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. 2019 May 9;9:7174. doi: 10.1038/s41598-019-43612-w

Mutant huntingtin disturbs circadian clock gene expression and sleep patterns in Drosophila

Anikó Faragó 1,2, Nóra Zsindely 1, László Bodai 1,✉
PMCID: PMC6509128  PMID: 31073199

Abstract

Deficiency of the sleep-wake cycle can accelerate the progression of Huntington’s disease (HD) and exacerbate symptoms making it a target of investigation to better understand the molecular pathology of the disorder. In this study we analyzed sleep defects in a Drosophila model of HD and investigated whether disturbed sleep coincides with alterations in the molecular mechanism controlling circadian rhythm. To analyze sleep defects we recorded the daily activity of flies in 12:12 hours light:dark entrainment and in regard to the underlying molecular mechanism measured circadian “clock” gene expression. In HD flies we observed reduced amount of sleep, sleep fragmentation and prolonged sleep latency. We found changes in gene expression patterns of both transcriptional feedback loops of circadian regulation. We detected prolonged expression of the core feedback loop components period and timeless, whilst the secondary feedback loop member vrille had lower expression rates in general. Our results show that the Drosophila HD model recapitulates most of the sleep related symptoms reported in patients therefore it can be a potential tool to study the molecular background of sleep defects in HD. Altered expression of circadian “clock” genes suggests that disturbed sleep pattern in HD might be the consequence of disturbed circadian regulation.

Subject terms: Gene regulation, Huntington's disease, Circadian regulation

Introduction

Circadian rhythm disruption and consequent sleep abnormality is a common feature of the most prevalent neurodegenerative diseases, such as Alzheimer’s disease and Parkinson’s disease, and recently it was also reported in Huntington’s disease1–3. HD patients have disturbed nocturnal sleep with prolonged sleep-onset latency, fragmented and irregular sleep stages and increased wakefulness4–7. Sleep disruption can lead to severe symptoms (depression, aggressivity, impaired memory and executive control)8, several of which are also present in HD9,10. Furthermore, sleep loss can accelerate the progression of the disease11, therefore understanding the defects of the underlying molecular mechanisms are essential.

HD is a late onset neurodegenerative disorder caused by abnormal expansion of a glutamine coding CAG repeat in the first exon of the Huntingtin (HTT) gene encoding the huntingtin protein12. Transcriptional dysregulation is one of the earliest pathological alterations in HD13,14. As circadian rhythm is regulated by transcriptional feedback loops15 it is feasible that the transcriptional defect in HD might affect the circadian clock as well.

In Drosophila circadian timekeeping is regulated by two interlocking feedback loops (core and secondary loop) that maintain the oscillating expression of “clock” genes in pacemaker neurons15. dCLOCK/CYCLE (dCLK/CYC) heterodimer regulates the transcription of period (per), timeless (tim), vrille (vri), Par domain protein 1 (Pdp1) and clockwork orange (cwo)16–18. As part of the core feedback loop DOUBLETIME/PER/TIM complex inhibits the activity of dCLK/CYC19 subsequently repressing their own transcription. In the secondary feedback loop CWO inhibits the activity of dCLK/CYC18, while VRI represses and PDP1 activates the expression of the dClk gene itself17. As a result of the feedback regulation the expression of per, tim, vri, Pdp1 and cwo is low at dawn and peaks at dusk, however, that of dClk is antiphase with high expression in the morning and low expression in the evening15. Defects of regular cycling of “clock” gene expression lead to disruption of the circadian rhythm20,21.

In this study we present a Drosophila model of HD displaying sleep defects similar to those described in patients. Furthermore, we demonstrate dysregulated expression of certain circadian “clock” genes in both feedback loops.

Materials and Methods

Drosophila melanogaster stocks and crosses

Stocks were maintained and crosses were done on standard Drosophila medium. To model HD we used flies that express human HTT exon 1 with 25 (HTTex1Q25, control) or 120 (HTTex1Q120, mutant) glutamines under the control of yeast Upstream Activating Sequence (UAS). w; UAS-HTTex1Q25 and w; UAS-HTTex1Q120 strains were donations of J. Lawrence Marsh (University of California Irvine, USA)22. w P{GawB}elavC155 (henceforth elavGAL4), y1 w*; P{w+mC = GAL4-per.BS}3 (henceforth perGAL4), and P{tubP-GAL80ts}7 (henceforth tubGAL80ts) lines were from the Bloomington Drosophila Stock Center. For activity recordings the expression of HTT transgenes was achieved by the elavGAL4; tubGAL80ts temperature sensitive pan-neuronal driver combination. Crosses of elavGAL4; tubGAL80ts females and UAS-HTTex1Q25 or UAS-HTTex1Q120 males were done at 18 °C, F1 males were transferred to 30 °C after eclosion to induce transgene expression. This expression system improves the validity of the disease model as it mimics the adult onset of HD. For gene expression analysis we used the perGAL4 driver at 25 °C that directs transgene expression in the pattern of the period gene.

Activity recording and analysis

elavGAL4/Y; UAS-HTTex1Q25/+; tubGAL80ts/+ and elavGAL4/Y; UAS-HTTex1Q120/+; tubGAL80ts/+ males that eclosed in a 24 hour time period were transferred to fresh vials and placed to 30 °C to induce HTT expression. Flies were synchronized and entrained by exposing them to 12:12 hours light (~250 lx):dark (LD) cycles for 7 days before performing the activity recordings with DAM2 Drosophila Activity Monitor (TriKinetics Inc, Waltham, MA, USA) that records the activity of 32 individual flies simultaneously. We recorded the daily activity of 8 days old HTTex1Q25 (n = 107) and HTTex1Q120 (n = 111) flies over a period of 24 hours starting from ZT0 (Zeitgeber Time: refers to time in hours during a light-dark cycle where ZT0 = lights on and ZT12 = lights off). elavGAL4/Y; UAS-HTTex1Q120/+; tubGAL80ts/+ males show circadian rhythm defects after 7 days, therefore 24 hours measurements started on day 8 from 8:00 in the morning until day 9 8:00 in the morning, just before flies start to die (Fig. 1A). Data were collected with DAMSystem3 for Windows and analyzed using pySolo analysis software23 and by Excel functions. All data are presented as mean ± standard error of mean (SEM). For statistical analysis all parameters were compared by Student’s t-test or one-way ANOVA with Tukey HSD post-hoc test.

Figure 1.

Figure 1

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Sleep pattern and daily activity is disturbed in HTTex1Q120 expressing flies. (A) Longevity analysis shows that the lifespan of elavGAL4/Y; UAS-HTTex1Q120/+; tubGAL80ts/+ (eG4;Q120;tG80) flies is reduced compared to elavGAL4/Y; UAS-HTTex1Q25/+; tubGAL80ts/+ (eG4;Q25;tG80) flies or driver only controls (eG4;tG80). Survival of HTTex1Q120 flies starts to rapidly decline on day 9, therefore activity measurements started on day 8 from 8:00 in the morning until day 9 8:00 in the morning (outlined area). (B) Daily locomotor activity of 8 days old flies was measured in 12:12 light:dark entrainment. Drosophila is mainly active at dawn (ZT0) and at dusk (ZT12), while less active in between. HD flies (Q120) show elevated activity both in light and dark compared to HTTex1Q25 expressing controls (Q25). (C) In parallel with increased motor activity HD flies spend less time asleep than controls (solid lines represent the averages, dotted lines show 95% confidence intervals). (D) In HD flies the number of total daily movement counts was increased. (E) However, there was no change in the activity index – total movement counts normalized to the time spent awake. (F) This is explained by the finding that the total amount of time HD flies spend asleep was decreased both daytime (yellow) and nighttime (blue). (G) The length of sleep episodes decreased during both daytime and nighttime, however, (H) the average number of sleep episodes increased only during daytime. (I) The onset of both daytime and nighttime resting periods was prolonged in HTTex1Q120 expressing flies. Activity was recorded with DAM2 Drosophila Activity Monitor over a period of 24 hours (ZT0 = lights on, ZT12 = lights off). Data are plotted as mean ± SEM (HTTex1Q25 n = 107, HTTex1Q120 n = 111). **P < 0.01, ***P < 0.001, Student’s t-test.

Gene expression analysis

Total RNA was isolated from heads of 14-day-old 12:12 hours LD entrained y w/Y; perGAL4/UAS-HTTex1Q25 and y w/Y; perGAL4/UAS-HTTex1Q120 males (at least 3 biological replicates per sampling time, 20 males per replicate) using Trizol Reagent (Invitrogen). RNA concentration and purity were determined by spectrophotometric measurement with NanoDrop® ND-1000 instrument. After DNaseI (Thermo Scientific) treatment cDNA was prepared from 400 ng total RNA using TaqManTM Reverse Transcription Reagents (Thermo Scientific) with random hexamer primers following the recommendations of the manufacturer. The resulting cDNA was diluted 1:5 and used for qPCR by the SYBR green method with Luminaris Color HiGreen qPCR Master Mix in a PikoReal Real-Time PCR System (Thermo Scientific). qPCR data were normalized first to Alpha-tubulin at 84B (CG1913) housekeeping gene, then to the corresponding ZT0 sample. For statistical analysis of expression values Two-Way ANOVA (TWA) with Tukey HSD post-hoc test was performed. Amplitude (maximum distance from the mean value) and acrophase (phase of the maximal value change assumed by the curve) was determined using the Cosinor application24, and statistically tested using Mann-Whitney U-test (MWU-test).

Results and Discussion

HD flies exhibit sleep defects

Drosophila is mainly active at dawn (lights on) and at dusk (lights off), while less active in between23. We recorded the daily activity of 8-day-old males expressing HTTex1Q120 (HD) or HTTex1Q25 (controls) in adult neurons (Fig. 1A,B). The daytime nap of males enables the analysis of two resting periods per day (Fig. 1C). HD flies displayed considerable hyperactivity compared to control (total daily movement counts 689 ± 28 versus 1003 ± 37 in HTTex1Q25 and HTTex1Q120, respectively, P = 1.3652 × 10−10) (Fig. 1B,D), while the amount of total daily sleep decreased (956 ± 14 versus 725 ± 18 minutes in HTTex1Q25 and HTTex1Q120, respectively, P = 1.1102 × 10−16) (Fig. 1C,F). Comparison of activity indexes - total activity normalized to the total time spent awake - showed no difference (Fig. 1E), meaning that the observed hyperactivity is the consequence of reduced sleep instead of increased motor activity. The decrease in time spent asleep is apparent during both resting periods (daytime sleep: 563 ± 7 versus 471 ± 11 minutes, P = 4.3059 × 10−11; nighttime sleep: 393 ± 13 versus 255 ± 15 minutes, P = 1.6046 × 10−11 in HTTex1Q25 and HTTex1Q120, respectively) (Fig. 1F).

By analyzing sleep episodes (SE) we found that in case of HD flies the length of daytime SE was shorter (60 ± 6 versus 29 ± 2 minutes in HTTex1Q25 and HTTex1Q120, respectively, P = 6.3321 × 10−5) while their number increased (12 ± 1 versus 21 ± 1 in HTTex1Q25 and HTTex1Q120, respectively, P = 1.1102 × 10−16) (Fig. 1G,H). The length of nighttime SE was also shorter (30 ± 2 versus 18 ± 1 minutes in HTTex1Q25 and HTTex1Q120, respectively, P = 9.9646 × 10−7), however, their number did not change significantly (15 ± 1 versus 14 ± 1 in HTTex1Q25 and HTTex1Q120, respectively) (Fig. 1G,H).

When studying the onset of resting periods we observed that sleep latency – time passing between lights ON/OFF and the start of the first sleep episode - is prolonged in HD flies (daytime latency: 47 ± 4 versus 67 ± 6 minutes, P = 7.3 × 10−4, nighttime latency: 81 ± 4 versus 101 ± 7 minutes, P = 3.8 × 10−3, in HTTex1Q25 and HTTex1Q120, respectively) (Fig. 1I). To exclude the possibility that phenotypic differences observed between flies expressing HTTex1Q25 or HTTex1Q120 are due to inherent differences of the two parental UAS strains we analyzed their circadian activity and sleep phenotypes and found no differences (Supplementary Fig. 1).

Thus, we found that the Drosophila model used in this study displays sleep defects characteristic for HD patients including increased daily activity as a consequence of reduced overall sleep, fragmented sleep and prolonged sleep-onset latency. Although sleep defects were reported in animal models of HD previously, none of these presented all the above described abnormalities together25–27. A mouse model showed disturbed night-day activity accompanied by disruption of circadian “clock” gene expression, however, mice are nocturnal thus their activity profile is different from that of humans25,28. The diurnal OVT73 sheep model displayed evening restlessness and nighttime sleep disturbances that mirror sleep defects of HD patients26. Nighttime sleep disruption was also observed in a Drosophila model previously. Neuronal expression of an N-terminal HttQ128 fragment from embryogenesis on resulted in reduced locomotor activity and increased daytime and decreased nighttime sleep. Circadian rhythm defects more similar to what we have found were observed in a full-length HttQ128 model: reduced nighttime sleep with more but shorter sleep episodes27. However, its molecular background was not investigated, urging us to determine whether disturbed sleep coincides with altered expression of circadian “clock” genes.

Circadian “clock“ gene expression is altered in HD flies

Understanding the underlying molecular background of sleep disruption in HD may lead to development of better treatment options and improved life quality. Defects in the normal cycling of “clock” gene expression cause the disruption of circadian rhythm20,21 suggesting that disturbed sleep-wake patterns observed in HD might be the consequence of inappropriate regulation of “clock” gene transcription.

We investigated whether mutant huntingtin alters the expression of circadian “clock” genes. We analyzed the expression pattern of dClk; per and tim core feedback loop genes; and vri, Pdp1 and cwo secondary feedback loop genes by quantitative RT-PCR. Gene expression patterns of the control were congruent with previous findings. The expression of per, tim, vri, Pdp1 and cwo was low at dawn (ZT0) and peaked at dusk (ZT12), while that of dClk was the highest in the morning and lowest in the evening (Fig. 2). In HD flies we observed a phase shift in the transcript levels of core feedback loop genes per and tim, as their acrophase was significantly delayed (P = 0.009 and P = 0.003, respectively) (Fig. 2A,B). Their expression levels were moderately lower between ZT8-16 than in control. However, at ZT20 when per and tim expression started to drop in the control it remained remarkably high in HD flies (P = 2.4 × 10−3 for per, whereas for tim the difference was not statistically significant). The expression level of dClk was higher (P = 0.042) with significant difference in amplitude (P = 0.0012) and its acrophase was delayed (P = 0.043) in HD flies compared to control, however differences at specific timepoints did not reach statistical significance (Fig. 2C). Among the secondary feedback loop genes vri showed significantly lower amplitude (P = 0.016) and expression between ZT8-16 in HD flies compared to control (ZT8: P = 1.1358 × 10−3; ZT12: P = 1.42 × 10−5; ZT16: P = 7.448 × 10−4) (Fig. 2D), while the expression pattern of Pdp1 and cwo did not change (Fig. 2E,F).

Figure 2.

Figure 2

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Circadian “clock” gene expression is impaired in flies expressing HTTex1Q120 under the control of perGAL4. Expression of per (A) and tim (B) was moderately decreased during ZT8-16, however, at ZT20 it remained elevated (per genotype/time interaction P = 6.45 × 10−4; tim genotype/time interaction P = 1.04 × 10−3, TWA). The phase of the maximal change in mRNA level compared to ZT0 (acrophase) was delayed in case of both per (P = 0.009, t-test) and tim (P = 0.003, MWU-test). dClk (C) transcript levels were elevated in HD flies (genotype/time interaction P = 0.042, TWA) with significant difference in amplitude (P = 0.0012, MWU-test) and its acrophase was delayed (P = 0.043, MWU-test). Expression of vri (D) was significantly lower between ZT8-16 in HTTex1Q120 expressing flies (genotype/time interaction P = 5.58 × 10−4, TWA), and the amplitude of its expression was also significantly lower (P = 0.016, MWU-test). Expression of Pdp1 (E) and cwo (F) did not change significantly (Pdp1 genotype/time interaction P = 0.925; cwo genotype/time interaction P = 0.512, TWA). mRNA levels are shown in fold change normalized to ZT0 sample. Data are plotted as mean ± SEM (n ≥ 3); **P < 0.01, ***P < 0.001, TWA with Tukey HSD test. In the data tables amplitude (fold change values) and acrophase (hours:minutes) are given as mean ± SEM. P columns show the results of MWU-test (*P < 0.05, **P < 0.01, ns: P > 0.05), significant differences are emphasized by orange background.

Thus, we found that the rhythm of circadian “clock” gene expression in heads of flies expressing mutant Huntingtin in the pattern of the period gene is distorted but does not disappear. As perGAL4 drives expression not only in neuronal clusters but also in glial cells and peripheral tissues29 the observed gene expression changes reflect the cumulative effects of mutant Huntingtin in these tissues. Importantly, we found altered expression patterns of components of both the core and secondary circadian feedback loops. The dCLK transcription factor, whose activity is primarily regulated on a post-translational level19 plays an essential role in the regulation of genes of both loops15. In HD flies the mRNA level of VRI, a negative regulator of dClk transcription, was lower between ZT8-16, suggesting that it may be responsible for the increased transcription of dClk. Prolonged expression of core feedback loop components per and tim might lead to extended presence of higher levels of PER and TIM proteins and consequent extended inactive state (enacted by the DOUBLETIME/PER/TIM complex) and delayed accumulation of active dCLK. Prolonged presence of phosphorylated, inactive dCLK might lead to suppression of its target genes. If the inactive state of dCLK is extended that might explain the observed lower expression level of vri, per and tim between ZT8-16. Furthermore, delayed accumulation of active dCLK could lead to the observed prolonged expression of per and tim.

The connections between the molecular circadian clock system and animal behavior are not clearly elucidated, therefore it is not evident how the observed “clock” gene expressional changes lead to the specific sleep defects observed in HD flies. Delayed acrophase of per and tim in HD flies correlates with delayed nighttime sleep (longer latency at ZT12), however, whether this is a direct or indirect effect is yet to be decided. Altered vri expression in HD flies might also affect the expression of circadian clock controlled output genes that might play a role in organism level sleep behavior. A large number of genes whose expression peaks at dawn were identified as potential transcriptional targets of secondary feedback loop components in microarray experiments30–33. Therefore, it is feasible that the observed sleep disturbances are the consequence of alterations in secondary loop regulated output gene expression, however, the real underlying molecular background is yet to be clarified.

We find it important that not all “clock” genes were dysregulated in HD flies, the transcription of cwo and Pdp1 secondary loop components did not change. This shows that the observed circadian clock defects are gene specific and are not a consequence of generic transcriptional dysregulation, suggesting that other transcriptional factors or cofactors beside dCLK might be also important in the regulation of these genes.

Conclusion

We present a Drosophila model of HD featuring most of the characteristic sleep-wake disturbance phenotypes observed in HD patients including reduced overall sleep, fragmented sleep and prolonged sleep-onset latency. By analyzing circadian “clock” gene expression patterns in the HD model we found significant differences in the expression levels of the core feedback loop genes per and tim, and the secondary feedback loop member vri. Our findings suggest that the observed sleep disturbances might be the consequence of disordered regulation of genes controlling circadian rhythm. Although the anatomical and physiological differences between insects and mammals set limitations to the use of circadian rhythm studies in Drosophila models of human disorders our results show that the Drosophila HD model can be suitable to analyze the role of circadian transcriptional regulatory circuits in mutant huntingtin induced circadian and sleep disturbances.

Supplementary information

Supplementary Figure S1 (333.4KB, pdf)

Acknowledgements

We thank the Bloomington Drosophila Stock Center and J. Lawrence Marsh for providing Drosophila stocks. This work was supported by OTKA 112294, GINOP-2.3.2-15-2016-00032 and GINOP-2.3.2-15-2016-00034 grants. The funding body had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Author Contributions

A.F. participated in study design, acquisition, analysis and interpretation of data and drafting the manuscript. N.Z. participated in study conception, interpretation of data and revising the manuscript. L.B. participated in study conception and design of experiments, statistical analysis and interpretation of data and revising the manuscript. All authors read and approved the final manuscript.

Data Availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Competing Interests

The authors declare no competing interests.

Footnotes

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary information accompanies this paper at 10.1038/s41598-019-43612-w.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Figure S1 (333.4KB, pdf)

Data Availability Statement

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

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