

Peer Review File (PDF 336 kb)

Rights and permissions

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Reprints and permissions

About this article

Cite this article

Selcho, M., Millán, C., Palacios-Muñoz, A. et al. Central and peripheral clocks are coupled by a neuropeptide pathway in Drosophila. Nat Commun 8, 15563 (2017). https://doi.org/10.1038/ncomms15563

Download citation

Received: 30 September 2016
Accepted: 10 April 2017
Published: 30 May 2017
DOI: https://doi.org/10.1038/ncomms15563

This article is cited by

Molecular mechanisms and physiological importance of circadian rhythms
- Alina Patke
- Michael W. Young
- Sofia Axelrod
Nature Reviews Molecular Cell Biology (2020)
Hormonal axes in Drosophila: regulation of hormone release and multiplicity of actions
- Dick R. Nässel
- Meet Zandawala
Cell and Tissue Research (2020)
Metabolism and growth adaptation to environmental conditions in Drosophila
- Takashi Koyama
- Michael J. Texada
- Kim Rewitz
Cellular and Molecular Life Sciences (2020)
The circadian clock uses different environmental time cues to synchronize emergence and locomotion of the solitary bee Osmia bicornis
- Katharina Beer
- Mariela Schenk
- Andrea Holzschuh
Scientific Reports (2019)
A Neuronal Pathway that Commands Deceleration in Drosophila Larval Light-Avoidance
- Caixia Gong
- Zhenhuan Ouyang
- Zhefeng Gong
Neuroscience Bulletin (2019)

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.