Abstract
Circadian (approximately daily) rhythms pervade mammalian behavior. They are generated by cell-autonomous, transcriptional/translational feedback loops (TTFLs), active in all tissues. This distributed clock network is coordinated by the principal circadian pacemaker, the hypothalamic suprachiasmatic nucleus (SCN). Its robust and accurate time-keeping arises from circuit-level interactions that bind its individual cellular clocks into a coherent time-keeper. Cells that express the neuropeptide vasoactive intestinal peptide (VIP) mediate retinal entrainment of the SCN; and in the absence of VIP, or its cognate receptor VPAC2, circadian behavior is compromised because SCN cells cannot synchronize. The contributions to pace-making of other cell types, including VPAC2-expressing target cells of VIP, are, however, not understood. We therefore used intersectional genetics to manipulate the cell-autonomous TTFLs of VPAC2-expressing cells. Measuring circadian behavioral and SCN rhythmicity in these temporally chimeric male mice thus enabled us to determine the contribution of VPAC2-expressing cells (∼35% of SCN cells) to SCN time-keeping. Lengthening of the intrinsic TTFL period of VPAC2 cells by deletion of the CK1εTau allele concomitantly lengthened the period of circadian behavioral rhythms. It also increased the variability of the circadian period of bioluminescent TTFL rhythms in SCN slices recorded ex vivo. Abrogation of circadian competence in VPAC2 cells by deletion of Bmal1 severely disrupted circadian behavioral rhythms and compromised TTFL time-keeping in the corresponding SCN slices. Thus, VPAC2-expressing cells are a distinct, functionally powerful subset of the SCN circuit, contributing to computation of ensemble period and maintenance of circadian robustness. These findings extend our understanding of SCN circuit topology.
Significance Statement
Circadian (approximately daily) rhythms govern our lives. They are coordinated by the brain's central clock, the suprachiasmatic nucleus (SCN) of the hypothalamus. The SCN works so well because of powerful interactions between its ∼20,000 cells. But SCN cells are very heterogeneous, and the specific time-keeping contributions of particular subgroups are unknown. Using mice, we genetically manipulated the clock of cells expressing VPAC2, the receptor for an important SCN neuropeptide: VIP. Slowing down VPAC2 cellular clocks slowed down mouse behavioral rhythms. Stopping the clock of VPAC2 cells disrupted circadian behavior and SCN rhythms. These findings extend the understanding of SCN circuitry by showing that VPAC2-expressing cells are a distinct, functionally powerful component of the SCN circuit, governing its period and robustness.
Introduction
Mammalian physiology and behavior are rhythmic and adaptively aligned with the environmental light-dark cycle by the suprachiasmatic nucleus (SCN) of the hypothalamus, which is entrained by direct retinal innervation (Reppert and Weaver, 2002). Within the 20,000 “clock” cells of the SCN, and indeed most cells across the body, cell-autonomous circadian timekeeping is maintained by a transcriptional/translational feedback loop (TTFL) in which CLOCK:BMAL1 heterodimers activate transcription of Period1/2 and Cryptochrome1/2 genes, the protein products of which (PER1/2 and CRY1/2) feedback to repress their own transcription. This cycle takes ∼24 h to complete, although SCN period can be modified considerably by genetic or pharmacological manipulation (Patton et al., 2016), such as the Tau mutation in casein kinase 1ε (CK1εTau), which shortens it to 20 h in homozygous mice (Meng et al., 2008). More dramatically, mice lacking BMAL1 (Bmal1−/−), the only nonredundant TTFL component, are arrhythmic at cellular and behavioral levels (Bunger et al., 2000): effects that are reversible by transgenic rescue (McDearmon et al., 2006).
Beyond the cell-autonomous clock, SCN pace-making is a product of circuit-level interactions that bind the circadian cycles of the individual cells. These interactions confer onto the network its essential emergent properties of robust, high-amplitude and synchronized cellular oscillations, with established ensemble phase and period (Hastings et al., 2018). Indeed, the power of intercellular coupling can partially compensate for various genetic losses within the TTFL (Liu et al., 2007; Ko et al., 2010). Although GABA is the principal neurotransmitter of the SCN, the strongest evidence for neurochemical mediation of intercellular coupling is not for GABAergic signaling but, rather, for a hierarchy of neuropeptides (Maywood et al., 2011). Across the SCN, discrete populations of cells are characterized by their expression of, inter alia, vasoactive intestinal peptide (VIP), arginine vasopressin (AVP), gastrin-releasing peptide (GRP), prokineticin2 (Prok2), and their cognate receptors (Abrahamson and Moore, 2001; Antle and Silver, 2005; Park et al., 2016). These cell types show a highly stereotypical spatial organization within the SCN, with VIP and GRP cells in the retinorecipient “core,” and AVP and Prok2 cells in its surrounding “shell.” Mice or SCN slices deficient in intercellular communication mediated by VIP and its receptor VPAC2 (encoded by the Vipr2 gene), display weakened rhythmicity, fewer rhythmic neurons, and damped and desynchronized cellular oscillations (Harmar et al., 2002; Colwell et al., 2003; Aton et al., 2005; Maywood et al., 2006; Ciarleglio et al., 2009). Moreover, VIP cells receive the retinal information that entrains the SCN to solar time (Abrahamson and Moore, 2001; Jones et al., 2018; Mazuski et al., 2018). In turn, VIP acts via the VPAC2-expressing cells of the SCN shell to maintain steady-state circuit-level coherence and to reset ensemble phase in response to retinal input. It achieves this via a cascade of kinase-dependent signaling (including extracellular signal-regulated kinase (ERK)1/2 and its regulator, dual specificity phosphatase (DUSP)4) and consequent regulation of a broad transcriptional network (Hamnett et al., 2019). VIP is thereby able to control both cell-autonomous and circuit-level circadian oscillations within the SCN.
The VIP/VPAC2 axis is therefore a central element of SCN circuit topology. Although some functions of VIP cells are established, the functions of their target cells expressing VPAC2, which constitute the next step in the SCN synaptic circuitry, are not. Located in the SCN shell, they may mediate circadian output from the SCN, and/or they may contribute to the circuit-level computations that generate its emergent properties. To investigate this, we used transgenic mice in which VPAC2 cells express Cre recombinase (Patton et al., 2020). This allowed conditional manipulation of the cell-autonomous TTFL of VPAC2-expressing cells, altering their intrinsic period by deletion of Ck1εTau, or their circadian competence by deletion of Bmal1. By monitoring the consequences for behavior and SCN pace-making, we reveal that VPAC2-expressing cells are a distinct, functionally powerful subset of the SCN circuit, contributing to computation of ensemble period and maintenance of robustness. These findings extend our understanding of SCN circuit topology.
Materials and Methods
Animals
All animals were cared for in accordance with the UK Animals (Scientific Procedures) Act of 1986 with local ethical approval (LMB Animal Welfare and Ethical Review Body). VPAC2-Cre mice (Tg(Vipr2cre)KE2Gsat/Mmucd; RRID:MMRRC_034281-UCD) were purchased from GENSAT (Gene Expression in the Nervous System Atlas) project (Rockefeller University). These mice were subsequently crossed with either Ck1εTau/Tau (Meng et al., 2008) or Bmal1flx/flx mice (generated from The Jackson Laboratory, mouse stock #007668, RRID:IMSR_JAX:007668). Both the Ck1εTau/Tau and Bmal1flx/flx mice contain floxed exons that can be removed through Cre-mediated recombination. Because of VPAC2-Cre expression in developing spermatocytes (Usdin et al., 1994; Krempels et al., 1995), which is a known issue with some Cre driver lines (Luo et al., 2020), recombination occurred before fertilization, resulting in offspring containing one recombined allele in all cells, alongside the remaining floxed allele to be deleted only in somatic cells expressing VPAC2-Cre. These crosses, therefore, generated VPAC2-Cre/Ck1εTau/– and VPAC2-Cre/Bmal1flx/– mice. Heterozygote WT/heterozygote null mice for Ck1ε (Ck1εWT/–) and Bmal1 (Bmal1WT/–) were therefore used as controls. All mice were also crossed to PER2::LUCIFERASE knock-in mice (gift from Prof Joseph Takahashi, University of Texas Southwestern Medical Center) (Yoo et al., 2004) for visualization of circadian dynamics through bioluminescent recording, and R26R-EYFP mice (The Jackson Laboratory, stock #006148, RRID:IMSR_JAX:006148) to report Cre-mediated recombination and determine Bmal1 deletion efficiency (Srinivas et al., 2001). Finally, crossing dopamine 1A-receptor (Drd1a)-Cre mice (GENSAT, RRID:MMRRC_030779-UCD) with Bmal1flx/– mice generated Drd1a-Cre/Bmal1flx/– mice. This Cre line has previously been shown to have extensive expression in the SCN, covering 63% of SCN cells and colocalizing with 62% of AVP cells and 81% of VIP cells (Smyllie et al., 2016). The Drd1a-Cre population has also been shown as being capable of dictating period by crossing with Ck1εTau/Tau mice. Given its expression profile, it served here as a comparator control for Bmal1 deletion in VPAC2-Cre cells.
Mouse wheel-running behavior and analysis
Because the circadian behavior of adult female mice is modulated by the estrous cycle, and the estrous cycle is itself a product of SCN circadian timekeeping, this project used only male mice to avoid potential indirect effects on behavior arising from SCN-estrous-behavior interactions. Male mice were individually housed and kept in a ventilated stainless-steel cabinet with controlled lighting for the duration of behavioral monitoring. Their activity patterns were assessed using running wheels (ActiMetrics) alongside passive infrared movement detectors. Mice were typically entrained to a cycle of 12 h light (L, ∼200 lux) and 12 h dim red light (D, <10 lux) (12:12 LD) for at least 7 d to assess entrainment to 24 h rhythms, before being transferred to constant dim red light (DD) to investigate free-running period. Food and water were provided ad libitum. Wheel revolutions and general movement data were acquired and stored in 6 min bins. Data were analyzed using ClockLab version 6 (ActiMetrics; RRID:SCR_014309) with behavioral circadian period in different lighting conditions determined by χ2 periodogram. The emergence of the arrhythmic/disordered phenotype in Bmal1-deleted mice was determined by eye. The robustness of the rhythms of such mice was quantified using the relative amplitude (RA) nonparametric measure in ClockLab version 6 on the final 14 d of DD recording.
SCN organotypic slices: bioluminescent recordings and analysis
SCN organotypic slices and media formulations were prepared as described by Hastings et al. (2005). Briefly, brains were dissected from adult mice and placed into ice-cold dissection medium. SCN tissue was isolated from 300 µm slices prepared using a McIlwain Tissue Chopper (RRID:SCR_015798) and cultured on a Millicell filter membrane (Millipore, RRID:SCR_015799) in 1 ml culture medium. SCN slices acclimatized for 3-6 h at 37°C, 5% CO2, and were then transferred to 35 mm culture dishes containing 1.2 ml recording medium and sealed with glass coverslips, secured with silicon grease, for bioluminescent recordings. Slices were placed under photomultiplier tubes (PMTs; H9319-11 photon-counting head, Hamamatsu) in a light-tight incubator kept at 37°C for recording of bioluminescence. These recordings were analyzed to calculate circadian period, amplitude and RA error (RAE; a measure of the rhythm robustness) using the FFT-nonlinear least squares function in the BioDare2 software (Zielinski et al., 2014). A 24 h rolling average subtraction was performed on individual traces to account for variable baselines. The first 12 h of recordings was not included in the analysis to exclude potential artifacts arising from slice preparation. To track the progression of period change in Ck1εTau experiments, the time between successive PER2::LUCIFERASE peaks was determined.
Immunohistochemistry and image analysis
For histologic analysis, adult mice were killed rapidly by cervical dislocation, and the brains dissected and immediately postfixed in 10 ml 4% paraformaldehyde (PFA) (Alfa Aesar) in 0.1 m phosphate buffer (PB) for 4–5 h at room temperature, before being cryopreserved in 20% sucrose (Fisher Chemical) in phosphate buffered saline (PBS) at 4°C overnight. Coronal sections (40 µm) were taken using a freezing microtome (Anglia Scientific), incubated for 1 h at room temperature in 2% normal serum in PBS with 1% bovine serum albumin (BSA) and 0.3% Triton X-100, and then transferred to primary antisera incubation overnight at 4°C (for antisera details, see Table 1). Tissue was then incubated with appropriate secondary antibodies (1:500) for 1 h at room temperature. Sections were mounted onto slides and coverslipped using Vectashield Hardset mounting medium with DAPI (Vector Labs, RRID:AB_2336788).
Fluorescence imaging was conducted using 710 and 780 confocal microscopes (Carl Zeiss). Whole SCN sections were imaged using a 20× air objective (numerical aperture (NA) 0.5 or 0.8 on the 710 and 780 microscopes, respectively) while more detailed images (required for cell-counting analysis) were acquired with a 63× oil objective, NA 1.4, before subsequent automated tile-stitching was performed by the Carl Zeiss software (Zen 9 or 10). Counts of cells in SCN sections and determination of fluorescence intensity of SCN neuropeptides were performed in Fiji.
Experimental design and statistical analysis
Statistical tests and graphical representation of data (mean ± SEM) were performed using Prism 6 and 7 software (GraphPad). Statistical comparisons were performed using one- or two-way ANOVA with Tukey's multiple comparisons correction, unless otherwise stated. Kruskal-Wallis tests were performed when comparing RA scores between genotypes followed by Dunn's correction for multiple comparisons. Correlation was determined using Pearson's correlation coefficient. Mice and SCN slices were assigned randomly, without regard to genotype, to activity-recording cages and to photomultiplier recording systems, respectively. For both mice in vivo and SCN slices ex vivo, procedures were performed simultaneously on all genotypic groups within an experimental cohort.
Results
VPAC2 cells determine the period of the in vivo circadian rhythm of wheel-running behavior
The period-setting potential of VPAC2 cells was examined by generating temporally chimeric mice using intersectional genetics to delete the Tau allele of the Ck1ε gene in VPAC2-expressing cells. Ck1εTau is a semidominant point mutation that causes a gain of function for the CK1ε protein that shortens the WT behavioral period by 2 h per copy (heterozygote: 22 h period; homozygote: 20 h) (Meng et al., 2008). In contrast, mice lacking CK1ε (Ck1ε−/−), following Cre-mediated excision of a floxed exon carrying the mutation, have a 24 h period, whereas Ck1εTau/– exhibit a 22 h period. Hence, in the VPAC2-Cre/Ck1εTau/– mouse, VPAC2-Cre cells would have a period of 24 h (being Ck1ε−/−), whereas the rest of the SCN and other tissues would retain a period of 22 h (Fig. 1A). If the cell-autonomous TTFL of VPAC2 cells directs circadian behavior, such lengthening of their intrinsic period should correspondingly lengthen the period of wheel-running rhythms of the mouse.
The wheel-running behavior of mice of all genotypes (Ck1εWT/– and Ck1εTau/–, without and with VPAC2-Cre) entrained stably to a 12:12 light:dim red light (LD) cycle (Fig. 1B,C; two-way ANOVA, F(1,18) = 3.706, p = 0.07, Cre; F(1,18) = 0.000, p > 0.999, Tau; F(1,18) = 0.000, p > 0.999, interaction). On transfer to continuous dim red light (DD), Ck1εWT/– mice free-ran with a WT equivalent period (∼24 h), whereas that of Ck1εTau/– mice was significantly shorter (∼22 h, Fig. 1B,D; two-way ANOVA, F(1,39) = 30.46, p < 0.0001, interaction; Tukey's post hoc test, p < 0.0001). The presence of VPAC2-Cre had no effect in Ck1εWT/– mice lacking the floxed allele, whereas its presence in the Ck1εTau/– mice caused significant lengthening of circadian period (Tukey's post hoc test Ck1εTau/–, 22.21 ± 0.08 h vs VPAC2-Cre/Ck1εTau/–, 23.49 ± 0.12 h, p < 0.0001). This VPAC2-Cre/Ck1εTau/– group mean was slightly, albeit significantly, below the 24 h period of Ck1εWT/– controls, with or without VPAC2-Cre (Tukey's post hoc test Ck1εWT/– vs VPAC2-Cre/Ck1εTau/– p = 0.004). These results were consistent with concomitant determination of period when assessed by passive infra-red movement detectors (Ck1εWT/–: 24.06 ± 0.07 h; VPAC2-Cre/Ck1εWT/–: 24.08 ± 0.08 h; Ck1εTau/–: 22.26 ± 0.11 h; VPAC2-Cre/Ck1εTau/–: 23.44 ± 0.09 h). Nevertheless, at a behavioral level, the cell-autonomous clock of VPAC2 cells can exert a clear influence on circadian period, lengthening it in line with their intrinsic period. Furthermore, the coherence and amplitude of the behavioral rhythm were not affected by temporal chimerism (Fig. 1E; Kruskal–Wallis test, H(3) = 3.661, p = 0.30), confirming that circuit-level mechanisms are able to sustain coherent circadian output in the face of widely divergent cell-autonomous periods in the SCN (Smyllie et al., 2016; Brancaccio et al., 2017).
To test further the effect of chimerism on SCN integrity, sections of adult mouse brain were processed for immunohistochemical staining of the neuropeptides VIP, AVP, and GRP. The morphology of the SCN was comparable across all genotypes, and there were no significant differences in the expression of VIP (two-way ANOVA, F(1,9) = 0.001, p = 0.97, Cre; F(1,9) = 0.628, p = 0.45, Tau; F(1,9) = 0.518, p = 0.49, interaction) or GRP (Fig. 1F,G; two-way ANOVA, F(1,9) = 0.016, p = 0.90, Cre; F(1,9) = 0.000, p = 0.99, Tau; F(1,9) = 0.062, p = 0.81, interaction). Compared with Ck1εWT/– controls, however, the Ck1εTau/– mice showed a small (∼20%) but significant reduction of AVP expression (Fig. 1F,G; two-way ANOVA, F(1,9) = 0.013, p = 0.91, Cre; F(1,9) = 5.751, p = 0.04, Tau; F(1,9) = 0.053, p = 0.82, interaction). This was evident in SCN from mice both without and with the VPAC2-Cre and so could not be a direct cause of the period lengthening observed in the latter. Temporal chimerism did not, therefore, affect the structural integrity of the SCN, nor the quality of behavioral circadian output, and revealed the pace-setting ability of SCN VPAC2 cells.
Period determination by VPAC2 cells is attenuated in the SCN ex vivo
Following the recording of wheel-running behavior, mice were killed under dim red light and their SCN PER2-driven bioluminescence rhythms were recorded to determine the impact of temporal chimerism on the intrinsic SCN TTFL. SCN of all four genotypes exhibited robust and coherent bioluminescent rhythms (Fig. 2A). As with behavioral periods, the rhythms were shortened by ∼2 h by the presence of a single copy of the Tau allele in the SCN of mice lacking VPAC2-Cre (Fig. 2A,B; two-way ANOVA, F(1,21) = 39.01, p < 0.0001, Tau). In contrast to the lengthening of period observed in vivo, however, there was no systematic or significant effect of VPAC2-Cre on the mean circadian period of Ck1εTau/– SCN slices (two-way ANOVA, F(1,21) = 0.408, p = 0.53, interaction), and the mean circadian period was not statistically different from Ck1εTau/– slices lacking VPAC2-Cre. There was, however, a marked variability within the VPAC2-Cre/Ck1εTau/– group, with a range of ∼6.3 h, a clear departure from the behavioral data (Fig. 2B,C). Furthermore, in the control groups, there was a direct correspondence between the circadian periods measured in vivo as behavior and ex vivo as SCN bioluminescence within individual mice, with slices typically having a slightly longer period (Fig. 2C). This was not the case for the VPAC2-Cre/Ck1εTau/– group, in which the ex vivo SCN periods were not only widely divergent, but were also not consistent with the in vivo period of the corresponding mouse, typically being shorter (Fig. 2C; two-way ANOVA, F(3,19) = 8.975, p = 0.0007, interaction; Sidak's post hoc p < 0.0001, VPAC2-Cre/Ck1εTau/–, behavior vs slice period), and comparable to or even faster than those of Ck1εTau/– SCN lacking recombinase. Consequently, when in vivo and ex vivo periods were plotted together, the control groups exhibited a highly significant within-animal correlation, but the VPAC2-Cre/Ck1εTau/– group did not (Fig. 2D; Pearson correlation, Controls: r = 0.923, p < 0.0001, VPAC2-Cre/Ck1εTau/–: r = 0.598, p = 0.07).
The period lengthening by deletion of Ck1εTau in VPAC2 cells was therefore consistently effective in vivo but had variable penetrance in the corresponding SCN slices ex vivo. This variability was also evident in the stability of the individual SCN rhythms, whereby the period of VPAC2-Cre/Ck1εTau/– slices tended to increase over time in culture (Fig. 2E–G; two-way ANOVA, F(3,21) = 4.478, p = 0.014, interaction; Tukey's post hoc test p < 0.0001), suggesting that the long-period VPAC2 cells were re-exerting influence over ensemble period. While there was considerable variability in the peak-to-peak period within the group (Fig. 2C,F), the average period increase was almost 30 min per day for VPAC2-Cre/Ck1εTau/– slices, whereas control slices did not show significant period lengthening during ex vivo culture (Fig. 2G; two-way ANOVA, F(1,20) = 4.445, p = 0.048, interaction; Tukey's post hoc test, p = 0.030 vs Ck1εWT/–; p = 0.023 vs Ck1εTau/–; p = 0.035 vs VPAC2-Cre). Importantly, there was no significant difference in the progressive fall in amplitude observed over time in all genotypes (Fig. 2H; two-way ANOVA, F(1,18) = 2.555, p = 0.13, Cre; F(1,18) = 0.216, p = 0.65, Tau; F(1,18) = 0.020, p = 0.89, interaction), suggesting that the period lengthening was not the result of cells within the slice desynchronizing. Overall, we conclude that cell-autonomous properties of VPAC2 cells contribute strongly to computation of ensemble period in vivo, and also, but to a lesser extent, ex vivo.
The cell-autonomous clock of VPAC2 cells is essential for the circadian coordination of rest/activity rhythms
To test whether circadian competence in VPAC2 cells is essential for the generation of behavioral rhythms and/or molecular pace-making in the SCN, we examined the impact of cell type-specific deletion of BMAL1 by Cre-mediated removal of a critical exon within a floxed allele of the Bmal1 gene (Fig. 1A). Homozygous loss of Bmal1 results in a severely disrupted or arrhythmic TTFL, although a single floxed copy of Bmal1 is fully functional and sufficient for normal pace-making (Bunger et al., 2000; Gibbs et al., 2012). All experiments were conducted using Bmal1flx/– mice because the efficiency of Bmal1 deletion in the SCN is enhanced when the floxed Bmal1 allele is paired against a null allele (Husse et al., 2011). The efficiency of deletion in VPAC2-expressing cells (constituting ∼35% of SCN cells) was determined by immunohistochemistry for BMAL1 expression and the expression of a genomic EYFP reporter (Rosa-LSL-EYFP) to identify Cre-expressing cells (Fig. 3A). VPAC2-Cre-mediated excision reduced the number of BMAL1-expressing cells across the SCN by ∼20% compared with WT SCN (Fig. 3B; one-way ANOVA, F(4,22) = 98.83, p < 0.0001, Tukey's post hoc test, p < 0.0001), which suggests appreciable but incomplete deletion from all VPAC2-expressing cells. Indeed, within the VPAC2-Cre-expressing cell population (labeled by EYFP), ∼30% of cells had detectable BMAL1-ir. This nevertheless emphasized the efficient and specific targeting of BMAL1 in ∼70% of VPAC2 cells (Fig. 3C). Importantly, the loss of BMAL1 from VPAC2-expressing cells did not affect overall SCN morphology or expression of VIP or GRP (Fig. 3E). There was, however, a small (∼30%) but significant decline in AVP-ir (Fig. 3D,E; two-way ANOVA, F(1, 9) = 14.34, p = 0.004, interaction; Sidak's post hoc p = 0.004 vs Bmal1flx/–, p = 0.002 vs VPAC2Cre/Bmal1WT/–), consistent with some cells coexpressing AVP and VPAC2 (Patton et al., 2020; Wen et al., 2020), and the Avp gene being a circadian clock-controlled target of the BMAL1-dependent TTFL (Jin et al., 1999; Mieda et al., 2015).
Mice of all genotypes (Bmal1WT/– and Bmal1flx/– both without and with VPAC2-Cre) entrained stably under a 12:12 LD cycle with a period of 24 h, and there were no obvious differences in activity patterns between them (Fig. 4A; two-way ANOVA, F(1,29) = 0.459, p = 0.5, Cre; F(1,29) = 0.672, p = 0.42, Bmal1; F(1,29) = 2.81, p = 0.10, interaction). Mice were then transferred to DD for up to 7 weeks to allow the emergence of any Bmal1−/−-dependent phenotypes. Control mice (Bmal1WT/– with or without VPAC2-Cre, and Bmal1flx/– without Cre) free-ran with clear circadian patterns and endogenous periods slightly longer than 24 h (Fig. 4B,C) and with well-defined amplitude (Fig. 4E). The VPAC2-Cre/Bmal1flx/– group, however, displayed highly variable phenotypes both between and within individual animals under DD (Fig. 4C). Thirteen of 18 mice showed a strong phenotype: arrhythmicity occurred in 5 mice, while fragmented or “split” behavior was the most common result, seen in 8 mice, with several animals displaying multiple significant periods (Fig. 4B–D). Furthermore, in the majority of mice, the amplitude of the activity rhythm was reduced, leading to a significant difference with control groups (Fig. 4E; Kruskal–Wallis test, H(3) = 21.19, p < 0.0001, Dunn's post hoc p < 0.0001 vs VPAC2-Cre/Bmal1WT/–; p = 0.032 vs Bmal1flx/–). Strikingly, BMAL1-dependent phenotypes (arrhythmicity, multiple periodicities, loss of amplitude) did not appear at a consistent point following transfer to DD. Rather, they accumulated progressively (Fig. 4F), at a range of times throughout the experiment: some mice immediately showed split or arrhythmic behavior, whereas others took several weeks and displayed phenotypes that looked WT until that point. We conclude that the cell-autonomous rhythmicity of VPAC2-expressing cells is essential for normal circadian control of behavior, although considerable plasticity exists within and between individual mice that affects the precise timing and presentation of the VPAC2-Cre/Bmal1flx/– phenotype.
To determine whether the behavioral effects of the local loss of BMAL1 in VPAC2 cells were specific to that cell type, an additional group of mice was included in which BMAL1 was deleted from cells expressing Cre driven by the Drd1a promoter. In these animals, BMAL1 was deleted in ∼80% of Drd1a-specific cells compared with ∼70% of VPAC2-expressing cells in VPAC2-Cre/Bmal1flx/– mice (Fig. 3C), resulting in an overall deletion of BMAL1 across ∼70% of total SCN cells in Drd1a-Cre/Bmal1flx/mice (Fig. 3B; one-way ANOVA, F(4,22) = 98.83, p < 0.0001, Tukey's post hoc test, p < 0.0001 vs Bmal1WT/– or VPAC2-Cre/Bmal1flx/–). Notwithstanding this broader deletion of BMAL1, the rest/activity rhythms of these mice were comparable to those of the control groups: only 3 of 7 showed minor instability in the time of onset of wheel-running, but none of them showed a phenotype comparable to those of VPAC2-Cre/Bmal1flx/– mice (Fig. 4G), and the RAs of their rhythms were not significantly different from control groups (Fig. 4E; Dunn's post hoc p > 0.9999 vs Bmal1flx/–). These results emphasize that the effects of deletion of BMAL1 from VPAC2 cells are not merely because of reaching a threshold number of SCN neurons, given that the Drd1a-Cre-mediated removal targeted over twice as many cells as that of VPAC2-Cre. Rather, they suggest that the nature and identity of the cells from which BMAL1 is deleted (in this case VPAC2 or Drd1a) are paramount.
The cell-autonomous clock of VPAC2 cells is essential for molecular pace-making in the SCN
The loss of behavioral rhythms in conditionally BMAL1-deleted mice could indicate that a functional cell-autonomous TTFL in VPAC2 cells is required for either producing a coherent ensemble signal within the SCN circuit or for enabling distribution of an appropriate output signal from the SCN to relevant brain centers. To test this, SCN slices were prepared from adult mice following the recording of wheel-running rhythms to establish whether behavioral phenotypes were reflected by, and thus likely resulted from, VPAC2-mediated changes in SCN rhythmicity. Circadian rhythms of PER2::LUC bioluminescence from slices lacking either the floxed Bmal1 allele or VPAC2-Cre were stable and of high amplitude (Fig. 5A,B). In contrast, VPAC2-Cre/Bmal1flx/– SCN slices were highly disorganized, showing erratic and unstable bioluminescence (Fig. 5A), and having significantly higher RAE scores compared with controls (Fig. 5C; one-way ANOVA, F(4,32) = 8.147, p = 0.0001, Tukey's post hoc test, p = 0.005 vs Bmal1flx/–; p = 0.0004 vs VPAC2Cre/Bmal1WT/–). The circadian behavior of VPAC2-Cre/Bmal1flx/– mice was therefore directly reflected in the lack of competence of molecular pace-making of the TTFL SCN rhythm: a disrupted, unstable behavioral rhythm was predictive of a poorly organized rhythm in the SCN from the same animal (Fig. 5D). In contrast to the disruption following deletion of BMAL1 from VPAC2 cells, but consistent with minor behavioral effects, the more extensive Drd1a-Cre-mediated deletion of BMAL1 had little impact on the SCN rhythms. They were well defined (Fig. 5A) with a period (Fig. 5B; one-way ANOVA, F(4,32) = 1.425, p = 0.93) and a low RAE score comparable to those of the control groups (Fig. 5C; Tukey's post hoc test, p = 0.77 vs Bmal1flx/–, p = 0.54 vs Bmal1WT/–). The competence of their SCN was therefore consistent with their well-organized wheel-running behavior. These results confirm the specificity of the contribution of VPAC2-expressing cells to the ensemble rhythm and circadian behavior, whereby the ablation of the cell-autonomous clock of VPAC2 cells is sufficient to abrogate SCN, and thence behavioral, rhythmicity. This highlights VPAC2-expressing cells as necessary determinants of SCN circadian output and behavioral regulation.
Discussion
The potency of the SCN as circadian pacemaker arises from network-level interactions that confer on it the emergent properties essential to its role. The SCN is, however, a heterogeneous mix of neuropeptidergic cell types, and so identifying the contribution(s) of defined cell populations to circuit-level function(s) is an important problem in circadian neurobiology. Here, we used intersectional genetics to manipulate the cell-autonomous clockwork of cells that express the VPAC2 receptor for VIP, and thereby demonstrated that these cells control circadian behavior and pace-making. These cells therefore constitute an important element of the network topology of the SCN, acting downstream of retinal and VIP-mediated signaling to maintain local and distant circadian coherence.
The ability of VPAC2 cells to determine behavioral circadian period complements other intersectional studies. Whereas lengthening the period of VIP cells (Vip-ClockΔ19) had no effect on free-running rhythmicity, the same manipulation in neuromedin S (NMS) cells (NMS-ClockΔ19), including almost all VIP and AVP cells, lengthened the behavioral period (Lee et al., 2015). Similarly, period lengthening in Drd1a-Cre cells (including ∼60% of AVP cells) in Drd1a-Cre/Ck1εTau/Tau mice lengthened their behavioral period (Smyllie et al., 2016). Finally, directly altering the period of AVP cells alone accordingly shortened or lengthened behavioral rhythms (Mieda et al., 2016). Given that VPAC2 cells encompass ∼85% of AVP cells, the current period effects likely arise from altering cell-autonomous oscillators of VPAC2/AVP cells. Moreover, comparable effects are seen when targeting AVP or VPAC2 cells ex vivo, insofar as the SCN period does not recapitulate behavioral periods. For example, in vivo period lengthening of AVP cells to 26 h disappeared after the first cycle ex vivo, when SCN slices reverted to a WT 24 h (Mieda et al., 2016). Ex vivo, SCN AVP cells are therefore less potent in period setting than in vivo, similar to VPAC2-targetted SCN. Interestingly, however, VPAC2-Cre/Ck1εTau/– slices showed a progressive lengthening of period, not seen in control slices, without loss of precision or amplitude. This suggests that, with extended culture, the longer-period VPAC2 cells gained influence over the ensemble period, indicative of circuit-level plasticity. Indeed, the circuit context in which VPAC2 cells are embedded appears to be essential for period determination. A recent study found that VPAC2 cells additionally required the contribution of VIP cells to dictate SCN slice period (Patton et al., 2020); and, given both their shell localization and likely expression of glutamate receptor NR2C (Wen et al., 2020), they may also act as a conduit for astrocytically derived period cues (Brancaccio et al., 2017).
Overall, therefore, the ability of VPAC2/AVP cells to determine circadian period is greatly enhanced in the intact animal compared with slices. While slice period variability may arise from technical factors, such as Cre excision efficiency, the marked, consistent behavioral effect confirmed effective deletion. It is possible that VPAC2 cells function primarily as output cells of the SCN rather than dictating SCN periodicity per se, so their cell-intrinsic period is reflected at the behavioral level but not in slices. This would, however, require two separately oscillating populations within the SCN, which would be expected to lead to more unstable behavioral patterns than were observed. Instead, it is likely that modification of SCN function by behavioral state feedback, at the circuit level or directly to AVP and/or VPAC2 cells, underlies these differences. A precedent for behavioral feedback potentiating a compromised SCN is seen in arrhythmic VPAC2-null mice, which, after entrainment to a 24 h schedule of voluntary exercise, exhibit free-running circadian behavior on release into DD (Power et al., 2010). For VPAC2-Cre/Ck1εTau/– mice, sparse VPAC2 cells in the rest of the hypothalamus that receive input from the SCN, such as in the paraventricular nucleus (Kalló et al., 2004), would also have 24 h periods and may feedback to, and resonate with, the intrinsically 24 h SCN VPAC2 cells. This feedback would reinforce the role of SCN VPAC2 cells in period determination in vivo, leading to a change in behavior, but would be absent in slices.
In addition to period setting, VPAC2 cells are also critical for rhythm maintenance, as evidenced by VPAC2-specific BMAL1 deletion. Interestingly, the total number of targetted cells appears to be less important than the type of cell rendered circadian incompetent. Loss of BMAL1 from ∼30% of SCN neurons using Nestin-Cre had no effect on behavioral rhythms in DD (Mieda and Sakurai, 2011). Equally, deletion of BMAL1 in 65% of SCN cells using heterozygous Synaptotagmin10-Cre had no behavioral effect (Husse et al., 2011). Only in homozygous Synaptotagmin10-Cre mice, where BMAL1 was deleted from 83% of the SCN, was a behavioral phenotype evident. Moreover, in the current study, loss of BMAL1 from Drd1a-expressing cells, causing ∼70% loss of BMAL1 across the SCN, did not compromise circadian behavior. Conversely, deletion of BMAL1 from NMS neurons, constituting 40% of the SCN, caused behavioral arrhythmia. In the current study, loss of BMAL1 from only 15%-20% of total SCN cells, but 70% of VPAC2 cells, severely disrupted circadian behavior. Unlike in pace-making, where VPAC2 and AVP share many commonalities, loss of BMAL1 exclusively from AVP cells did not cause disrupted circadian behavior, instead causing the nocturnal activity profile to widen and overall period to lengthen (Mieda et al., 2015; Shan et al., 2020). Thus, VPAC2 cells appear to constitute a population in which rhythmicity is essential for overall circadian competence.
Further demonstration of the essential role of VPAC2 cells came from ex vivo SCN slices, which exhibited highly disordered oscillations of TTFL activity, commensurate with loss of behavioral coherence. This contrasts with the sustained TTFL function following the ablation of BMAL1 from Drd1a-Cre cells in the current study, and solely from AVP cells, in which network synchrony is disrupted but ensemble rhythmicity is sustained through non-AVP cell oscillations (Mieda et al., 2015; Shan et al., 2020). This suggests that the loss of behavioral coherence seen in VPAC2-Cre/Bmal1flx/– mice has a more fundamental origin than simply an inability to convey behaviorally relevant circadian cues outside the SCN (as in Prok2 receptor KO) (Prosser et al., 2007). Even more strikingly, Ko et al. (2010) demonstrated that global Bmal1−/− slices show stochastic quasi-circadian rhythmicity; thus, it is remarkable that loss of BMAL1 from 20% of the SCN caused such a pronounced phenotype. This provides strong evidence that VPAC2 cells in the SCN exert powerful control over ensemble rhythmicity, a result complementing rhythmicity restoration experiments of Patton et al. (2020), together showing that a competent TTFL in VPAC2 cells is necessary for coherent circadian oscillation.
Notwithstanding the overall effect of BMAL1 deletion, it is clear that the behavioral phenotype of VPAC2-Cre/Bmal1flx/– mice was variable both in severity and latency of presentation under DD, suggesting that there are subpopulations of VPAC2 cells, as posited for other SCN populations (Kawamoto et al., 2003; Geoghegan and Carter, 2008). The advent of single-cell transcriptomic profiling (Park et al., 2016; Wen et al., 2020) may reveal suitable markers for such subpopulations. That the behavioral disruption took time to emerge is intriguing, because, as with Nms-Bmal1flx/flx mice, phenotypes often appeared suddenly, with no obvious trigger, suggesting “the presence of mechanisms capable of transiently compensating for the loss of molecular clocks” (Lee et al., 2015). The initial rhythmicity in vivo, perhaps initiated by daily lighting cycles and/or sustained by light-driven behavioral rhythms, may have relied on coupling effects of non-VIPergic cells that compensated for the loss of VPAC2 cell-autonomous oscillators. Potential compensatory factors are AVP and GRP, both of which can induce rhythmicity in VIP- or VPAC2-deficient SCN (Brown et al., 2005; Maywood et al., 2006, 2011). Levels of AVP, however, were reduced in VPAC2-Cre/Bmal1flx/– mice, which may have exacerbated circadian disorganization arising from loss of TTFL function in VPAC2 cells. The signaling molecules used by VPAC2 cells themselves remain unclear, not least because a global AVP KO has only a minor effect on rhythmicity (Groblewski et al., 1981), although loss of AVP receptors does compromise intercellular coupling in the SCN (Yamaguchi et al., 2013). Similarly, NMS, another peptide marker for both core and shell SCN, is not essential for circadian function (Lee et al., 2015).
In conclusion, we have demonstrated that VPAC2 cells constitute an essential pace-setting and rhythm-generating population of the mammalian circadian system, necessary for fully coherent circadian oscillation both in vivo and ex vivo. Furthermore, we found that the strong pace-setting abilities of VPAC2 cells are disrupted, albeit not completely absent, on slice preparation, suggesting an unanticipated influence of extra-SCN populations in reinforcing periodicity. These findings complement those of Patton et al. (2020) that circadian competence in both VPAC2 cells and VIP cells is necessary for the de novo initiation of ensemble rhythms in SCN slices and behavior. Thus, circadian competence in VPAC2 cells is necessary for rhythmicity, but they require their cognate signaling cell partners to be sufficient for rhythmicity. The VIPergic axis confers much of the fundamental robustness and intercellular communication that is essential to normal SCN function, and our work advances our knowledge of the individual functions of the cells inherent to this axis.
Footnotes
This work was supported by the Medical Research Council MC_U105170643 core funding to M.H.H. We thank the staff of the Medical Research Council LMB Biomedical Facility, Ares, for mouse breeding and handling; the staff of the Light Microscopy Facility for imaging support; and Emma Morris for experimental assistance.
R. Hamnett's present address: Department of Neurosurgery, Stanford University, Stanford, CA 94305.
The authors declare no competing financial interests.
- Correspondence should be addressed to Michael H. Hastings at mha{at}mrc-lmb.cam.ac.uk or Ryan Hamnett at rhamnett{at}stanford.edu
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