Abstract
The circadian pacemaker in the suprachiasmatic nucleus (SCN) yields photoperiodic response to transfer seasonal information to physiology and behavior. To identify the precise location involved in photoperiodic response in the SCN, we analyzed circadian Period1 and PERIOD2 rhythms in horizontally sectioned SCN of mice exposed to a long or short day. Statistical analyses of bioluminescence images with respective luciferase reporters on pixel level enabled us to identify the distinct localization of three oscillating regions; a large open-ring-shape region, the region at the posterior end and a sharply demarcated oval region at the center of the SCN. The first two regions are the respective sites for the so-called evening and morning oscillators, and the third region is possibly a site for mediating photic signals to the former oscillators. In these regions, there are two classes of oscillating cells in which Per1 and Per2 could play differential roles in photoperiodic responses.
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Introduction
The circadian pacemaker in mammals is located in the suprachiasmatic nucleus (SCN) and responds to light and darkness to entrain to the day-night alternation (LD). The SCN circadian pacemaker also responds to changes in day length (photoperiod) and transfers seasonal information to physiology and behavior1. The SCN consists of a number of oscillating cells which are coupled with each other to produce coherent SCN output rhythms2. The core molecular mechanism involves a transcriptional and translational feedback loop composed of clock genes, Per1, Per2, Cry1, Cry2, Bmal1, Clock, and their protein products3. They show robust circadian rhythms in their expression.
Photoperiodic changes in behavior, especially in the length of activity time in nocturnal rodents, were ascribed to the phase-relation between two circadian oscillators which differentially respond to light and regulate the onset and end of activity band of circadian behavior rhythms4. The two oscillators are called respectively the evening (E) and morning (M) oscillators. Previously, we demonstrated different responses of the circadian rhythms in clock gene Per1 expression to a long (LD 18:6) and a short (LD 6:18) day in the SCN of mice carrying a bioluminescence reporter5. The findings supported the hypothesis of the E and M oscillators and further suggested the site of two oscillators; the E oscillator in the anterior and the M oscillator in the posterior SCN, respectively. We also found the third oscillator in the anterior SCN, but the role of this oscillation in the photoperiodic response was not elucidated. In our previous study, the SCN was sectioned in a coronal plane, which could interrupt the connection of these oscillators located in the anterior and posterior SCN, and thereby could manifest two different oscillations unless otherwise tightly coupled. If this is the case, the manifestation of two oscillations might be an artifact of slicing as demonstrated between the dorsal and ventral SCN6. This possibility should be examined by horizontal sectioning of the SCN, in which the neural connections between the anterior and posterior SCN would largely be kept intact. On the other hand, the connection of two oscillations might be kept in the horizontally sectioned SCN, and under these conditions the artifact issue would be ignored.
One of the difficulties to identify the precise sites of the E and M oscillators stems from a slight change in the shape of an SCN slice during culturing. Because of the technical issue, statistical analysis of circadian rhythms at distinct sites of the SCN has not been successfully performed. To overcome the difficulty, we adopted a geometrical transformation method7, 8 to normalize the shape of a cultured SCN slice, which enabled us to statistically compare bioluminescence images from different sites of the SCN on pixel level.
In the present study, the circadian rhythms in Per1 and PER2 were measured ex vivo by using bioluminescence reporters from horizontally sectioned SCN of mice exposed to a long or short day. We measured Per1 transcript rhythm which allows us to compare the present results with our previous study5, and PER2 protein rhythm to compare our result with those from other groups9,10,11. And the phase-relationship between the two rhythms was compared under different photoperiods. Here we demonstrate the two oscillating regions which correspond respectively to the site of the E, M oscillators and an oscillator which may transfer light signals to the former two oscillators.
Results
Per1-luc and PER2::LUC bioluminescence throughout the horizontally sectioned SCN slices
To confirm the regional differences in the photoperiodic response detected by coronal sectioning of the SCN5, we re-examined those differences using horizontally sectioned SCN slices. Horizontal SCN slices of 100 μm thick were prepared from the adult Per1-luc 5 and Per2 Luc 12 mice which had been exposed to a long (LD18:6) or short (LD6:18) day for 3–5 weeks. The slices were obtained at ca. 300 μm above the bottom of the brain, which expected to include the three targeted oscillators as suggested in the previous study5. Per1-luc and PER2::LUC bioluminescence from cultured SCN slices were analyzed on pixel level (pixel size: 3.7 × 3.7 μm). Bioluminescence of both Per1-luc and PER2::LUC was clearly detected as a seahorse shape with the head at the posterior end of the horizontal SCN slice, showing robust circadian rhythms at least for several days, especially at the head (Fig. 1, Supplementary movie).
Circadian rhythms on the first culture day were analyzed in cell-size regions of interest (ROI) in the SCN slices (n = 20) (Fig. 2 and Supplementary Fig. 1). The circadian peak-phases were calculated by a geometric method reported previously5 and plotted against the local time in a histogram (Fig. 2a–d, right). With respect to the circadian Per1-luc rhythm, the distribution of peak phases in LD18:6 was bimodal in the anterior SCN, clustering at the beginning and the latter half of light phase (Fig. 2a, upper). The bimodality was confirmed by fitting to a double Gaussian equation to the distribution curve13 (Fig. 2a, right). By contrast, the peak-phase distribution in the posterior SCN in LD18:6 (Fig. 2a, lower) was unimodal. The same was true for both the anterior and posterior SCN in LD 6:18 (Fig. 2b). They were fitted to a single Gaussian equation. With respect to the circadian PER2::LUC rhythm, the peak-phase distribution was unimodal both in the anterior and posterior SCN, regardless of the photoperiod (Fig. 2c,d).
The mean medians (μ) of a fitted double Gaussian equation for Per1-luc in LD18:6 were located at 6.9 ± 1.0 h (mean ± SD, n = 5) and at 16.0 ± 1.1 h in the anterior SCN, whereas the mean median was detected at 11.3 ± 1.1 h in the posterior SCN (Fig. 2e, upper). The phases of three medians were significantly different (One-way ANOVA with a post-hoc Tukey-Kramer test, P = 2.07 × 10−6). In LD6:18, the mean median was located at similar phases in the anterior and posterior SCN (ant, 11.0 ± 0.8 h; post, 11.0 ± 0.6 h), while in LD6:18 the median phase in the anterior SCN was significantly different from the two anterior medians in LD18:6 and located just in between (one-way ANOVA with a post-hoc Tukey-Kramer test, P = 2.12 × 10−6) (Fig. 2e, upper). The median phase in the posterior SCN was not different between LD18:6 and LD 6:18. The mean median for PER2::LUC in LD18:6 was located at 17.2 ± 1.3 h in the anterior and at 15.5 ± 0.8 h in the posterior SCN (Fig. 2e, lower), while that in LD6:18 was located at 16.6 ± 1.1 h in the anterior and at 15.2 ± 1.0 h in the posterior SCN, respectively. Two-way ANOVA revealed significant differences between the anterior and posterior SCN in both rhythms, but did not between the photoperiods (region, P = 0.01; LD, P = 0.43; region × LD, P = 0.75).
We then compared the variability of a peak-phase distribution in terms of the mean variance (σ) of a fitted Gaussian equation. With respect to the circadian Per1-luc rhythms, the variability was significantly larger in LD18:6 than in LD6:18, regardless of the SCN region (one-way ANOVA with post-hoc Tukey-Kramer test, ant, P = 0.04; post, P = 9.68 × 10−4) (Fig. 2f, left). In LD6:18, the variability was significantly larger in the anterior SCN than in the posterior (one-way ANOVA with post-hoc Tukey-Kramer-test, P = 0.04). With respect to the circadian PER2::LUC rhythm, the variability in LD18:6 was significantly larger in the anterior SCN than in the posterior, and as for the anterior SCN it was significantly larger in LD18:6 than in LD 6:18 (two-way ANOVA; region, P = 4.33 × 10−3; LD, P = 3.76 × 10−5; region × LD, P = 8.26 × 10−3, with a post-hoc Tukey-Kramer test) (Fig. 2f, right).
The mean amplitude of circadian rhythm was obtained by averaging the individual means of circadian rhythm in ROI examined in each SCN slice (n = 5). The amplitude was expressed as a difference between the maximum and minimum values of circadian rhythm. With respect to the Per1-luc rhythms (Fig. 2g, left), the mean amplitude was not significantly different within the two SCN regions in either LD18:6 or LD6:18. On the other hand, the amplitude in the posterior SCN was significantly higher in LD6:18 than in LD18:6 (one-way ANOVA, P = 0.01). With respect to the circadian PER2::LUC rhythm (Fig. 2g, right), the mean amplitude was significantly larger in LD6:18 than in LD18:6 without significant difference between the regions (Two-way ANOVA; region, P = 0.28; LD, P = 0.02; region × LD, P = 0.84).
Regional specificities of circadian Per1-luc rhythms
In order to systematically evaluate the photoperiodic responses in different regions of the SCN, we measured bioluminescence on pixel level (pixel size: 3.7 × 3.7 μm). Temporal changes of Per1-luc bioluminescence were analyzed with a cosine curve fitting method using data obtained at one hour intervals. Significance of circadian rhythm was tested by a percent rhythm method14 (Fig. 3a). The acrophase (peak phase) and amplitude of circadian rhythm were obtained from the best fitted cosine curve of significant fitting (P < 0.01) (Fig. 3b,c).
In LD18:6, almost all pixels indicated significant circadian rhythms, showing the highest fitting in the posterior SCN (Fig. 3a). With respect to the circadian peak, sharply demarcated three regions were detected in the acrophase map (Fig. 3b). The acrophase in the posterior region of the SCN (head of seahorse) was located at around the middle of the light phase, that in the open-ring-shaped region (body and tail) was at around 18:00 h, and that in the oval centrum surrounded by the open-ring was at around 8:00 h (Fig. 3b). The amplitude map revealed the highest amplitude in the posterior SCN and lowest in the centrum to the lateral outlet (Fig. 3c). ROI-based circadian Per1-luc rhythms in the typical regions mentioned above confirmed the general feature of circadian rhythm in each region (Fig. 3d).
Based on these characteristics of the acrophase and amplitude maps, we divided the SCN into four regions and named them alphabetically (Fig. 3e): the region A, an open-ring-shape region blank at the posterolateral margin of the SCN, covering the anterior to posterior part of the SCN. In this region, the circadian rhythms were most phase-lagged and the rhythm amplitude was intermediate among the four regions; the region B, a triangle region at the posterior end where the phases of circadian rhythms were intermediate and the amplitude was highest among the four regions; the region C, the oval centrum surrounded by the open-ring, where the circadian rhythms were most phase-ahead and the amplitude was low; the region D, the outlet of the open-ring, where the circadian peak phases were similar to those of the region C and the amplitude was the lowest.
These regions were superimposed with the areas of immunohistochemically stained neuropeptides. The region A and B were found to cover the arginine-vasopressin (AVP) positive area, while the region C and a part of region A covered the vasoactive intestinal peptide (VIP) positive area (Fig. 3f). A part of the region C and the region D covered the gastrin releasing peptide (GRP) positive area. The region D also covered the cholera toxin subunit B (CT-B) positive area where the retinohypothalamic tract projected (Fig. 3f,g).
Statistical evaluation of acrophase and amplitude of the four regions in the horizontal SCN slice
In order to confirm the above mentioned regional feature is also the case for other SCN slices and to perform statistical evaluation of circadian rhythms in these regions, we standardized bioluminescence images of the all cultured SCN slices examined (n = 35 including all slices in this study). For this purpose, we adopted a geometrical transformation using Delaunay triangulation8 and affine mapping7. The transformation was done without any assumption of structural specificities of the regions. Eight reference points were adopted in the margin of bioluminescence area of the template SCN slice selected (Fig. 4a). The rest of SCN slices were transformed according to the template SCN. Thus, all the SCN slices examined had common coordinates, which made statistical analyses of circadian rhythms possible on pixel level. The averaged image was demonstrated in Fig. 4b and each of the transformed SCN image was illustrated in Supplementary Fig. 2b,c (n = 20). The change in the size of these SCN by this transformation was 119 ± 24% on average.
We next examined the mean phase relationships, acrophases and amplitudes of circadian rhythms in different regions of the standardized SCN. The circadian Per1-luc rhythms in the regions B and C were significantly phase-ahead than that in the region A in LD18:6, whereas the regional difference was not detected in LD6:18 (Fig. 4b–d, Supplementary Fig. 3). By contrast, only a slight regional difference was observed in the circadian PER2::LUC rhythm, but the difference due to photoperiods was not clear. The phase-difference between LD18:6 and LD6:18 (Fig. 4c) was significant in the substantial number of pixels of the region A and C for the circadian Per1-luc rhythm, and in the most of the region C for the PER2::LUC rhythms (t-test, P < 0.05) (Fig. 4d). The phase-difference was essentially absent in the region B and D for the circadian Per1-luc rhythm, and the regions A, B and D for the circadian PER2::LUC rhythm.
The mean acrophases of circadian Per1-luc rhythm obtained in the four regions were significantly different in LD18:6 (one-way ANOVA, P = 1.50 × 10−3) but not in LD6:18 (P = 0.27) (Fig. 4e). When the acrophase in LD18:6 was compared with that in LD6:18, it was significantly phase-delayed in the region A by 2.9 h and significantly phase-advanced in the region C by 2.6 h (two-way ANOVA post-hoc Tukey-Kramer test, region, P = 2.46 × 10−3; LD, P = 0.31; region × LD, P = 2.93 × 10−3). The acrophase of the circadian PER2::LUC rhythm in LD18:6 was not different among the four regions (one-way ANOVA, P = 0.08) but was significantly phase-delayed in LD6:18 (two-way ANOVA, region, P = 0.01; LD, P = 1.89 × 10−3; region × LD, P = 0.14) (Fig. 4e).
The amplitude of circadian rhythm was also region specific. Relative amplitude to the mean of each SCN was calculated on pixel level (Fig. 5a). The means of relative amplitude in the four regions were shown in Fig. 5b. With respect to the circadian Per1-luc rhythm, there was a significant difference in the four regions in both LD18:6 and LD6:18, showing the highest mean amplitude in the region B and the lowest in the region D (one-way ANOVA, LD18:6, P = 1.53 × 10−8; LD6:18, P = 7.06 × 10−6). With respect to the circadian PER2::LUC rhythm, the regional difference in the amplitude was statistically significant in both LD18:6 and LD6:18, showing a lower amplitude in the region D than in other three regions in which the relative amplitude was not different from each other (one-way ANOVA; LD18:6, P = 9.75 × 10−5; LD6:18, P = 6.76 × 10−6; Fig. 5b).
Blunted regional difference of acrophase in constant darkness
To understand the intrinsic nature of regional difference in circadian phase, the phase-relation was examined without an influence of LD cycle. Per1-luc mice kept in LD18:6 were released into constant darkness (DD) for four days and the horizontally sectioned SCN were cultured for several days. Circadian parameters were compared between LD and DD. The regional difference in the acrophase observed in LD (one-way ANOVA, P = 5.67 × 10−4) disappeared in DD (one-way ANOVA, P = 0.06) (Fig. 6a–c). The regional difference in the relative amplitude of circadian Per1-luc rhythm persisted in DD with the highest amplitude in the region B and the lowest in the region D (one-way ANOVA; LD 18:6, P = 1.13 × 10−12; DD, P = 1. 76 × 10−5). (Fig. 6d,e).
Distribution of Per1 and Per2 mRNA in the SCN
In order to understand the origin of differential photoperiodic responses between circadian Per1-luc and PER2::LUC rhythms, we examined the gene expressions on single cell level by double-labeling in situ hybridization (Fig. 7a). There detected three types of cells that were labeled differentially; the cells expressing only Per1, those expressing only Per2 and the cells expressing both Per1 and Per2. The only Per1 expressing cells are rare and approximately 20 times less than the only Per2 expressing cells (Fig. 7b). Approximately a half of SCN cells examined co-expressed Per1 and Per2. The number of the only Per1 expressing cells was predominant at the mid-day and the day/night ratio was 5.86 calculated for the entire SCN region (for the particular regions: A, 7.25; B, 11.00; C, 3.00; D, 4.00), whereas the number of the only Per2 expressing cells was abundant at the mid-night and the day/night ratio was 0.43 for the entire SCN region (for the particular regions: A, 0.43; B, 0.37; C, 0.43; D, 0.50). The day/night ratio of the co-expressing cells was different from either of them, and was hard to be explained by a simple assumption that Per1 and Per2 are expressed rhythmically in the same single cell. These findings rather indicate that two different types of cells were mixed in the population of the co-expressing cells; one is the cells which showed the day/night pattern of the only Per1 expressing cells without rhythmic changes in Per2 expression (Per1 type cell), and the other is the cells which show that of the only Per2 expressing cells without rhythmic changes in Per1 expression (Per2 type cell). The numbers of Per1 type and Per2 type cells were calculated in each SCN region and the ratios to the total cell number of a respective region were illustrated in a pie chart together with the ratios of the only Per1 and only Per2 expressing cells (Fig. 7c). According to the chart, the ratio was different among regions. The circadian Per1 rhythm was observed in approximately 31% of the total cells in the region A, 45% in the region B, 42% in the region C and 27% in the region D, respectively. Interestingly, almost all the co-expressing cells in the region B were the Per1 type.
Discussion
The present study revealed the sites of circadian oscillations which are involved in the photoperiodic response in the mouse SCN. The combination of pixel level analysis with a geometrical transformation method enabled us an objective and comprehensive analysis of time-lapse imaging data.
Differential photoperiodic responses of circadian Per1 and PER2 rhythms in the horizontal plane of the SCN slice
Previously, we demonstrated two clusters of cellular circadian rhythms of Per1-luc in the anterior SCN slice in the mice exposed to LD 18:6, but a single cluster in the mice to LD 6:18. On the other hand, in the posterior SCN, only one cluster of circadian rhythms was identified regardless of photoperiods. Consistent with these findings, the present study demonstrated two clusters of circadian rhythms in Per1 expression in the anterior part of the horizontally sliced SCN in LD18:6 (Fig. 2a,b). It could be a matter of debate whether the change in the circadian system of the cultured SCN slice is an artifact of slicing or not, because slicing of the SCN could interrupt the neural network, resulting in disconnection of the regional oscillators. However, this possibility is less likely, because exactly the same results were obtained regardless of whether the SCN was sliced on the frontal plane5 or horizontal (Fig. 2a,b).
Surprisingly, the cellular circadian rhythms in PER2 showed a single cluster in the anterior part of the SCN regardless of whether they were exposed to LD18:6 or LD6:18 (Fig. 2c,d). The variability of a PER2 cell cluster in terms of the σ of Gaussian distribution was significantly larger in the anterior SCN in LD18:6 than those in LD6:18 (Fig. 2f). Recently, a similar photoperiodic variability of peak times of circadian PER2::LUC rhythm was reported11. These findings suggest the possibility that two clusters of cellular circadian rhythms are also involved in PER2 expression similar to Per1 expression. Importantly, the phase position of circadian PER2 rhythms in reference to the light phase (or local time) was not changed by changes in photoperiod. As a result, the phase-angle difference from the circadian Per1 rhythm was substantially changed in the anterior SCN under a long day (Fig. 2e). These findings indicate that the circadian rhythms in Per1 expression and in PER2 are regulated by different oscillators.
Four distinct regions in the horizontal SCN show characteristic responses to photoperiods
Geometrical transformation of the SCN slice by Delaunay triangulation8 and affine mapping7 revealed four distinct regions which are characterized by the circadian Per1 rhythms of different parameters (Fig. 3e) and differential responses to photoperiods (Fig. 4b–e). Bioluminescence images of the horizontal SCN slice was characterized by the seahorse shape structure which was divided into two different regions; a major part of open-ring structure (region A) and a triangle region at the posterior end adherently to the ring (region B) (Fig. 3e). The circadian Per1 rhythms in the region A had an intermediate amplitude and phase-shifted in response to the changes of photoperiod, corresponding to the phase-lagged circadian rhythms in the anterior SCN in LD18:6 (Fig. 2a,b). The circadian rhythms in the region B were highlighted by the highest amplitude and stable phases insensitive to the change of photoperiod, corresponding to the circadian rhythms in the posterior SCN (Fig. 2a,b). The region C is characterized by the circadian rhythms of intermediate amplitude and phase-shifting in response to the changes of photoperiod, corresponding to the phase-leading rhythms in the anterior SCN in LD18:6 (Fig. 2a). The region D is characterized by the circadian rhythms of the lowest amplitude and a lack of photoperiodic response (Figs 2–5). These regions could be reconstructed in serial sections of coronal SCN slices, since a rough picture of different regions were observable in the coronal slice of anterior SCN5.
Taken our previous and present results together, the circadian rhythms in the regions A and B (Fig. 4) could be regarded as the sites of the E oscillator driving the activity onset and of the M oscillator driving the activity offset, respectively. Two different circadian peaks were detected previously in neuronal activity of the horizontally sliced SCN in the hamster exposed to a long day15, supporting the above hypothesis. On the other hand, only one peak was detected in the SCN neuronal activity of mice which were exposed to either of LD12:12 or LD14:1016. The discrepancy could be due to a moderate long photoperiod (LD14:10) used in their study as compared with a longer photoperiod (LD18:6)5. The phase-angle difference between the two peaks could depend on the length of photoperiod14. The role of circadian rhythms in the region C were not characterized in the previous study5. A phase-relation of this oscillator to the light-on was almost the same in both photoperiods examined. In addition, the regional dependency of circadian phase was lost in DD without a significant change in the amplitude (Fig. 6). These findings suggest that the oscillator in the region C mediates the light signal to the E and M oscillators.
Distribution of Per1 and Per2 expressing cells and differential responses to photoperiods
Interestingly, the circadian rhythms in PER2 did not respond to photoperiodic changes in day length except for the region C (Fig. 4c,d), partially consistent with the previous studies9, 17. Since the phase of circadian Per1 rhythm was changed in the regions A and C, the phase-angle difference between the circadian Per1 and PER2 rhythms in the region A, but not in the regions C, was significantly different in the two photoperiods (Fig. 4c,e). The finding indicates that the two circadian rhythms in this region are regulated by different oscillations. The notion is consistent with the previous report of different free-running periods of locomotor activity rhythm in Per1 or Per2 single knock-out mice18.
The majority of Per1 expressing cells also express Per2, while there is a large cell population in which Per2 are expressed without significant expression of Per1 (Fig. 7), partially consistent with the previous reports of regional differences in the expressions of Per1 and Per2, and their protein products19, 20. The present finding raises the question whether the photoperiodic changes in the phase-relationship between the two circadian rhythms occur within the same single SCN cells or not. We do not have any evidence for the hypothesis that the same single cells show different circadian oscillations for Per1 and Per2 expression. On the other hand, approximately one third of the Per1 and Per2 co-expressing cells showed the day/night expression pattern of Per1 type in the region A (Fig. 7c). Per2 expression was assumed not rhythmic in these cells. This assumption was based on an absence of the counterpart in the circadian PER2::LUC rhythm of the cell cluster that showed the circadian Per1-luc rhythms at the early light phase in LD18:6 (Figs 2a and 4b). Similar Per1 type cell populations could be assumed in other regions (Fig. 7c). These finding suggests two classes of SCN cells in which Per1 or Per2 is exclusively involved in the circadian oscillation.
Roles of neuropeptides in photoperiodic response
Each oscillating region is characterized by immunohistochemically identified neuropeptides. The region A included the AVP and VIP positive neurons, whereas the region B contained mostly the AVP positive neurons (Fig. 3f,g). On the other hand, the region C included the VIP and GRP positive neurons. The region D contains the GRP neurons and was heavily labeled by CT-B, indicating the terminal of the retinohypothalamic tract. (Fig. 3f,g). VIP and AVP play important roles in integrating the cellular circadian rhythms in the SCN21, 22. A lack of VIP signaling in the SCN is known to disturb the circadian behavior rhythms to a various extent13, 23. VIP in the SCN seems to mediate the light signal from the retinohypothalamic tract to the AVP containing neurons24, 25 and its production was strongly affected by light26. On the other hand, the AVP containing neurons in the SCN are also important for the circadian behavior rhythms, especially for the coupling of the activity onset and offset27. In addition, AVP could be regarded as a mediator of the SCN neural network involved in build-up of cell clusters28. Thus, AVP and VIP are likely involved in photoperiodic changes in the phase-difference between the E and M oscillators.
In conclusion, there are at least four clusters of cellular circadian rhythms which are topologically distinct in the horizontal plane of the SCN and differentially respond to photoperiodic changes. The cell clusters located in the region A and B are corresponding to the E and M oscillators, respectively. The cell cluster in the region C possibly mediates the light signals from the retinohypothalamic tract to the E and M oscillators. The cell cluster in the region D is a site for receiving the light information from the retina. In these regions, there are two classes of oscillating cells which respond differently to photoperiod and in which Per1 and Per2 are differentially involved.
Materials and Methods
Animal experiment was conducted in accordance with the Guidelines for the Care and Use of Laboratory Animals of Hokkaido University. The present experiments were approved by the Animal Research Committee of Hokkaido University (permission number 13-0069). Additional materials and methods are described in supplemental information.
References
Coomans, C. P., Ramkisoensing, A. & Meijer, J. H. The suprachiasmatic nuclei as a seasonal clock. Front. Neuroendocrinol. 37, 29–42 (2015).
Mohawk, J. A., Green, C. B. & Takahashi, J. S. Central and peripheral circadian clocks in mammals. Annu. Rev. Neurosci. 35, 445–462 (2012).
Reppert, S. M. & Weaver, D. R. Coordination of circadian timing in mammals. Nature 418, 935–941 (2002).
Pittendrigh, C. S. & Daan, S. A functional analysis of circadian pacemakers in nocturnal rodents. V. Pacemaker Structure: A Clock for All Seasons. J. Comp. Physiol. A 106, 333–355 (1976).
Inagaki, N., Honma, S., Ono, D., Tanahashi, Y. & Honma, K. Separate oscillating cell groups in mouse suprachiasmatic nucleus couple photoperiodically to the onset and end of daily activity. Proc. Natl. Acad. Sci. USA 104, 7664–7669 (2007).
Koinuma, S. et al. Regional circadian period difference in the suprachiasmatic nucleus of the mammalian circadian center. Eur. J. Neurosci. 38, 2832–2841 (2013).
Burger, W. & Burge, M.J. Geometric Operations. in Digital Image Processing, An algorithmic introduction using Java 375–427 (Springer, 2008).
O’Rourke, J. Voronoi Diagrams. In Computational Geometry in C 181–226 (Cambridge University Press, 1998).
Mickman, C. T., Stubblefield, J. S., Harrington, M. E. & Nelson, D. E. Photoperiod alters phase difference between activity onset in vivo and mPer2::luc peak in vitro. Am. J. Physiol. 295, R1688–R1694 (2008).
Evans, J. A., Leise, T. L., Castanon-Cervantes, O. & Davidson, A. J. Intrinsic regulation of spatiotemporal organization within the suprachiasmatic nucleus. PLoS One 6, e15869 (2011).
Buijink, M. R. et al. Evidence for weakened intercellular coupling in the mammalian circadian clock under long photoperiod. PLoS One 11, e0168954 (2016).
Yoo, S.-H. et al. PERIOD2::LUCIFERASE real-time reporting of circadian dynamics reveals persistent circadian oscillations in mouse peripheral tissues. Proc. Natl. Acad. Sci. USA 101, 5339–5346 (2004).
Ono, D., Honma, S. & Honma, K.-i. Differential roles of AVP and VIP signaling in the postnatal changes of neural networks for coherent circadian rhythms in the SCN. Science Advances 2, e1600960 (2016).
Yoshikawa, T. et al. Spatiotemporal profiles of arginine vasopressin transcription in cultured suprachiasmatic nucleus. Eur. J. Neurosci. 42, 2678–2689 (2015).
Jagota, A., de la Iglesia, H. O. & Schwartz, W. J. Morning and evening circadian oscillations in the suprachiasmatic nucleus in vitro. Nat. Neurosci. 3, 372–376 (2000).
Burgoon, P. W., Lindberg, P. T. & Gillette, M. U. Different patterns of circadian oscillation in the suprachiasmatic nucleus of hamster, mouse, and rat. J. Comp. Physiol. A 190, 167–171 (2004).
Evans, J. A., Leise, T. L., Castanon-Cervantes, O. & Davidson, A. J. Dynamic interactions mediated by nonredundant signaling mechanisms couple circadian clock neurons. Neuron 80, 973–983 (2013).
Bae, K. et al. Differential functions of mPer1, mPer2, and mPer3 in the SCN circadian clock. Neuron 30, 525–536 (2001).
Cheng, H.-Y. M. et al. Segregation of expression of mPeriod gene homologs in neurons and glia: possible divergent roles of mPeriod1 and mPeriod2 in the brain. Hum. Mol. Genet. 18, 3110–3124 (2009).
Riddle, M., Mezias, E., Foley, D., LeSauter, J. & Silver, R. Differential localization of PER1 and PER2 in the brain master circadian clock. Eur. J. Neurosci., 45, 1357–1367 (2016).
Maywood, E. S., Chesham, J. E., O’Brien, J. A. & Hastings, M. H. A diversity of paracrine signals sustains molecular circadian cycling in suprachiasmatic nucleus circuits. Proc. Natl. Acad. Sci. USA 108, 14306–14311 (2011).
Evans, J. A. Collective timekeeping among cells of the master circadian clock. J. Endocrinol. 230, R27–R49 (2016).
Aton, S. J., Colwell, C. S., Harmar, A. J., Waschek, J. & Herzog, E. D. Vasoactive intestinal polypeptide mediates circadian rhythmicity and synchrony in mammalian clock neurons. Nat. Neurosci. 8, 476–483 (2005).
Ibata, Y., Tanaka, M., Ichitani, Y., Takahashi, Y. & Okamura, H. Neuronal interaction between VIP and vasopressin neurones in the rat suprachiasmatic nucleus. Neuroreport 4, 128–130 (1993).
Morin, L. P. & Allen, C. N. The circadian visual system, 2005. Brain Research Reviews 51, 1–60 (2006).
Francl, J. M., Kaur, G. & Glass, J. D. Regulation of vasoactive intestinal polypeptide release in the SCN circadian clock. Neuroreport 21, 1055–1059 (2010).
Mieda, M. et al. Cellular clocks in AVP neurons of the SCN are critical for interneuronal coupling regulating circadian behavior rhythm. Neuron 85, 1103–1116 (2015).
Yamaguchi, Y. et al. Mice genetically deficient in vasopressin V1a and V1b receptors are resistant to jet lag. Science 342, 85–90 (2013).
Acknowledgements
We thank Dr. H. Gainer (National Institutes of Health) for the generous donation of AVP antibody for immunohistochemistry, and the technical assistance of Ms. Y. Yamada, M. Nojima, and T. Nakatani. This work was supported in part by Grant-in-Aid for Scientific Research (B) (No. 15H0467906 to S.H.) from Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Scientific Research (A) (No. 20249010 to K.H.) from JSPS, Grant-in-Aid for Scientific Research (C) (No. 26460313 to T.Y.), Cooperative Research Project for Advanced Photonic Bioimaging from the ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT), Project for Creation of Innovation Centers for Advanced Interdisciplinary Research Areas Program from JSPS, Grant-in-Aid for Scientific Research on Priority Areas-Integrative Brain Research (No. 200119002) from MEXT, and a research grant from the Naito Foundation (to T.Y.).
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T.Y., S.H. and K.H. designed the research. T.Y., N.F.I, M.Y. and M.W. performed the experiments. S.T. and S.K. contributed new analytic tools. T.Y. and M.Y. analyzed the data. T.Y., S.H. and K.H. wrote the paper. All authors reviewed the manuscript.
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Yoshikawa, T., Inagaki, N.F., Takagi, S. et al. Localization of photoperiod responsive circadian oscillators in the mouse suprachiasmatic nucleus. Sci Rep 7, 8210 (2017). https://doi.org/10.1038/s41598-017-08186-5
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DOI: https://doi.org/10.1038/s41598-017-08186-5
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