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ORIGINAL RESEARCH article

Front. Physiol., 08 June 2022
Sec. Chronobiology
This article is part of the Research Topic Circadian oscillators in the brain other than the SCN View all 7 articles

Characterization of Affective Behaviors and Motor Functions in Mice With a Striatal-Specific Deletion of Bmal1 and Per2

Konrad Schoettner
Konrad Schoettner1*Mariana AlonsoMariana Alonso1Margo ButtonMargo Button1Cassandra GoldfarbCassandra Goldfarb1Juliana HerreraJuliana Herrera1Nour QuteishatNour Quteishat1Christiane MeyerChristiane Meyer1Andreas BergdahlAndreas Bergdahl2Shimon Amir
Shimon Amir1*
  • 1Department of Psychology, Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada
  • 2Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, QC, Canada

The expression of circadian clock genes, either centrally or in the periphery, has been shown to play an integral role in the control of behavior. Brain region-specific downregulation of clock genes revealed behavioral phenotypes associated with neuropsychiatric disorders and neurodegenerative disease. The specific function of the clock genes as well as the underlying mechanisms that contribute to the observed phenotypes, however, are not yet fully understood. We assessed anxiety- and depressive-like behavior and motor functions in male and female mice with a conditional ablation of Bmal1 or Per2 from medium spiny neurons (MSNs) of the striatum as well as mice lacking one copy of Gpr88. Whereas the conditional knockout of Bmal1 and Per2 had mild effects on affective behaviors, a pronounced effect on motor functions was found in Bmal1 knockout mice. Subsequent investigation revealed an attenuated response of Bmal1 knockout mice to dopamine receptor type 1 agonist treatment, independently of the expression of targets of the dopamine signaling pathway or mitochondrial respiration in MSNs. The study thus suggests a potential interaction of Bmal1 within the direct dopamine signaling pathway, which may provide the link to a shared, MSN-dependent mechanism regulating affective behavior and motor function in mice.

Introduction

The circadian system in mammals comprises a multi-oscillator network of biological pacemakers to enable temporal coordination of biochemical, physiological, and behavioral processes relative to the 24-h environment. The role of the master circadian clock located in the suprachiasmatic nucleus (SCN) is primarily understood in conveying external time to clocks located in other brain areas and tissues, which utilize the SCN-derived time cues to control tissue-specific processes according to the respective time of day. The hierarchical system thus provides temporal integrity to the entire biological system in a daily changing environment to maintain systemic homeostasis required for its optimal function and performance (de Assis and Oster, 2021).

At the cellular level, daily oscillations are driven by the rhythmic expression of circadian clock genes. The circadian clockwork is established by an autoregulatory transcriptional-translational feedback loop (TTFL), a molecular mechanism that enables activating and inhibitory components of the clockwork for proper function. Protein dimers of the Brain and muscle arnt-like 1 (Bmal1) and Circadian locomotor output cycles kaput (Clock) genes form the positive arm of the loop by activating transcription of Period (Per) and Cryptochrome (Cry) genes. By their inhibitory interaction with BMAL1/CLOCK, dimerized PER/CRY proteins repress their own transcription, thus forming the negative arm of the loop that repeats every 24 h (Takahashi, 2017). Rhythmic output of the clock is generated by the expression of so-called clock-controlled genes (CCGs) which are involved in the regulation of vital cellular functions like metabolism and cell signaling (Bozek et al., 2009).

Studies have also demonstrated that circadian clock genes play an integral role in the regulation of behavior. Various brain regions, such as the striatum, have been targeted over the past years to elaborate the molecular and neurophysiological mechanism driving the temporal coordination and execution of behaviors related to mood, reward and motor control (Landgraf et al., 2016b; Ozburn et al., 2017; Porcu et al., 2020). The striatum is critically involved in mediating cortical and thalamic input of the basal ganglia, a major network controlling motor, limbic, and associative functions. Two major subregions of the striatum, the caudate putamen (CP) and the nucleus accumbens (NAc), receive dense dopaminergic projections from the substantia nigra (SN) and the ventral tegmental area (VTA), respectively, which is believed to be a key feature in basal ganglia function. Although all GABAergic medium spiny neurons (MSNs), the principal neurons of the striatum, are inhibitory, they can be divided into two distinct subpopulations based on anatomical projections as well as neurochemical and functional properties (Gerfen and Surmeier, 2011). Dopamine receptor type 1 (DRD1) MSNs project directly to the output nuclei and are associated with stimulatory or “go” actions, whereas dopamine receptor type 2 (DRD2) MSNs project indirectly to the striatal output nuclei and are associated with inhibitory “no-go” actions. Even though this classical separation of the two pathways in their distinct roles has been challenged over the past years (Coffey et al., 2017), it has been generally accepted that the direct and indirect pathways provide antagonistic feedback to their output targets.

Dysfunction of striatal dopamine signaling has been linked to the pathophysiology of neurological and psychiatric disorders and circadian clock gene expression appears to play a pivotal role in this context. Besides the rhythmic expression of circadian clock genes and proteins (Feillet et al., 2006; Landgraf et al., 2016b) and daily oscillations of dopamine levels in the striatum (Hood et al., 2010), it has been shown that dopamine signaling, and circadian clock gene expression mutually influence each other. Application of a DRD1 agonist in cultured MSNs evoked stimulatory responses on clock gene expression, whereas treatment with a DRD2 agonist had an inhibitory effect (Imbesi et al., 2009). Interestingly, extracellular dopamine induces the expression of PER2 via the DRD2 pathway, suggesting a crucial function of dopamine in the striatal circadian clockwork (Hood et al., 2010). Vice versa, studies have demonstrated that parts of the dopamine signaling pathway in the striatum are clock-controlled (Ikeda et al., 2013).

Given the comorbidity of circadian rhythm disruption and neuropsychiatric conditions like depression, anxiety, substance abuse, and neurodegenerative disease (Ketchesin et al., 2020), it is tempting to speculate that a disruption of the striatal circadian clock may play a causal role, potentially by its interaction with components of the dopamine signaling pathway (Kim et al., 2017). We tested this hypothesis by assessing behaviors associated with anxiety, depression, and motor function, as well as molecular and physiological properties of MSNs in mice with a selective knockout of Bmal1 and Per2 from striatal MSNs.

Materials and Methods

Ethics Statement

All experimental protocols and procedures were approved by the Canadian Council on Animal Care and the Concordia University Animal Care Committee (certificate number: 30000256).

Animals

The conditional ablation of Bmal1 and Per2 in striatal MSNs was achieved as described before (de Zavalia et al., 2021). In brief, mice carrying homozygous floxed alleles of the Bmal1 (Bmal1fl/fl; B6.129S4(Cg)-Arntltm1Weit/J; stock #: 7668, The Jackson Laboratory) (Storch et al., 2007) or Per2 locus (Per2fl/fl; B6.129-Per2tm1.2Ual/Biat, strain ID: EM10599, European Mouse Mutant Archive) (Chavan et al., 2016) were crossed with mice expressing Cre recombinase and enhanced green fluorescence protein (EGFP) under control of the Gpr88 promoter (Gpr88cre/+; B6.129S4-Gpr88tm1.1(cre/GFP)Rpa/J; stock #: 22,510, The Jackson Laboratory) (Beutler et al., 2011). Gpr88 is an orphan G protein-coupled receptor (GPCR) which is almost exclusively expressed in striatal MSNs (Massart et al., 2009; Quintana et al., 2012). Therefore, the conditional clock gene knockout is restricted to this population of neurons only. Male mice of the F1 generation (Gpr88cre/+; Bmal1fl/+, Gpr88cre/+; Per2fl/+) were crossed with Bmal1fl/fl and Per2fl/fl females a second time, respectively, to generate a conditional knockout of Bmal1 (Bmal1 cKO) or Per2 (Per2 cKO) and corresponding littermate controls (Bmal1 CTRL, Per2 CTRL). Because of recombination events at the Bmal1 and Per2 locus caused by Cre during germ cell development, the resulting experimental and control animals had only one functional copy of the respective target gene genome-wide. The genotypes were as following: Bmal1 conditional knockout (cKO, Gpr88cre/+; Bmal1-/fl), Bmal1 controls (CTRL, Gpr88+/+; Bmal1-/fl), Per2 cKO (Gpr88cre/+; Per2-/fl), Per2 CTRL (Gpr88+/+; Per2-/fl). To rule out that behavioral and physiological alterations in Bmal1 and Per2 cKO animals were a result of a Gpr88 haploinsufficiency, male and female Gpr88cre/+ and Gpr88+/+ controls were assessed as well.

The Bmal1, Per2 and Gpr88 transgenic mouse lines were backcrossed for at least six generations onto a C57BL/6J background. DNA for genotyping was obtained from tail biopsies and analyzed using a standard PCR-based protocol (M0484L, New England Biolabs Inc., Ipswich, MA, United States) with the following primers: Gpr88: F 5′-AAG​AAC​CTG​ATG​GAC​ATG​TT-3′ and R 5′-CCA​CCG​TCA​GTA​CGT​GAG​AT-3′ resulting in a 500 bp product in mutant mice; Bmal1: F1 5′-ACT​GGA​AGT​AAC​TTT​ATC​AAA​CTG-3′, F2 5′-CTC​CTA​ACT​TGG​TTT​TTG​TCT​GT-3′, R 5′-CTG​ACC​AAC​TTG​CTA​ACA​ATT​A-3′ resulting in products of 327 bp for wild type, 431 bp product for floxed and a ∼580 bp product for Bmal1-ablated alleles; Per2: F 5′-AGC​TGG​CAA​AGG​TCA​CTC-3′, R 5′- GCA​GGG​CAG​TTT​CAT​CAA​GG-3′ resulting in products of 1,013 bp for floxed, 721 for wild type and 450 bp for Per2 knockout alleles.

Animals were group-housed (two to four animals per cage) and kept under a 12:12 h light-dark (LD) cycle, with food and water available ad libitum unless stated otherwise. Room temperature and relative humidity varied around 22 ± 2°C and 65 ± 5%, respectively. The bedding of the cages was changed every week.

Behavioral Procedures

Naïve, 12–16 weeks old animals were exposed to a series of behavioral tests to assess anxiety- and depressive-like behaviors and motor functions. The order of the procedures was fixed, starting with the elevated plus maze test (EPM) followed by the open field test (OFT), marble burying test (MBT), horizontal bar test (HBT), fixed speed rotarod (FSRR), tail suspension test (TST) and dopamine receptor agonist administration. The interval between experiments was at least 1 week. Experiments were carried out in a separate experimental room. The room was moderately lit during the light phase (500 lux), whereas procedures were conducted under dim red light (∼2 lux) during the dark phase. Before each test, animals were habituated to the test room for 1 h.

Elevated Plus-Maze Test

Anxiety-related behavior was assessed in an elevated plus-maze test. The cross-shaped maze (Panlab, Barcelona, Spain) was elevated 40 cm above the floor and consisted of two open and closed arms (6 cm × 29.5 cm each) and a central area (6 cm × 6 cm). The maze was equipped with white floors and black walls (15 cm in height) in the closed arm made of Methacrylate. Animals were randomly assigned into two groups and tested either between Zeitgeber Time (ZT) 2–6 (ZT0 represents the time of light onset) or ZT14–18.

Animals were gently transferred into the central area of the maze facing the closed arm and video-recorded for 5 min using a Samsung Galaxy A5 2017 phone. The recording device was mounted right above the center of the EPM. Animals were weighed and transferred back to their home cage after the test was completed. The EPM was thoroughly wiped with 70% ethanol solution after each trial.

Videos files were converted into 1-s image sequences using VirtualDub1.10.4 and further compiled to multi-Tiff files using FIJI (Schindelin et al., 2012). Multi-Tiff files were analyzed by the ImageEP (Ver. 1,201,112) plugin in FIJI (Komada et al., 2008) to determine distance travelled, time spent in the open arms of the EPM, as well as the number of entries into the open arms.

Open Field Test

The open field test has been conducted to assess anxiety-related behavior and motor activity using an automated tracking system (Panlab, Barcelona, Spain). The same groups of mice as described for the EPM were tested at ZT2–6 or ZT14–18. The system was composed of two frames equipped with infrared beams for subject detection in a Plexiglas arena (44 cm × 44 cm × 30 cm). Mice were gently introduced into the corner of the open field facing the wall and spontaneous horizontal and vertical activity was recorded for each animal individually over a 60 min period by the Actitrack software (Panlab, Barcelona, Spain). At the end of the session, animals were weighed and returned to their home cages. The arena was wiped with 70% ethanol to remove any residues and olfactory cues thereafter.

The Actitrack software was also used to analyze the tracking data. Total distance travelled, permanence time in the central area of the open field, and rearing behavior was assessed.

Marble Burying Test

The marble burying test has been used to study repetitive and anxiety-related behavior. Standard plastic cages (43 cm × 21 cm × 21 cm) were filled with standard bedding (5 cm) and 20 multi-colored glass marbles (16 mm diameter, Editions Gladius International, Quebec, QC, Canada) were laid out equidistantly in a 5 × 4 grid. Mice were gently transferred into a corner of the cage at ZT2 and left in the cage for 30 min. Mice were weighed and transferred back to their home cages at the end of the test, and the number of buried marbles was counted thereafter. A marble was considered buried when 2/3 of its surface was covered in the bedding, and the total number of buried marbles was used to calculate the percentage of buried marbles for each subject.

Horizontal bar Test

Motor coordination was assessed in a horizontal bar test between ZT6–8. A metal bar (ø 2.5 and 5 mm) was mounted between two opposite sides of a squared cardboard box (41 cm × 41 cm × 41 cm), and the bottom of the box was covered with a soft pad to cushion animals falling from the bar.

During the first stage of the experiment, mice were gently held by the tail and lifted towards the horizontal bar (ø 2.5 mm) where they had to grasp the bar at the central point with the forepaws before being released. The criterion within a 60 s trial period was either reaching one end of the bar or falling from the bar before reaching the end of it. The test was repeated three times with 30 s resting periods between each trial. Stage two of the HBT followed the same experimental design immediately after the first stage, except that the thicker bar (ø 5 mm) was used.

Each trial was video recorded for later analysis. A score was calculated for each trial based on the mice’s performance. For reaching the end of the bar, the score was calculated by subtracting the time reaching the end of the bar from 120 (score pass = 120–time pass). The score for falling represented the same time it took the mice to fall from the bar (score fall = time fall). If a mouse was staying on the bar during the entire trial period without reaching the end, a score of 60 was given (score stay = 60). A cumulative score from the averages of the three trials of each experimental stage was calculated.

Rotarod

A custom-made, fixed-speed rotarod (FSRR) was used to further assess motor coordination in experimental and control mice of both sexes between ZT6–8. In brief, the rotarod was composed of a rod (ø 5 cm) mounted 19.5 cm above the base of the device. The base was separated into 6 individual compartments equipped with a soft foam pad to cushion mice falling off the rod. To prevent mice from leaving the rod, two flanges (ø 20 cm) separated a 9.3 cm interspace on the rod. The rod was driven by an electric motor, and a gearbox was used to set the desired speed.

On the day of the experiment, animals underwent a training session on the rotarod between ZT2–4 to familiarize themselves with the apparatus. For this, animals were gently grabbed by their tail and carefully placed on the rod turning at 2 rpm for 5 min. Animals falling from the rod were always put back on the rod throughout the entire training period. After the training, animals were transferred back to their home cages. Mice underwent testing between ZT6–8 the same day. While being video-recorded, animals were positioned on the turning rod as described above and left on the rod for a 1-min trial period, except that they were not put back on the rod when falling from it within the trial. If a mouse fell off the rod due to poor placement by the experimenter, the trial was not counted and repeated after a short resting time. Mice were gently transferred into the compartment at the base of the Rotarod at the end of each trial and left for a 30 s resting period. Each trial was repeated two more times before the rod was set to a higher speed. The starting speed was 2 rounds per minute (rpm), which was gradually increased to 4, 8 and 12 rpm. If animals failed to stay on the rod for the 1-min period at all 3 trials, they were not further tested at higher speeds.

The time staying on the rod was measured using a stopwatch. The average time on the rod calculated from the three replicates of each speed level was calculated and summed up for a final score.

Tail Suspension Test

Depressive-like behavior was evaluated in the tail suspension test at ZT8. Animals were suspended by their tails above the ground for 6 min while being video recorded. Climbstoppers were placed over the tail to prevent mice from tail climbing (Can et al., 2012). After the test, animals were weighed and returned to their home cages. Two experienced researchers blinded to the animals’ genotypes analyzed the video recordings using an on-screen stopwatch (Stopwatch+, Center for Behavioral Neuroscience, Atlanta, GA, United States). The total amount of mobility time, defined as any movement of the body, was scored. Immobility time was calculated by subtracting mobility time from the total duration of the experiment.

Dopamine Receptor Agonist Administration

The effect of systemic dopamine receptor agonist administration on locomotor behavior was assessed in male and female Bmal1 and CTRL mice, as well as male and female Gpr88cre/+ and Gpr88+/+ animals. For this, animals were randomly assigned into two groups (saline control group vs. dopamine receptor agonist-treated group) and baseline locomotor activity levels were recorded in the open field (Panlab, Barcelona, Spain) for 30 min at ZT2. Immediately after baseline activity recording, animals received intraperitoneal injections (10 ml/kg body weight) of saline or the DRD1 agonist SKF-81297 (5 mg/kg body weight, Cayman Chemical, Ann Arbor, MI, United States) and locomotor activity was recorded for another 60 min in the open field. The procedure was repeated after 6–10 weeks, but DRD2 agonist quinpirole (1 mg/kg body weight, Sigma-Aldrich, St. Louis, MO, United States) was administered instead.

The total distance travelled within the 60 min post-injection period was analyzed relative to baseline activity.

Mitochondrial Respiration

A sequential substrate addition protocol was conducted to assess mitochondrial coupled and uncoupled oxygen consumption, leak and membrane integrity, using a polarographic sensor (Oxygraph-2k, Oroboros Instruments, Innsbruck, Austria). The measurements of oxygen consumption were performed in MiR05 at 37°C. MiR05 contains (in mM) EGTA 0.5, MgCl2·6H2O 3.0, K-lactobionate 60, taurine 20, KH2PO4 10, HEPES 20, sucrose 110, BSA 1 g/L, and pH 7.1. The oxygen flux was registered and analyzed by the DatLab 7.0 software.

Between 2 and 3 mg (wet weight) of fresh striatal tissue punches were collected at ZT2 and ZT6 from male and female Bmal1 cKO and CTRL animals as well as Gpr88cre/+ and Gpr88+/+ mice (20–27 weeks old). The tissue was placed in the Oxygraph after which oxygen levels were increased to approximately 480 pmol. 50 μg/ml of Saponin was then added to the chambers to permeabilize the tissue before the actual experiment started.

In the protocol, non-phosphorylating LEAK-respiration was induced by adding the complex I (CI)-linked substrates malate (2 mM), pyruvate (5 mM), and glutamate (5 mM). Subsequently, oxidative phosphorylation (OXPHOS) capacity of CI-linked activity was measured after addition of a saturating concentration of ADP (5 mM). Next, Cytochrome c (10 μM) was added to assess for mitochondrial membrane damage. OXPHOS-capacity with combined CI and II-linked substrates was assessed by addition of succinate (10 mM). This was followed by FCCP [carbonylcyanide-4-(trifluoromethoxy)phenylhydrazone, 1 μM] to test uncoupling and then Antimycin A (2.5 μM) which was used for blocking complex II (CIII) to investigate non-mitochondrial oxygen consumption.

The degree of coupling between oxidation and phosphorylation expressed as respiratory acceptor control ratio (ACR) was calculated by the rate of oxygen consumption while ADP is being phosphorylated divided by the rate of non-phosphorylating LEAK-respiration induced by glutamate administration.

Gene Expression

Gene expression was measured in tissue punches collected from the caudate putamen (CP) at ZT2, 8, 14 and 20. Brains from decapitated Bmal1 cKO and CTRL male and female mice (18–25 weeks old) were flash-frozen after extraction and stored at −80°C until further processing. 100–150 μm thick coronal sections were obtained from a cryostat (Microm HM 505 E, Microm International GmbH, Walldorf, Germany), and tissue punches of the CP (1.5 mm in diameter) were collected from each hemisphere in accordance with the mouse brain atlas (Paxinos and Franklin, 2004).

A standard Trizol extraction protocol was used for total RNA isolation according to the manufacturer’s instructions (Invitrogen™, Life Technologies Corporation, Carlsbad, CA, United States). Total RNA yield was measured using spectrophotometry (Nanodrop 2000; Thermo Scientific™, Wilmington, DE, United States), and RNA integrity was assessed by the “bleach gel” method (Aranda et al., 2012). cDNA was synthesized from 1 μg of RNA using the iScriptTM Reverse Transcription Supermix following the manufacturer’s instructions (Biorad, Hercules, CA, United States). Besides the standard cDNA samples, a no reverse transcriptase (no-RT) control was prepared.

SYBR green-based quantitative real-time PCR was used to analyze gene expression. Triplicates of 10 μL reactions containing SsoAdvanced Universal SYBR® Green Supermix (Biorad, Hercules, CA, United States) and 300 μM of the respective forward and reverse primers were amplified using a CFX96TM Real-Time PCR system (Biorad, Hercules, CA, United States). The list of forward and reverse primers is provided in Table 1.

TABLE 1
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TABLE 1. Primer list for quantitative real-time PCR.

The CFX Maestro qPCR Software (Biorad, Hercules, CA, United States) and Microsoft Excel were used to calculate relative normalized changes in gene expression by the delta-delta Ct (∆∆Ct) method (Pfaffl, 2001). For this, expression levels of target genes relative to two reference genes were further normalized CTRL males at ZT2.

Data Analysis and Statistics

Data from each behavioral test, mitochondrial respiration measurements as well as gene expression analysis were further processed and analyzed using Prism 9 (GraphPad Software, San Diego, CA, United States). Results were depicted as mean ± standard error of the mean (SEM). Behavioral tests conducted at two different time points were analyzed using a three-way analysis of variance (ANOVA, genotype, sex, time point effect) followed by Šídák’s multiple comparisons if statistically significant main effects were found. Behavioral tests conducted at one time point were analyzed by a two-way ANOVA (genotype and sex effect) followed by Tukey’s multiple comparisons. Interval data of locomotor activity recorded in the open field were analyzed using a three-way repeated-measures ANOVA (genotype, treatment, and interval effect) followed by Bonferroni’s multiple comparisons test. Measurements of mitochondrial respiration in mice of the Bmal1 line were analyzed using a three-way ANOVA (treatment, genotype, and time point effect) followed by Šídák’s multiple comparisons, whereas data from the Gpr88 line were analyzed using a two-way ANOVA, which was subsequently compared by a by Šídák’s multiple comparisons if significant main effects were found. A t-test was conducted for between-group comparisons of the ACR. A three-way ANOVA (genotype, sex, and time point effect) followed by Tukey’s multiple comparisons was used to assess results from the gene expression analysis. A cosine analysis and subsequent zero-amplitude test, which is based on F-statistics, were conducted to further assess the significance of daily oscillations in gene expression (Cornelissen, 2014). The level of significance was set at p ≤ 0.05.

Results

Anxiety- and Depressive-Like Behavior

The conditional ablation of Bmal1 or Per2 from striatal MSNs affected anxiety-related behaviors differently. Details of the statistical analysis are depicted in Table 2. Mice with a conditional knockout of Bmal1 spent more time in the open arm of the elevated plus-maze compared to controls (Figure 1A). The results were supported by a higher number of open arm entries of cKO mice (Supplementary Figure 1B), whereas general levels of activity in the EPM were not affected by genotype (Supplementary Figure 1A). Subsequent assessment of mice in the open field test further emphasized the impact of a conditional knockout of Bmal1 on anxiety-related behaviors, with opposite effects as observed in the EPM test. Bmal1 cKO animals spent less time in the central area of the open field compared to CTRL mice (Figure 1B). In contrast, no effect of the striatal-specific Bmal1 deletion was observed in the marble-burying task (Figure 2A).

TABLE 2
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TABLE 2. Statistical analysis of affective behaviours and motor function.

FIGURE 1
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FIGURE 1. Anxiety-like behavior in mice with a striatal-specific clock gene knockout. Time spent in the open arm of the elevated plus-maze and time spent in the center of an open field was investigated during the light (ZT2–6, light grey bar) and the dark period (ZT 14–18, dark grey bar). Mice with a conditional Bmal1 knockout (n = 6–13 per genotype, sex, and time point) displayed decreased anxiety-like behavior in the elevated plus-maze compared to controls (A), whereas increased anxiety-like behavior was observed in the open field test (B). The conditional knockout of Per2 (n = 3–8 per genotype, sex, and time point) did not affect anxiety-like behavior in the elevated plus-maze and open field (C,D). Results are depicted as mean ± standard error of the mean (S.E.M.). # … p ≤ 0.05, ## … p ≤ 0.05, ### … p ≤ 0.05, three-way ANOVA. *** … p ≤ 0.0005, Šídák’s multiple comparisons test. Details of the statistical analysis are shown in Table 2.

FIGURE 2
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FIGURE 2. Anxiety- and depressive-like behavior in mice with a conditional Bmal1 or Per2 knockout and control animals. No genotype effects on the number of buried marbles were found in male and female mice of the two mouse lines (n = 3–13 per genotype, sex, and mouse line) (A,B). Depressive-like behavior indicated by immobility time in the tail suspension test is decreased in mice with a striatal Bmal1 knockout (n = 8–13 per genotype and sex) (C) but unaffected in mice with a conditional ablation of Per2 (n = 6–11 per genotype and sex) from striatal MSNs (D). Results are depicted as mean ± standard error of the mean (S.E.M.). # … p ≤ 0.05, three-way ANOVA. Details of the statistical analysis are shown in Table 2.

Whereas a striatal-specific knockout of Per2 did not affect the time spent in the open arm of the elevated plus-maze, the number of open arm entries was reduced in Per2-cKO mice (Figure 1C, Supplementary Figure 1F). However, the level of activity displayed in the EPM was similar between knockout animals and controls (Supplementary Figure 1E). Further assessment of anxiety-like behavior in the open-field and marble-burying test revealed no effect of the conditional Per2 knockout (Figures 1D, 2B).

Depressive-like behavior was affected by the conditional knockout of Bmal1 but not Per2. A two-way ANOVA revealed a significant effect of genotype (Figure 2C), indicating that Bmal1 cKO mice displayed lower immobility time while being suspended on the bar in the tail suspension test. Immobility time was not different between Per2-cKO and CTRL mice (Figure 2D).

Importantly, the loss of one copy of Gpr88 did not affect anxiety- or depressive-like behaviors displayed in the elevated plus-maze test (Supplementary Figures 2A,C), open field test (Supplementary Figure 2D), marble-burying test (Supplementary Figure 3A) or tail suspension test (Supplementary Figure 3B) (Table 2). Time of day, however, was a determining factor on behavior displayed in the elevated plus-maze and open field in mice of the Gpr88 strain. The results indicate diurnal differences in anxiety-like behavior displayed in the elevated-plus maze and open field, but with opposite direction depending on the test. Diurnal differences were present in some of the behaviors displayed in the elevated plus-maze and open field in mice of the Bmal1 and Per2 line as well, but less pronounced compared to mice of the Gpr88 line. However, the results of the statistical analysis do not demonstrate that the effect is due to the conditional knockout of Bmal1 or Per2 because significant interactions between genotype and time point were not found (Table 2).

Motor Function and Coordination

Mice with a conditional knockout of Bmal1 and Per2 showed increased levels of locomotor activity in the open field compared to CTRL animals. Genotype effects were found for both, total distance travelled and rearing activity in animals of the Bmal1 line (Supplementary Figures 1C,D), whereas total distance travelled but not rearing activity was increased in Per2 cKO mice (Supplementary Figures 1G,H) (Table 2).

Also, mice of the Gpr88(cre/+) genotype displayed increased levels of locomotor activity in the open field compared to their Gpr88(+/+) counterparts and had higher levels of rearing activity (Supplementary Figures 2E,F).

Besides genotype, the time point of testing and sex were factors affecting activity levels in the open field. In mice of the Bmal1 line, spikes in total distance travelled varied depending on sex and time of day (Supplementary Figure 1C). Also, rearing activity was more pronounced during the dark period (Supplementary Figure 1D). Horizontal and vertical activity was not affected by time of testing and sex in mice of the Per2 line. Animals of the Gpr88 line displayed a higher level of locomotion in the open field during the dark phase. A time point effect was found in both, total distance travelled and rearing activity (Table 2).

Motor coordination was assessed in the horizontal bar and rotarod test in males and females of all three mouse lines. Whereas a conditional ablation of Per2 or the deletion of on copy of Gpr88 from striatal MSNs did not affect the performance on the horizontal bar test, a genotype effect was revealed in animals of the Bmal1 line, indicating a poorer performance in Bmal1 cKO animals (Figure 3A). Deficits in motor coordination in Bmal1 cKO mice were furthermore confirmed in the rotarod test (Figure 3C), whereas no difference was found in mice of the Per2 and Gpr88 lines. Details of the statistical analysis are depicted in Table 2.

FIGURE 3
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FIGURE 3. Motor functions in mice with a conditional Bmal1 or Per2 knockout and controls. Mice with a striatal-specific Bmal1 knockout (n = 9–13 per genotype and sex) performed worse in the horizontal bar test compared to controls (A), whereas no differences were found in mice with a knockout of Per2 (n = 6–11 per genotype and sex) (B) from striatal MSNs. Likewise, Bmal1 knockout mice (n = 8–13 per genotype and sex) (C) had deficits in motor coordination assessed in the rotarod in contrast to mice with a conditional ablation of Per2 (n = 6–11 per genotype and sex) (D) from striatal MSNs. Results are depicted as mean ± standard error of the mean (S.E.M.). # … p ≤ 0.05, ### … p ≤ 0.0005, three-way ANOVA. * … p ≤ 0.05, Tukey’s multiple comparisons test. Details of the statistical analysis are shown in Table 2.

Response to Dopamine Receptor Agonist Administration

Administration of dopamine receptor agonists evoked different responses depending on the type of agonist and genotype. Although locomotor activity was induced by DRD1 receptor agonist injections in Bmal1 cKO and CTRL males compared to saline controls, the effect of the treatment appeared to be delayed in cKO animals when compared to CTRL mice. In females, a significant main effect of genotype but no treatment effect was found. Nevertheless, the results indicate a stronger response of CTRL mice to SKF treatment compared to cKO animals (Figure 4A).

FIGURE 4
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FIGURE 4. Locomotor response to DRD1 and DRD2 agonist administration in mice with a conditional Bmal1 knockout. Changes in activity relative to baseline levels are depicted in 10-min intervals. Males and females with a conditional knockout of Bmal1 (n = t3–5 per sex and treatment) displayed an attenuated response to SKF-81297 compared to controls (n = 4–7 per sex and treatment) (A). Activity was inhibited in males and females with a conditional knockout of Bmal1 (n = 3–4 per sex and treatment) and controls (n = 4–8 per sex and treatment) following Quinpirole administration compared to saline injections (B). Results are depicted as mean ± standard error of the mean (S.E.M.). Only genotype and treatment main effects are displayed in the graph. # … p ≤ 0.05, ### … p ≤ 0.0005, three-way ANOVA. Letters indicate levels of statistical difference between genotype and treatment post-hoc comparison: a … treatment effect CTRL group, b … treatment effect cKO group, c … genotype effect for SKF or Quinpirole treatment; one letter … p ≤ 0.05, two letters … p ≤ 0.005, three letters … p ≤ 0.0005, Tukey’s multiple comparisons test. Details of the statistical analysis are displayed in Table 3.

In males of the Gpr88 line, a similar trend was observed compared to the findings in males of the Bmal1 line. Both, Gpr88(cre/+) and Gpr88(+/+) animals displayed increased activity following the SKF injection compared to saline controls, which appeared to be delayed in Gpr88(cre/+) animals (Supplementary Figure 4A). Females of the Gpr88 line displayed a similar response to males. Whereas the treatment affected locomotion significantly, no genotype effect was found.

In contrast, administration of the DRD2 agonist Quinpirole had inhibitory effects on locomotor activity in male and female individuals of both mouse lines. Bmal1 cKO and CTRL males displayed significantly reduced locomotion following the administration of Quinpirole compared to saline control animals. Females showed a similar response, however, the effect seemed to be less pronounced compared to males (Figure 4B). Moreover, activity levels in cKO females tend to be higher compared to CTRL animals irrespective of the treatment.

Gpr88(cre/+) and Gpr88(+/+) male and female mice displayed reduced locomotor activity following quinpirole administration when compared to saline controls (Supplementary Figure 4B), independently of genotype. Details of statistical analysis are shown in Table 3.

TABLE 3
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TABLE 3. Statistical analysis of dopamine receptor agonist treatment and mitochondrial respiration.

Striatal Mitochondrial Respiration

High-resolution respirometry in striatal tissue revealed a substantial change in oxygen consumption following a sequential substrate addition to assess complex I respiration, mitochondrial membrane damage, the capacity of oxidative phosphorylation and mitochondrial uncoupling in males and females of the Bmal1 line. Mitochondrial respiration, however, was unaffected by the conditional knockout of Bmal1 from striatal MSNs or the time point of measurement (Figures 5A,B). A treatment effect was also found in males and females of the Gpr88 line irrespective of the genotype (Supplementary Figures 5A,B). Details of the statistical test are shown in Table 3.

FIGURE 5
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FIGURE 5. Striatal mitochondrial respiration in mice with a conditional knockout of Bmal1 and control animals. Sequential substrate addition to assess mitochondrial coupled and uncoupled oxygen consumption, as well as leak and membrane integrity, revealed no differences between male and female mice with a conditional Bmal1 knockout and controls (n = 4–6 per genotype, sex, and time point) (A,B). Likewise, the degree of coupling between oxidation and phosphorylation did not differ between genotypes within the Bmal1 mouse line (C). Results are depicted as mean ± standard error of the mean (S.E.M.). Details of the statistical analysis are displayed in Table 3.

Comparison of the degree of coupling between oxidation and phosphorylation as an indirect assessment of mitochondrial efficiency between Bmal1 cKO and CTRL males and females did not reveal differences between genotypes or time of testing (Figure 5C). Similarly, no differences were observed between Gpr88(cre/+) and Gpr88(+/+) males or females (Supplementary Figure 5C), even though the ACR was considerably lower in animals of the Gpr88 line compared to mice of the Bmal1 line (males gene effect: F1, 12 = 5.058, p < 0.05; females gene effect: F1, 10 = 19.34, p < 0.05, two-way ANOVA).

Gene Expression

Visual inspection of expression profiles of clock and clock-controlled genes in male and female Bmal1 CTRL animals indicates a relatively robust daily oscillation in most of those targets except for Cry1 (Figure 6 left panel). Statistical analysis partially supported this view. A significant effect of the time of tissue collection on gene expression was found for all clock- and clock-controlled genes (Table 4), however, the zero-amplitude test following cosinor analysis failed to detect significant rhythmicity in most targets. The conditional ablation of Bmal1 from MSNs, on the other hand, affected the expression of clock- and clock-controlled genes significantly (Table 4). Expression of mRNA at the Exon8 locus of the Bmal1 gene was almost completely abolished, confirming the conditional knockout of Bmal1. CTRL animals, in contrast, display a robust oscillation of Bmal1 mRNA expression at Exon8. Amongst the other clock genes, no difference between cKO and CTRL male and female individuals was found for Per2. Expression peaked at ZT14 in both sexes, and the peak appeared to be more pronounced in cKO males compared to CTRL animals. Cry1 expression, on the other hand, appeared to be constitutively expressed in mice of both genotypes and sex, but upregulated in cKO individuals. The comparative analysis of Dbp expression in cKO and CTRL animals suggests that Bmal1 is required for proper clock function, demonstrated by blunted Dbp expression in cKO mice.

FIGURE 6
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FIGURE 6. Gene expression analysis of striatal tissue collected from mice with a conditional Bmal1 knockout and control animals (n = 3–4 per genotype, sex, and time point). While expression of Bmal1 was abolished, it did only partially affect the expression of E-box-controlled genes. Whereas Per1 and Per2 gene expression remained largely unaffected, Cry1 expression was upregulated. Despite statistical analysis revealing genotype effects of targets of the dopamine and GABAergic signaling pathways in males, differences appeared to be relatively small between genotypes (for details, see result section and Table 4). Results are depicted as mean ± standard error of the mean (S.E.M.).

TABLE 4
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TABLE 4. Results of the gene expression analysis.

Genotype effects were revealed by ANOVA when comparing the expression of targets involved in dopaminergic or GABAergic signaling, and cell metabolism, particularly in males (Figure 6 right panel, Table 4). However, expression profiles of those targets varied only marginally between cKO and CTRL animals, based on visual estimation.

Discussion

The impact of a conditional ablation of the circadian clock genes Bmal1 or Per2 from MSNs, the principal neurons of the striatum, on various behaviors was assessed in this study. Results were validated in mice of the Gpr88 line, to rule out that any behavioral phenotypes observed in Bmal1 or Per cKO animals were the effect of Gpr88 haploinsufficiency. Grp88(cre/+) animals lack one functional copy of the Gpr88 gene but have intact clock gene expression.

Anxiety-Like Behavior

Displayed anxiety-related behaviors were not uniform regarding the behavioral tests and varied across clock gene knockouts, but also experimental conditions such as the time of testing and sex. Importantly, the loss of one copy of the Gpr88 gene did not affect anxiety-like behavior in the EPM, OFT and MBT, even though studies revealed a substantial role of Gpr88 in the regulation of anxiety-related behaviors (Meirsman et al., 2016a; 2016b). Time of day, however, was a major factor in the regulation of anxiety-like behavior assessed in the EPM and OFT in Gpr88(cre/+) and Gpr88(+/+) male and female mice, suggesting daily variations in those behaviors. This is in line with the results of a study demonstrating circadian variations of the time spent in the open arm of an elevated plus maze and time spent in the center of an open field (Nakano et al., 2016). Interestingly, animals showed opposed anxiety-like behavior depending on the test, similar to the results in our study. It’s been suggested that anxiety-related behaviors have a multidimensional structure. Therefore, assessment in the EPM or OFT may represent a distinct aspect or trait of anxiety-like behavior depending on the test (van Gaalen and Steckler, 2000; Carola et al., 2002; Nakano et al., 2016; de Brouwer et al., 2019), which may be affected differently by the conditional clock gene knockout. Bmal1 cKO mice displayed increased open arm time irrespective of the time of day, suggesting that the complete deletion of Bmal1 from the striatum has an anxiolytic effect. In contrast, Bmal1 cKO displayed reduced center time particularly at the beginning of the dark period, indicating an anxiogenic effect of the knockout.

In general, relatively little is known about the role of Bmal1 in the control of anxiety-related behaviors. A conditional knockout in the forebrain did not affect anxiety-like behavior in mice (Snider et al., 2016). Downregulation of the nuclear receptor Rev-Erb-alpha (Rev-Erbɑ), a repressor of Bmal1 expression, in the NAc had anxiolytic effects in mice when assessed in the light/dark box (Zhao and Gammie, 2018). However, the study did not provide information on whether Bmal1 expression was affected by the Rev-Erb alpha downregulation, thus the role of Bmal1 in the observed anxiolytic effect remains speculative. Potential mechanisms of Bmal1 in the control of anxiety-related behavior are poorly understood but may include E-box regulated expression of other clock or clock-controlled genes. Our study revealed an upregulation of Cry1 expression in Bmal1 cKO animals. Interestingly, studies find mixed outcomes of a global Cry1 knockout on anxiety-like behaviors in mice. When assessed in the EPM and OFT, increased anxiety-like behavior was found (De Bundel et al., 2013), whereas it was reduced in the elevated O-maze test (Schnell et al., 2015). Striatal Per1 and Per2 expression, on the other hand, remained relatively unaffected by the conditional Bmal1 knockout in our study, indicating a mechanism that is independent of the Per genes is affecting anxiety-like behavior in Bmal1 cKO animals. Conversely, other work revealed anxiogenic effects of simultaneous downregulations of Per1 and Per2 in the nucleus accumbens in mice assessed in the elevated plus-maze and open field (Spencer et al., 2013). In our study, a conditional Per2 knockout from striatal MSNs revealed no significant effect on anxiety-like behaviors, although a trend towards decreased anxiety-like behavior in male Per2 cKO mice was observed. A similar result was found in global Per2 knockout mice assessed in the open field (Russell et al., 2021), whereas assessment of genome-wide deletions of either Per1 or Per2 in the elevated plus-maze revealed mixed outcomes on anxiety-like behavior (Spencer et al., 2013). Thus, further work is needed to fully understand the role of E-box-controlled clock genes such as Per and Cry genes in the regulation of anxiety-like behavior, with specific emphasis on the specific anxiety traits revealed by the respective behavioral tests. Other factors need to be considered as well, such as the effects of the clock genes outside the clockwork. For instance, downregulation of the Clock homolog Npas2 in the NAc had an anxiolytic effect, presumably through GABAergic neurotransmission (Ozburn et al., 2017).

Assessment of anxiety-like behavior in the MBT revealed no effect of a Bmal1 or Per2 knockout. However, it is important to note that the MBT may reflect a better assessment of obsessive-compulsory behavior rather than anxiety (Thomas et al., 2009).

Sex had little influence on anxiety-related behaviors in our study. Despite findings suggesting increased anxiety-related behavior in the open field and elevated plus-maze in C57 female mice (Donner and Lowry, 2013), sex-specific effects were prominent in the OFT in Per2 cKO only. The estrous stage, however, did not affect anxiety-like behavior in females assessed during the light period. Even though studies revealed mixed outcomes on the effect of daytime on anxiety-like behaviors (Richetto et al., 2018; Meseguer Henarejos et al., 2020; Tsao et al., 2022), our results strongly support the view that time of day is a major factor in the regulation of anxiety-like behavior, and the deletion of clock genes in the striatum appears to attenuate this effect.

Depressive-Like Behavior

Mood and anxiety disorders are common psychiatric illnesses and epidemiological and clinical data point to high comorbidity between depression and anxiety disorders that may reflect shared pathophysiological mechanisms (Kessler et al., 2008; Lamers et al., 2011), including dysfunctional regulation of circadian clock gene expression (Gouin et al., 2010; Lavebratt et al., 2010; Valenzuela et al., 2016). Studies in rodents confirm this view. Downregulation of Bmal1 expression in the SCN of mice induced depression- and anxiety-like behavior (Landgraf et al., 2016a). Induction of depressive-like behavior, on the other hand, pointed to alterations of daily Bmal1 and Per2 expression profiles in the NAc (Logan et al., 2015; Landgraf et al., 2016b). In our study, the conditional ablation of Bmal1, but not Per2, from striatal MSNs reduced depressive-like behavior assessed in the tail suspension test. The results indicate that loss-of-function of Bmal1 in the striatum affects depressive-like behavior differently compared to a dysregulation of its daily expression. The exact mechanism, however, remains elusive. Downregulation of Bmal1 expression in the NAc reduced the expression of Cry1 and Cry2, but did not affect immobility time in the tail suspension test (Porcu et al., 2020). The same study, however, linked reduced DRD1 activation with upregulated CRY1 expression, presumably through interactions of CRY1 with G-proteins. A pivotal role of CRY1 in the control of dopaminergic neurotransmission in the striatum was suggested by others as well (Schnell et al., 2015). The authors of the study, however, suggest that altered dopamine levels may be causal for observed behavioral phenotypes, conceivably through alteration in the expression of monoamine oxidase A (Maoa) by Per2 (Hampp et al., 2008). The conditional ablation of Per2 from striatal MSNs, however, did not affect depressive-like behaviour in our study. The results of gene expression analysis in our study furthermore indicated that Maoa expression appears to be largely unaffected in Baml1 cKO mice, thus other factors in the control of depressive-like behaviors must be considered. Daily differences in the expression of the dopamine receptor type 3 (DRD3), which is involved in the regulation of mood and anxiety-like behavior (Moraga-Amaro et al., 2014) were controlled by circadian clock components retinoic acid receptor-related orphan receptor alpha (Rorɑ) and Rev-Erbɑ (Ikeda et al., 2013). Expression of Rorɑ and Rev-Erbɑ is controlled by Bmal1 (Preitner et al., 2002), thus future studies should elaborate this link in more detail. One limitation of our study is the assessment of depressive-like behavior at one time point only. Studies indicate that other measures of depressive-like behavior, like anhedonia in the sucrose-preference test, vary over the course of the day (Liu et al., 2018). Our unpublished results in C57BL/6 mice confirm this view. However, a sucrose-preference test conducted in mice of the Bmal1 and Per2 lines revealed no difference in sucrose preference between the genotypes (de Zavalia et al., 2021).

Motor Function

Besides the impact of striatal Bmal1 and Per2 deletion on affective behaviors, pronounced effects on motor functioning were found. Despite previous work demonstrates that locomotor activity levels and circadian functioning were not affected by the conditional knockout of Bmal1 and Per2 when locomotor activity rhythms were assessed using running wheels (de Zavalia et al., 2021), cKO mice of both strains displayed increased levels of locomotor activity compared to CTRL animals in the open field test. Although studies suggest a role of circadian clock genes in the adaptation to novel environments (Kondratova et al., 2010), novelty-induced hyperactivity in the OFT was likely not caused by a striatal loss-of-function of the respective clock genes in our study. Like Bmal1 and Per2 cKO mice, Gpr88(cre/+) mice had elevated levels of activity compared to Gpr88(+/+) controls. Therefore, hyperlocomotion could be a consequence of a haploinsufficiency of the Gpr88 gene, which is in line with studies demonstrating locomotor hyperactivity in Gpr88 knockout animals (Quintana et al., 2012; Meirsman et al., 2016a).

Deficits in motor coordination, on the other hand, were only found in Bmal1 cKO animals, which show poorer performance in the HBT and FSRR tests. The effects were associated with a loss of Bmal1 in striatal MSNs. Although it is well known that a knockout of Gpr88 affects motor function (Quintana et al., 2012; Meirsman et al., 2016a, 2019), no differences were found between Gpr88(cre/+) and Gpr88(+/+) mice. To our knowledge, this is the first study describing a striatal-specific role of circadian clock genes in the regulation of motor functions. Motor impairment in the rotarod task has been demonstrated in global Cry1/Cry2 knockout mice, and the authors argued that it may be a consequence of elevated anxiety-like behavior observed in those animals (De Bundel et al., 2013). However, this seems unlikely to be the cause of impaired motor coordination in Bmal1 cKO mice in our study, given the effects on anxiety-like behavior discussed above. Because motor phenotypes resemble symptoms observed in neurodegenerative diseases like Parkinson’s and Huntington’s disease (Carter et al., 1999; Sedelis et al., 2001), we tested whether dopamine signaling was affected by the conditional Bmal1 knockout. Whereas no difference in the locomotor response following a systemic administration of the dopamine receptor type 2 agonist quinpirole was observed between Bmal1 cKO and CTRL animals, Bmal1 cKO mice tended to show a delayed and attenuated response to administration of dopamine receptor type 1 agonist SKF-81297, particularly in females. However, a similar response was observed in male and female Gpr88(cre/+) mice compared Gpr88(+/+) controls, indicating that a dose-dependent effect of the Gpr88 gene mitigates the response to DRD1 agonist treatment in the Gpr88 and Bmal1 line despite a lack of a significant genotype effect in males and females. Indeed, gene-dosage effects of Gpr88 on DRD1 and DRD2 function were reported recently (Laboute et al., 2020). The study shows a dose-dependent activation of DRD1 or inhibition of DRD2 receptor activity by Gpr88, respectively, mediated through interactions with G-proteins. Therefore, it is conceivable that a lack of one copy of Gpr88 in Gpr88(cre/+) animals contributes to the attenuated response to SKF-81297. Interestingly, the diminished effect of SKF-81297 was more pronounced in Bmal1 cKO females compared to Gpr88(cre/+) females, whereas males of both lines showed a similar response. This suggests that sex-dependent effects of the Bmal1 knockout add to the observed motor deficits as well. Sex-dependent differences in striatal dopamine receptor expression and regulation of dopaminergic signalling have been described in the literature (Williams et al., 2021; Zachry et al., 2021). Gene expression analysis of targets involved in dopamine signalling pathway, however, revealed no major differences between genotypes and sexes, ruling out the possibility that the Bmal1 deletion affects expression of targets involved in dopaminergic signalling. However, indirect effects of the Bmal1 ablation from MSNs could contribute to the attenuated response to SKF-81297. As described above, Bmal1 cKO mice have increased levels of Cry1 expression in MSNs, and elevated levels of CRY1 protein may contribute to inhibitory effects on DRD1 functioning (Porcu et al., 2020).

Striatal Mitochondrial Respiration

It has been suggested that dysfunctions in striatal mitochondrial metabolism may contribute to the development of neurodevelopmental disorders and neurodegenerative disease, which are characterized by motor abnormalities, among other behavioral alterations (Roze et al., 2010; Lu et al., 2018; Wang et al., 2022). Because circadian clock genes, and Bmal1 in particular, play a pivotal role in the regulation of metabolic processes and have been linked to the development of oxidative stress and neurodegeneration (Musiek et al., 2013; Carter et al., 2021), we compared striatal mitochondrial respiration between Bmal1 cKO mice and controls. We found no differences between the genotypes in male and female mice, suggesting the behavioral phenotypes in Bmal1 cKO mice are not linked to mitochondrial respiration, which is in line with findings of other studies (Hamilton et al., 2017). Expression of Sirt1, a deacetylase that acts as a metabolic sensor through its NAD+ - dependent enzymatic activity, on the other hand, differed between Bmal1 cKO mice and controls, even though differences were small and likely not of functional significance. Sirt1 plays a vital role in a variety of metabolic processes such as mitochondrial respiration but also links metabolic homeostasis with circadian clock function (Xu et al., 2018). Bmal1 cKO and CTRL mice did not display differences in mitochondrial respiration measured at two different time points, suggesting stable metabolic function throughout the day. However, future work should incorporate respirometry measurements during the active phase of the mice to provide a full picture. Interestingly, coupling efficiency was increased in mice of the Bmal1 line when compared to mice of the Gpr88 line, presumably through reduced proton leakage in Bmal1 cKO and CTRL mice, indicating that the deletion of one copy of Bmal1 in the striatum is sufficient to cause these alterations. Conversely, a study on embryonic stem cells with a Bmal1 knockout revealed higher respiration accompanied by increased proton leakage and increased mitochondrial ROS production (Ameneiro et al., 2020). The effects, however, may be linked to a specific role of Bmal1 on cell functions during embryogenesis. Although measurements of ROS levels and oxidative stress responses should be considered in follow up studies, it appears that a deletion of Bmal1 has only minor effects on mitochondrial respiration in MSN.

Gene Expression

Mixed outcomes on the effects of gene expression were found in our study. Besides the pronounced effects of the Bmal1 knockout on Dbp expression, other E-box-controlled genes appeared to be less affected, particularly Per1 and Per2. It’s thus tempting to speculate that the expression of those targets is controlled by a mechanism independent of the circadian clock that may contribute to extra-SCN oscillator functioning. Indeed, previous studies found a link between dopamine signaling and clock gene expression (Imbesi et al., 2009; Hood et al., 2010). The strength of this relation, however, needs to be investigated in follow-up studies.

Limitations

The conditional knockout of clock genes in our study is restricted to MSNs exclusively. Clock gene expression in cells of the striatal network other than MSNs, such as astrocytes, should not be directly affected by the conditional knockout as Gpr88 is expressed in MSNs only (Massart et al., 2009). A separation between striatal astrocyte and MSN circadian clock function, however, is important as recent work demonstrates that the circadian clock in astrocytes of the NAc contributes significantly to the regulation of behavior, as well as striatal cell metabolism and neurotransmitter signaling (Becker-Krail et al., 2022). This is in line with emerging evidence showing a functional significance of the astrocyte circadian clock on the regulation of daily rhythms (Brancaccio et al., 2019), and the role of striatal astrocytes in governing MSN functions in general (Khakh, 2019). Because anxiety-like behaviors are mildly affected by the conditional Bmal1 and Per2 knockout in our study, it is tempting to speculate about a contributing or compensatory role of striatal astrocytes with functional circadian clocks on behavioral control. Likewise, the distinct role of astrocyte clocks on metabolism as well as the impact of astrocyte mitochondrial metabolism on the regulation of metabolic processes in neighboring neurons (Rose et al., 2020; Barca-Mayo and López, 2021) may have affected the results of our measurements on mitochondrial respiration. Although Bmal1 plays a significant role in cellular metabolism as described above, the effect of a conditional knockout may be compensated by astrocytes with intact clock function and thus explain similar respiration rates in Bmal1 cKO and CTRL animals observed in our study. Alternatively, the use of whole striatal tissue including clock-intact astrocytes and clock-disrupted MSNs may have contributed to a reduction of recognizable differences between genotypes. The same limitation applies to the measurements of gene expression in our study. Expression profiles of clock genes Bmal1 and Per2, amongst others, in NAc astrocytes displayed profound diurnal rhythms, with identical phases as observed in our study (Becker-Krail et al., 2022). Even though the astrocyte-specific portion on daily gene expression profiles obtained from whole striatal tissue punches of Bmal1 cKO and CTRL animals in our study cannot be conclusively determined, it is conceivable that it reflected in our gene expression analysis to some extent. Thus, further studies are required to decipher clock-dependent mutual interactions between astrocytes and MSNs in the striatum on behavior, cell metabolism and molecular functioning in more detail.

Overall, the study revealed mild effects of a conditional knockout of Bmal1 and Per2 from striatal MSNs on affective behaviors, which was more pronounced in Bmal1 cKO mice. Deficits in motor coordination, on the other hand, were only found in Bmal1 cKO animals. Interestingly, anxiety and depression are common comorbidities in neurodegenerative diseases associated with motor dysfunctions (Aarsland et al., 2009). Whether neuropsychiatric and neurodegenerative conditions share a common Bmal1-dependent pathophysiological mechanism in MSNs remains elusive, however, the results of our study suggest an interaction of Bmal1 with the direct dopaminergic signaling pathway as a potential cause. Because of the partially opposing effects of a conditional ablation of Bmal1 from MSNs on the respective disease states, this would have important implications on the treatment of symptoms associated with those disorders (Eskow Jaunarajs et al., 2011). Future studies are therefore indispensable to elaborate on this link in more detail.

Data Availability Statement

The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.

Ethics Statement

The animal study was reviewed and approved by the Canadian Council on Animal Care and the Concordia University Animal Care Committee (certificate number: 30000256).

Author Contributions

KS and SA conceived and designed the study. KS and MA performed the behavioral experiments with assistance from MB, JH, and NQ. KS and CG performed the molecular experiments. MB performed the experiments and analyzed data on dopamine agonist treatment. AB performed and analyzed measurements on mitochondrial metabolism. KS analyzed the behavioral and molecular data and prepared graphs with assistance from CM. KS wrote the manuscript. CM, AB and SA revised the manuscript. All authors approved the final manuscript.

Funding

This study was supported by grants from the Canadian Institutes of Health Research (SA).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

The authors are thankful to Dr. Joseph Olajide for his technical advice and critical discussion of the manuscript.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphys.2022.922080/full#supplementary-material

References

Aarsland D., Marsh L., Schrag A. (2009). Neuropsychiatric Symptoms in Parkinson's Disease. Mov. Disord. 24, 2175–2186. doi:10.1002/mds.22589

PubMed Abstract | CrossRef Full Text | Google Scholar

A.Kondratova A., V.Dubrovsky Y., Antoch M. P., Kondratov R. V. (2010). Circadian Clock Proteins Control Adaptation to Novel Environment and Memory Formation. Aging 2, 285–297. doi:10.18632/aging.100142

PubMed Abstract | CrossRef Full Text | Google Scholar

Ameneiro C., Moreira T., Fuentes-Iglesias A., Coego A., Garcia-Outeiral V., Escudero A., et al. (2020). BMAL1 Coordinates Energy Metabolism and Differentiation of Pluripotent Stem Cells. Life Sci. Alliance 3, e201900534. doi:10.26508/lsa.201900534

PubMed Abstract | CrossRef Full Text | Google Scholar

Aranda P. S., LaJoie D. M., Jorcyk C. L. (2012). Bleach Gel: A Simple Agarose Gel for Analyzing RNA Quality. ELECTROPHORESIS 33, 366–369. doi:10.1002/elps.201100335

PubMed Abstract | CrossRef Full Text | Google Scholar

Barca-Mayo O., López M. (2021). Astrocyte Clocks and Glucose Homeostasis. Front. Endocrinol. 12, 662017. doi:10.3389/fendo.2021.662017

CrossRef Full Text | Google Scholar

Becker-Krail D. D., Ketchesin K. D., Burns J. N., Zong W., Hildebrand M. A., DePoy L. M., et al. (2022). Astrocyte Molecular Clock Function in the Nucleus Accumbens Is Important for Reward-Related Behavior. Biol. Psychiatry. S0006322322000944, 1–13. doi:10.1016/j.biopsych.2022.02.007

CrossRef Full Text | Google Scholar

Beutler L. R., Wanat M. J., Quintana A., Sanz E., Bamford N. S., Zweifel L. S., et al. (2011). Balanced NMDA Receptor Activity in Dopamine D1 Receptor (D1R)- and D2R-Expressing Medium Spiny Neurons Is Required for Amphetamine Sensitization. Proc. Natl. Acad. Sci. U.S.A. 108, 4206–4211. doi:10.1073/pnas.1101424108

PubMed Abstract | CrossRef Full Text | Google Scholar

Bozek K., Relógio A., Kielbasa S. M., Heine M., Dame C., Kramer A., et al. (2009). Regulation of Clock-Controlled Genes in Mammals. PLoS ONE 4, e4882. doi:10.1371/journal.pone.0004882

PubMed Abstract | CrossRef Full Text | Google Scholar

Brancaccio M., Edwards M. D., Patton A. P., Smyllie N. J., Chesham J. E., Maywood E. S., et al. (2019). Cell-autonomous Clock of Astrocytes Drives Circadian Behavior in Mammals. Science 363, 187–192. doi:10.1126/science.aat4104

PubMed Abstract | CrossRef Full Text | Google Scholar

Can A., Dao D. T., Terrillion C. E., Piantadosi S. C., Bhat S., Gould T. D. (2012). The Tail Suspension Test. JoVE 59, e3769. doi:10.3791/3769

PubMed Abstract | CrossRef Full Text | Google Scholar

Carola V., D'Olimpio F., Brunamonti E., Mangia F., Renzi P. (2002). Evaluation of the Elevated Plus-Maze and Open-Field Tests for the Assessment of Anxiety-Related Behaviour in Inbred Mice. Behav. Brain Res. 134, 49–57. doi:10.1016/S0166-4328(01)00452-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Carter B., Justin H. S., Gulick D., Gamsby J. J. (2021). The Molecular Clock and Neurodegenerative Disease: A Stressful Time. Front. Mol. Biosci. 8, 644747. doi:10.3389/fmolb.2021.644747

PubMed Abstract | CrossRef Full Text | Google Scholar

Carter R. J., Lione L. A., Humby T., Mangiarini L., Mahal A., Bates G. P., et al. (1999). Characterization of Progressive Motor Deficits in Mice Transgenic for the Human Huntington's Disease Mutation. J. Neurosci. 19, 3248–3257. doi:10.1523/JNEUROSCI.19-08-03248.1999

PubMed Abstract | CrossRef Full Text | Google Scholar

Chavan R., Feillet C., Costa S. S. F., Delorme J. E., Okabe T., Ripperger J. A., et al. (2016). Liver-derived Ketone Bodies Are Necessary for Food Anticipation. Nat. Commun. 7, 10580. doi:10.1038/ncomms10580

PubMed Abstract | CrossRef Full Text | Google Scholar

Coffey K. R., Nader M., Bawa J., West M. O. (2017). Homogeneous Processing in the Striatal Direct and Indirect Pathways: Single Body Part Sensitive Type IIb Neurons May Express Either Dopamine Receptor D1 or D2. Eur. J. Neurosci. 46, 2380–2391. doi:10.1111/ejn.13690

PubMed Abstract | CrossRef Full Text | Google Scholar

Cornelissen G. (2014). Cosinor-based Rhythmometry. Theor. Biol. Med. Model. 11, 16. doi:10.1186/1742-4682-11-16

PubMed Abstract | CrossRef Full Text | Google Scholar

de Assis L. V. M., Oster H. (2021). The Circadian Clock and Metabolic Homeostasis: Entangled Networks. Cell. Mol. Life Sci. 78, 4563–4587. doi:10.1007/s00018-021-03800-2

PubMed Abstract | CrossRef Full Text | Google Scholar

de Brouwer G., Fick A., Harvey B. H., Wolmarans D. W. (2019). A Critical Inquiry into Marble-Burying as a Preclinical Screening Paradigm of Relevance for Anxiety and Obsessive-Compulsive Disorder: Mapping the Way Forward. Cogn. Affect Behav. Neurosci. 19, 1–39. doi:10.3758/s13415-018-00653-4

PubMed Abstract | CrossRef Full Text | Google Scholar

De Bundel D., Gangarossa G., Biever A., Bonnefont X., Valjent E. (2013). Cognitive Dysfunction, Elevated Anxiety, and Reduced Cocaine Response in Circadian Clock-Deficient Cryptochrome Knockout Mice. Front. Behav. Neurosci. 7, 1–11. doi:10.3389/fnbeh.2013.00152

PubMed Abstract | CrossRef Full Text | Google Scholar

de Zavalia N., Schoettner K., Goldsmith J. A., Solis P., Ferraro S., Parent G., et al. (2021). Bmal1 in the Striatum Influences Alcohol Intake in a Sexually Dimorphic Manner. Commun. Biol. 4, 1227. doi:10.1038/s42003-021-02715-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Donner N. C., Lowry C. A. (2013). Sex Differences in Anxiety and Emotional Behavior. Pflugers Arch. - Eur. J. Physiol. 465, 601–626. doi:10.1007/s00424-013-1271-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Eskow Jaunarajs K. L., Angoa-Perez M., Kuhn D. M., Bishop C. (2011). Potential Mechanisms Underlying Anxiety and Depression in Parkinson's Disease: Consequences of L-DOPA Treatment. Neurosci. Biobehav. Rev. 35, 556–564. doi:10.1016/j.neubiorev.2010.06.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Feillet C. A., Ripperger J. A., Magnone M. C., Dulloo A., Albrecht U., Challet E. (2006). Lack of Food Anticipation in Per2 Mutant Mice. Curr. Biol. 16, 2016–2022. doi:10.1016/j.cub.2006.08.053

PubMed Abstract | CrossRef Full Text | Google Scholar

Gerfen C. R., Surmeier D. J. (2011). Modulation of Striatal Projection Systems by Dopamine. Annu. Rev. Neurosci. 34, 441–466. doi:10.1146/annurev-neuro-061010-113641

PubMed Abstract | CrossRef Full Text | Google Scholar

Gouin J.-P., Connors J., Kiecolt-Glaser J. K., Glaser R., Malarkey W. B., Atkinson C., et al. (2010). Altered Expression of Circadian Rhythm Genes Among Individuals with a History of Depression. J. Affect. Disord. 126, 161–166. doi:10.1016/j.jad.2010.04.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Hamilton J., Brustovetsky T., Brustovetsky N. (2017). Oxidative Metabolism and Ca 2+ Handling in Striatal Mitochondria from YAC128 Mice, a Model of Huntington's Disease. Neurochem. Int. 109, 24–33. doi:10.1016/j.neuint.2017.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Hampp G., Ripperger J. A., Houben T., Schmutz I., Blex C., Perreau-Lenz S., et al. (2008). Regulation of Monoamine Oxidase A by Circadian-Clock Components Implies Clock Influence on Mood. Curr. Biol. 18, 678–683. doi:10.1016/j.cub.2008.04.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Hood S., Cassidy P., Cossette M.-P., Weigl Y., Verwey M., Robinson B., et al. (2010). Endogenous Dopamine Regulates the Rhythm of Expression of the Clock Protein PER2 in the Rat Dorsal Striatum via Daily Activation of D2 Dopamine Receptors. J. Neurosci. 30, 14046–14058. doi:10.1523/JNEUROSCI.2128-10.2010

PubMed Abstract | CrossRef Full Text | Google Scholar

Ikeda E., Matsunaga N., Kakimoto K., Hamamura K., Hayashi A., Koyanagi S., et al. (2013). Molecular Mechanism Regulating 24-Hour Rhythm of Dopamine D3 Receptor Expression in Mouse Ventral Striatum. Mol. Pharmacol. 83, 959–967. doi:10.1124/mol.112.083535

PubMed Abstract | CrossRef Full Text | Google Scholar

Imbesi M., Yildiz S., Dirim Arslan A., Sharma R., Manev H., Uz T. (2009). Dopamine Receptor-Mediated Regulation of Neuronal "clock" Gene Expression. Neuroscience 158, 537–544. doi:10.1016/j.neuroscience.2008.10.044

PubMed Abstract | CrossRef Full Text | Google Scholar

Kessler R. C., Gruber M., Hettema J. M., Hwang I., Sampson N., Yonkers K. A. (2008). Co-morbid Major Depression and Generalized Anxiety Disorders in the National Comorbidity Survey Follow-Up. Psychol. Med. 38, 365–374. doi:10.1017/S0033291707002012

PubMed Abstract | CrossRef Full Text | Google Scholar

Ketchesin K. D., Becker‐Krail D., McClung C. A. (2020). Mood‐related Central and Peripheral Clocks. Eur. J. Neurosci. 51, 326–345. doi:10.1111/ejn.14253

PubMed Abstract | CrossRef Full Text | Google Scholar

Khakh B. S. (2019). Astrocyte-Neuron Interactions in the Striatum: Insights on Identity, Form, and Function. Trends Neurosci. 42, 617–630. doi:10.1016/j.tins.2019.06.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim J., Jang S., Choe H. K., Chung S., Son G. H., Kim K. (2017). Implications of Circadian Rhythm in Dopamine and Mood Regulation. Mol. Cells 40, 450–456. doi:10.14348/molcells.2017.0065

PubMed Abstract | CrossRef Full Text | Google Scholar

Komada M., Takao K., Miyakawa T. (2008). Elevated Plus Maze for Mice. JoVE 22, e1088. doi:10.3791/1088

CrossRef Full Text | Google Scholar

Laboute T., Gandía J., Pellissier L. P., Corde Y., Rebeillard F., Gallo M., et al. (2020). The Orphan Receptor GPR88 Blunts the Signaling of Opioid Receptors and Multiple Striatal GPCRs. eLife 9, e50519. doi:10.7554/eLife.50519

PubMed Abstract | CrossRef Full Text | Google Scholar

Lamers F., van Oppen P., Comijs H. C., Smit J. H., Spinhoven P., van Balkom A. J. L. M., et al. (2011). Comorbidity Patterns of Anxiety and Depressive Disorders in a Large Cohort Study. J. Clin. Psychiatry 72, 341–348. doi:10.4088/JCP.10m06176blu

PubMed Abstract | CrossRef Full Text | Google Scholar

Landgraf D., Long J. E., Proulx C. D., Barandas R., Malinow R., Welsh D. K. (2016a). Genetic Disruption of Circadian Rhythms in the Suprachiasmatic Nucleus Causes Helplessness, Behavioral Despair, and Anxiety-like Behavior in Mice. Biol. Psychiatry 80, 827–835. doi:10.1016/j.biopsych.2016.03.1050

PubMed Abstract | CrossRef Full Text | Google Scholar

Landgraf D., Long J. E., Welsh D. K. (2016b). Depression-like Behaviour in Mice Is Associated with Disrupted Circadian Rhythms in Nucleus Accumbens and Periaqueductal Grey. Eur. J. Neurosci. 43, 1309–1320. doi:10.1111/ejn.13085

PubMed Abstract | CrossRef Full Text | Google Scholar

Lavebratt C., Sjöholm L. K., Partonen T., Schalling M., Forsell Y. (2010). PER2 Variantion Is Associated with Depression Vulnerability. Am. J. Med. Genet. 153B, 570–581. doi:10.1002/ajmg.b.31021

CrossRef Full Text | Google Scholar

Liu M.-Y., Yin C.-Y., Zhu L.-J., Zhu X.-H., Xu C., Luo C.-X., et al. (2018). Sucrose Preference Test for Measurement of Stress-Induced Anhedonia in Mice. Nat. Protoc. 13, 1686–1698. doi:10.1038/s41596-018-0011-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Logan R. W., Edgar N., Gillman A. G., Hoffman D., Zhu X., McClung C. A. (2015). Chronic Stress Induces Brain Region-specific Alterations of Molecular Rhythms that Correlate with Depression-like Behavior in Mice. Biol. Psychiatry 78, 249–258. doi:10.1016/j.biopsych.2015.01.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu Y., Zhang X., Zhao L., Yang C., Pan L., Li C., et al. (2018). Metabolic Disturbances in the Striatum and Substantia Nigra in the Onset and Progression of MPTP-Induced Parkinsonism Model. Front. Neurosci. 12, 90. doi:10.3389/fnins.2018.00090

PubMed Abstract | CrossRef Full Text | Google Scholar

Massart R., Guilloux J.-P., Mignon V., Sokoloff P., Diaz J. (2009). Striatal GPR88 Expression Is Confined to the Whole Projection Neuron Population and Is Regulated by Dopaminergic and Glutamatergic Afferents. Eur. J. Neurosci. 30, 397–414. doi:10.1111/j.1460-9568.2009.06842.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Meirsman A. C., Ben Hamida S., Clarke E., de Kerchove d’Exaerde A., Darcq E., Kieffer B. L. (2019). GPR88 in D1R-type and D2R-type Medium Spiny Neurons Differentially Regulates Affective and Motor Behavior. eNeuro 6, 0035–119. doi:10.1523/ENEURO.0035-19.2019

PubMed Abstract | CrossRef Full Text | Google Scholar

Meirsman A. C., Le Merrer J., Pellissier L. P., Diaz J., Clesse D., Kieffer B. L., et al. (2016a). Mice Lacking GPR88 Show Motor Deficit, Improved Spatial Learning, and Low Anxiety Reversed by Delta Opioid Antagonist. Biol. Psychiatry 79, 917–927. doi:10.1016/j.biopsych.2015.05.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Meirsman A. C., Robé A., de Kerchove d’Exaerde A., Kieffer B. L. (2016b). GPR88 in A2AR Neurons Enhances Anxiety-like Behaviors. eNeuro 3, 0202–0216. doi:10.1523/ENEURO.0202-16.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Meseguer Henarejos A. B., Popović N., Bokonjić D., Morales-Delgado N., Alonso A., Caballero Bleda M., et al. (2020). Sex and Time-Of-Day Impact on Anxiety and Passive Avoidance Memory Strategies in Mice. Front. Behav. Neurosci. 14, 68. doi:10.3389/fnbeh.2020.00068

PubMed Abstract | CrossRef Full Text | Google Scholar

Moraga-Amaro R., Gonzalez H., Pacheco R., Stehberg J. (2014). Dopamine Receptor D3 Deficiency Results in Chronic Depression and Anxiety. Behav. Brain Res. 274, 186–193. doi:10.1016/j.bbr.2014.07.055

PubMed Abstract | CrossRef Full Text | Google Scholar

Musiek E. S., Lim M. M., Yang G., Bauer A. Q., Qi L., Lee Y., et al. (2013). Circadian Clock Proteins Regulate Neuronal Redox Homeostasis and Neurodegeneration. J. Clin. Invest. 123, 5389–5400. doi:10.1172/JCI70317

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakano J. J., Shimizu K., Shimba S., Fukada Y. (2016). SCOP/PHLPP1β in the Basolateral Amygdala Regulates Circadian Expression of Mouse Anxiety-like Behavior. Sci. Rep. 6, 500. doi:10.1038/srep33500

CrossRef Full Text | Google Scholar

Ozburn A. R., Kern J., Parekh P. K., Logan R. W., Liu Z., Falcon E., et al. (2017). NPAS2 Regulation of Anxiety-like Behavior and GABAA Receptors. Front. Mol. Neurosci. 10, 1–12. doi:10.3389/fnmol.2017.00360

PubMed Abstract | CrossRef Full Text | Google Scholar

Paxinos G., Franklin K. B. J. (2004). The Mouse Brain in Stereotaxic Coordinates. 2nd ed. Amsterdam; Boston: Elsevier Academic Press

Google Scholar

Pfaffl M. W. (2001). A New Mathematical Model for Relative Quantification in Real-Time RT-PCR. Nucleic acids Res. 29, 45e–45. doi:10.1093/nar/29.9.e45

CrossRef Full Text | Google Scholar

Porcu A., Vaughan M., Nilsson A., Arimoto N., Lamia K., Welsh D. K. (2020). Vulnerability to Helpless Behavior Is Regulated by the Circadian Clock Component CRYPTOCHROME in the Mouse Nucleus Accumbens. Proc. Natl. Acad. Sci. U.S.A. 117, 13771–13782. doi:10.1073/pnas.2000258117

PubMed Abstract | CrossRef Full Text | Google Scholar

Preitner N., Damiola F., Luis-Lopez-Molina , Zakany J., Duboule D., Albrecht U., et al. (2002). The Orphan Nuclear Receptor REV-Erbα Controls Circadian Transcription within the Positive Limb of the Mammalian Circadian Oscillator. Cell 110, 251–260. doi:10.1016/S0092-8674(02)00825-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Quintana A., Sanz E., Wang W., Storey G. P., Güler A. D., Wanat M. J., et al. (2012). Lack of GPR88 Enhances Medium Spiny Neuron Activity and Alters Motor- and Cue-dependent Behaviors. Nat. Neurosci. 15, 1547–1555. doi:10.1038/nn.3239

PubMed Abstract | CrossRef Full Text | Google Scholar

Richetto J., Polesel M., Weber-Stadlbauer U. (2019). Effects of Light and Dark Phase Testing on the Investigation of Behavioural Paradigms in Mice: Relevance for Behavioural Neuroscience. Pharmacol. Biochem. Behav. 178, 19–29. doi:10.1016/j.pbb.2018.05.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Rose J., Brian C., Pappa A., Panayiotidis M. I., Franco R. (2020). Mitochondrial Metabolism in Astrocytes Regulates Brain Bioenergetics, Neurotransmission and Redox Balance. Front. Neurosci. 14, 536682. doi:10.3389/fnins.2020.536682

PubMed Abstract | CrossRef Full Text | Google Scholar

Roze E., Bonnet C., Betuing S., Caboche J. (2010). Huntington's Disease. Adv. Exp. Med. Biol. 685, 45–63. doi:10.1007/978-1-4419-6448-9_5

PubMed Abstract | CrossRef Full Text | Google Scholar

Russell A. L., Miller L., Yi H., Keil R., Handa R. J., Wu T. J. (2021). Knockout of the Circadian Gene, Per2, Disrupts Corticosterone Secretion and Results in Depressive‐like Behaviors and Deficits in Startle Responses. BMC Neurosci. 22, 5. doi:10.1186/s12868-020-00607-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Schindelin J., Arganda-Carreras I., Frise E., Kaynig V., Longair M., Pietzsch T., et al. (2012). Fiji: an Open-Source Platform for Biological-Image Analysis. Nat. Methods 9, 676–682. doi:10.1038/nmeth.2019

PubMed Abstract | CrossRef Full Text | Google Scholar

Schnell A., Sandrelli F., Ranc V., Ripperger J. A., Brai E., Alberi L., et al. (2015). Mice Lacking Circadian Clock Components Display Different Mood-Related Behaviors and Do Not Respond Uniformly to Chronic Lithium Treatment. Chronobiology Int. 32, 1075–1089. doi:10.3109/07420528.2015.1062024

PubMed Abstract | CrossRef Full Text | Google Scholar

Sedelis M., Schwarting R. K. W., Huston J. P. (2001). Behavioral Phenotyping of the MPTP Mouse Model of Parkinson's Disease. Behav. Brain Res. 125, 109–125. doi:10.1016/S0166-4328(01)00309-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Snider K. H., Dziema H., Aten S., Loeser J., Norona F. E., Hoyt K., et al. (2016). Modulation of Learning and Memory by the Targeted Deletion of the Circadian Clock Gene Bmal1 in Forebrain Circuits. Behav. Brain Res. 308, 222–235. doi:10.1016/j.bbr.2016.04.027

PubMed Abstract | CrossRef Full Text | Google Scholar

Spencer S., Falcon E., Kumar J., Krishnan V., Mukherjee S., Birnbaum S. G., et al. (2013). Circadian genesPeriod 1andPeriod 2in the Nucleus Accumbens Regulate Anxiety-Related Behavior. Eur. J. Neurosci. 37, 242–250. doi:10.1111/ejn.12010

PubMed Abstract | CrossRef Full Text | Google Scholar

Storch K.-F., Paz C., Signorovitch J., Raviola E., Pawlyk B., Li T., et al. (2007). Intrinsic Circadian Clock of the Mammalian Retina: Importance for Retinal Processing of Visual Information. Cell 130, 730–741. doi:10.1016/j.cell.2007.06.045

PubMed Abstract | CrossRef Full Text | Google Scholar

Takahashi J. S. (2017). Transcriptional Architecture of the Mammalian Circadian Clock. Nat. Rev. Genet. 18, 164–179. doi:10.1038/nrg.2016.150

PubMed Abstract | CrossRef Full Text | Google Scholar

Thomas A., Burant A., Bui N., Graham D., Yuva-Paylor L. A., Paylor R. (2009). Marble Burying Reflects a Repetitive and Perseverative Behavior More Than Novelty-Induced Anxiety. Psychopharmacology 204, 361–373. doi:10.1007/s00213-009-1466-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Tsao C.-H., Flint J., Huang G.-J. (2022). Influence of Diurnal Phase on Behavioral Tests of Sensorimotor Performance, Anxiety, Learning and Memory in Mice. Sci. Rep. 12, 432. doi:10.1038/s41598-021-03155-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Valenzuela F. J., Vera J., Venegas C., Muñoz S., Oyarce S., Muñoz K., et al. (20162016). Evidences of Polymorphism Associated with Circadian System and Risk of Pathologies: A Review of the Literature. Int. J. Endocrinol. 2016, 1–12. doi:10.1155/2016/2746909

PubMed Abstract | CrossRef Full Text | Google Scholar

van Gaalen M. M., Steckler T. (2000). Behavioural Analysis of Four Mouse Strains in an Anxiety Test Battery. Behav. Brain Res. 115, 95–106. doi:10.1016/S0166-4328(00)00240-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang J., Fröhlich H., Torres F. B., Silva R. L., Poschet G., Agarwal A., et al. (2022). Mitochondrial Dysfunction and Oxidative Stress Contribute to Cognitive and Motor Impairment in FOXP1 Syndrome. Proc. Natl. Acad. Sci. U.S.A. 119, e2112852119. doi:10.1073/pnas.2112852119

PubMed Abstract | CrossRef Full Text | Google Scholar

Williams O. O. F., Coppolino M., George S. R., Perreault M. L. (2021). Sex Differences in Dopamine Receptors and Relevance to Neuropsychiatric Disorders. Brain Sci. 11, 1199. doi:10.3390/brainsci11091199

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu J., Jackson C. W., Khoury N., Escobar I., Perez-Pinzon M. A. (2018). Brain SIRT1 Mediates Metabolic Homeostasis and Neuroprotection. Front. Endocrinol. 9, 702. doi:10.3389/fendo.2018.00702

PubMed Abstract | CrossRef Full Text | Google Scholar

Zachry J. E., Nolan S. O., Brady L. J., Kelly S. J., Siciliano C. A., Calipari E. S. (2021). Sex Differences in Dopamine Release Regulation in the Striatum. Neuropsychopharmacol. 46, 491–499. doi:10.1038/s41386-020-00915-1

CrossRef Full Text | Google Scholar

Zhao C., Gammie S. C. (2018). The Circadian Gene Nr1d1 in the Mouse Nucleus Accumbens Modulates Sociability and Anxiety-Related Behaviour. Eur. J. Neurosci. 48, 1924–1943. doi:10.1111/ejn.14066

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: clock genes, medium spiny neurons, mood-and anxiety-like behavior, motor coordination, mitochondrial respiration

Citation: Schoettner K, Alonso M, Button M, Goldfarb C, Herrera J, Quteishat N, Meyer C, Bergdahl A and Amir S (2022) Characterization of Affective Behaviors and Motor Functions in Mice With a Striatal-Specific Deletion of Bmal1 and Per2. Front. Physiol. 13:922080. doi: 10.3389/fphys.2022.922080

Received: 17 April 2022; Accepted: 23 May 2022;
Published: 08 June 2022.

Edited by:

Etienne Challet, Université de Strasbourg, France

Reviewed by:

Xavier Bonnefont, INSERM U1191 Institut de Génomique Fonctionnelle (IGF), France
Ryan Logan, Boston University School of Medicine, United States

Copyright © 2022 Schoettner, Alonso, Button, Goldfarb, Herrera, Quteishat, Meyer, Bergdahl and Amir. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Konrad Schoettner, a29ucmFkLnNjaG90dG5lckBjb25jb3JkaWEuY2E=; Shimon Amir, c2hpbW9uLmFtaXJAY29uY29yZGlhLmNh

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