Abstract
In Drosophila, molecular clocks control circadian rhythmic behavior through a network of ~150 pacemaker neurons. To explain how the network’s neuronal properties encode time, we performed brain-wide calcium imaging of groups of pacemaker neurons in vivo for 24 hours. Pacemakers exhibited daily rhythmic changes in intracellular Ca2+ that were entrained by environmental cues and timed by molecular clocks. However, these rhythms were not synchronous, as each group exhibited its own phase of activation. Ca2+ rhythms displayed by pacemaker groups that were associated with the morning or evening locomotor activities occurred ~4 hours before their respective behaviors. Loss of receptor for neuropeptide PDF promoted synchrony of Ca2+ waves. Thus neuropeptide modulation is required to sequentially time outputs from a network of synchronous molecular pacemakers.
Circadian clocks help animals adapt their physiology and behavior to local time. The clocks require a highly-conserved set of genes and proteins (1) operating through molecular feedback loops to generate robust rhythms that produce a 24 hour timing signal (2). These clocks are expressed by pacemaker neurons which themselves are assembled into an interactive network (3). Through network encoding and cellular interactions, pacemaker neurons in the suprachiasmatic nucleus (SCN) of the mammalian brain coordinate many circadian rhythmic outputs (4–7). To study how molecular clocks couple to network encoding, and how network encoding relates to specific behavioral outputs, we conducted an in vivo brain-wide analysis of the circadian pacemaker network in Drosophila across an entire 24 hour day.
This network contains ~150 synchronized pacemaker neurons (8,9) (Fig S1) yet it produces biphasic behavioral outputs – the morning and evening peaks of locomotor activity (Fig. 1A). The molecular clocks are entrained by environmental cues and by network interactions, for example by release of the neuropeptide pigment-dispersing factor (PDF) (10). Genetic mosaic studies indicate that morning and evening peaks of locomotor activity are controlled by distinct pacemaker groups (11–14) (Fig. 1B). We reasoned that: (i) synchronous signals from the pacemaker network might diverge in downstream circuits or (ii) the pacemaker network might itself generate different timing signals to downstream circuits. To explore this, we developed an in vivo imaging assay to monitor the intracellular Ca2+ concentration ([Ca2+]i), in pacemaker cell bodies over a ~24 hour period (Fig. 1C and methods). Intracellular Ca2+ dynamics directly reflect amounts of neuronal activity and Ca2+ imaging allows monitoring activity across neuronal ensembles (15).
We used objective-coupled planar illumination (OCPI) microscopy (16), which illuminates an entire focal plane simultaneously; this method accelerates volumetric imaging and reduces phototoxicity caused by repeated illumination. To permit imaging, we made cranial holes in the heads of living tim > GCaMP6s flies, which express the Ca2+ sensor GCaMP6s in all pacemaker neurons (15)(Fig. 1C), and monitored [Ca2+]i in five of the eight major pacemaker groups: small Lateral Neuron ventral (s-LNv), large Lateral Neuron ventral (l-LNv), Lateral Neuron dorsal (LNd), Dorsal Neuron 1 (DN1) and Dorsal Neuron 3 (DN3) (Fig. 1D). Each of the five groups displayed a prominent peak of [Ca2+]i during the 24 hour recording sessions and each peak had distinct timing (Fig. 1E). To test whether these Ca2+ dynamics reflected intrinsic circadian patterning, we began 24 hour recording sessions at different Zeitgeber times (ZT). In all such recordings, the peaks of Ca2+ activity reflected the pacemaker group identity, not the time at which recordings began (Fig. S2). Thus, Ca2+ varies in pacemaker neurons systematically as a function of the time of day based on biologically-defined rules of entrainment (Fig. 1F). Three Drosophila pacemaker groups (l-LNv, s-LNv and DN1p) show morning peaks of electrical activity when measured in acutely-dissected brains (17–19). Thus the phases of Ca2+ rhythms we observed are roughly coincident with, or slightly anticipate their peak electrical activity. Ca2+ rhythms produced by different pacemaker groups were similar in amplitude (Fig. 1F), yet different in waveform (Fig. S3) and phase (Fig. 1G). We confirmed our results using the FRET-based cameleon2.1 imaging method (20), for which the ratio of fluorescence from the Yellow Fluorescence Protein to that of the Cyan Fluorescent protein reflects [Ca2+]i, independent of the abundance of the sensor. [Ca2+]i estimated by this assay exhibited ~2 fold circadian variation with temporal patterns consistent with those obtained with GCaMP6s (Fig. S4). In addition, the [Ca2+]i rhythms did not result from experimental activation of CRYPTOCHROME (Fig. S5). These observations demonstrate that the Drosophila pacemaker network exhibits stereotyped and diverse spatiotemporal patterns of Ca2+ activity during the course of the 24 hour day.
We compared this diversity of Ca2+ activity patterns with the diversity of pacemaker functions. Pacemaker functions have been revealed by genetic mosaic experiments, as exemplified by the categorization of M (morning) and E (evening) cells (11–14). These autonomous oscillators primarily drive the morning and evening peaks of locomotor activity, respectively. The phase relationships (ΨM/E) between the peaks of Ca2+ rhythms in canonical M (s-LNv) and E (LNd) cells and the two daily peaks of locomotor activity were highly correlated (Fig 1H–J). In M cells, the Ca2+ rhythm peaked towards the end of the subjective night, whereas in E cells it peaked towards the end of the subjective day (Fig. 1F). The ~10 hour phase difference between Ca2+ rhythms in M and E pacemakers is similar to the ~10 hour phase difference between the morning and evening behavioral peaks (Fig. 1J). Thus, M and E pacemaker Ca2+ activations precede by ~4 hours the behavioral outputs they control. The distinct phases of Ca2+ rhythms in the other three pacemaker groups (l-LNv, DN1 and DN3) may also involve the morning and evening behavioral peaks, or may regulate other, distinct circadian-gated outputs.
The E category of pacemakers includes the LNd as well as the 5th s-LNv (11–14). However, the LNd is a heterogeneous group of neurons that exhibits diverse entrainment properties (21); likewise, the critical 5th s-LNv could not be unambiguously identified with tim-GAL4. To better understand the function of these subsets of E pacemakers, we used a PDF receptor (pdfr)(B) GAL4 driver (22); this driver restricts GCaMP6s expression to s-LNv, to three of six LNd and to the single 5th s-LNv (Fig. 2A). The three PDFR-expressing LNd and the 5th s-LNv displayed the same basic E cell pattern of Ca2+ activity – a peak in late subjective day, suggesting they both function as circadian pacemakers (Fig. 2B). Thus, the phase difference between Ca2+ rhythms in these PDFR-expressing M and E cell groups again matched that between the morning and evening behavioral activity peaks (Fig. 2, C through F).
M and E cell categorization supports a classic model of seasonal adaptation (23) wherein a two-oscillator system responds differentially to light, and so can track dawn and dusk independently. For example, under long day conditions, light accelerates a “morning” clock and decelerates an “evening” clock. If these Ca2+ rhythms are critical output features of M and E cells, their properties may also reflect differences in photoperiodic entrainment. We entrained flies under either long day (16 hour light: 8 hour dark) or short day (8 hour light: 16 hour dark) conditions. In these flies, the phase difference between the morning and evening behavioral activity peaks tracked dawn and dusk (Fig S6). Likewise, the phases of pacemaker Ca2+ rhythms were also tracked dawn and dusk (Fig. 3, A and B, E and F, and Fig. S7). Regardless of the photoperiodic schedule, the s-LNv (M cells) always peaked around dawn, while the LNd (E cells) always peaked before dusk (Fig. 3, B through D and F through H). Thus, Ca2+ activity patterns within the pacemaker network correspond to the circadian temporal landmarks of dawn and dusk.
We tested whether changes in the molecular oscillator would alter the patterns of [Ca2+]i. We used different alleles of the gene period, which encodes a state variable of the Drosophila circadian clock. In per01 (null) mutant flies, which lack inherent rhythmicity in their molecular oscillators and in free-running behavior (24,25) (Fig. S8), all clock neurons showed reduced rhythmicity in [Ca2+]i. The amplitudes of Ca2+ fluctuations were reduced by half (Fig. 3, I and K) and coherence was lost within groups (Rayleigh test, p>0.5; Fig. 3J and Table S1). In fast-running perS mutant flies, which have ~19 h free-running period (24,25) (Fig. S9), the Ca2+ rhythms were phase-shifted (Fig. 3, L and M, and Fig. S10) consonant with the direction of behavioral phase shifts (Fig. 3N and Fig. S9). The phase difference between Ca2+ rhythm peaks in perS M and E pacemakers still matched the phase difference between M and E behavioral peaks (Fig 3, N and O). Thus, molecular clocks determine the pace of Ca2+ rhythms in the pacemaker network.
To explore how synchronous molecular clocks can have staggered phases of Ca2+ activation by many hours, we tested whether PDF, which mediates interactions between pacemakers, was required. Flies bearing the severely hypomorphic han 5304 mutation of the PDF receptor show unimodal or arrhythmic behavior patterns under DD (26) (Fig. S11 and Table S2). In these flies, we found that the Ca2+ rhythms in M cells (s-LNv and DN1) were unaffected, but they were phase-shifted in LNd and DN3, such that these two groups now produced Ca2+ rhythms around dawn, roughly in synchrony with M cells (Fig. 4, A and B). The phase of l-LNv did not change, consistent with the absence of PDF sensitivity by this pacemaker group (27). The phase shifts in LNd and DN3 were fully restored by the expression of complete pdfr from a BAC transgene (Fig. 4, C through E “Rescue 1”, and Fig. S11). Thus PDF, which promotes synchronization of molecular clocks under constant conditions (10,28), is also needed to properly stagger their Ca2+ activity phases across the day. Whether the phases of the l-LNv and DN3 are set by other intercellular signals remains to be determined.
We further examined the pdfr mutant phenotype at higher cellular resolution (pdfr(B)> GCaMP6s; Fig. 2A). The PDFR-expressing E cell groups (the 3 PDFR-expressing LNd and the 5th s-LNv) displayed phase shifts similar to those of the entire LNd group (Fig. 4, F and G). When pdfr expression was restored just in these subsets of pacemaker neurons (with GAL4-UAS), both behavior and Ca2+ rhythms were partially restored (Fig. 4, H through J, “Rescue 2”, Fig. S11, and Table S2). The phase of the 5th s-LNv was fully restored, suggesting PDFR signaling is required for cell-autonomously setting of Ca2+ phase in this pacemaker group. However in “Rescue 2”, a single LNd typically remained active around dawn whereas two LNd were active around dusk (Fig. S12), which we interpret as a partial restoration or a non-autonomous phase-setting mechanism for LNd.
Our results show that molecular clocks drive circadian rhythms in the neural activity of pacemakers. Temporally patterned neural activity encodes different temporal landmarks of the day in a manner that reflects the different functions of the pacemaker groups. The homogeneous molecular clock produces sequential activity peaks by a mechanism dependent upon PDFR signaling. By generating diverse phases of neural activity in different pacemaker groups, the circadian clock greatly expands its functional output.
Supplementary Material
Acknowledgments
We thank W. Li and D. Oakley for technical assistance, D. Dolezel (CAS, Czech Republic) for technical advice, the Holy and Taghert laboratories for advice, E. Herzog (Washington Univ.) for comments on the manuscript, the Bloomington Stock Center, Janelia Research Center, J. Kim, and M. Affolter for sharing fly stocks, and M. Rosbash for anti-PER antibodies.
Funding: supported by the Washington University McDonnell Center for Cellular and Molecular Neurobiology and by grants from the National Institutes of Health (R01 NS068409 and R01 DP1 DA035081 to TEH) and (NIMH 2 R01 MH067122-11 to PHT).
Footnotes
Author contributions: XL, TEH, and PHT conceived the experiments; XL performed and analyzed all experiments; XL, TEH, and PHT wrote the manuscript.
Competing interests: TEH has a patent on OCPI microscopy.
Data and materials study: Materials are available upon request.
References and Notes
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