Summary
Light exerts a range of powerful biological effects beyond image vision, including mood and learning regulation. While the source of photic information affecting mood and cognitive functions is well established, viz. intrinsically photosensitive retinal ganglion cells (ipRGCs), the central mediators are unknown. Here we reveal that the direct effects of light on learning and mood utilize distinct ipRGC output streams. ipRGCs that project to the suprachiasmatic nucleus (SCN) mediate the effects of light on learning, independently of the SCN’s pacemaker function. Mood regulation by light, on the other hand, requires an SCN-independent pathway linking ipRGCs to a previously unrecognized thalamic region, termed perihabenular nucleus (PHb). The PHb is integrated in a distinctive circuitry with mood-regulating centers, and is both necessary and sufficient for driving the effects of light on affective behavior. Together, these results provide new insights into the neural basis required for light to influence mood and learning.
Keywords: ipRGCs, perihabenular nucleus, suprachiasmatic nucleus, ventromedial prefrontal cortex, circadian rhythms, aberrant light cycle, learning, mood
Graphical Abstract
Introduction
The constancy of the solar cycle as a signal for the regulation of mammalian behavior is manifested, among other things, in the powerful effects that light exerts on mood and cognition. These effects have been documented in laboratory animals (Bedrosian et al., 2011; LeGates et al., 2012), as well as in humans (Vandewalle et al., 2010). Depressive symptoms and cognitive dysfunction linked to light can be brought on by natural conditions, or by people’s own agency by traveling across time zones and experiencing jet lag or in shift-work (Jaeger et al., 2006; Kurlansik and Ibay, 2012; Roh et al., 2016; Scott et al., 1997). The magnitude of these mood effects is large as approximately 20% of the general population is affected (Melrose, 2015) with symptoms being fairly common, including anhedonia and feelings of helplessness (Russo and Nestler, 2013).
In mammals, light detection occurs exclusively in the retina (Hattar et al., 2003; Wässle, 2004). In addition to classical rod and cone photoreceptors, a subpopulation of retinal ganglion cells (RGCs) that express the photopigment melanopsin (Opn4), making them intrinsically photosensitive (ip)RGCs, constitute the third type of photoreceptors (Berson et al., 2002; Hattar et al., 2002; Provencio et al., 2000). At present, 5 subtypes (M1-M5) of ipRGCs have been described (Ecker et al., 2010; Schmidt et al., 2011). Their central projections differ amply, reflecting in this variety the multiform nature of the non-image-forming visual functions they participate in, such as circadian photoentrainment and sleep regulation (Altimus et al., 2008; Hattar et al., 2006). A major ipRGC target is the hypothalamic suprachiasmatic nucleus (SCN), which houses a central pacemaker that orchestrates peripheral clocks to drive circadian rhythmic coherence (Morin, 2013). Genetic ablation of ipRGCs completely abrogates light reception at the SCN level, suggesting that ipRGCs constitute the only conduit for light input to modulate circadian brain functions (Güler et al., 2008).
Notably, the regulation of mood and learning by light is also absent in mice where ipRGCs are ablated (LeGates et al., 2012, 2014), indicating that ipRGCs are the main sensory channel driving these behavioral effects. The ipRGC central targets mediating these effects, however, remain unknown. Here, we show that a subset of ipRGCs, that are defined by the lack of Brn3b expression and project to the SCN, are sufficient to drive light-mediated cognitive deficits, without disrupting the SCN clockwork machinery. An SCN-independent pathway mediates light-induced mood changes, through ipRGC input to the perihabenular nucleus (PHb) of the dorsal thalamus. PHb neurons project to well-characterized mood- regulating centers. Furthermore, the PHb is both necessary and sufficient for driving the effects of light on affective behavior. These findings reveal two distinct retinal-brain pathways that mediate the direct effects of light on mood and cognition.
Results
The SCN-projecting ipRGCs drive the effects of light on learning
The use of an ultradian light cycle (T7 cycle; alternating 3.5-hour periods of light and darkness) allowed us to determine the direct effects of light on mood and learning (LeGates et al., 2012). To investigate whether light input to the SCN is sufficient to drive the behavioral alterations induced by the T7 cycle, we used a previously described mouse line, Opn4Cre/+;Brn3bzDTA/+ (Chen et al., 2011), in which Brn3b(−) ipRGCs that innervate the SCN survive, whereas Brn3b(+) ipRGCs projecting outside the SCN are substantially ablated (Figures 1A-C and S1A-C). Opn4Cre/+;Brn3bzDTA/+ mice photoentrained under a normal light/dark cycle (T24 cycle), and their circadian periods were lengthened when exposed to the T7 cycle, similar to Opn4Cre/+ (control) mice (Figures 1D-E). Thus, the general circadian responses are intact in these animals.
Under the T24 cycle, Opn4Cre/+ and Opn4Cre/+;Brn3bzDTA/+ mice showed similar learning and cognitive functions (Figures 1F-H; novel object recognition (NOR) test: p=0.57; Morris water maze (MWM), test trial: p=0.5, by Tukey’s test), indicating that the ablation of Brn3b(+) ipRGCs did not affect the cognitive functions of these animals. When exposed to the T7 cycle for 2 weeks, Opn4Cre/+;Brn3bzDTA/+ animals displayed cognitive deficits, similar to those observed in T7 cycle-housed control (Opn4Cre/+) mice (Figures 1F-H). Specifically, T7 cycle-housed mice spent significantly less time exploring the novel object than mice housed under the T24 cycle (Figures 1F and S1D). In the MWM, T7 cycle-housed mice exhibited significant deficits during training, test, and reverse phases, relative to mice housed under the T24 cycle (Figures 1G-H and S1E-F). For both behavioral tests, no significant differences were found in the results obtained from Opn4Cre/+ and Opn4Cre/+;Brn3bzDTA/+ mice exposed to the T7 cycle (Figures 1F-H; NOR: p=0.45; MWM, test trial: p=0.86; by Tukey’s test).
In line with the behavioral studies, hippocampal long-term potentiation (LTP) was significantly attenuated in both Opn4Cre/+ (control) and Opn4Cre/+;Brn3bzDTA/+ mice when housed under the T7 cycle, relative to T24-housed groups (Figures 1I and S1G). The LTP alterations were specific to activity- dependent potentiation by the theta-burst stimulus, since other aspects of transmission were normal (Figures S1H-I). Together, these results highlight the sufficiency of the Brn3b(−) ipRGCs in mediating light-induced LTP and cognitive deficits.
The T7 cycle alters the photoresponsiveness of the SCN
We previously found that the rhythmic expression of the clock gene period2 (PER2) in the SCN was unperturbed by the T7 cycle (LeGates et al., 2012). This raises a conundrum: if the SCN remains responsive to light under the T7 cycle, why are PER2 levels unaffected under a recurring light activation? To address this question, we first tested whether the photic responsiveness of SCN neurons is affected under the T7 cycle, by evaluating the phosphorylation of CREB (cAMP response element-binding protein), one of the first steps in gene induction in response to light (Chawla, 2002). Light-induced pCREB levels were similar in the SCN from animals maintained under T24 and T7 cycles (Figures 2A- D), indicating that the SCN is still responsive to light in T7 cycle-housed mice. Interestingly, it was recently shown that the SCN can act not only as a circadian pacemaker, but also as a relay for light input to peripheral oscillators (Izumo et al., 2014). To explore the role of the SCN as a light relay versus a circadian pacemaker, we analyzed the effects of T7 cycle on Period1 (PER1), a clock gene that shows both a robust rhythmic expression and a fast response to light (Travnickova-Bendova et al., 2002a). We found that under T7 cycle the expression levels of PER1 were rhythmic in the SCN (Figures 2E-F), whereas the acute effects of light on PER1 induction were abrogated (Figure 2G-H). Combined, the effects of light on pCREB levels and PER1 induction indicate that the photic responsiveness of the SCN is distinctively altered by the T7 cycle.
To further investigate the overall changes in SCN photic responsiveness, we performed RNA- sequencing (RNA-seq) on isolated SCN samples (Figure 2A). We found that 29 genes were differentially regulated between T24 and T7 cycle groups (FDR-adjusted p<0.01, Figure S2A) including a striking depletion of classical immediate-early genes in T7 cycle-housed animals (Figures 2I-J). Gene ontology analysis of differentially regulated transcripts revealed a depletion of genes involved in transcription as well as Ca2+ and cAMP responses, further suggesting that the T7 cycle dramatically alters the photic responsiveness of the SCN (Figure S2B). In support of the RNA-seq data, we found a significant decrease in light-mediated c-Fos induction in SCN neurons under the T7 cycle, compared with T24-housed mice (Figures S3A-B). c-Fos induction in the SCN requires the phosphorylation of both CREB and ELK-1, leading to the recruitment of CREB-binding protein, resulting in gene transcription through the acetylation and phosphorylation of histones, including histone-3 (H3) (Chawla, 2002; Kako and Ishida, 1998). In contrast to pCREB, the light-induced pELK-1 and pH3 levels were significantly reduced in SCN neurons from animals housed under the T7 cycle (Figures S3A, C-D). Combined, these data show that the SCN becomes refractory to light-induced transcriptional changes that would otherwise impinge on the clockwork machinery under the T7 cycle.
The effects of light on mood are independent of the SCN
To investigate whether Brn3b(−) SCN-projecting ipRGCs also affect mood-related behaviors, mice were housed under the T24 or T7 cycles, and the sucrose preference test (SPT), tail suspension test (TST) and forced-swim test (FST) were performed. Under normal light conditions, Opn4Cre/+ (control) and Opn4Cre/+;Brn3bzDTA/+ mice showed no significant differences in their behavioral responses (Figure 3; SPT: p=0.600; TST: p=0.921; FST: p=0.859; by Tukey’s test). Remarkably, ablating ipRGC projections outside the SCN abolished mood alterations induced by the T7 cycle. Specifically, Opn4Cre/+;Brn3bzDTA/+ mice exposed to the T7 cycle showed no significant differences in the sucrose preference index (Figure 3A), immobility time during the TST (Figure 3B) and FST (Figure 3C), compared to mice housed under the T24 cycle. In addition, under the T7 cycle, results obtained from Opn4Cre/+;Brn3bzDTA/+ mice were significantly different compared with Opn4Cre/+ mice (Figure 3; SPT: p<0.001; TST: p<0.05; FST: p<0.001; by Tukey’s test). Thus, ipRGC pathways, distinct from the SCN, must be responsible for driving light regulation of mood.
PHb neurons receive direct input from ipRGCs
Among the ipRGC targets that might mediate the perturbation of affective behavior by unnatural light cycles, a region of the dorsal thalamus, adjacent to the epithalamic lateral habenula (LHb), is of particular interest. This region, which was previously termed perihabenular region (PHb), has been shown to receive retinal innervation (Hattar et al., 2006; Morin and Studholme, 2014). We first evaluated the light-responsiveness of the PHb. Wild type (WT) mice showed a robust light-mediated c-Fos induction throughout the PHb (Figures 4A, C), whereas mice lacking ipRGC innervation to the PHb (Opn4Cre/+;Brn3bzDTA/+) showed no induction of c-Fos (Figure S3E). We found that T7-housed WT mice showed a normal c-Fos induction in the PHb after a light pulse exposure (Figures 4B-C), suggesting that, contrary to the SCN, the PHb photoresponsiveness is unaltered under T7 cycle.
PHb neurons show a robust rhythmic expression of the clock gene PER2 under normal light conditions (Figure 4D). The c-Fos induction observed in PHb neurons raises the possibility that under the T7 cycle, neurons may be abnormally (and chronically) activated by the appearance of light every 3.5 hours, which would lead to alterations in PER2 rhythmic expression. Indeed, when WT mice were housed under the T7 cycle, PER2 rhythmicity was abolished in the PHb, maintaining high PER2 levels throughout (Figure 4D). These results suggest that light input has a direct impact over clock genes expression, as revealed by alterations in PER2, known to show a slow response to light (Travnickova- Bendova et al., 2002b; Wilsbacher et al., 2002). To further evaluate whether ipRGCs are involved in this process, we tested mice in which ipRGCs are ablated by the expression of the attenuated diphtheria toxin (Opn4aDTA/aDTA). We previously found a drastic reduction of ipRGC innervation in these animals at 6 months of age (Ecker et al., 2010; Güler et al., 2008; LeGates et al., 2012). Specifically, only sparse retinal fibers were observed in the most caudal PHb region in Opn4aDTA/aDTA mice (Figures S4A-B). Importantly, in the absence of the ipRGC projections, PER2 rhythmicity in the PHb was maintained in Opn4aDTA/aDTA mice housed under the T7 cycle (Figures 4E and S4C-D). These findings reveal that irregular light/dark cycles perturb the circadian clock machinery selectively in the PHb, through an ipRGC-dependent circuit.
Retinal innervation to the PHb was precisely mapped using intravitreal injections of the tracer cholera toxin β-subunit (CTβ). Retinal axons labeled a wedge-shaped zone near the boundary between the dorsal thalamus and the LHb, especially caudally, in regions typically included in the central lateral (CL) or the lateral posterior (LP) thalamic nuclei (Figures 4F and S4A). A few retinal fibers penetrate into the most lateral edge of the LHb (Figure S4A). The retina-PHb circuit was further characterized by mapping the presynaptic terminals of ipRGC axons by using Opn4CreERT/+;ROSASynaptophysin-tdTomato mice (Figure S4E). Labeled puncta, marking ipRGC output synapses, were densely distributed throughout the PHb (Figures 4G and S4F). To determine the identity of the RGCs that project to this area, we injected the tracer CTβ into the PHb in WT mice (Figure 4H). In the contralateral retina, all retrolabeled RGCs (70.6±5.2 cells/retina, n=4 mice) were melanopsin immunopositive (Figures 4I-J). Thus, the PHb receives its retinal input exclusively from ipRGCs.
Next, we sought functional evidence for retinal influence on PHb neurons. For that, we expressed channelrhodopsin-2 (ChR2) in retinal axons by intravitreal injections of an AAV2/ChR2-EYFP (Figures 4K and S4G-H). PHb cells recorded in current clamp exhibited bursting responses when relatively hyperpolarized (−70mV), whereas a tonic mode of firing was observed when cells were relatively depolarized (−60mV) (Figure S4I-J), similar to previous descriptions of thalamic neurons (Kim et al., 2001; Sherman, 2001), as well as a for a subpopulation of LHb neurons (Wagner et al., 2017). Activation of local ChR2-positive retinal axons by flashes of blue light (2 ms) evoked cationic EPSCs in a subset (9.5%, n=63 cells) of patch-recorded PHb neurons (Figures 4L-M and S4K-M). Together, these data indicate that ipRGCs provide excitatory synaptic input to PHb neurons.
PHb is a distinct thalamic region that projects to mood-regulating centers
The location of the PHb was delineated using markers of gene expression exclusively associated with thalamic or epithalamic areas. For that, the PHb area was outlined based on the light-mediated c-Fos induction. We found that most c-Fos(+) cells were co-labeled with GRID2IP (Figure 5A), a marker for dorsal thalamic nuclei (Nagalski et al., 2016). Only a minor fraction of total PHb c-Fos(+) cells colocalized with Brn3a (also known as POU4F1, Figure 5B), a marker for the epithalamic LHb (Quina et al., 2015). Aditionally, we observed that most ipRGC terminals were in close apposition with thalamic neurons immunopositive for GRID2IP or PKCd (Figures S5A-B), another marker used for delineating the dorsal thalamus (Nagalski et al., 2016). In sum, these results assign the PHb as part of the dorsal thalamus.
We then investigated the PHb downstream circuitry using CTβ injections to uncover targets potentially implicated in mood regulation. We found that the most prominently labeled region was the ventral medial prefrontal cortex (vmPFC) (Figure S5C). In particular, there were retrogradely labeled somas in layers V and VI of the infralimbic (IL) and prelimbic (PL) cortices bilaterally with respect to injection site, and anterogradely labeled fibers in layers I and III-IV of the IL ipsilaterally. This result pointed to the existence of a thalamocortical loop between the PHb and vmPFC that is distinct from the CL or the LP nuclei, which are not known to project to the vmPFC (Noseda et al., 2010; Voorn et al., 2004). To increase the precision of our projection tracing, we used a dual injection strategy with a retrogradely transported Cre-carrying vector injected in the IL and a Cre-dependent vector carrying synaptophysin-tdTomato injected in the PHb (Figures 5C-D). We found that one of the PHb target is indeed the vmPFC (Figure 5D). To determine which vmPFC subdivisions are innervated, we used vGluT2 staining to reveal the ventral boundary of the cortex (Figure S5D). PHb terminals extended ventrally within 200μm of the ventral cortical boundary (Figure 5D), which is assigned IL territory.
Furthermore, PHb terminals revealed a compression of cortical layers characteristic of the cytoarchitecture of IL. Based on the same factors, the most dorsal extent of the PHb’s cortical innervation field may fall within the ventral PL. The second and third targets of PHb neurons are the dorsomedial striatum (Figure 5E) and the nucleus accumbens (NAc) (Figure 5F). It should be noted that the dorsomedial striatum also receives input from the same cortical areas targeted by the PHb, indicating that PHb is part of a thalamo-frontocortico-striatal loop (Figures 5G and S5E-F). Finally, we noticed that a subset of labeled PHb neurons appear to send collaterals into the lateral part of the LHb (Figure S5G). Control injections of HSV-cre in the dorsomedial prefrontal cortex did not result in any labeled cells in the PHb proper (Figure S5H). Together, these results demonstrate that the PHb is incorporated into a loop reminiscent of limbic thalamic nuclei (Vertes et al., 2015). As a cohesive neuronal cluster with distinctive connectivity, genetic and functional properties (including being a circadian oscillator), the PHb must be properly reckoned as an independent, previously unrecognized thalamic nucleus.
Disynaptic circuits connect ipRGCs to specific mood-regulating regions
To determine whether the PHb links ipRGCs to vmPFC through a disynaptic circuit, we used a triplevirus trans-synaptic retrograde tracing strategy (Schwarz et al., 2015): A retrogradely transported AAV/Cre-YFP was injected into the vmPFC (Figures 6A-B). Then, presynaptic partners of these thalamocortical relay neurons were labeled transynaptically by injecting a Cre-dependent helper virus followed by EnvA-pseudotyped gΔRabies-mCherry in the PHb (Figure 6C). Finally, labeled PHb- projecting RGCs were found, and all of them were melanopsin(+) (Figure 6D). This labeled from one to seven ipRGCs per animal; the low number of labeled ipRGCs could be due to the low probability requirement for the three viruses to infect the same cells in the PHb. Therefore, we also deployed a dualvirus strategy: a retrograde helper virus was injected into the vmPFC, followed by EnvA-pseudotyped G- deleted rabies injected into the PHb (Figure S6A-D). Using this strategy, 25±7.1 labeled ipRGCs were found per retina. In sum, these results confirm the existence of a disynaptic pathway linking ipRGCs through PHb to vmPFC.
Next we sought to characterize the physiology of the PHb in vivo. The target cell population was transfected with a fluorescent Ca2+ indicator, GCaMP6m, by injections of a cre-dependent vector in the PHb and a retrogradely-transported cre-carrying vector in the vmPFC; an optical fiber was implanted above the PHb to deliver and collect light locally in awake, free-moving mice (Figure 6E). We first confirmed that vmPFC-projecting PHb neurons responded to brief light pulses delivered in the active phase of mice (Figure 6F), with a biphasic Ca2+ transient characterized by a fast component rising 90±3 ms after external light presentation and by a subsequent slower further rise peaking 3 seconds thereafter. Return to the pre-stimulus baseline occurs with high temporal variability, and irrespective of continued environmental illumination (Figure 6G). To analyze the PHb physiology over longer time-spans, we exposed injected-mice to the T24 or T7 cycles, and the PHb activity was recorded. Under both lighting conditions, we observed a fast response of PHb neurons to each dark-light transition (Figures 6H-I). A comparison of the magnitude of the peak fluorescence in the PHb in the course of exposure to the two light cycles revealed a significant increase of such activity under the T7 cycle (Figures 6J-L). In sum, these results indicate that light input modulates the Ca2+ dynamics of vmPFC-projecting PHb neurons in vivo, with the T7 cycle specifically shown to increase activity.
Chronic activation of PHb neurons is sufficient to regulate mood
The PHb is well positioned to link environmental lighting to affective behavior. If the PHb is required for the effects of light on mood, then chronic activation of the PHb should induce mood disorders in animals housed in a normal light/dark cycle, whereas silencing PHb neurons should block the dysphoric effects induced by the unnatural light cycle. To achieve long-lasting activation of light-responsive PHb neurons, we used a chemogenetic strategy based on designer receptors exclusively activated by designer drugs (DREADDs) (Roth, 2016), combined with c-FosCreERT2 mice. A Cre-dependent AAV encoding an excitatory (Gq) was bilaterally injected in the PHb (Figure 7A). One week later, mice received a light pulse (circadian time (CT) 14), leading to the expression of the Tamoxifen (Tam)-sensitive Cre recombinase only in light-responsive neurons. At the end of the light pulse, mice were injected with 4- OH-Tam. Injection sites were invariably restricted to PHb, and immediately adjacent thalamic nuclei (Figures 7A and S6E). In AAV-injected c-FosCreERT2 mice that received 4-OH-Tam, but without light pulse exposure, only sparse mCherry(+) cells or no detectable mCherry expression was observed in the PHb (Figure S6F). As a control group, littermate Cre-negative mice received the same treatment and viral injections. Beginning four weeks post-Tam injections, mice continuously received the designer ligand clozapine-N-oxide (CNO) in their drinking water to selectively and tonically activate neurons expressing the designer receptor (hM3D) (Figures S6G-I). After 2 weeks of chronic CNO treatment, virally injected c-FosCreERT mice displayed mood alterations, spending significantly more time immobile in both the TST and FST, compared with control mice (Figures 7B-C). The SPT was not evaluated in this case, out of concern that CNO treatment could affect water palatability. For that, in a different set of experiments, AAV-injected c-FosCreERT and Cre-negative mice received two (i.p.) injections of CNO (1mg/kg) per day, during 2 weeks. We found that this CNO treatment induced a significant reduction in the sucrose preference index in c-FosCreERT injected-mice, compared to the control group (Figures 7D and S6J).
To determine whether the PHb-vmPFC circuit is sufficient for driving mood alterations, we performed a long-lasting activation of vmPFC-projecting PHb neurons. WT mice were injected with a retrograde transported AAV/Cre into the vmPFC, and a Cre-dependent AAV encoding excitatory(Gq)- mCherry was injected in the PHb (Figure 7E). As a result, mCherry(+) neurons were restricted exclusively to the PHb (Figures 7E and S7A). Control mice received the same treatment, except that an AAV1/GFP was injected in the vmPFC. Four weeks after injections, mice kept in T24 cycle (Figure S7B) received CNO in their drinking water for 2 weeks, as described above. Chronic activation of vmPFC- projecting PHb neurons induced significant alterations in mood, as evaluated using the TST and the FST ( Figures 7F-G).
We then investigated whether the chronic activation of DREADD-controlled PHb neurons could also cause cognitive deficits. Using the same protocol of chronic activation of mPFC-projecting PHb neurons, we found that the CNO treatment has no significant effect on learning and cognitive functions (Figures 7H-I). In the NOR test, both control and DREADD-controlled mice spent significantly more time exploring the novel object (Figures 7H and S7C). During the MWM, both group of mice displayed similar responses during the training and test phases (Figures 7I and S7D). In sum, these results suggest that the PHb is specific for driving the effects of light on mood.
PHb neurons are necessary for the effects of light on mood
We next evaluated whether the PHb is necessary for the mood alterations induced by the unnatural light cycle by inhibiting synaptic release specifically from PHb neurons. Tetanus toxin light chain subunit (tetX) was expressed in PHb neurons by injecting an AAV/Cre-GFP in mice that express tetX in a Cre- dependent manner (R26etX-Z/EG) (Zhang et al., 2008) (Figure 7J). Injection sites were confirmed post hoc by assessing GFP expression (Figures 7J and S7E). Four weeks after AAV injections, mice were housed in either T24 or T7 cycles for two weeks (Figure S7F). Remarkably, expressing tetX in PHb neurons prevented the T7 cycle-induced mood alterations as tetX-AAV injected mice housed under the T7 cycle were statistically indistinguishable from those housed under the T24 cycle on the TST, FST, and SPT ( Figures 7K-M and S7G). These results demonstrate that inhibiting PHb neurons blocks the mood alterations triggered by abnormal light cycles.
Next, we explore whether the PHb is specific in mediating the effects of light on mood or whether it is also activated by non-light dependent treatments that induce mood changes. For that, WT mice were exposed to three different paradigms known to cause mood changes in rodents (see STAR methods), and the induction of c-Fos was evaluated in PHb neurons, as well as in other brain regions known to be involved in mood control (Choi et al., 2013; Huang et al., 2004; Matsuda et al., 1996). For all the paradigms used, a significant increase in the number of c-Fos(+) cells were found in the LHb and prefrontal cortex, compared with control mice (Figures S7H-I), confirming the effectiveness of the paradigms used. However, these same stimuli did not cause a significant induction of c-Fos in PHb neurons. This is in distinct contrast to the robust c-Fos induction mediated by light (Figure S7J). Therefore, the PHb nucleus is part of a circuitry that specifically routes photic stimuli to influence mood.
Discussion
We have previously uncovered that ipRGCs are the sole retinal conduit responsible for signaling light information to modulate mood and cognitive functions (LeGates et al., 2012). Here, we reveal that: 1- Distinct ipRGC subpopulations drive the effects of light on learning and mood. 2- Brn3b(−) SCN- projecting ipRGCs relay light information to influence cognitive functions, without disrupting the central pacemaker. 3- The thalamic PHb mediates the ipRGC-driven effects of light on mood. Together, these results delineate two distinct retina-brain pathways that mediate the effects of light on learning and mood.
Light routed through SCN-projecting ipRGCs affects cognitive functions
The use of the Opn4Cre/+;Brn3bzDTA mouse line allowed us to implicate the ipRGC-SCN pathway in driving the effects of light on learning and memory, which is consistent with previous reports showing that a functional SCN is required for hippocampal learning (Fernandez et al., 2014; Ruby et al., 2008). This animal model, however, still retains minor ipRGC innervation to other brain regions, including the intergeniculate leaflet (IGL). This minor innervation is most likely arising from collaterals of the ~200 SCN-projecting ipRGCs (Fernandez et al., 2016) that remain in the Opn4Cre/+;Brn3bzDTA mice. It is possible that these minor innervations to the non-SCN targets could somehow contribute to the learning deficits observed in mice housed under the T7 cycle. However, based on the previous literature (Fernandez et al., 2014; Ruby et al., 2008) and the substantial innervation to the SCN, the most parsimonious explanation is that the SCN is the main driver of the effects of light on learning and memory.
Recent evidence showed that the SCN can act as a relay for light input to peripheral oscillators, even in the absence of a functional molecular clockwork machinery (Izumo et al., 2014). We found that the SCN remains responsive to light under the T7 cycle, as observed with the robust phosphorylation of CREB, solidifying the role of the SCN as a relay for light input. Additionally, we observed that SCN neurons become refractory to light-induced transcriptional changes, as suggested by the reduced levels of the immediate-early genes, including c-Fos, and the light-responsive clock gene, PER1. Light-induction of c-Fos and PER1 depends on two regulatory regions: CRE and SRE, through pCREB and pELK-1 binding, respectively (Chawla, 2002; Coogan and Piggins, 2003). Our results show that under the T7 cycle, the transcription factor ELK-1 is not phosphorylated in response to light, whereas the phosphorylation of CREB was unaffected. This result suggests that CREB and ELK-1 activation pathways are differentially affected by the T7 cycle, consistent with published reports indicating that different intracellular cascades cause phosphorylation of these activators (Coogan and Piggins, 2003; Xia et al., 1996).
The thalamic PHb is a relay for light-mediated mood control
ipRGCs show widespread projections throughout the brain, including areas controlling sleep and general activity, as well as limbic regions (Hattar et al., 2006). A principal target of ipRGCs revealed in this study is an area of the dorsal thalamus, the PHb, which expresses a circadian clock and shows distinctive connectivity. Our results indicate that the PHb constitutes a distinct thalamic region, with a different pattern of projections compared with the thalamic nuclei into which it has heretofore been subsumed. Specifically, the CL is connected to premotor frontocortical regions and to the dorsolateral striatum, (Voorn et al., 2004), and the thalamic LP nucleus projects to a diverse array of sensory and motor cortices (Noseda et al., 2010). We revealed that PHb neurons send collateral projections to vmPFC, dorsal and ventral striatum. Prefrontal cortex is fundamental to mood regulation, and has been consistently implicated in major depressive disorders (MDD) by imaging studies of patients (Frodl et al., 2009; Meng et al., 2014; Shen et al., 2017) and using animal models of mood disorders (Shrestha et al., 2015). Another target of PHb, the dorsomedial striatum, is integrated in a thalamo-frontocortical loop, which may be involved in affective-emotional processing. Reduced caudate and putamen volumes were described in MDD patients (Kerestes et al., 2015). The third target of PHb neurons is the ventral striatum, particularly the NAc, which has been extensively implicated in mood control and depression (Francis and Lobo, 2017). In sum, our results provide evidence for a previously unrecognized thalamic nucleus, the PHb, which is both necessary and sufficient for relaying the effects of light on mood.
Perspective
The retino-PHb pathway presented here can satisfactorily account for mood changes wrought by light and represents, therefore, a new general mechanism for mood regulation (Lazzerini Ospri et al., 2017; LeGates et al., 2014). Irregular light stimulation leads to mood alterations associated with changes in the thalamic PHb, including increased activity of PHb neurons, sustained light-mediated induction of the immediate-early gene c-Fos, and a breakdown of clock gene rhythmicity. We speculate that in humans, chronic exposure to light at night could cause similar neuronal changes leading to mood deficits, highlighting the negative impact of irregular light stimulation during the normal day/night cycle. This occurs in a context of lamentable stagnation in the development of effective treatments for mood disorders. While promising drug candidates exist currently undergoing trials, the sad truth is that no radically new class of antidepressants has reached the clinic since the introduction of SSRIs in the 1980s (Hillhouse and Porter, 2015).
Reduced cognitive functions have been extensively reported in patients suffering from MDD (Hammar and Ardal, 2009; Jaeger et al., 2006; Roh et al., 2016). Although a direct causal link is missing, current theories suggest that neuroanatomical changes in MDD patients may be the cause of cognitive deficits (Davidson et al., 2002). Our results demonstrate that anatomically distinct neuronal circuits are involved in different light-mediated behavioral deficits, and suggest that learning and mood deficits are affected independently. Understanding the neuronal basis for mood and learning regulation by light constitutes a promising step towards new treatments for neuropsychiatric disorders.
STAR METHODS
KEY RESOURCES TABLE
CONTACT FOR REAGENT AND RESOURCE SHARING
Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact, Samer Hattar (samer.hattar@nih.gov).
EXPERIMENTAL DESIGN AND SUBJECT DETAILS
Animals.
Mice were housed under a 12 h light: 12 h dark (T24) cycle at a temperature of 22°C with food and water ad libitum. Wild type mice of a mixed background (B6/129 F1 hybrid; Jackson Laboratory) were used in this study. Opn4Cre/+;Brn3bzDTA/+ mouse line was previously described (Chen et al., 2011). Briefly, we have shown that ~200 M1 ipRGCs, which are the only ipRGCs that do not express the transcription factor Brn3b (POU4F2) (Schmidt et al., 2011), exclusively innervate the SCN (Chen et al., 2011). Mice that express the Cre-dependent diphtheria toxin (DTA) under the control of the Brn3b promoter (Brn3bzDTA/+), were mated with Opn4Cre/Cre mice to obtain Opn4Cre/+;Brn3bzDTA/+ mice, where Brn3b-negative cells are the only ipRGCs to survive. Opn4aDTA/aDTA mouse line was previously described (Güler et al., 2008). ROSASynaptophysm-tdTomato mice (Jackson laboratory, Stock No: 012570) were mated with Opn4CreERT2 mice (Ecker et al., 2010) to generate a mouse line (Opn4CreERT2/+;ROSASynaptophysin-tdTomato) in which most ipRGCs expresses the fused protein (induced by high doses of Tam) in axonal terminals. Mice that express tetX in a Cre-dependent manner (R26tetX) were previously described (Zhang et al., 2008). All animals were handled in accordance with guidelines of the Animal Care and Use Committees of Johns Hopkins University, University of Maryland, Brown University, and the National Institute of Mental Health (NIMH). All efforts were made to minimize the pain and the number of animals used. Calculation of sample size per experiment was determined, or confirm by post hoc analyses, using a G*Power 3 software (Charan and Kantharia, 2013; Faul et al., 2009).
Rhythmic activity measurement.
Single-housed mice were exposed to the T24 and/or T7 cycles, and light intensity was kept ~500 lux (provided by Philips Daylight deluxe fluorescent lamps), measured using a light meter (EXTECH Foot Candle/Lux Light Meter, 401025). The general activity of mice was monitored using infrared motion detectors from Mini Mitter (Respironics) mounted to the top of the cages. Data was collected in 10-min bins using VitalView software (Mini Mitter, OR). The total activity and period lengths were calculated using ClockLab (Actimetrics, IL).
Chronic control of PHb function.
Silencing of PHb neurons:
Mice that express tetX/GFP in a Cre- dependent manner, and littermate controls, were stereotaxically injected with an AAV5/Cre in the PHb region (bilateral injections). Four weeks post injection, mice were exposed to T24 or the T7 cycles.
Chronic DREADD strategy.
c-FosCreERT2 and littermate Cre-negative (Control) mice were stereotaxically injected with a Cre-dependent AAV5/DIO-hM3D-mCherry in the PHb region (bilateral injections). A week later, mice were subjected to a light pulse (15-min, 1000 lux, CT14), and immediately injected with 4OH-tamoxifen (50 mg/kg i.p., H7904 Sigma) to induce Cre-recombination. After the light pulse, mice were in darkness for 24 hours, and then kept under T24 cycle for 4 weeks, before starting with the experiments. c-FosCreERT2 mice injected with the AAV that received 4OH-Tam, but without the light pulse exposure, were used as control of non-light-mediated c-Fos induction.
CNO in drinking water:
The effectiveness of clozapine-N-oxide (CNO, C0832 Sigma) dissolved in drinking water (5μg/ml) was compared to CNO i.p. injections. For that, c-Fos induction (in AAV-infected neurons) was immunohistochemically evaluated in mice that were perfused either 12 hours after been exposed (and having access) to CNO dissolved in drinking water, or 2 hours after a single i.p. injection of CNO (1mg/kg); in both cases, mice were kept in constant darkness during the experiment. To achieve chronic DREADD control, water + CNO was given to mice during 14 days, and fresh solution was daily replaced (10 ml per day). The consumption of water + CNO was daily measured.
CNO i.p. injections:
In a different set of experiments, 4 weeks after light pulse + 4OH-Tam administration, CNO was intraperitoneally (i.p.) injected (1mg/kg) twice a day (CT 13, and CT 18), during 14 days. To minimize the stress effect, tuberculin syringes were used.
Behavioral test.
Single-housed mice were kept under the T24 or T7 cycles for 2 weeks before testing, as previously described (LeGates et al., 2012). The general activity of mice was monitored using infrared sensors and behavioral tests were performed between CT 12 – 14 (during active phase). In all cases, room was illuminated using dim red lamps.
Mood-related behavior:
Opn4Cre/+ and Opn4Cre/+;Brn3bzDTA/+ mice were tested for either the sucrose preference, TST or the FST. TetX mice (and respective controls) were first evaluated for sucrose preference followed by either TST or FST. Mice with chronic activation of PHb neurons (AAV DREADD and their respective controls) that received CNO in drinking water were exposed to either the TST or FST.
Sucrose Preference:
Mice were acclimated to the 2-bottle water delivery system for 3 days. Sucrose preference was then assessed over two consecutive days. Each day, one bottle containing 1% sucrose and one bottle containing water was introduced at the beginning of the active phase of mice. Sucrose preference was calculated by dividing the amount of sucrose consumed by the total volume consumed (water + sucrose).
Tail suspension:
Mice were suspended by the tail using tape. White chambers prevented interaction between them. A maximum of six animals were tested simultaneously. Mouse activity was recorded during 6 min. At the end of the session, mice were placed back in their home cages. Immobility time was analyzed manually following the criteria described in (Can et al., 2012).
Forced swim test:
Mice were placed in an inescapable container of water (25 °C) for 6 min. Behavioral response was monitored using a video camera positioned in front of the apparatus and scored using a computerized video tracking system (ANYmaze). Time spent immobile for the last 4 min of the test was calculated.
Cognitive function tests:
mice were tested for both the NOR test and the MWM. All behavioral tests were performed in a blind manner by a single observer.
Novel Object recognition test:
On day 1, mice were placed in an open arena (40 cm x 30 cm) and were allowed to explore during 10 minutes before being returned to their home cage. On day 2, mice were placed in the same open arena with two identical objects. After 10 minutes, mice were returned to their home cage. After an hour, mice were placed back in the arena for 5 minutes with the familiar object and a novel object. Mice were monitored and tracked for object exploration and the time was calculated for the percentage of time spent with the novel versus the familiar object (ANYmaze software). At the end of the experiment, mice were placed back in their home cages and the arena and objects were sanitized with 70% v/v ethanol. The objects used in this test had been previously validated using an independent cohort of wildtype mice, which did not display significant preference for any of them.
Morris Water Maze:
Mice were placed in a circular pool (150 cm diameter) to swim to a hidden platform (submerged in the pool such that 1cm of water covered the platform hiding it from sight). Four different (in shape and color) cues were attached to the side of the pool equidistant from one another, and the pool was surrounded by a plain curtain to block any other visual cues. Water was mixed with non-toxic white paint to render it opaque. Water temperature was maintained between 20–25°C during experiments by water heaters designed for fish aquariums. On day 0, mice were trained to escape the pool using a visual cue located on top of the platform to familiarize them with the test. Once the mouse either finds the island or swims for 90 seconds without finding the island, it was removed from the pool and placed back in its cage. This was performed four times with an inter-trial interval of 30 min, and the platform was moved between each trial. During the acquisition phase, mice were trained (one trial per day for 12 days) to find the hidden platform using the four visual distal cues surrounding the pool. The mouse was randomly placed in a different area of the pool at the start of each trial with the platform maintained in the same quadrant (target quadrant). Mice were allowed to swim for a maximum of 90 seconds and supervised for the full time in the pool. The platform was removed on day 13 in the probe trial. The swimming in each quadrant (T: target, Al: adjacent 1, A2: adjacent 2, O: opposite, quadrants) and specifically the preference for the target quadrant was measured to evaluate spatial memory using a computerized video tracking system (ANYmaze). Reversal training began on day 14 when the platform was moved to the quadrant opposite the original target quadrant. Mice were trained as described for the acquisition phase. During acquisition phase and reversal training, the latency to find the platform was measured; probe trial was analyzed by calculating the percentage time spent in the target quadrant.
Light-independent paradigms of mood alterations.
WT mice (3 months old) individually housed in T24 light cycle were exposed to a learned helplessness, forced-swim, or social defeat paradigms at CT 14 (two hours after the beginning of active phase). During the sessions mice were kept in darkness to avoid any light-mediated effect on c-Fos induction. Control mice were perfused at similar CTs.
Learned helplessness paradigm:
Mice were exposed to sessions of inescapable foot shocks on two consecutive days, as previously described (Huang et al., 2004; Kim et al., 2016), with minor modifications. Each session consisted of a total of 300 randomized electric foot shocks (300 μA intensity, 1–3 s duration, 5–15 s inter-shock intervals; Coulboum precision animal shocker) applied during a period of ~60 min. After the second session, mice were kept in darkness for 30 min, and perfused for histochemical analysis.
Forced-swim paradigm:
Mice were exposed to two sessions of inescapable swimming on two consecutive days, following (Choi et al., 2013), with minor modifications. On day 1, mice were individually placed in a container of water (25 °C) for 15 min; after that, mice were returned to their home cages. On day 2, mice were placed in the same pool for 5 min, then kept in darkness for 80 min, and finally perfused.
Social defeat paradigm:
Cages with a plastic mesh dividing the arena into two similar areas were used. The protocol used was following (Matsuda et al., 1996; Venzala et al., 2012), with minor modifications. On day 1, an intruder C57B6/J mouse was placed into the compartment housing a resident CD1 mouse, allowing physical interaction for 5 minutes. After that, intruder mouse was placed on the next compartment of the same cage, allowing sensory contact for 24 hours. This procedure was repeated during 4 consecutive days. On day 4, intruder mice were exposed to physical interaction, returned to their home cages and perfused 80 min later.
METHODS DETAILS
Light-mediated gene induction/ protein phosphorylation.
T24 and T7 cycles-housed mice (for 2 weeks) were kept in darkness for 1 day to avoid any prior light exposure effect. Two hours after the onset of activity (CT 14), mice were subjected to a 15-min light pulse (1000 lux), using 23-Watt compact fluorescent light bulbs (GE Daylight FLE10HT3/2/D) with a color temperature of 6500 K to simulate natural sunlight. For CREB, ELK-1 and H3 phosphorylation analysis, mice were intracardially perfused with 4% paraformaldehyde immediately after the end of the light pulse, while for PER1 and c-Fos induction, mice were kept in darkness for 90 min after light pulse and then perfused. Coronal brain sections were blocked for 2 hours in 1x PBS containing 3% heat-inactivated goat serum and 0.3% Triton X-100, and then incubated using the following primary antibodies (for 1 day at 4°C): rabbit antibody α - cFos (Calbiochem Ab-5; 1:20000); rabbit antibody α-PER1 (a generous gift from Dr. David Weaver); rabbit α-pCREB-Ser133 (Cell signaling 9198, 1:500); rabbit α-pELK-1-Ser383 (Cell Signaling 9181; 1:1000); rabbit α-pH3-Ser10 (Cell signaling D2C8; 1:1000). The immunohistochemical detection was performed using a Vectastain HRP kit (Vector Labs) based on biotin-streptavidin-peroxidase, and visualized using 3,3’-diaminobenzidine (DAB) as chromogen. Finally, sections were mounted on microscope slides, dehydrated, and coverslipped. For characterization of PHb identity (thalamus vs. epithalamus), immunofluorescence analyses were performed as described below. The quantification analyses were performed as described in sections Optical density analysis and c-Fos induction.
PER1/2 rhythmic expression.
After T24 or T7 cycles exposure, mice were kept in constant darkness for at least 24 hours to avoid any light mediated gene-induction effects. The general activity of mice was monitored, and animals were perfused at CT 1, 7, 13, or 19. Coronal brain sections were used to assess the levels of clock gene expression in the SCN and PHb. A rabbit antibody α-PER1 or a rabbit α-PER2 (Alpha Diagnostic PER21-A, 1:4000) antibody were used, and the immunohistochemical detection was performed as described above. The analysis was performed as described in the section Optical density analysis.
Immunofluorescence.
Brain sections and retinas were incubated in 0.1M PBS with 3% Goat serum (Vector Labs) and 0.3% Triton X-100 (Sigma-Aldrich) for 2 hours, and then incubated using the following antibodies (1–2 days, at 4°C): rabbit α-Melanopsin (Advanced Targeting AB-N38, 1:500); rabbit α-RFP (MBL PM005, 1:1000); chicken α-GFP (AbCam Ab13970, 1:2000); guinea pig IgG α- VGlut2 (Millipore AB2251, 1:1000); mouse IgG1 α-c-Fos (EnCor MCA-2H2, 1:1000); rabbit α-c-Fos (Calbiochem AB-5, 1:1000); mouse IgG1 α-Brn3a (brain-specific homeobox/POU domain protein 3A, Millipore MAB1585, 1:250); rabbit α-GRID2IP (glutamate receptor ionotropic delta 2-interacting protein 1, Bioss bs-11347R, 1:1000); rabbit α-PKCd (AbCam, 1:2000). GRID2IP immunostaining required an antigen retrieval step (citrate buffer, at 85°C for 30 min). After several washing steps, Alexa-conjugated secondary antibodies were used (Molecular Probes, 1:500, for 2 hours at room temperature). Finally, slides were mounted using AntiFade medium (Molecular Probes). Images were acquired using an LSM- 510 confocal microscope (Zeiss).
Melanopsin immunohistochemistrv and dendritic reconstruction:
Retrolabeled RGCs were imaged on a Zeiss LSM 510 confocal microscope. Images were taken at 40x magnification across the depth of the inner plexiform layer (IPL) for each cell (Z-stack) to capture dendritic stratification revealed by melanopsin expression. Stacks were imported into Photoshop (Adobe) and reconstructed by tracing immunolabeled dendrites from retrolabeled somas through adjacent planes of the Z-stack. Cells with dendrites that branched in only the inner ON sublamina of the IPL were classified as Ml ipRGCs; those with dendrites in both the ON and OFF IPL sublaminae were classified as M3 ipRGCs.
SCN dissection and RNA-sequencing.
Mice housed under T24 or T7 cycles were kept in darkness for 1 day, and a light pulse was applied (15 min) at CT14. An hour later, brains were isolated under red dim light and placed ventral side up on an ice-cold coronal slice brain matrix (Kent Scientific). A 1 mm coronal slice of the brain was made with ice-cold razor blades positioned surrounding the optic chiasm. The slice was laid flat on one of the blades and the SCN was collected using a 1mm diameter sample corer (FST) and immediately placed in Qiazol chilled on ice and stored at −80C. SCN tissue samples from 3 mice were pooled for each biological replicate in all conditions. Following dissection, RNA was extracted using a Qiagen RNeasy lipid tissue mini kit and processed with an Illumina RiboZero Gold kit. Sequencing libraries were prepared with the Illumina TrueSeq RNA-v2 kit. Libraries were multiplexed and sequenced on a Hiseq4000 using 75bp paired-end reads to a depth of at least 130 million reads per sample. Reads were mapped to the mouse reference genome (mm10) with STAR (v2.4.2a) and read counts were generated with htseq-count from the HTSeq python package (v0.9.1). Differential expression analysis was performed with DESeq2. Gene ontology (GO) analysis was performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) (Huang et al., 2009).
Retinal injections.
Retinal projections were visualized using intravitreal injections (1μl) of the tracer cholera toxin (β-subunit (CTβ) fluorescently conjugated (Alexa Fluor 488 or 594, Thermofisher). AAVs (lμl) were also injected in order to infect RGCs. Mice were anesthetized by i.p. injections of avertin (2, 2,2- Tribromoethanol) and placed under a stereo microscope. A glass needle (pulled 10-μl microcapillary tube, Sigma P0674) and a 10-μl Hamilton syringe were used to drive the solution into the vitreous chamber of the eye to ensure delivery specifically to the retina. Mice recovered from injections on a heating pad until they woke from anesthesia. After injections, animals were given 3 to 4 days recovery period. Mice were deeply anesthetized by intraperitoneal (i.p.) injection of avertin (2, 2, 2- Tribromoethanol), and perfused intracardially with 4% paraformaldehyde. Brains were post-fixed overnight in the same fixative, and brain sections were obtained using a cryostat. In some cases, eyes were also removed and retinas were dissected in oxygenated Ames medium (Sigma-Aldrich). Relieving cuts were made to mount retinas flat on a piece of lens paper. Retinas were then incubated in 4% paraformaldehyde (Electron Microscopy Sciences) overnight at 4°C.
Stereotaxic injections.
Mice were deeply anesthetized, and CTβ, AAVs or gΔRabies were stereotaxically delivered. All coordinates used follows the Paxinos and Franklin mouse atlas (Franklin and Paxinos). A 10μl microcapillary pipette was pulled and loaded with the solution; Injections were performed using a microinjector (Nanojector II, Drummond Scientific Company). A heating pad was used to maintain the body temperature. Before and after surgery, systemic analgesics (buprenorphine, 0.1 mg/kg) were administrated. For anatomical analysis mice were perfused at different times post injection (3–4 days after CTβ injection, 4 weeks after AAVs injection, or 5 days after gΔRabies injection) and the brains were subsequently sectioned on a cryostat. In specific experiments, retinas were also dissected out after perfusion and post-fixed for 1 hour.
Electrophysiology.
Mice were intravitreally injected with an AAV2/hSyn-hChR2(H134R)-EYFP (University of North Carolina Vector Core). Three to four weeks post injection, mice were anesthetized and decapitated. Brains were removed into an iced cutting solution, oxigenated with 95% 02/5% CO2 containing: (in mM): 234 sucrose, 26 NaHCO3, 11 dextrose, 10 MgCl2, 2.5 KC1, 1.25 NaH2PO4, and 0.5 CaCl2. Coronal slices (300 μm) were prepared using a VT1200S vibratome (Leica Microsystems Inc., Buffalo Grove, IL); slices were then incubated for 20 minutes at 34°C immersed in oxygenated artificial cerebrospinal fluid (ACSF) solution containing (in mM): 126 NaCl, 26 NaHCO3, 10 dextrose, 2.5 KC1, 1.5 MgCl2, 1.25 NaH2PO4, and 1.15 CaCl2. Slices were then held at room temperature in the same ASCF, and recordings commenced at least thirty minutes after high-temperature incubation. For recordings, slices were perfused with ACSF at ~34°C. Labeled retinal fibers were visualized using oblique deep-red illumination under a 60X water-immersion lens (Olympus) mounted on an Axioskop 2 FS plus upright microscope (Carl Zeiss Microscopy, LLC, Thomwood, NY) equipped with Plan N 4x and LUMFLN 60XW objectives (Olympus, Tokyo, Japan), part 91015 filter cube with set number 49002 EGFP bandpass filter set (Chroma Technology Corporation, Bellows Falls, VT), M470L3 mounted LED controlled by a LEDD1B driver (Thorlabs, Inc., Newton, NJ), and Ximea MQ013MG-E2 digital camera (XIMEA, Münster, Germany). Recording pipettes contained (in mM): 95 CsCH3S03 (voltage-clamp recordings) or 95 K D-gluconate (current-clamp recordings), 20 TEA-C1 or 20 mM NaCl (voltage-or current-clamp recordings, respectively), 10 HEPES, 8 P04-creatine, 4 Mg-ATP, 1 4-AP, 1 BAPTA, and 0.4 GTP Tris, pH 7.2; 2 QX314 was sometimes added to block voltage-gated Na+ channels. Neurons were filled with biocytin (0.1%) during the recording session for post hoc morphological reconstruction. Membrane potentials and currents were recorded using a Multi Clamp 700B amplifier (Molecular Devices, Sunnyvale, CA). Amplifier output was filtered at 4 kHz and digitized at 20 kHz using an ITC-18 data acquisition interface controlled by custom-written software (Igor Pro; Wavemetrics). Offline analysis was performed using Igor Pro. Holding potentials were corrected for a −10 mV junction potential. Access resistances were typically ~20 MΩ, and were compensated by ~15–30%. For ChR2 stimulation, the M470L3 mounted LED and LEDD1B driver were triggered using a TTL wave consisting of 2 ms pulses at varying frequencies generated in IGOR Pro. PHb neurons considered to receive retinal input were defined according to their location in an area innervated by retinal fibers (YFP expression), and due to the time-locked nature of the evoked EPSC relative to laser onset (averaged of several trials).
Hippocampal recordings.
Opn4Cre/+ and Opn4Cre/+;Brn3bzDTA/+ mice were exposed to the T24 or T7 cycles for 2 weeks. Mice activity was monitored and samples were obtained at the beginning of the active phase of mice (CT 12–14). Coronal hippocampal slices (0.4 mm) were used to evaluate hippocampal LTP, as previously described (LeGates et al., 2012). Slices were obtained and collected in ice-cold dissection buffer (2.6mM KCl, 1.23mM NaH2PO4, 26mM NaHCO3, 212.7mM sucrose, 10mM dextrose, 3mM MgCl2 and 1mM CaCl2, bubbled with 5% CO2, 95% O2). For recording, the same buffer was used, except that sucrose was replaced by NaCl, and the temperature raised to 30oC. LTP protocol was delivered after 20 min of stable baseline transmission. Schaffer collaterals were stimulated to obtained synaptic responses in CA1 stratum radiatum (0.33 Hz stimulation, 0.2-ms pulses (concentric bipolar electrodes, FHC)). One or four theta epochs (each epoch consisted of 10 trains of four pulses (at 100 Hz) delivered at 5 Hz) were used to obtain LTP responses.
Fiber Photometry.
The fiber photometry apparatus consists of two LEDs (Doric Lenses) emitting 405 and 465 nm light respectively delivering light through a rotary joint to a 200 um optical fiber (Doric Lenses or ThorLabs) implanted in the region of interest in the brain of a freely moving animal; light collected by the fiber passes through a filter/beam splitter (Doric Lenses) capable of separating light in the 420–450 nm range from light in the 500–550 nm range, and is detected by two H10722 photomultiplier tubes (Hamamatsu), one for each frequency range. The signal is digitized and acquired by a computer. Data analysis was carried out with Matlab (Mathworks) and Origin (OriginLab). Briefly, both the GCaMP6 emission signal and the auto-fluorescence from the tissue were recorded at the same time at a sampling rate of 0.3 kHz. Both were processed with a FFT filter to reduce noise. Auto-fluorescence intensity was transformed by constants determined for each experiment by linear regression of the GCaMP6 signal; it was then subtracted from the GCaMP6 signal in order to remove artifacts. For all the experiments, the same mice were tested for both the T24 and T7 cycles. This avoids any potential variations due to differential transfection and expression levels. In all cases the excitation light was the same between T24 and T7 cycles, and different animal signals were normalized to baseline for averaging.
Optic fiber implantation:
After isoflurane anesthesia, the mouse’s head was fixed to a stereotaxic apparatus; the skull was exposed after application of povidone/iodine and 70% ethanol; one anchor screw was driven into the skull; a hole was drilled over the region of interest (with coordinates calculated from bregma), and after thorough removal of bone debris, the optical fiber (Doric Lenses, inner diameter = 200 (μm, NA = 0.37; or Optogenix, inner diameter = 200 μm, NA = 0.66) was lowered into the brain at a speed of ~200 μm/min. On reaching the appropriate dorsoventral coordinate, the fiber was secured in place by application of dental cement around its exposed portion, encased in a metal ferrule.
QUANTIFICATION AND STATISTICAL ANALYSIS
Morphometric analysis.
For all morphometric image processing, digitalized captured TIF-images were assembled and processed with Zeiss Zen software (Zeiss) and/or Adobe Photoshop (Adobe Systems), and transferred to ImageJ software (NIH, USA). Sample analysis was performed with the experimenter blind to condition. All the nomenclature used in the manuscript follows that of Paxinos and Franklin (Franklin and Paxinos).
Optical density analysis:
Digital images were obtained using an inverted microscope (Zeiss Axioimager.Ml), converted to 8-bits grey scale and the optic density (relative to total area) was measured. For both the SCN and PHb, total area of analysis was manually outlined in coronal brain sections. In all cases, 3 independent sections per animal were quantified and averaged.
Light-mediated c-Fos induction:
For both the SCN and PHb, total area of analysis was manually outlined in coronal brain sections. For the SCN, bilateral nuclei were evaluated; and for the PHb only one side of the coronal section was evaluated. Results obtained from 3 separate sections/nucleus were averaged per animal.
Characterization of light-induced c-Fos expression in PHb neurons:
Total area of analysis was manually outlined in coronal brain sections. Double positive PHb cells (c-Fos(+), Bm3a(+) or c-Fos(+), GRID2(+)) were quantified relative to total number of c-Fos(+) cells. Results obtained from 5 separate sections/animal were averaged.
c-Fos induction in light-independent models of depression:
The number of c-Fos(+) cells were evaluated in the PHb, LHb, and vmPFC. As described above, three different protocols known to induce mood alterations were used. For the PHb, total area of analysis was manually outlined; the total LHb area was used for quantification; whereas an area of 1.21 × 0.64 mm was used for the vmPFC. In all cases, the number of c-Fos(+) cells was obtained from only one side of these bilateral structures. Results obtained from 5–6 separate sections/nucleus were averaged per animal.
Statistical Analysis.
Statistical analysis of results was made by using unpaired Student’s t test, analysis of variance (ANOVA), followed by Tukey’s or Dunnett’s tests, as stated. For the Sucrose preference and NOR tests, a One sample t-test compared to a ‘test value’ = 50 was also performed. All the analyses were done using GraphPad Prism, version 7.
RNA-seq differential expression testing was performed in DESeq2 with a Wald test followed by p-value adjustment for false discovery rate using the Benjamini-Hochberg procedure, as described (Love et al., 2014).
KEY RESOURCES TABLE
Supplementary Material
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Antibodies | ||
anti-Brn3a | Millipore | Cat #MAB1585 |
anti-cFos | Calbiochem | Cat #Ab-5 |
anti-cFos | EnCor | Cat #MCA-2H2 |
anti-GFP | Abcam | Cat #Ab13970 |
anti-GRID2IP | Bioss | Cat #bs-11347R |
anti-Melanopsin | Advanced Targeting | Cat #AB-N38 |
Anti-NPY | Peninsula Lab | Cat #T-4070 |
anti-pCREB-ser133 | Cell signaling | Cat #9198 |
anti-pELK-1-Ser383 | Cell Signaling | Cat #9181 |
anti-PER1 | A generous gift from Dr. David Weaver | n/a |
anti-PER2 | Alpha Diagnostic | Cat #PER21-A |
anti-pH3-Ser10 | Cell signaling | Cat #D2C8 |
anti-PKC delta | Abcam | Cat #ab182126 |
anti-RFP | MBL | Cat #PM005 |
anti-Vglut2 | Millipore | Cat #AB2251 |
Bacterial and Virus Strains | ||
AAV1/hSyn-HI-eGFP-Cre-WPRE.SV40 | Penn Vector Core | Cat #AV-1-PV1848 |
AAV1/CAG-Flex-GCaMP6f-WPRE.SV40 | University of Pennsylvania viral core | Cat #AV-1-PV2816 |
AAV1/hSyn-HI-eGFP-Cre-WPRE.SV40 | Penn Vector Core | n/a |
AAV1/Syn-GCaMP6m-WPRE.SV40 | University of Pennsylvania viral core | Cat #AV-1-PV2823 |
AAV2/synP-DIO-sTpEpB.WPRE.bGH | Penn Vector Core | n/a |
AAV5/CAG-Flex-GCaMP6f.WPRE.SV40 | University of Pennsylvania viral core | Cat #AV-5-PV2816 |
AAV8.2/EF1a-DIO-synaptophysin-tdTomato | McGovern Institute Viral core | Cat #AAV1 |
AAVDJ/EF1a-DIO-GCaMP6f | Stanford University viral core | Cat #GVVC-AAV-093 |
CAV2/cre | Institut de Génétique Moléculaire de Montpellier CNRS UMR | n/a |
EnvA G-deleted Rabies-mCherry | Salk Vector Core | n/a |
HSV/cre | McGovern Institute Viral core | Cat #RN425 |
rAAV2/hSyn-hChR2(H134R)-YFP-WPREpA | UNC Vector Core | n/a |
rAAV5/hSyn-DIO-hm3D-mCherry | UNC Vector Core | n/a |
rAAV5/Syn-Cre-GFP | UNC Vector Core | n/a |
Biological Samples | ||
Chemicals, Peptides, and Recombinant Proteins | ||
3,3’-diaminobenzidine | Sigma | Cat #D8001 |
4OH-tamoxifen | Sigma | Cat #H7904 |
AntiFade medium | Molecular Probes | Cat #P36980 |
Avertin (2, 2, 2-Tribromoethanol | Sigma | Cat #T48402 |
Biocytin | Sigma | Cat #B4261 |
Cholera toxin β-subunit (CTβ) fluorescently conjugated | ThermoFisher | Cat #C22842; C22841 |
Clozapine-N-oxide | Sigma | Cat #C0832 |
Normal Goat Serum | Vector Labs | Cat #S-1000 |
Paraformaldehyde | Electron Microscopy Sciences | n/a |
Tamoxifen | Sigma | Cat #T5648 |
Critical Commercial Assays | ||
Ribo-Zero Gold rRNA Removal Kit | Illumina | Cat #MRZG126 |
RNeasy Lipid Tissue Mini Kit | Qiagen | Cat #74804 |
TruSeq RNA Library Prep Kit v2 | Illumina | Cat #RS-122–2001 |
Vectastain HRP kit | Vector Labs | Cat #PK-6101 |
Deposited Data | ||
Raw and analyzed (SCN) RNA-seq data | This paper GSE113875 | n/a |
Mus musculus reference genome (mm10) | UCSC Genome Browser https://genome.ucsc.edu/cgi-bin/hgGateway?db=mm10 | n/a |
Experimental Models: Cell Lines | ||
Experimental Models: Organisms/Strains | ||
Mouse: C57BL/6J | The Jackson laboratory | Cat #000664 |
Mouse: CD-1 | Charles River labs | Cat #022 |
Mouse: cFosCreERT2 | The Jackson laboratory | Cat #021882 |
Mouse: Opn4aDTA/aDTA | Generated in the laboratory of Dr. Hattar | n/a |
Mouse: Opn4Cre/+;Brn3bzDTA/+ | Generated in the laboratory of Dr. Hattar | n/a |
Mouse: Opn4CreERT2 | Generated in the laboratory of Dr. Hattar | n/a |
Mouse: ROSASynapmiddlehysin-tdTomato | The Jackson laboratory | Cat #012570 |
Oligonucleotides | ||
Recombinant DNA | ||
Software and Algorithms | ||
Adobe Photoshop | Adobe Systems | n/a |
ANY-maze Behavioral tracking software | Stoelting Co. | n/a |
ClockLab | Actimetrics, IL | n/a |
Database for Annotation, Visualization and Integrated Discovery (DAVID) | Huang et al., 2009 https://david.ncifcrf.gov | n/a |
DESeq2 | Love et al., 2014 https://bioconductor.org/packages/release/bioc/html/DESeq2.html | n/a |
G*Power | Faul et al., 2009 Version 3.1 | n/a |
GRAPHIC STATE Software for Behavioral Research | Coulbourn Version 2.101 | n/a |
GraphPad Prism 7.04 | GraphPad software | n/a |
HTSeq-count | Anders et al., 2015 https://github.com/simon-anders/htseq | n/a |
IgorPro | Wavemetrics | n/a |
ImageJ software | NIH, USA | n/a |
MAtlab | Mathworks | n/a |
Origin | OriginLab | n/a |
STAR v2.4 | Dobin et al., 2013 https://github.com/alexdobin/STAR | n/a |
VitalView software | Mini Mitter, OR | n/a |
Zeiss Zen software | Zeiss | n/a |
Other | ||
23-Watt compact fluorescent light bulbs | GE Daylight | Cat #FLE10HT3/2/D |
Coronal slice brain matrix | Kent Scientific | Cat #RBMA-200C |
Coulbourn precision animal shocker | Coulbourn | Cat #H13–17A |
Hamilton syringe | Hamilton | Cat #701 LT SYR |
Light meter | EXTECH | Cat #401025 |
Microcapillary tube | Sigma | Cat #P0674 |
Highlights.
Distinct ipRGC subpopulations drive the effects of light on learning and mood
SCN-projecting ipRGCs affect learning, without disrupting the central pacemaker
The ipRGC-PHb pathway drives the light-mediated mood alterations
Thalamic PHb is integrated in a distinctive circuitry with mood-regulating centers
The effects of light on learning and mood via intrinsically photosensitive retinal ganglion cells involve a pacemaker-independent role for the suprachiasmatic nucleus as well as distinct circuitry in a region of the thalamus called the perihabenular nucleus.
ACKNOWLEDGMENTS
We would like to thank the Johns Hopkins Biology Mouse Tri-Lab, especially Dr. Rejji Kuruvilla, for support and discussion, the Department of Biology at the University of Maryland, Dianne and Kimberly Boghossian for assistance maintaining and genotyping mice, Dr. Antonello Bonci, Dr. Yeka Aponte and their lab members for help addressing reviewers’ concerns, and Elaine Nguyen for help with tracer injections. We would like to thank Mio Akasako for her key assistance with the retrolabeling experiments. This work was supported by the NIH grants GM076430 and EY027202, EY012793 and EY017137, the generous contributions of the Alcon Research Institute (to DB), PEW Charitable Trusts (to DCF), the NSF grant I2011104359 (to MF), and the intramural research at the National Institute of Mental Health.
Footnotes
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DATA AND SOFTWARE AVAILABILITY
Raw and processed gene expression data from RNA-sequencing experiments are available on the Gene Expression Omnibus under accession number GEO: GSE113875. Data from this study are available from the corresponding author upon request.
DECLARATION OF INTERESTS
The authors declare no competing financial conflicts of interest.
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