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Rai1 frees mice from the repression of active wake behaviors by light

  1. Shanaz Diessler
  2. Corinne Kostic
  3. Yvan Arsenijevic
  4. Aki Kawasaki
  5. Paul Franken  Is a corresponding author
  1. University of Lausanne, Switzerland
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Cite this article as: eLife 2017;6:e23292 doi: 10.7554/eLife.23292

Abstract

Besides its role in vision, light impacts physiology and behavior through circadian and direct (aka ‘masking’) mechanisms. In Smith-Magenis syndrome (SMS), the dysregulation of both sleep-wake behavior and melatonin production strongly suggests impaired non-visual light perception. We discovered that mice haploinsufficient for the SMS causal gene, Retinoic acid induced-1 (Rai1), were hypersensitive to light such that light eliminated alert and active-wake behaviors, while leaving time-spent-awake unaffected. Moreover, variables pertaining to circadian rhythm entrainment were activated more strongly by light. At the input level, the activation of rod/cone and suprachiasmatic nuclei (SCN) by light was paradoxically greatly reduced, while the downstream activation of the ventral-subparaventricular zone (vSPVZ) was increased. The vSPVZ integrates retinal and SCN input and, when activated, suppresses locomotor activity, consistent with the behavioral hypersensitivity to light we observed. Our results implicate Rai1 as a novel and central player in processing non-visual light information, from input to behavioral output.

https://doi.org/10.7554/eLife.23292.001

Introduction

In addition to its evident importance for vision, light is essential for multiple physiological functions. For instance, light is the most potent environmental signal ensuring correct entrainment of endogenously generated circadian rhythms to the external 24 hr day. In mammals, light information encoded in the retina and received by the suprachiasmatic nuclei (SCN), which harbor the master circadian pacemaker, can reset circadian rhythm phase of overt behaviors such as sleep and locomotor activity (Brainard and Hanifin, 2005). Apart from these circadian effects, light also directly impacts physiology, behavior, and cognition, including the well-known light suppression of the circadian hormone melatonin, as well as the maybe less well known light-induced increases in body temperature, cortisol, heart rate, alertness, performance, and mood (Badia et al., 1991; Cajochen et al., 1992, Cajochen et al., 2000; Leproult et al., 2001; Lewy et al., 1980; Scheer et al., 2004; Stephenson et al., 2012). These activating effects of light are observed in diurnal species, like us, while in nocturnal species, like the mouse, light favors sleep and suppresses locomotor activity (Aschoff and von Goetz, 1988). In patients diagnosed with Smith-Magenis syndrome (SMS), despite unimpaired vision, a number of symptoms strongly suggest that non-visual light perception is compromised. Whether these effects are direct or mediated through the circadian system is currently unknown. The aim of the current study was therefore to take advantage of an SMS mouse model to elucidate which of the pathways encoding light information were underlying some of the behavioral and physiological characteristics of the disease.

SMS is a multiple congenital anomalies/mental retardation disorder associated with a heterozygous interstitial deletion on chromosome 17p11.2 in >95% of patients (Edelman et al., 2007; Greenberg et al., 1991; Smith et al., 1986), or rarely with point mutations in Retinoic acid induced 1 (Rai1), a gene located within this deletion (Slager et al., 2003). Common phenotypic features include obesity, self-injurious, aggressive behavior, as well as distinct craniofacial and skeletal abnormalities (Edelman et al., 2007). Among the cardinal symptoms are sleep disturbances, including early sleep on- and offset, repeated and prolonged nocturnal awakening, as well as excessive daytime sleepiness (Smith et al., 1998a). Sleep disturbances during the night are likely to contribute not only to daytime sleepiness, but also to temper tantrums, hyperactivity, and attention deficits during the day (Smith et al., 1986, Smith et al., 1998b; De Leersnyder et al., 2003). In conjunction with these sleep-wake disturbances, remarkably, the time course of melatonin levels shows an inverted rhythm in SMS patients, peaking during daytime and with low concentrations at night (De Leersnyder, 2006; Potocki et al., 2000), lending further support to the notion of a circadian misalignment and/or impaired light perception.

Because patients with Rai1 mutations display most of the SMS features (Edelman et al., 2007; Potocki et al., 2003), including the sleep/circadian phenotype, Rai1 haplo-insufficiency is thought to be causal (Smith et al., 1998a; Dubourg et al., 2014). A mouse model for SMS has been engineered and Rai1 haplo-insufficient mice recapitulate some of the SMS features such as obesity and craniofacial phenotypes (Bi et al., 2005). Although aspects of circadian rhythms of locomotor activity have been evaluated in these mice (Lacaria et al., 2013), a comprehensive analysis of the effects of light on sleep-wake behavior and locomotor activity is lacking. We therefore determined whether circadian rhythmicity, entrainment, or direct light effects contribute to the SMS phenotype, by recording locomotor and electro-encephalogram (EEG) activity to evaluate sleep and wakefulness under a number of lighting conditions. To gain insight into the pathways contributing to the extreme light-driven suppression of locomotor activity that we discovered, we evaluated the anatomical and functional integrity of the retina and the neuronal activation after a light pulse at the level of the SCN and the ventral subparaventricular zone (vSPVZ), which both play important roles in regulating active wake behaviors. Paradoxically, our study revealed that the acute and sustained hypersensitivity to light at the behavioral level was accompanied by a reduced response to light at the retinal and SCN levels. Only at the level of the vSPVZ was the behavioral hypersensitivity to light accompanied by an increased activating response to light.

Results

The expression and timing of sleep are regulated by three main processes: circadian time keeping, sleep homeostasis, and the response to environmental light (Cajochen et al., 1992; Dijk and Czeisler, 1995). Here, we addressed the proper functioning of all three processes in Rai1 haploinsufficient mice. While probing the circadian timing system, we discovered that the suppression of locomotor activity by light was importantly increased in Rai1+/- mice. Below we will present these findings first before presenting the circadian phenotypes we observed. Subsequently, by recording the electroencephalogram (EEG), we were able to extend the prominent ‘locomotor-activity-suppression-by-light’ phenotype to include EEG-defined active wake behavior and performed two experiments to discern whether these exacerbated direct effects of light concerned the acute or the sustained effects of light on behaviour and the EEG. EEG analyses was also used to verify whether altered sleep homeostasis; that is, differences in the compensatory response to sleep loss, contributed to the disease phenotype. We end by presenting anatomical data concerning retinal integrity and functional data on the acute, activating effects of light at the retinal, SCN, and vSPVZ levels.

Increased suppression of locomotor activity by light

We first asked whether Rai1 plays a role in circadian clock function and entrainment by assessing patterns of spontaneous locomotor activity both under standard light-dark conditions (LD12:12) and constant dark (DD) conditions. Under LD12:12 conditions, mice of both genotypes were more active during the dark compared to the light period, reaching highest activity levels in the first 6 hr after dark onset (ZT12-18; Figure 1A,B), consistent with the mouse being a nocturnal species. Despite this overall similarity of the distribution of locomotor activity over the 24 day, we observed a number of striking differences between the two genotypes. Whereas during the light period Rai1+/+ mice displayed occasional activity bouts, especially immediately preceding dark onset and following light onset, activity in Rai1+/- mice was restricted to the dark with an abrupt increase in activity immediately following dark onset and an equally abrupt suppression of activity after light onset, leaving the light period almost devoid of any activity (Figure 1A,C). The number of movements during the light phase was reduced by 67% in Rai1+/- mice, which is substantial considering that in the wild-type littermate controls locomotor activity reaches its lowest levels during this period (Figure 1B).

Figure 1 with 1 supplement see all
Marked suppression of locomotor activity by light in Rai1+/- mice.

(A) Representative double-plotted actograms of one wild-type Rai1+/+ (top) and one Rai1+/- mouse (bottom panel), under 14 days of LD12:12 and 20 days of constant darkness (DD). Grey areas mark darkness. Note that in Rai1+/- mice activity is restricted to the dark periods under LD12:12 and that after the transition into DD its active period (alpha) expands with an earlier onset and a delayed offset (red arrows) of activity. (B) Average profiles of hourly activity values (black area with SEM in grey) under LD12:12 (top) and DD (bottom panels) for Rai1+/+ (left; n = 11) and Rai1+/- (right panels; n = 12). Light-grey areas denote periods of darkness. Horizontal black bars indicate mean active periods (alpha or α; see also Panel E). Note the alpha expansion under DD and overall lower activity in Rai1+/- mice. Horizontal lines indicate average 24 hr activity levels for each genotype under each condition. The LD12:12 average activity levels were used in Panels C and D to correct for genotype differences in overall activity levels. (C) The suppression of activity by light in Rai1+/- mice under LD12:12 was abrupt and the relative increase in activity immediately following dark onset and immediately preceding light onset were ~2 fold larger than in wild-type mice. Values were expressed as % of each animal’s 24 hr average activity under LD12:12 conditions (=100% dashed horizontal line). (D) Even after correcting for individual differences in overall activity (set to 100% as in C), activity in the 12 hr light periods remains lower in Rai1+/- mice compared to wild-type littermates (light blue bars; p<0.05, t-test) and also compared to their own activity during the rest phase under DD (rho or ρ; dark blue bars; *p<0.01, paired t-test). (E) Comparison of alpha under LD12:12 and DD conditions. Alpha expansion was observed only in Rai1+/- mice (*p<0.001, paired t-test). (F) A light pulse at CT22 elicited a ~ 1 hr larger phase advance in Rai1+/- mice compared to wild-type littermates (*p<0.005, t-test), while a light pulse administered at CT16 resulted in the expected phase delay. Note that this experiment was performed in a separate cohort of mice (Rai1+/- n = 4; Rai1+/+ n = 5). Error bars represent SEMs.

https://doi.org/10.7554/eLife.23292.002

The overall 24 hr activity levels (both under LD and DD) were lower in Rai1+/- mice compared to wild-type (Rai1+/+ vs. Rai1+/-: LD12:12: 545 ± 79 vs. 317 ± 36; p=0.019; DD: 473 ± 77 vs. 268 ± 35 movements/24 hr; p=0.006, t-tests). These lower overall activity levels could not, however, explain the extremely low activity levels observed during the light period in Rai1+/- mice. Even after taking these overall genotype differences into account by expressing activity during the light as a percentage of each animal’s individual average 24 hr activity level, activity in Rai1+/- mice remained greatly reduced compared to wild-type littermates (p=0.022, t-test; Figure 1D, see also Figure 5—figure supplement 2). Activity during the light phase was also lower when compared to the average activity levels reached in the rest phase (rho) under DD conditions in Rai1+/- mice (p=0.007, paired t-test; Figure 1D) but not in Rai1+/+ mice. Moreover, relative activity levels (again expressed as % of each animal’s 24 hr activity under LD12:12) during rho under DD, did no longer differ between genotypes (Figure 1B,D; p=0.3, t-test), constituting further evidence that the loss of one Rai1 allele leads to a marked suppression of activity during light exposure.

The suppression of activity by light depends on its intensity (Aschoff, 1960) and the extreme suppression by light observed in Rai1+/- mice might occur at higher light intensities only. We therefore exposed a subset of mice to a low light intensity (i.e., 0.6 cds/m2) compared to our habitual 6.6 cds/m2. Although at these lower light levels Rai1+/- mice were more active compared to the higher light level condition, relative locomotor activity during the 12 hr light phase (as % of each animal’s 24 hr activity under LD12:12 at 6.6 cdm/m2) was still greatly suppressed in Rai1+/- mice compared to their wild-type littermates (p<0.05; t-test; Figure 1—figure supplement 1A). Interestingly, activity levels of wild-type mice during the 12 hr light period did not differ between the two light intensities.

Expansion of the active period and increased phase advance under DD

After release into DD conditions, Rai1+/- mice maintained a circadian organization of activity and rhythms free-ran with a period length slightly shorter than 24 hr as in wild-type mice (23.8 ± 0.03 hr for both genotypes; p=0.82; t-test). In addition, no significant difference in the robustness of the circadian distribution of locomotor activity was observed during free-run (maximum values of the X2-statistic; Rai1+/+ vs. Rai1+/-: 1458 ± 242 vs. 976 ± 84; p=0.086; t-test), while analyses of the day-to-day variability of activity onset under these conditions (i.e., individual r-values for the linear regression of activity onset under DD) suggest a more precise circadian timing of overt behaviors in Rai1+/- compared to wild-type littermates (r = 0.96 ± 0.01 and 0.88 ± 0.03, respectively; p<0.05; t-test; see Materials and methods for details). Also, the phase angle of entrainment, which quantifies the relationship between the endogenously generated circadian timing of activity and the timing of light exposure (see Materials and methods for details), differed between the two genotypes. While activity onset in wild-type mice under DD conditions occurred later than predicted by the mean activity onset under the preceding LD12:12 (−0.49 ± 0.17 hr; p<0.005; paired t-test), Rai1+/- mice exhibited a positive phase angle (+0.36 ± 0.14 hr; p<0.05; paired t-test), which significantly differed from wild-type (p<0.005; t-test). This relative advancement of activity onset in Rai1+/- mice was accompanied by an abrupt, 2.5 hr ‘expansion’ of the active phase (alpha), while in Rai1+/+ mice alpha did not significantly change from that observed under LD12:12 (+18 min; Figure 1A,E). The alpha expansion was already present on the first day under DD and was due to both an advance of activity onset (consistent with the positive phase angle of entrainment) and a delay of activity offset compared to the timing of these two events on the preceding day under LD12:12 (Figure 1A). These observations indicate that besides the altered light-suppression of activity (or ‘masking’ as it is referred to in the circadian literature), circadian entrainment by light is also affected in Rai1+/- mice. Even at low intensity (i.e., 0.6 cds/m2 vs. the habitual 6.6 cds/m2), light was still able to confine activity to the dark period of an LD12:12 light-dark cycle and alpha did not increase in Rai1+/- mice (Figure 1—figure supplement 1B).

To further investigate photic entrainment, we assessed the capacity of single, 1 hr light pulses in shifting the phase of activity onset under DD conditions. Light pulses were given at either CT16 or −22, when C57BL/6 mice show maximum phase delays and advances, respectively (Schwartz and Zimmerman, 1990; Daan and Pittendrigh, 1976). Although both light pulses resulted in the expected change in activity onset of the free-running activity rhythm, the magnitude of the phase advance after light pulses administrated at CT22, was more than two times larger in Rai1+/- mice than in wild-type (Figure 1F).

Increased suppression by light of theta-dominated wakefulness but not of total time-spent-awake

Because one of the hallmarks of SMS is disturbed sleep, we next investigated the role of Rai1 in sleep-wake regulation by recording EEG and EMG signals, concomitant with locomotor activity under various lighting conditions.

Time course analyses under LD12:12 revealed that Rai1+/- and Rai1+/+ mice showed very similar distributions of sleep and wakefulness over the 24 h day (Figure 2A; see also Figure 6A) and for none of the three sleep-wake states (i.e., waking, NREM sleep, and REM sleep) did the 24 hr values significantly differ (Figure 2—source data 1). Nonetheless, significant differences were observed between genotypes in the sleep-wake distribution. Rai1+/- mice displayed more wakefulness (and less NREM sleep) immediately after dark onset and before light onset. Moreover, during the light period, time-spent-awake was slightly but significantly reduced compared to wild-type littermates (Figure 2B). Even so, the lower overall activity levels as well as the near complete suppression of locomotor activity by light observed in Rai1+/- mice, were not accompanied by similar changes in time-spent-awake. This dissociation resulted in a striking 15-fold reduction in locomotor activity when expressed per unit of time-spent-awake during the light period (Figure 2C). Behavioral observation using video recordings confirmed that when Rai1+/- mice were behaviorally awake during the light period they did not leave the nest or only very briefly to drink. Because overall activity levels, but not waking (Figure 2B), were reduced also in the dark period, activity expressed relative to time-spent-awake was also reduced during this period albeit to a much smaller degree (twofold; Figure 2C). Thus, Rai1-haploinsufficiency, while suppressing gross body movements during light exposure, leaves general wakefulness largely unaffected.

Theta-dominated wakefulness (TDW), but not total time-spent-awake, is profoundly suppressed by light in Rai1+/- mice.

(A) Average profile of mean 1 hr values of wakefulness (total wakefulness including TDW), TDW (middle), and locomotor activity (bottom panels) under LD12:12 conditions (n = 4/genotype). Values of two 24 hr baseline days were averaged. Although Rai1+/- mice are awake longer than their littermates immediately after dark onset and before light onset, the two genotypes did not differ in time-spent-awake over 24 hr. TDW and activity levels were, however, generally below those observed in wild-type mice (red bars; p<0.05; t-tests). Note that while Rai1+/- mice did not show any evidence of dark anticipation in TDW and locomotor activity, we did observe this for wakefulness. In wild-type, levels of wakefulness, TDW, and activity all increase in the hour preceding dark onset. (B) Although 24 hr values of total time-spent-awake did not differ between genotypes, we did observe a slight, but significant reduction in Rai1+/- mice during the 12 hr light period (*p<0.05, t-test; left panel). Similarly, TDW levels in the light were reduced (*p<0.001; t-test, right panel) but unlike for wakefulness, we did observe an overall reduction in TDW (p<0.05; t-test), compared to wild type. (C) Number of movements expressed per hour of total wakefulness were profoundly reduced in Rai1+/- mice, especially during the light phase (*p<0.001; t-test) and (D) this result was paralleled by a reduction in TDW expressed as a percentage of total wakefulness during the light period, in Rai1+/- mice (*p<0.05; t-test). Error bars represent SEMs.

https://doi.org/10.7554/eLife.23292.005

We then verified whether the immobility in Rai1+/- mice was accompanied by altered brain activity during wakefulness. Quantitative analyses of the waking EEG revealed increased activity within the delta band (2–3 Hz) in Rai1+/- mice compared to Rai1+/+ mice during the light period but not during the dark period (Figure 3A). This contrast between light and dark could result from differences in the relative contribution of distinct waking behaviors to the overall waking spectra, specifically theta-dominated wakefulness (TDW; [Welsh et al., 1985; Vassalli and Franken, 2017]) which is considered an active state of wakefulness associated with exploratory behavior and locomotor activity (Buzsáki, 2002) (see Materials and methods for the quantification of TDW). Accordingly, time spent in TDW in Rai1+/- mice was reduced 2.3-fold in the light period compared to that in wild-type mice (Figure 2B), also relative to time-spent-awake (1.9-fold; Figure 2C). Thus, in the presence of light, the lack of one Rai1 allele specifically suppresses active wake behaviors, while leaving total time-spent-awake unaffected.

Spectral analysis of the waking EEG of Rai1+/- mice show an increased activity within the high delta band.

(A) Mean waking EEG spectra during total wakefulness (top), theta dominated wakefulness (TDW; middle), and the remaining wakefulness (non-TDW; lower panels) under the 12 hr light (left) and 12 hr dark (right panels) portion of two baseline days. Rai1+/-: black lines and symbols (n = 7); Rai1+/+: grey lines and symbols (n = 8). Red bars; p<0.05; t-tests. While the TDW EEG did not differ, in non-TDW (‘quiet’ waking) power density in the 2–3 Hz range was increased in Rai1+/- mice. (B) EEG spectral light/dark ratios for total wakefulness (top), TDW (middle), and non-TDW (lower panels). Zero levels in each panel represent the EEG activity during the 12 hr dark periods. Both genotypes show light-dark differences in EEG spectral profiles over a large frequency range (Rai1+/-: black bars; Rai1+/+: grey bars; p<0.05; t-tests). These light-dark differences were modulated by genotype only within the high-delta band and for frequencies between 25–40 Hz (red bars; p<0.05; t-tests). Note that both the prominent downward deflection, maximal close to 10 Hz, and the smaller upward deflection, peaking at around 7 Hz, observed in both genotypes are entirely due to a ~ 0.75 Hz faster TDW theta peak frequency in the dark compared to the light period. (C) The analysis under (A) was repeated for the 24 1h-light pulses under the 48 hr LD1:1 protocol. Again, non-TDW EEG activity in 2–3 Hz range increased when Rai1+/- mice were exposed to light arguing against circadian factors contributing to the results under (A).

https://doi.org/10.7554/eLife.23292.008

The EEG spectra during TDW showed the expected theta peak and no differences between genotypes, while for the EEG spectra in the remainder of wakefulness ('quiet' wakefulness or ‘non-TDW’), we again observed an increase in EEG power density in the 2–3 Hz range (Figure 3A). This indicates that the reduced contribution of TDW to total wakefulness in Rai1+/- mice did not underlie this EEG difference. Moreover, the observed increase in the 2–3 Hz range of the EEG power density appeared strictly light driven and not a consequence of for example circadian time, because it was equally observed under LD1:1 conditions when light is presented at all circadian phases (see below and Figure 3C). The increase in delta activity in the waking EEG might suggest that when in non-TDW and exposed to light, Rai1+/- mice are drowsier. Delta activity in the waking EEG did not only differ between genotypes but was generally higher in the 12 hr light period than in the dark period (2–5 Hz), irrespective of waking state (wakefulness, TDW, and non-TDW) and genotype (Figure 3B). However, only in non-TDW was this light-dark delta power difference larger in Rai1+/- mice than in Rai1+/+ mice (Figure 3B), suggesting that Rai1+/- mice are also more sensitive to light at the level of the EEG. This analysis also revealed that EEG activity in the high-beta / low-gamma activity range (25–40 Hz) was increased in the light versus the dark period and that this increase was again larger in Rai1+/- mice (Figure 3B).

Sustained and acute suppression of active wake behaviors in Rai1+/- mice

We next assessed whether the suppressing effect of light on locomotor activity and TDW could be sustained beyond 12 hr. When Rai1+/- mice were submitted to 60 hr of constant light (LL for 48 hr starting at the end of a ‘habitual’ 12 hr light period), mean activity levels remained continuously suppressed without marked circadian modulation (Figure 4A). Overall activity was reduced to one-fourth of the 24 hr levels under LD12:12 (Figure 4B). This is in stark contrast to wild-type mice in which the circadian modulation of locomotor activity was preserved under LL and overall levels did not significantly differ from LD12:12 (Figure 4A,B). Interestingly, in neither genotype was the overall time-spent-awake changed under LL (Figure 4B). The sustained and important reduction in locomotor activity while leaving wakefulness largely unaffected again attests to the clear dissociation between these behaviors when one Rai1 allele is missing. Although total wakefulness was not affected by LL, TDW was reduced by one third in Rai1 heterozygous mice compared to LD12:12, and unchanged in their wild-type littermates (Figure 4A,B). Although under LL a clear circadian modulation in wakefulness, TDW, and (in wild-type mice only) locomotor activity could still be discerned, the onset of the first wake/active phase was delayed more relative to that under LD12:12 in Rai1+/- mice compared to wild-type (6.9 ± 0.7 vs. 2.2 ± 0.5 hr, respectively; p<0.0001, t-test).

Sustained light suppression of locomotor activity and TDW, but not total time-spent-awake, in Rai1+/- mice under constant light (LL) conditions.

(A) Average profiles of mean hourly values of wakefulness (top), TDW (middle), and locomotor activity (bottom panels), under 48 hr LL in Rai1+/+ (grey lines and symbols) and Rai1+/- (black lines and symbols) mice (n = 4/genotype). In Rai1+/- mice LL resulted in a sustained and profound suppression of activity and TDW, leaving wakefulness largely unaffected (red bars; p<0.05; t-tests). Statistical analysis is shown only for the LL condition (for LD12:12 condition see Figure 2A) and not for baseline and recovery. (B) Wakefulness (left), TDW (middle), and locomotor activity (right panels) expressed as % difference from their 24 hr levels reached under the preceding LD12:12 (=0%). In wild-type mice no suppression of any of the three variables was observed while in Rai1+/- mice LL greatly reduced both time spent in TDW and locomotor activity but not total wakefulness (*p<0.005; t-test). Errors bars represent SEMs.

https://doi.org/10.7554/eLife.23292.009

After having established that light suppression of active wake behaviors can be sustained for at least 60 hr in Rai1+/- mice, we assessed the acute effects of light. To further investigate the acute effects of light identified under LD12:12 (Figure 1C), we implemented a 48 hr LD1:1 light-dark protocol which, in addition, allowed us to determine whether light suppression of activity was modulated by circadian time. In Rai1+/- mice, activity levels were rapidly suppressed and reached near zero levels during each of the repeated 1-hr-light pulses, irrespective of time-of-day (Figure 5A,B), giving the changes in activity a distinct ‘on-off’ or ‘switch-like’ character (Figure 5A, Figure 5—figure supplement 1). In contrast, while wild-type mice were also less active during the light pulses, their activity levels remained well above zero and still varied according to circadian time with highest values reached in the subjective dark phase (Figure 5A,B). Indeed, in contrast to wild-type mice, activity levels reached during the light pulses in Rai1+/- mice were, on average, similar to the activity (or lack thereof) they exhibited during the light phase under LD12:12 (Figure 5—figure supplement 2).

Figure 5 with 2 supplements see all
Light pulses acutely suppressed locomotor activity and TDW in Rai1+/- mice independent of circadian phase.

(A) Average profile of mean hourly values of total wakefulness (top), TDW (middle), and locomotor activity (bottom panels) under 48 hr LD1:1 in Rai1+/+ (grey lines and symbols) and Rai1+/- (black lines and symbols) mice (red bars; p<0.05; t-tests; n = 4/genotype). Note the ‘saw-tooth’ pattern for all three variables in Rai1+/- mice, with TDW and activity reaching near 0 levels during the 1-hr-light pulses. (B) Wakefulness (top), TDW (middle), and locomotor activity (bottom panels) during the 1-hr-light (left) and 1-hr-dark pulses (right panels) averaged for the 2 days under LD1:1. Relative activity is calculated as % of the individual’s total activity under the preceding day under LD12:12. Levels of activity and TDW during the 1-hr-light pulses follow a circadian pattern in Rai1+/+ (grey lines and symbols), but not in Rai1+/- (black lines and symbols) mice. Under LD1:1 also wakefulness is suppressed to a higher degree in Rai1+/- mice compared to wild-type (red bars; p<0.05; t-tests). Wakefulness, TDW, and activity levels during the 1h-dark pulses were less affected by genotype, although wakefulness and relative activity levels were generally higher in Rai1+/- mice than wild-type mice, indicating increased acute activation by darkness.

https://doi.org/10.7554/eLife.23292.011

During 1-hr-dark pulses, activity levels varied according to circadian time in both genotypes, but were generally lower in Rai1+/- mice than in Rai1+/+ mice (Figure 5A), consistent with the overall lower activity levels observed during LD12:12. When expressed relative to each animal’s mean activity level observed under LD12:12 conditions, Rai1+/- mice reached higher values during the 1-hr-dark pulses compared to wild-type (Figure 5B), suggesting that the acute activating effect of a dark pulse was also amplified in Rai1+/- mice, which is consistent with the pronounced increase in activity at the light-to-dark transitions under LD12:12 (Figure 1C).

Effects of light, time-of-day, and genotype on TDW largely paralleled the effects on activity, although values did not differ between genotypes during the dark pulses (Figure 5A,B). Also, wakefulness was suppressed by the light pulses and this suppression was stronger in Rai1+/- mice compared to wild-type (Figure 5B). This markedly differs from the lack of suppression of wakefulness by light under LD12:12 and LL, demonstrating that the direct effects of light differ between acute and sustained light administration. Evidence of a stronger, acute activation by the dark pulses was also observed for wakefulness (Figure 5B), which in combination with the stronger acute suppression by light resulted in a larger amplitude of change in Rai+/- mice between light and dark pulses, resulting in a distinct saw-tooth pattern (Figure 5A).

Rai1 haplo-insufficiency does not affect the sleep homeostat

Next, we verified whether genotype-driven differences in the homeostatic aspect of sleep regulation could have contributed to the differences in wake behavior. We therefore challenged mice of both genotypes with a 6-hr sleep deprivation during the first half of the light period (ZT0-6) and compared their compensatory sleep responses. Compared to baseline levels, mice of both genotypes spent more time asleep during the 18 hr for which recovery sleep was monitored and this extra time asleep did not differ between genotypes (Figure 6A,B). Similarly, the dynamics of EEG delta power over the 72 hr recording period, including its levels immediately after the sleep deprivation, did not differ between genotypes (Figure 6A). EEG delta power during NREM sleep quantifies the amplitude and prevalence of delta oscillations (1–4 Hz) and is thought to reflect a sleep homeostatic process in both humans and mice (Daan et al., 1984; Franken et al., 2001). In sum, at least in the mouse, altered sleep homeostasis does not seem to contribute to the sleep-wake phenotypes associated with Rai1 haplo-insufficiency.

Sleep homeostasis is not altered in Rai1+/- mice.

(A) Average time course of EEG delta power (1–4 Hz) in NREM sleep (top), time spent in NREM sleep (middle) and in REM sleep (bottom panel) under LD12:12. After 2 baseline days (0–48 hr), animals were sleep deprived for 6 hr (48–54 hr) by gentle handling starting at light onset. Recovery was monitored over the remaining 18 hr of the 3-day recording (54–72 hr). Rai1+/+: grey lines and symbols; Rai1+/-: black lines and symbols. Red squares above data mark significant genotype differences (p<0.05; t-tests). (B) Mean hourly accumulation of differences from baseline in time spent in NREM (top) and REM (bottom panel) sleep during the 18 hr of recovery sleep after the SD (54–72 hr) did not differ between genotypes. Rai1+/- n = 7; Rai1+/+ n = 8.

https://doi.org/10.7554/eLife.23292.015

Rai1 expression in the forebrain does not vary with time-of-day

Rai1 is widely expressed throughout the brain with high levels of expression observed in the olfactory bulb, cerebral cortex, hippocampus, striatum, thalamus, hypothalamus, cerebellum, and brainstem (Toulouse et al., 2003; Bi et al., 2007; Fragoso et al., 2015; Huang et al., 2016). Because circadian and/or light-dependent changes in Rai1 expression in the brain may contribute to the phenotypes we observed in Rai1-haploinsufficient mice, we sampled brain tissue under LD12:12 conditions at 3-hr intervals in wild-type mice. Rai1 expression levels in the forebrain were remarkably stable over the day, in contrast to the well-known nychthemeral changes in steady state mRNA levels of the established core circadian clock genes Bmal1 and Per2, which were quantified in the same samples (Figure 7). A database search confirmed that Rai1 is present also in the SCN and that its expression does not change with time-of-day (CircaDB; http://circadb.hogeneschlab.org/).

Twenty-four hour brain expression profiles for Rai1, Arntl, (Bmal1), and Per2 in wild-type mice.

While Bmal1 and Per2 expression showed their well-known anti-phasic circadian expression profiles, Rai1 expression was remarkable indifferent to time-of-day and lighting condition. Samples were taken at 3 hr intervals (total n = 23; that is, n = 3/interval, except for ZT18: n = 2).

https://doi.org/10.7554/eLife.23292.016

Decreased retinal and SCN response and increased vSPVZ response to light in Rai1+/- mice

In a further step to dissect the pathways by which locomotor activity was so strongly suppressed in Rai1+/- mice, we quantified the retinal response to light pulses in dark-adapted mice. Scotopic ERG recordings revealed that retinal activation was importantly reduced, as evidenced by a decreased amplitude of the a-wave, reflecting the membrane hyperpolarization of the photoreceptors (Penn and Hagins, 1969), and the b-wave , reflecting the light response of retinal cells post-synaptic to photoreceptors (Stockton and Slaughter, 1989; Miller and Dowling, 1970) (Figure 8A,B). Together, these two effects led to a marked flattening of the ERG response in Rai1+/- mice. Since the b-wave is a consequence of the activity of the components measured by the a-wave (photoreceptors), we cannot conclude whether the decreased b-wave is exclusively due to altered photoreceptor function or also to intrinsic interneuron defects.

Decreased light-induced retinal activity in Rai1 haplo-insufficient mice.

(A) Representative example of ERG responses of a Rai1+/+ mice (upper panel; black line) and a Rai1+/- mice (lower panel; red line) to single flashes of 30 cds/m2 recorded under scotopic conditions. The letters ‘a’ and ‘b’ represent a- and b-wave amplitudes, respectively. Vertical black tick marks just prior the a-wave indicate timing of the light stimuli. Scale bars, horizontal: 50 ms, vertical: 0.2 mV. (B) Rai1+/- mice (black symbols and lines) displayed a significantly smaller ERG response compared to Rai1+/+ mice (grey symbols and lines), due to both a smaller (less negative) a-wave (left) and b-wave (right panels) amplitude over a broad range of stimulus intensities (red bars; p<0.05; t-test).

https://doi.org/10.7554/eLife.23292.017

The general retinal morphology and histology analysis did not show any salient differences between Rai1+/+ and Rai1+/- mice (Figure 9). No decrease in layer thickness of photoreceptors or interneurons was noticed that might have been indicative of retinal degeneration explaining the reduced ERG response to light. The lack of a difference in the rod marker rhodopsin, the cone marker GNAT2, the bipolar ON marker PKCalpha, and the active Müller glial marker GFAP, further supported that retinal composition was not noticeably impacted (Figure 9A–H). Moreover, the normal dendritic ends of Rai1+/- bipolar cells, labeled by PKCalpha, suggest that the connections between photoreceptors and bipolar cells were not affected, as well as the general circuitry as shown by the calbindin, ChAT, and GABA labeling of the horizontal and/or amacrine cells and the different strata of connections in the inner plexiform layer (Figure 9I–N). Consistent with the histological results, qPCR analyses of retinal extracts did not reveal any difference in rhodopsin, melanopsin, and cone opsin mRNA levels between Rai+/- and Rai+/+ mice (Figure 9O). We did, however, observe a twofold decrease in Rai1 expression in Rai1+/- mice, as could be expected from the haplo-insufficiency (Figure 9O). Taken together, these experiments did not reveal any anatomical or molecular factors contributing to the reduced ERG response.

Retinal protein and gene expression levels were normal in Rai1+/- mice.

Immunostaining for Rhodopsin protein (A, B), the cone protein GNAT2 (C, D), the bipolar protein PKCa (E, F), the Müller cell protein GFAP (G, H), and Calbindin (I, J), ChAT (K, L), and GABA (M, N) markers did not differ between Rai1+/- (B, D, F, H, J, L, N) and Rai1+/+ mice (A, C, E, G, I, K, M). As expected, rhodopsin was mainly localized in outer-segments of rods (A, B) and GNAT2 in cone cells (C, D). PKCa labeled whole ON bipolar cells with both dendrite and synapse structure (E, F). GFAP expression was restricted to the foot of Müller cells not extending to their cell bodies that show no activation in these retinal cells (G, H). Calbindin was expressed in horizontal cells (arrows) and some amacrine cells (arrowhead) as well as in ganglion cells located in the GCL (I, J). Three strata of connections (star) were well labeled by calbindin in both genotypes in the layer connecting the INL and GCL layers. Both ChAT (K, L) and GABA (M, N) labeled subpopulations of amacrine cells (arrowheads) and different strata of connections (star) in a pattern similar for Rai1+/- (L, N) and Rai1+/+ (K, M) mice. White horizontal bars represents 50 µm in A, B, E, F, G, and H and 100 µm in C, D, and I through M. OS: outer-segments; ONL: outer-nuclear layer; INL: inner-nuclear layer; GCL: ganglion cell layer; RHO: rhodopsin in green; GNAT2: G-protein subunit alpha transducin two in green; PKCa: Protein kinase C alpha in green; GFAP: gGlial fibrillary acidic protein in red; DAPI: 4',6-diamidino-2-phenylindole in blue; ChAT: choline acetyltransferase ChAT in green; GABA: γ-aminobutyric acid in green. (O) Quantitative RT-PCR showed that expression of M-opsin (Opn1mw; cones), melanopsin (Opn4, ipRGCs), rhodopsin (Rho; rods), and the retinal ganglion cell marker Thy1 was normal in Rai1+/- mice. Rai1 expression was decreased by 50% in Rai1+/- mice, as could have been expected.

https://doi.org/10.7554/eLife.23292.019

Next, we verified whether a light pulse in Rai1+/- mice is also less efficient in activating the SCN by quantifying c-FOS immunoreactivity. In line with previous work (e.g. [Ruby et al., 2002]), a 1-hr-light pulse administered at ZT15-induced c-FOS immunoreactivity in the SCN of both genotypes (Figure 10B,C; p<0.0001, t-tests). The induction was, however, significantly reduced by ~40% in Rai1+/- mice (Figure 10B,C; p<0.005, t-test). Although the decreased retinal activation upon a light pulse is consistent with the reduced downstream response in the SCN, both observations seem to contradict the acute and sustained behavioral hypersensitivity to light we observed in Rai1+/- mice. This profound reduction in the activation of the SCN seems also at odds with the lack of a difference between the two genotypes in the ensuing phase delay of overt behavior after a light pulse (Figure 1F). However, at the level of the ventral subparaventricular zone (vSPVZ), a region immediately dorsal to the SCN, the opposite result was observed. The SPVZ extends dorsally of the SCN, from bregma −0.71 mm to bregma −0.83 mm (Paxinos and Franklin, 2013) and we focused on its ventral part (Figure 10A) because neuronal activity in this area was found to be in phase with locomotor activity rhythm (Todd et al., 2012) and because stimulation of this area inhibits locomotor activity specifically (Kramer et al., 2001). We found that compared to mice that did not receive a light pulse, light induced a significant increase in c-FOS immunoreactivity only in Rai1+/- mice (p<0.05; t-test) and that the number of c-FOS-positive cells after the light pulse was higher in Rai1+/- mice compared to their wild-type littermates (p<0.05, t-test; Figure 10C). The differential activation by light of the frontal vSPVZ in Rai1+/- mice could thus represent the neuronal substrate underlying light’s marked suppression of active waking behaviors (Figure 11).

Decreased SCN activation and increased vSPVZ activation by light in Rai1 haplo-insufficient mice.

(A) Illustration of anatomical delimitation (white dashed lines) of SCN and vSPVZ regions at bregma ~ −0.71 mm and ~ −0.83 mm used to count c-FOS-positive (c-FOS+) cells in B and C. SCN contour is readably visible by the marked density of cells within the SCN. DAPI staining in black labels cell nuclei. The vSPVZ contour was defined following published coordinates (Paxinos and Franklin, 2013). Note that top photo in A is identical to top-left photo in B with DAPI in blue on black background allowing visualization of c-FOS immunofluorescence in red in the ventral retinorecipient SCN core (B) Example of representative immunofluorescence staining of four sections (upper two panels at −0.71 mm, lower 2–0.83 mm) of two wild-type (left) and two Rai1+/- heterozygous (right panels) mice. White horizontal bars in each photo of Panels A and B mark 100 μm. (C) A 1-hr-light pulse (LP) produced a smaller c-FOS immunoreactivity response in the SCN of Rai1+/- mice compared to wild-type littermates. This is reflected by a reduced number of c-FOS-positive cells (left panel; **p<0.005; t-tests). In the vSPVZ, a 1-hr-light pulse produced a larger response in c-FOS immunoreactivity in Rai1+/- mice (right panel; *p<0.05; t-test; n = 6 and 7 in Rai1+/- and Rai1+/+ mice). Two control groups did not receive a light pulse (CTRL: n = 3/genotype). Note the different scaling for the SCN and vSPVZ panels. c-FOS immunoreactivity was averaged for the −0.71 and −0.83 mm sections within animals.

https://doi.org/10.7554/eLife.23292.020
Diagram illustrating a hypothesis explaining the differential response to light, from retina to behavior, in SMS mice and patients.

(A) In the intact, nocturnal mouse light stimulates the retina and, through the PACAP and GLU excitatory projections (green) of the retinohypothalamic tract (RHT), activates both the SCN and the vSPVZ. Upon activation, the SCN, in turn, inhibits the vSPVZ through GABA/VIP inhibitory projections (red). RHT activation outweighs SCN inhibition resulting in a net activation of the vSPVZ causing suppression of active wake behaviors and locomotor activity during a light pulse. The four upper panels illustrate the net excitatory-inhibitory balance in the vSPVZ as number of green (+, excitatory) or red (-, inhibitory) circles and the effect on active/alert wake behaviors. (B) In Rai1+/- mice, despite a reduced retinal response to light, excitatory inputs received from the RHT are somehow (‘?’) sufficient to correctly activate the vSPVZ (see Figure 10C). However, SCN activation by the RHT is impaired resulting in a weaker inhibition of the vSPVZ (bottom panel). The net effect of normal excitation and impaired inhibition of the vSPVZ is an over-activation explaining the exacerbated suppression of locomotor activity (upper panel). (C) In humans, light information encoded in the retina and transmitted by the RHT, activates only the SCN as the retinal-vSPVZ projections are thought not to be functionally important in diurnal species (Todd et al., 2012). In turn, the SCN will inhibit the vSPVZ (bottom) thus promoting active wake behaviors (upper panel). (D) In SMS patients, as in the mouse model, a reduced retinal response to light might lead to a reduced SCN stimulation and a reduced suppression of the vSPVZ (bottom) and reduced promotion of active/alert wake behaviours during the day (upper panel). PACAP: Pituitary adenylate cyclase-activating polypeptide; GLU: Glutamate; GABA: γ-aminobutyric acid; VIP: vasoactive intestinal peptide; dotted green/red lines: weaker stimulation/inhibition. Inspired by Todd et al., 2012).

https://doi.org/10.7554/eLife.23292.022

Discussion

Rai1 haplo-insufficiency exacerbates the direct effects of light on behavior

Our data revealed that Rai1 haplo-insufficiency in the mouse resulted in both circadian and light-induced phenotypes while leaving the homeostatic regulation of sleep unaffected. The most striking effect of the lack of one Rai1 allele was the all but complete abolishment of locomotor activity by light. The overall time-spent-awake and its diurnal distribution under standard LD12:12 conditions did not greatly differ between the two genotypes, underscoring that locomotor activity in the mouse can be a poor indicator of sleep-wake state.

Although overall wakefulness was little affected, the profound suppression by light of locomotor activity was accompanied by a number of changes in wake-related phenotypes indicating reduced alertness and attention while awake during the light in Rai1+/- mice compared to their wild-type littermates. These include a reduction in time spent in TDW, a sub-state of wakefulness rich in EEG theta activity and associated with active, exploratory, and goal-oriented behavioral repertoires (Buzsáki, 2002), and an increase in delta activity in the waking EEG during the light. The latter observation suggests that Rai1+/- mice are less alert and more drowsy when awake in the light, and is consistent with reports of delta activity increasing progressively during prolonged waking periods in human and rat, which in human is paralleled by decrements in cognitive performance (Cajochen et al., 2002; Franken et al., 1991; Dijk et al., 1992). Also, the high beta/low gamma frequency band was more strongly activated by light in Rai1+/- mice than in wild-type. This frequency range also increases progressively during prolonged waking in both human and mouse (Cajochen et al., 2002; Grønli et al., 2016) and has been associated with behavioral arrest and slower movements (Zheng et al., 2015), as well as with the motor deficits accompanying Parkinson disease (Weinberger et al., 2009; Mallet et al., 2008), suggesting that processes related to motor control are reflected in the waking EEG and might be relevant also for the light-induced suppression of locomotor activity in the SMS model.

Results from the LD12:12, LD1:1, and LL experiments also allowed us to differentiate between sustained and acute direct effects of light on sleep-wake state. In the context of the current set of experiments, we refer to acute effects as those light effects that can be observed immediately after light onset; that is, within the first hour, while sustained refers to effects of longer light exposures; that is, 12 hr and longer. Results from the LD12:12 and LL experiments revealed that genotype did not alter the effects of sustained light exposure on total time-spent-awake (and -asleep), whereas the LD1:1 experiment provided evidence that the acute suppressing effects of light on time-spent-wake time were stronger in Rai1+/- mice, as was the case for locomotor activity and TDW. In contrast to the almost complete suppression of locomotor activity and TDW during LD1:1, the effect on total time-spent-awake was weaker and depended on circadian time, with highest levels of wakefulness attained (or lowest suppression by light) when light pulses were given during the subjective dark phase. This suggests that the sleep-wake switching by light competes with the alerting signal provided by the circadian system, as it is more difficult for light to acutely switch sleep-wake state than to rapidly alter the quality of one state (e.g. active vs. quiet wakefulness).

In addition, the LD1:1 protocol revealed a stronger induction of wakefulness during the 1-hr-dark pulses in Rai1+/- mice compared to wild-type. Also this acute, wake-promoting effect of the absence of light varied with circadian time and was largest at the start of the subjective dark phase. In comparison with the temporary overshoot in wakefulness and activity at the same time under LD12:12, which could be interpreted as ‘rebound’ from the suppression in the preceding 12 hr of light, the LD1:1 results instead suggests a circadian mechanism that could relate to the longer circadian active period observed in Rai1+/- mice under DD conditions.

Rai1 haplo-insufficiency and circadian rhythm entrainment

In the present study, circadian organization of locomotor activity under DD was not largely impacted by Rai1 haplo-insufficiency, and no differences in period length were observed. Our results contrast with those from one earlier study in which a 13 min shortening of the free-running period was reported (Lacaria et al., 2013). Despite this difference, both studies clearly demonstrate that circadian rhythm generation under DD is not compromised in Rai1+/- mice. This is surprising given that Rai1 haplo-insufficiency results in the transcriptional dysregulation of core clock genes such as Clock, Per2, Per3, Cry1, and Bmal1 in SMS fibroblasts and in mouse hypothalamic tissue (Williams et al., 2012). Such extensive disruption of the core clock machinery could have been expected to impact the circadian organization of overt behaviors in vivo. If anything, our results show that circadian timing under constant dark conditions was more accurate in Rai1+/- mice than in wild-type mice.

We did, however, identify two circadian phenotypes related to entrainment. Rai1+/- mice showed a pronounced lengthening of the active phase (alpha) when released into DD. This expansion of alpha was due to both an earlier onset and a later cessation of activity compared to the timing of these two events under the preceding LD12:12 conditions. Given their hypersensitivity to light, the preferred (i.e. endogenously determined by the circadian system) earlier activity onset in Rai1+/- mice seems thus ‘masked’ by light even of low intensity. Evidence of masking of activity onset in Rai1+/- mice can also be deduced from the lack of transients during re-entrainment to LD12:12 after a period of DD (Figure 1A). The second and related circadian phenotype observed in Rai1+/- mice is the twofold larger phase advance. We did not construct a full ‘phase response curve’ (PRC) but assuming a still larger phase advance 2 hr later (i.e. at light onset under entrained conditions) might have contributed to the earlier preferred activity onset in Rai1+/- mice and also to the compression of alpha under entrained, LD12:12 conditions (compared to DD). Alpha compression during re-entrainment is accompanied by memory impairments (Ruby et al., 2015) and, assuming that in Rai1+/- mice alpha is being compressed by 2.5 hr on a daily basis under LD12:12 conditions, might also have contributed to cognitive deficits reported for Rai1-compromised mice kept under these same lighting conditions (Bi et al., 2007; Huang et al., 2016). It is therefore of interest to verify whether memory deficits persist under LD regimens with shorter than 12 hr photoperiods better matching the longer endogenous active period observed in Rai1+/- mice.

Reconciling species differences and ‘input-output’ differences

The sleep-wake disturbances, including excessive daytime sleepiness and attention deficits (Smith et al., 1986), together with the inverted melatonin rhythm observed in SMS patients (De Leersnyder, 2006; Potocki et al., 2000), strongly suggest impaired non-visual light perception. The reduced response to light at the level of the retina and the SCN we report here for Rai1+/- mice, supports this idea and indicates that already at the input level, processing of light information is altered by the loss of one Rai1 allele. However, at the behavioral output level, the murine SMS model clearly differs from SMS patients because mice display a striking hypersensitivity to light with respect to active waking behaviors. These findings seem contradictory not only with regard to the human-mouse species difference, but also concerning the differences in the effects of light at the input level and its downstream behavioral consequences in our SMS mouse model. This contradiction might relate to the mechanisms that determine nocturnality versus diurnality which are thought to act downstream from the SCN.

Based on the neuroanatomical differences in the innervation of the vSPVZ by the SCN and the retina between nocturnal and diurnal rodents, Todd and colleagues Todd et al., 2012 proposed that in diurnal mammals light information reaches the vSPVZ predominantly through the SCN relay, which inhibits the vSPVZ and is thus alerting. If also true in humans, a weaker inhibition of the vSPVZ by the SCN might contribute to the lower levels of alertness and attention, as well as increased day-time sleepiness observed in SMS during the day (Figure 11C,D) (Elsea and Girirajan, 2008). In nocturnal species, light information encoded in the retina directly stimulates the vSPVZ via the retinohypothalamic tract (RHT) and, overcoming the simultaneous inhibition provided by the SCN, causes inactivity and sleep (Todd et al., 2012; Schwartz et al., 2004; Watts et al., 1987; Colwell, 2011; Hermes et al., 2009) (summarized in the Figure 11 schematic). According to this scenario, the reduced activation of the SCN observed in our SMS mouse model might have led to a reduced inhibition of vSPVZ neurons, which, in turn, explains both the stronger induction of vSPVZ c-FOS immunoreactivity we observed, as well as the exacerbated suppression of locomotor activity by light (Figure 11A,B). In the intact mouse, RAI1-dependend signaling thus seems to limit the light-induced activation of the vSPVZ thereby allowing animals to display activity during the light phase.

Much in the above scenario remains, however, to be demonstrated and species differences rather than the nocturnal versus diurnal niche differentiation might underlie the discrepancy in light-sensitivity between humans and mice lacking one Rai1 allele. Moreover, a number of other signaling pathways are likely to be involved. Specifically, pathways regulating active waking behaviors might be good alternate candidates. TGFα (transforming growth factor α) activates vSPVZ neurons thereby suppressing locomotor activity without affecting overall time-spent-awake (Kramer et al., 2001; Tournier et al., 2007), reminiscent of the profound and sustained effects of light in Rai1+/- mice. Likewise, CLC (cardiotrophin-like cytokine) suppresses locomotor activity via CLC receptors on neurons localized in the periventricular region of the hypothalamus (Kraves and Weitz, 2006). Both TGF-α and CLC are produced in the SCN in antiphase with the daily (circadian) changes in locomotor activity. Moreover, CLC production is stimulated by light. As was the case for Rai1+/- mice, suppression of locomotor activity by CLC is associated with normal waking behaviors although time-spent-awake and -asleep were not quantified (Kraves and Weitz, 2006). Finally, other structures than the vSPVZ have been shown to relay the direct effects of light on behavior such as the intergeniculate leaflet and olivary pretectal nuclei (Gall et al., 2016).

Conclusions

RAI1 is thought to be key to normal brain development and function due to its association with a number of neurobehavioral disorders which, besides SMS, include Potocki–Lupski syndrome (Potocki et al., 2007), schizophrenia (Joober et al., 1999), autism (van der Zwaag et al., 2009), Parkinson disease (Do et al., 2011), and cerebellar ataxia (Hayes et al., 2000). RAI1 is a highly conserved transcriptional regulator (Carmona-Mora et al., 2010) with high neuronal expression (Toulouse et al., 2003; Fragoso et al., 2015), and recent evidence shows that it acts as a positive transcriptional regulator by binding to active promotor and enhancer regions (Huang et al., 2016). Among RAI1 target genes are Bdnf (brain-derived neurotrophic factor) and Htr2c (serotonin receptor 2c) (Huang et al., 2016; Burns et al., 2010), both of which are implicated in hyperphagia leading to obesity, a phenotype accompanying SMS, concomitant with altered locomotor activity (Huang et al., 2016; Burns et al., 2010; Kernie et al., 2000; Nonogaki et al., 2003). Moreover, as its name indicates, Rai1 expression is induced by retinoic acid (Imai et al., 1995). Because retinoic acid signaling is a major pathway involved in eye formation (Cvekl and Wang, 2009) and other developmental processes, and because RAI1 appears to help assemble and maintain neuronal circuitry (Huang et al., 2016), the lack of one Rai1 allele is likely to impact eye development and light signaling pathways, maybe through its target gene Bdnf, which is known to be important for retinal development and synaptic connectivity (Grishanin et al., 2008). While we found no apparent structural differences in the retina, the ERG results did reveal a profound attenuation of the response to light pointing to altered retinal function. A more detailed examination of, for example, the morphology of synaptic terminals and expression levels of other photo-transduction proteins could therefore still yield new insights.

The SMS mouse model revealed that both circadian and direct light reception are affected. Our study thus brought new insights into the light-signaling pathways regulating behavior and suggests that Rai1 is a key regulator in non-visual light perception. Whether these effects are developmental, acute or both, remains to be determined. Given our results, investigating the functional integrity of cells and pathways related to photoreception and light signaling in SMS patients is an obvious next step.

Materials and methods

Animals and housing conditions

C57BL/6Tyrc−Brd mice heterozygous for the Rai1 null mutation (Rai1+/-) were generously provided by James R. Lupski (Baylor College of Medicine, Houston TX, USA). The mutation concerns a 3910 bp deletion due to the insertion of a neoR-expression cassette and an Escherichia coli lacZ coding sequence into Rai1 exon 2 (Bi et al., 2005). This mutation prevents the encoded protein from entering the nucleus thus resulting in a functionally inactive allele (Bi et al., 2005). In the vast majority of cases, homozygosity for this mutation results in embryonic lethality. In all experiments, 10- to 12-week-old male Rai1+/- mice along with their male wild-type littermate controls (Rai1+/+) were used. Rai1+/- mice develop obesity by week 20 (Burns et al., 2010), but in the current experiments, they were not heavier than their wild-type littermates (Rai1+/-: 29 ± 0.7; Rai1+/+: 31 ± 0.3 g). All animals were kept under a 12 hr light/12 hr dark cycle (LD12:12, fluorescent lights, intensity 6.6 cds/m2 or 0.97 µW/cm2) and were singly housed for EEG/EMG and locomotor activity recordings with food and water available ad libitum. Under LD12:12 we use Zeitgeber time (ZT) with ZT0 and ZT12 marking light and dark onset, respectively, while under constant dark (DD) conditions circadian time 12 (CT12) was defined as activity onset. Room temperature was kept at 25°C and humidity between 50% and 60%. All experiments were approved by the Ethical Committee of the State of Vaud Veterinary Office, Switzerland.

Assessment of circadian activity patterns

Animals were housed individually and placed in recording cabinets equipped with passive infra-red (PIR) sensors (Visonic Ltd, Tel Aviv, Israel). ClockLab (ActiMetrics, IL, USA) was used to record and analyze locomotor activity patterns and to schedule the light-dark regimens. Data were sampled at 5-min resolution, and period length (X2-periodogram) and onset of the main daily activity phase were extracted to calculate the duration of the active (alpha or α) and rest (rho or ρ) phase under DD conditions. Rai1+/+ (n = 11) and Rai1+/- mice (n = 12; recorded in five separate experimental cohorts from a total of eight different litters) were studied for >10 days under entrained conditions (LD12:12), followed by >20 days of DD ‘free-running’ conditions, followed again by LD12:12 (>10 days). The expected activity onset of the last day under LD was extrapolated back by linear regression of the DD activity onset times. The difference between the average activity onset under the preceding LD12:12 and this expected activity onset determined the phase angle of entrainment. As a measure of precision of activity onset under DD conditions, we compared the individual correlation coefficients (r) of the linear regression of activity onsets explained above to estimate the phase angle of entrainment between genotypes. The same number of observations contributed to each r-value, that is 16 circadian days. Correlation coefficients were Fisher's Z-transformed prior to statistical analysis. To estimate robustness of the circadian rhythm under DD, the individually obtained maximal amplitude of the X2-statistic was compared between genotypes as this statistic indexes how much of the total variance in the locomotor activity signal can be attributed to the circadian rhythm. For this analysis, the number of cycles contributing to the analysis was identical for each individual (n = 10/genotype), that is 18.

Evaluation of the phase-shifting capacity of light was performed in a separate group of mice (Rai1+/+: n = 5; Rai1+/-: n = 4; one experimental cohort from a total of two litters). For this experiment, mice were exposed to a 1-hr-light pulse (6.6 cds/m2) at circadian times (CT)16 and −22 (with CT12 designating activity onset). Both light pulses occurred 4 days after the mice were released in DD. The phase shifts were calculated as the difference, in circadian hours, between the average activity onset over the 3 days prior to the light pulse and the average activity onset over the 10 days following the light pulse. Activity onset on the first day after the light pulse was not taken into account.

In a third group of mice (Rai1+/+: n = 5; Rai1+/-: n = 3; two experimental cohorts from a total of 3 litters), we tested whether mice are equally sensitive to light of low illumination, that is, 0.6 cds/mversus the habitual 6.6 cds/m2, both under a LD12:12 protocol. Mice were exposed to at least 5 days under 6.6 cds/m2 followed by at least 6 days under 0.6 cds/m2. The first day under the new light environment was discarded from the analysis.

Electroencephalogram (EEG) and electromyogram (EMG) recordings and analysis

EEG/EMG surgeries were performed under deep anesthesia as previously described (Mang and Franken, 2012). Rai1+/+ (n = 8) and Rai1+/- mice (n = 7; six experimental cohorts from a total of eight litters) were allowed to recover for >10 days before experiments started. EEG and EMG signals were amplified, filtered, analog-to-digital converted, and stored using EMBLA (A10 recorder) and Somnologica software (Medcare Flaga, Thornton, CO). The sleep-wake states wakefulness (W), rapid-eye-movement (REM) sleep, and non-REM (NREM) sleep were visually assigned to consecutive 4 s epochs as previously described (Mang and Franken, 2012). Four-second epochs scored as wakefulness in which the EEG was dominated by theta activity (EEG power in the 6.5–9.5 Hz range) were labeled as theta dominated wakefulness (TDW) using an algorithm with the following criteria: if the frequency bin showing highest power density (theta peak frequency or TPF) across the 3.5–15.0 Hz range was within the 6.5–12.0 Hz range, and the ratio of theta power in the ±1 Hz range surrounding the TPF over the total power across 3.5–45.0 Hz was above 0.228, then that epoch would score as TDW, if an additional set of three contextual criteria for that epoch were met: (1) the epoch immediately preceding a TDW epoch was scored as 'W' or 'TDW'; (2) the epoch immediately following a TDW epoch was not scored as NREM sleep; (3) isolated TDW epochs preceded and followed by 3 'W' epochs were excluded. Recordings of three C57BL/6J male mice were assessed visually for TDW state scoring and the 0.228 theta/total power ratio threshold was chosen because it yielded the best match with visually identified TDW. Please see (Vassalli and Franken, 2017) for details and validation. The term TDW was previously coined to describe a theta-rich waking sub-state associated with locomotor activity in the mouse (Welsh et al., 1985).

EEG/EMG signals were recorded continuously for a 3-day period, the first two of which served as baseline (48 hr) under LD12:12. During the first 6 hr of day 3 (ZT0-6), animals were sleep deprived by ‘gentle handling’ (Mang and Franken, 2012). Locomotor activity was recorded in parallel using the same PIR sensors. In a separate cohort (n = 4/genotype from a total of 2 litters), activity and sleep-wake patterns were investigated under short light-dark cycles (LD1:1; 1 day under LD12:12 followed by 2 days of LD1:1) and constant light (LL; 1 day under LD12:12 followed by 2 days under LL) conditions. The two experiments were separated by 3 days under LD12:12. In two individuals per genotype, behavior was further verified using infra-red video recordings.

Electroretinogram (ERG) recording and analysis

For scotopic conditions, mice (Rai1+/+: n = 5; Rai1+/-: n = 6; 15 weeks old; two experimental cohorts from a total of four litters) were dark-adapted overnight and experiments were done under dim-red light. Corneal ERG was recorded with an active ring electrode and responses to single flashes of green light (520 nm; half-bandwidth 35 nm; at 10–4, 10–3, 10–2, 3 × 10–2, 10–1, 3 × 10–1, 1, 3, 10, and 30 cds/m2), generated by a stroboscope in the upper part of a Ganzfeld stimulator (Espion E3 apparatus; Diagnosys LLC, Lowell, MA), were quantified. For each stimulus intensity, 10 to 15 traces were averaged for each eye separately. The a-wave amplitude (photoreceptor response) was defined as the difference between the peak of the a-wave and baseline at the time of stimulation. The b-wave amplitude (second-order neurons) was defined as the difference between the peak of the b-wave and the peak of the a-wave.

Retinal histology

Eye collection, retina processing, and immunolabeling were performed as previously described (Bemelmans et al., 2006). Specifically, antibodies directed against Rhodopsin (1:500, #MA5-11741, Pierce), G-Protein Subunit Alpha Transducin 2 (GNAT2, 1:200, RRID:AB_2279097, #Sc-390, Santa Cruz, Santa Cruz, CA), Protein kinase C alpha (PKCα, 1:200, RRID:AB_2168560, #sc-10800, Santa Cruz), Glial fibrillary acidic protein (GFAP, 1:500, RRID:AB_10013382, #Z0334, Dako, Zug, Switzerland), melanopsin (1:500, RRID:AB_444884, #Ab19383, Abcam, Cambridge, UK), calbindin (1:5000, RRID:AB_10000340, CB-38a, Swant, Marly, Switzerland), ChAT (1:2500, polyclonal goat, gift from Jean-Pierre Hornung, University of Lausanne), and GABA (1:500, RRID:AB_477652, #2052, Sigma, Buchs, Switzerland) were used and visualized with the appropriate secondary antibodies coupled to Alexa Fluor488 or Alexa633 (1:2000, Molecular Probes, Eugene, OR).

c-FOS immunofluorescence

Mice were either exposed to a 1-hr-light pulse from ZT14.5 to ZT15.5 (6.6 cds/m2; n = 6 and 7 for wild-type and heterozygous mice, respectively) or left undisturbed (controls; n = 3/genotype) and sacrificed immediately at ZT15.5. Four experimental cohorts were used comprising nine litters. Mice were deeply anesthetized with pentobarbital sodium (300 mg/ml diluted at 1:15) administered intraperitoneally in a volume of 10 ml/kg body weight. Animals were then perfused transcardially with heparin/PBS followed by a 15 min fixation with 4% paraformaldehyde in PBS. In control mice, this was performed under dim-red light. Brains were carefully removed and post-fixed overnight in the fixative at 4°C. Cryoprotection of brains was achieved by using graded concentrations of sucrose (10-, 20-, and 30%). After 2 days of dehydration at 4°C in sucrose, brains were rapidly frozen in isopentane (Sigma-Aldrich Co, MO) vials placed on dry ice and stored at −80°C. Coronal sections (25 µm) were cut at −20°C using a cryostat. SCN sections were collected (0.22–0.83 mm posterior to bregma). Cryostat sections were mounted and left to air dry for at least 1 hr before being washed in PBS/0.25% Triton and incubated overnight with an anti-c-FOS antiserum (1:250; rabbit polyclonal, Santa Cruz Biotechnology Inc, CA). An Alexa568-conjugated goat anti-rabbit antibody was used as secondary antibody (1:1000, Molecular Probes, Thermo Fisher Scientific Inc, MA) to visualize c-FOS staining. DAPI staining (1:10000, Sigma-Aldrich Co, MO) was used to visualize cell nuclei. Sections were examined and photographed with a Zeiss Axio imager M1 microscope. The number of c-FOS-positive neurons as well as the intensity of the immunoreactivity was quantified using the ImageJ/FIJI plugin (National Institute of Health, MD) for the left and right hemispheres separately.

Gene expression in retina and brain

Pooled mRNA from left and right retina was isolated (n = 5/genotype; one experimental cohort, a total of 3 litters) and purified using the TRIzol RNA Isolation Reagents protocol (Invitrogen, Carlsbad, CA). RNA quantity was assessed with a NanoDrop ND-1000 spectrophotometer (ThermoScientific, Wilmington, DE). For cDNA synthesis, 0.5 μg of total RNA was treated with DNaseI (Amplification Grade, Invitrogen, Carlsbad, CA), reverse-transcribed using random hexamers and Superscript II reverse transcriptase (Invitrogen, Basel, Switzerland) according to standard procedures. The cDNA was diluted 10 times and 1 μl was used as template in a 10 μl TaqMan reaction on an ABI PRISM HT 7900 detection system in technical triplicates. Forward and reverse primers, as well as probes sequences were chosen from the coding regions of genes in Invitrogen website (Rai1, Opn1mw, Opn4, Rho, and Thy1). The expression of each gene was normalized against four control reference transcripts (ActinB, Eef1a1, Rps9, and TubA) using Qbase (Hellemans et al., 2007).

To assess the 24 hr time course of Rai1 brain expression under LD12:12 conditions, samples were collected at 3 hr intervals. At each interval, three male C57BL/6J mice were sacrificed by decapitation after being anesthetized with isoflurane, and the forebrain (whole brain minus brainstem and cerebellum) was dissected. Sampling was performed under normal light conditions during the light phase (ZT0, −6, and −9), and under dim red light during the dark (ZT12, −15, and −18). For each time point, a separate experimental cohort was used originating from four different litters. The tissue was placed in an Eppendorf tube, immediately flash frozen in liquid nitrogen and kept at −80°C until RNA extraction. RNA was isolated and purified with the RNeasy Lipid Tissue Midi kit (Qiagen, Hombrechtikon, Switzerland) and treated with DNaseI. Assessment of RNA quantity, cDNA synthesis, and amplification as described above. As reference transcripts Eef1a1, Gapdh, Gusb, and Rps9 were used. Time courses of Arntl (Bmal1) and Per2 expression were used as positive control.

Statistics

Statistical analyses were performed using R Statistical Software (Foundation for Statistical Computing, Vienna, Austria) and SAS (SAS Institute Inc, Cary, NC). Significant effects of genotype and time-of-day and their interactions were assessed using analysis-of-variance (ANOVA) and decomposed using post-hoc t-tests. Simple two-group genotype contrasts were assessed using t-tests. Circadian rhythmicity in locomotor activity was evaluated using chi-square periodogram analysis (ClockLab, Actimetrics). Statistical significance was set to p<0.05 and results are reported as mean ± standard error of the mean (SEM). SigmaPlot 11 (Systat Software Inc., Chicago, IL) was used to generate graphs.

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Decision letter

  1. Louis J Ptáček
    Reviewing Editor; University of California, San Francisco, United States

In the interests of transparency, eLife includes the editorial decision letter and accompanying author responses. A lightly edited version of the letter sent to the authors after peer review is shown, indicating the most substantive concerns; minor comments are not usually included.

Thank you for submitting your article "Rai1 Frees Mice from the Repression of Active Wake Behaviors by Light" for consideration by eLife. Your article has been reviewed by three peer reviewers, one of whom, Louis J Ptáček (Reviewer #1), is a member of our Board of Reviewing Editors, and the evaluation has been overseen by a Senior Editor. The following individuals involved in review of your submission have agreed to reveal their identity: Ying-Hui Fu (Reviewer #2) and Mark S Blumberg (Reviewer #3).

The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission.

Summary:

SMS is a syndrome in which patients may manifest obesity, aggressive behavior and craniofacial and skeletal dysmorphisms. In addition, they have sleep phase advance and frequent nocturnal awakening and excessive daytime sleepiness. The manuscript by Diessler and colleagues describes study of a mouse model of SMS to better understand the sleep phenotype. The SMS mutations cause haploinsufficiency for Rai1. This paper provides a thorough and largely compelling assessment of the effects of Rai1 haploinsufficiency on circadian and sleep biology, light sensitivity, and other related processes in adult mice. The authors should be commended on their thoroughness, although at times I felt that the core narrative was lost in the pursuit of too much text devoted to subsidiary issues. Where the paper is strongest and most convincing is in the assessments of sleep-wake behavior and electrophysiology, as well as the hyperresponsivity of the mice to light. Because humans with Rai1 mutations exhibit circadian and light responses that are opposite to those of the mice (e.g., light increases activity in humans rather than suppressing it, as in the mice), the authors are led to consider the very interesting idea that species differences on the diurnal-nocturnal dimension accounts for the opposite effects. Building on recent work in nocturnal Norway rats and diurnal Nile grass rats, they provide data and a model to explain the human-mouse differences as related to how Rai1 haploinsufficiency affects activity in the vSPVZ. This last finding highlights the need to attend to species differences when using mice to model human conditions.

Essential revisions:

1) The authors report Rai1 gene expression in retina and brain by sampling every 3 hours. How does this data compare with that in the public domain looking at global expression analysis in different tissues? Is Rai1 expressed in SCN and/or vSPVZ, or surrounding areas?

2) Given the important observations re: changes in sensitivity to entrainment, it is surprising that the authors did not present full PRCs. This would be worthwhile if it could be done in a timely fashion.

3) The authors discuss the fact that the mouse model of SMS does not fully recapitulate the human phenotype, vis-à-vis behavioral outputs. This might, as they mention, represent differences between nocturnal and diurnal animals. Alternately, it may reflect differences in human vs. mouse physiology. The same conundrum has been noted in some of the mouse models of human FASP mutations.

4) The model which it seems the authors favor should be explicitly articulated. Under normal condition, Rai1 protein seems to serve as inhibitor for vSPVZ (-0.7mm) activation by light. vSPVZ activation leads to "suppression of activity in light" based on results from previous reports. Rai1+/+ can inhibit this vSPVZ's suppression of behavior, so animals have some activities in light when in need. Rai1 +/- has reduced inhibition of vSPVZ. This means these mice have higher vSPVZ activities, which further enhances suppression of movement in light, therefore have almost no activity in light.

5) There are a number of problems with the Fos data they present in Figure 10. First, they claim to see a difference in Fos-positive cells between genotypes in the vSPVZ only at the section which is -.71 mm from bregma, yet the only representative Fos data they present (in Figure 10C) is of the -.83 mm section (as stated in the figure legend). Second, they do not provide the scale bars in 10A or 10B, so it is hard to determine where the vSPVZ "box" as depicted in 10A would be in 10B. Third, it is very hard to see Fos in the area above the SCN in the images in 10B -- a higher magnification inset would help. Finally, many people who've studied the vSPVZ would say you need to show either VIP or AVP immuno to demonstrate you are actually outside the SCN and that you know how to differentiate the two structures (the vSPVZ is traditionally defined as either the area innervated by VIP fibers from the SCN or as the area dorsal to AVP neurons of the SCN "shell" and ventral to the AVP neurons of the PVN, or both).

6) Another issue with the Fos experiment concerns the sufficiency of the sample size: N = 3/genotype, as stated in the text. Given the inherent variability of Fos immunoreactivity, this is too small a sample size to feel confident that the results would replicate. And given that this finding is the basis for the model in Figure 11, it seems reasonable to request that additional subjects be tested (and the findings presented more comprehensively; see previous paragraph) to ensure that this aspect of the study is reliable. The sample size in the Fos study is among the smallest of all the experiments. In general, Ns range from 11-12 in the behavioral and electrophysiological experiments to Ns of 3-6 in some of the subsidiary experiments. The problem of small Ns is illustrated very clearly in Figure 2—source data 1, in which a finding with P = 0.04 is considered significant whereas two other findings with P = 0.06 is described like this: "for none of the three sleep-wake states (i.e., waking, NREM sleep, and REM sleep) did the 24h values significantly differ (Figure 2—source data 1)." This is technically correct, but the sample size for these comparisons was only 4/genotype. Such small-N comparisons with borderline p values should be viewed with skepticism.

https://doi.org/10.7554/eLife.23292.024

Author response

Essential revisions:

1) The authors report Rai1 gene expression in retina and brain by sampling every 3 hours. How does this data compare with that in the public domain looking at global expression analysis in different tissues? Is Rai1 expressed in SCN and/or vSPVZ, or surrounding areas?

Rai1 is expressed throughout the brain (Toulouse et al., Genomics 2003; Bi et al., 2007; Fragoso et al., 2015; Huang et al., Neuron 2016) and we now have specified in the Results section that this expression is wide-spread and especially pronounced in olfactory bulb, cerebral cortex, hippocampus, striatum, thalamus, hypothalamus, cerebellum, and brainstem. Public databases such as the Expression Atlas (www.ebi.ac.uk/gxa/genes/), the Allan Brain Atlas (http://mouse.brain-map.org), and MGI’s gene expression database (GXD; http://www.informatics.jax.org/expression.shtml) confirm this. Rai1 expression is also present in several peripheral tissues (liver, lung, digestive system), especially during development.

Although Rai1 is expressed in the hypothalamus we are not aware of publications in which its expression dynamics was quantified specifically in the SCN. The CircaDB (http://circadb.hogeneschlab.org/) database includes, however, a number of time-course transcriptome data sets, 5 of which concern the SCN. In 1 out of these 5, Rai1 expression is deemed rhythmic but this result depend on the type of periodogram analyses chosen and does not survive a 5% false-discovery rate. In none of the other brain areas included in this database does Rai1 expression vary over time thereby confirming the observations made in our study. In the Results section we now refer to the CircaDB database. Studies specifically focusing on the vSPVZ are not available to our knowledge.

2) Given the important observations re: changes in sensitivity to entrainment, it is surprising that the authors did not present full PRCs. This would be worthwhile if it could be done in a timely fashion.

This was one of two additional experiments suggested by the reviewers. Even with the granted 1 month extension, 3 months is still tight to accomplish these types of experiments especially considering the low breeding yield of Rai1+/- mice. Because of this low breeding yield the data in the manuscript now took close to 4 years to collect. We estimate that performing both experiments would take close to a year, as we currently do not have sufficient mice of the right age, sex, and genotype, despite having considerably expanded the breeding of this line. Because a full PRC, to us, seems less pertinent to support the main claims made in the paper, requires more mice, and because the reviewers stated that it “would be worthwhile if it could be done in a timely fashion”, we used all suitable mice (7) to increase sample size for the second experiment instead (see point 6).

3) The authors discuss the fact that the mouse model of SMS does not fully recapitulate the human phenotype, vis-à-vis behavioral outputs. This might, as they mention, represent differences between nocturnal and diurnal animals. Alternately, it may reflect differences in human vs. mouse physiology. The same conundrum has been noted in some of the mouse models of human FASP mutations.

Indeed. We now have specifically pointed out this possibility in the Discussion (see “Reconciling species differences…” paragraph).

4) The model which it seems the authors favor should be explicitly articulated. Under normal condition, Rai1 protein seems to serve as inhibitor for vSPVZ (-0.7mm) activation by light. vSPVZ activation leads to "suppression of activity in light" based on results from previous reports. Rai1+/+ can inhibit this vSPVZ's suppression of behavior, so animals have some activities in light when in need. Rai1 +/- has reduced inhibition of vSPVZ. This means these mice have higher vSPVZ activities, which further enhances suppression of movement in light, therefore have almost no activity in light.

We have put in an effort to make the Discussion section concerned (see “Reconciling species differences…” paragraph) more straightforward and have more clearly formulated our ideas. Apart from an acute and active signaling role for RAI1 as a transcriptional regulator, other scenarios could be envisioned such as one involving RAI1 in establishing and maintaining the appropriate signaling circuitry. Such role has been demonstrated for RAI1’s role in another hypothalamic network involved in food intake (Huang et al., 2016). Our present data do not allow to favor either possibility (acute signaling versus establishing the correct neuronal circuitry) as stated in the Conclusion section.

5) There are a number of problems with the Fos data they present in Figure 10. First, they claim to see a difference in Fos-positive cells between genotypes in the vSPVZ only at the section which is -.71 mm from bregma, yet the only representative Fos data they present (in Figure 10C) is of the -.83 mm section (as stated in the figure legend). Second, they do not provide the scale bars in 10A or 10B, so it is hard to determine where the vSPVZ "box" as depicted in 10A would be in 10B. Third, it is very hard to see Fos in the area above the SCN in the images in 10B -- a higher magnification inset would help. Finally, many people who've studied the vSPVZ would say you need to show either VIP or AVP immuno to demonstrate you are actually outside the SCN and that you know how to differentiate the two structures (the vSPVZ is traditionally defined as either the area innervated by VIP fibers from the SCN or as the area dorsal to AVP neurons of the SCN "shell" and ventral to the AVP neurons of the PVN, or both).

We redid this experiment (see point 6) and the figures. We have highlighted the scale bars and put in an effort to make the figures clearer. The genotype effect on c-FOS in the vSPVZ, although significant, is not immediately apparent by eye due to the relative sparsity of c-FOS positive cells (as compared to the SCN) and the somewhat larger variability.

We are, however, confident not to confuse c-FOS reactivity (red dots in all 4 panels of Author response image 1) within the SCN with that quantified in the vSPVZ. First the compactness of the DAPI-stained SCN cell nuclei (left two panels) reliably delimits the extent of the SCN which we now confirmed by adding AVP staining in the new experiment (labelled green; right two panels; upper panels matching images of a Rai1+/- brain at bregma -0.83mm; lower panels of a Rai1+/+ brain at -0.73mm). Although the quality of AVP staining could not be optimized, its expressing in the shell follows the DAPI-derived outline of the SCN. Moreover, it can be clearly seen that the c-FOS expression in the SCN is largely limited to its retinorecipient core located ventrally (devoid of AVP staining) precluding mixing-up c-FOS induced in the SCN with that of the sSPVZ. See also Schwartz et al., Neuroscience2000 and Abrahamson & Moore Brain Res2001, and our comparable analysis performed in Opn4-/- mice (Tsai et al., PLoS Biol2009).

The new data confirmed our original claim that Rai1+/- mice have less cFOS reactivity in the SCN and more in the vSPVZ area upon light exposure. However, the claim concerning section-specificity of the genotype effect within the vSPVZ (the difference between the two sections referred to as -0.71mm and -0.83mm) does no longer hold; within the new subset values were significantly higher in the -0.83mm section and not, as we previously reported, limited to the -0.71mm section. Our techniques are apparently not sensitive enough to reliably distinguish between the two. In the new analyses we therefore pooled the number of cFOS+ cells in both sections within each animal and removed the claim of this specificity in the manuscript. For consistency we also pooled the results of the SCN which showed robust and significant decreases in both sections and in both experiments. As the two sections on which this analysis was based differ in SCN size we still show examples of both sections in Figure 10.

6) Another issue with the Fos experiment concerns the sufficiency of the sample size: N = 3/genotype, as stated in the text. Given the inherent variability of Fos immunoreactivity, this is too small a sample size to feel confident that the results would replicate. And given that this finding is the basis for the model in Figure 11, it seems reasonable to request that additional subjects be tested (and the findings presented more comprehensively; see previous paragraph) to ensure that this aspect of the study is reliable. The sample size in the Fos study is among the smallest of all the experiments. In general, Ns range from 11-12 in the behavioral and electrophysiological experiments to Ns of 3-6 in some of the subsidiary experiments. The problem of small Ns is illustrated very clearly in Figure 2—source data 1, in which a finding with P = 0.04 is considered significant whereas two other findings with P = 0.06 is described like this: "for none of the three sleep-wake states (i.e., waking, NREM sleep, and REM sleep) did the 24h values significantly differ (Figure 2—source data 1)." This is technically correct, but the sample size for these comparisons was only 4/genotype. Such small-N comparisons with borderline p values should be viewed with skepticism.

Indeed an n of 3 is small and the request for additional mice is very reasonable. As explained to the Editor upon receiving the reviews (see also point 2) we could include 7 additional mice (3 wt, 4 hets) that we successfully used for the c-FOS experiment, thereby raising the total n’s to 6 and 7, in Rai1+/+ and Rai1+/- mice, respectively. These numbers are within range of what is current in these types of experiments (e.g., Todd, Gall, Weiner and Blumberg, 2012). By confirming the overall effects we first described (but not the section specificity; see main point 5), we now feel confident about the results and thank the reviewers for suggesting the additional experiment.

More generally, the number of mice used is always a compromise among many considerations such as having enough statistical power while being urged to reduce the number of animals by animal-use committees. The initial, larger experiments demonstrated that the genotype differences in the effects of light on locomotor activity and theta-dominated waking were large. We therefore thought it justifiable that for follow-up experiments, in which we were able to reproduce the initial observations, to use fewer mice. The main behavioral findings on which our manuscript is based are very robust and can be readily observed in each individual.

https://doi.org/10.7554/eLife.23292.025

Article and author information

Author details

  1. Shanaz Diessler

    Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
    Contribution
    SD, Conceptualization, Formal analysis, Supervision, Investigation, Visualization, Writing—original draft, Writing—review and editing
    Competing interests
    The authors declare that no competing interests exist.
  2. Corinne Kostic

    Jules-Gonin Eye Hospital, Fondation Asile des Aveugles, University of Lausanne, Lausanne, Switzerland
    Contribution
    CK, Formal analysis, Investigation, Visualization, Writing—review and editing
    Competing interests
    The authors declare that no competing interests exist.
  3. Yvan Arsenijevic

    Jules-Gonin Eye Hospital, Fondation Asile des Aveugles, University of Lausanne, Lausanne, Switzerland
    Contribution
    YA, Conceptualization, Supervision, Writing—review and editing
    Competing interests
    The authors declare that no competing interests exist.
  4. Aki Kawasaki

    1. Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
    2. Jules-Gonin Eye Hospital, Fondation Asile des Aveugles, University of Lausanne, Lausanne, Switzerland
    Contribution
    AK, Conceptualization, Writing—review and editing
    Competing interests
    The authors declare that no competing interests exist.
  5. Paul Franken

    Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
    Contribution
    PF, Conceptualization, Formal analysis, Supervision, Funding acquisition, Visualization, Writing—original draft, Project administration, Writing—review and editing
    For correspondence
    paul.franken@unil.ch
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2500-2921

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (CRSII3_136201)

  • Paul Franken

State of Vaud, Switzerland

  • Paul Franken

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (31003A_146694)

  • Paul Franken

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

We thank Mirjam Münch for her constructive and important input on the project, Alexandre Reymond for housing the mice and sharing his expertise on genomic structural changes and their resulting pathologies, James R Lupski for generously providing the Rai1+/- mice, Yann Emmenegger, Sylvain Crippa, and Catherine Moret for excellent technical support, Jean-Pierre Hornung for providing the ChaT antibodies, H Craig Heller for helpful discussions, and Charlotte Hor for editing the manuscript.

Ethics

Animal experimentation: All experiments were approved by the Ethical Committee of the State of Vaud Veterinary Office, Switzerland (# VD2545).

Reviewing Editor

  1. Louis J Ptáček, University of California, San Francisco, United States

Publication history

  1. Received: November 16, 2016
  2. Accepted: May 24, 2017
  3. Accepted Manuscript published: May 26, 2017 (version 1)
  4. Version of Record published: June 8, 2017 (version 2)
  5. Version of Record updated: June 9, 2017 (version 3)

Copyright

© 2017, Diessler et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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