Skip to main content

A DLG2 deficiency in mice leads to reduced sociability and increased repetitive behavior accompanied by aberrant synaptic transmission in the dorsal striatum

Abstract

Background

DLG2, also known as postsynaptic density protein-93 (PSD-93) or chapsyn-110, is an excitatory postsynaptic scaffolding protein that interacts with synaptic surface receptors and signaling molecules. A recent study has demonstrated that mutations in the DLG2 promoter region are significantly associated with autism spectrum disorder (ASD). Although DLG2 is well known as a schizophrenia-susceptibility gene, the mechanisms that link DLG2 gene disruption with ASD-like behaviors remain unclear.

Methods

Mice lacking exon 14 of the Dlg2 gene (Dlg2–/– mice) were used to investigate whether Dlg2 deletion leads to ASD-like behavioral abnormalities. To this end, we performed a battery of behavioral tests assessing locomotion, anxiety, sociability, and repetitive behaviors. In situ hybridization was performed to determine expression levels of Dlg2 mRNA in different mouse brain regions during embryonic and postnatal brain development. We also measured excitatory and inhibitory synaptic currents to determine the impacts of Dlg2 deletion on synaptic transmission in the dorsolateral striatum.

Results

Dlg2–/– mice showed hypoactivity in a novel environment. They also exhibited decreased social approach, but normal social novelty recognition, compared with wild-type animals. In addition, Dlg2–/– mice displayed strong self-grooming, both in home cages and novel environments. Dlg2 mRNA levels in the striatum were heightened until postnatal day 7 in mice, implying potential roles of DLG2 in the development of striatal connectivity. In addition, the frequency of excitatory, but not inhibitory, spontaneous postsynaptic currents in the Dlg2–/– dorsolateral striatum was significantly reduced.

Conclusion

These results suggest that homozygous Dlg2 deletion in mice leads to ASD-like behavioral phenotypes, including social deficits and increased repetitive behaviors, as well as reductions in excitatory synaptic input onto dorsolateral spiny projection neurons, implying that the dorsal striatum is one of the brain regions vulnerable to the developmental dysregulation of DLG2.

Background

DLG2, also known as postsynaptic density protein-93 (PSD-93) or Chapsyn-110, is a postsynaptic scaffold protein that belongs to the membrane-associated guanylate kinase (MAGUK) family, whose members directly interact with diverse synaptic receptors, membrane proteins, and signaling proteins and play a critical role in the molecular organization of multi-protein complexes in the postsynaptic density at excitatory synapses [1,2,3,4,5]. DLG2 protein is abundantly expressed throughout the adult rodent brain, including in the cortex, hippocampus, striatum, and cerebellum [2, 3].

Despite its prominent expression in the cerebellum, Dlg2 deletion in mice does not alter the development or synaptic function of parallel fibers in the cerebellum or motor coordination [6]. On the other hand, a DLG2 deficiency in the hippocampus leads to reduced synaptic long-term potentiation (LTP) [7], which contrasts with the effects of a deficiency of DLG4 (also known as PSD-95) that enhances LTP in the mouse hippocampus [7, 8]. These previous findings suggest that the roles of DLG2 in synaptic connectivity may vary in different brain regions.

It has been established that genetic variations in DLG2 are associated with neurodevelopmental disorders, including schizophrenia [9,10,11,12,13] and intellectual disability [14]. For example, de novo loss-of-function mutations in DLG2 have been repeatedly found in schizophrenia patients [11, 13]. In addition, genetic variants of DLG2 are known to be associated with altered volumes of the putamen in schizophrenia patients [15]. Disruption of multiple genes, including DLG2, owing to rare copy number variations (CNVs) is associated with schizophrenia [10]. On the other hand, the involvement of DLG2 in autism spectrum disorder (ASD) has not been extensively studied. A DLG2 CNV mutation has been previously found in one ASD patient [16]. Recently, a study using large-scale whole-genome sequencing identified the recurrent deletions in the promotor region of DLG2 gene that were significantly associated with ASD, suggesting that such variations in its non-coding regulatory region may play a role in ASD [17]. In addition, studies using mice lacking exon 9 of the Dlg2 gene have shown that DLG2 plays a role in controlling complex learning and cognitive flexibility [18] and direct social interactions [19]. Nevertheless, the mechanisms that link DLG2-associated mutations to autism-relevant behavioral abnormalities have remained elusive.

In the present study, using a distinct Dlg2-mutant mouse line lacking exon 14 of the Dlg2 gene, we investigated whether a DLG2 deficiency might cause abnormalities in ASD-related behaviors. We found that Dlg2 deletion leads to aberrant locomotor responses, decreased social approach, and increased repetitive behaviors and that DLG2 plays an important role in excitatory synaptic transmission in spiny projection neurons of the dorsolateral striatum. These findings provide clues regarding the mechanisms underlying DLG2-associated neurodevelopmental disorders.

Methods

Animals

Mice carrying a deletion of exon 14 of the Dlg2 gene flanked by LoxP sites were designed and generated by EUCOMM and EMMA, respectively. The LacZ-Neo cassette was eliminated by crossing these mice with protamine-Flp mice. LacZ-Neo cassette-deleted Dlg2flox/+ mice were crossed with protamine-Cre mice, and the resulting mice were then crossed with wild-type (WT) mice to introduce the Dlg2Δ14 allele. Global Dlg2Δ14/Δ14 mice were obtained by heterozygous mating (Dlg2Δ14/+ x Dlg2Δ14/+). Mice used in this study were maintained in a C57BL/6J genetic background for more than five generations. All mice were bred and maintained at the mouse facility of Korea Advanced Institute of Science and Technology (KAIST), and all experimental procedures were approved by the Committee of Animal Research at KAIST (KA2016-28). All animals were fed ad libitum and housed under a 12-h light/dark cycle (light phase from 1:00 a.m. to 1:00 p.m.). Conventional knockout mice were genotyped by polymerase chain reaction (PCR) using the following primers: WT allele (312 bp), 5′-CCA GAA TGT AC TTC AGC ACC A -3′ (forward) and 5′-TCG TGGTATCGTTATGCGCC-3′ (reverse); and mutant allele (527 bp), 5′-GCC AAG ACT TTT AGA GAC AGC C-3′ (forward) and 5′-AAG CAG GCA ATT CAC ACC AC-3′ (reverse). Only male adult mice were used for behavioral, electrophysiological, and biochemical experiments.

Brain lysates and western blot

The brains from 3-month-old wild-type, Dlg2Δ14/+, Dlg2Δ14/Δ14 mice (hereafter Dlg2+/– and Dlg2–/– mice, respectively) were extracted and homogenized with ice-cold homogenization buffer (0.32 M sucrose, 10 mM HEPES, pH 7.4, 2 mM EDTA, pH 8.0, 2 mM EGTA, pH 8.0, protease inhibitors, phosphatase inhibitors). Whole brain lysates were prepared by boiling with β-mercaptoethanol directly after homogenization. Total brain lysates separated in electrophoresis and transferred to a nitrocellulose membrane were incubated with primary antibodies to DLG2/PSD-93 (#1634, rabbit, as previously described [20]), DLG4/PSD-95 (Neuromab 75-028), and α-tubulin (Sigma T5168) at 4 °C overnight. Fluorescent secondary antibody signals were detected using Odyssey® Fc Dual Mode Imaging System.

In situ hybridization

Mouse brain sections (14 μm thick) at embryonic day (E18) and postnatal days (P0, P7, P14, P21, and P56) were prepared using a cryostat (Leica CM 1950). Hybridization probe specific for mouse Dlg2 mRNA was prepared using the following regions: nt 1116–1369 of Dlg2 (NM_011807.3). Antisense riboprobe was generated using 35S-uridine triphosphate (UTP) and the Riboprobe System (Promega). For quantification, 15 of sampling areas (233,000 μm2) were randomly selected within a region of interest including the cortex, striatum, and cerebellum. The mean gray intensity of each region was measured using the ImageJ Fiji software [21]. Data were pooled from both sagittal and horizontal brain sections of two mice per each time point.

Behavioral assays

Three-month-old male mice were used for behavioral tests. A behavioral battery was performed for all four cohorts (#1–4) with the exception of home-cage activity monitoring (cohort #1 including their heterozygous knockout littermates) and additional assays for measures of sociability (direct interaction test, cohort #4) and repetitive behavior (self-grooming test, cohorts #3 and #4). Cohorts for those additional assays were selected without prior knowledge of other behavioral phenotypes. Although the homozygous knockout mice (Dlg2-/-) were mainly focused to address the consequence of a DLG2 deficiency, locomotion and self-grooming behavior of the heterozygous knockout mice (Dlg2+/-) were also measured to confirm the absence of distinctive behavioral phenotypes (Table S3). Data were pooled from all cohorts that underwent the tests performed in the following order: home-cage activity monitoring, open-field test, light/dark test, elevated plus maze test, three-chamber test, direct interaction test, and self-grooming test. Subject mice were provided at least 24-h–long rest periods between tests. Animals were handled for 10 min per day for up to 5 days prior to beginning the battery of behavioral assays so as to reduce potential stress and anxiety that might be caused by an experimenter. On each day of a behavioral test, all animals were habituated to a dark room under conditions identical to those of the testing room for 30 min before starting the test. Behavioral assays were performed and analyzed by an experimenter blinded to group-identifying information. Data were analyzed using EthoVision XT 10 (Noldus), unless indicated otherwise.

Home-cage activity monitoring

The Laboratory Animal Behavioral Observation Registration and Analysis System (LABORAS, Metris) was used for long-term monitoring of mouse movements in LABORAS cages, conditions very similar to those of home cages [22]. Mice were individually placed in a single cage within the system, and their activities were recorded for 72 consecutive hours. Locomotion and self-grooming were automatically analyzed as previously described [23, 24].

Open-field test

Subject mice were individually placed in a white acryl box (40 × 40 × 40 cm) and video-recorded for 60 min. Light intensity was set to 120 lx. The “center” region was defined as the area of a 20 × 20 cm2 in the middle of the arena.

Light/dark box test

The apparatus consists of two separate chambers (light, 21 × 29 × 20 cm, a white acryl box with no lid on top for video recording; dark, 21 × 13 × 20 cm, a black acryl box with a lid on top) as previously described [23, 25]. The light chamber was illuminated at 180 lx. The time spent in each chamber was measured and analyzed automatically.

Elevated plus-maze test

Animals were placed in the center region of a plus-arm maze with two open (5 × 30 × 0.5 cm) and closed (5 × 30 × 30 cm, no lid on top for recording) arms. The maze was elevated to a height of 75 cm from the floor. Light intensity in the room was 150 lx. Time spent in open or closed arms and total distance moved were automatically measured.

Self-grooming test

A subject mouse was placed in a fresh home cage without bedding, as previously described [26], and video-recorded for 30 min. The first 20 min constituted a habituation period, and self-grooming behavior was measured during the last 10 min. Self-grooming behavior was defined as a sequential activity composed of stroking and licking, as previously described [24].

Three-chamber test

Social approach and social novelty recognition were assessed using the three-chamber test [27, 28], as described previously [23, 24]. Light intensity in the test room was 40 lx. Briefly, mice were isolated for 3 days prior to the experiment. The apparatus (60 × 40 × 20 cm) consists of three compartments; two side chambers have small containers for either a stranger mouse or a novel object. Three phases constituted one session. First (“habituation”), a subject mouse was placed in the apparatus, with the small containers in both compartments left empty, and then the mouse was allowed to freely roam in all chambers for 10 min. Second (S1-O phase), stranger mouse 1 (S1; 129/SvJae strain) was placed in the container in one side chamber, and a novel object was placed in the container in the other side chamber; S1 and O side were randomly assigned. The subject mouse was then allowed to freely move around the apparatus for 10 min. Third (S1-S2), social preference towards a new stranger (S2; 129/SvJae strain) over a “familiar” mouse (S1) was assessed by replacing the object with S2 and recording exploration of targets by the mouse for an additional 10 min. All stranger mice were age-matched with subjects.

Dyadic social interaction

A gray Plexiglas box (30 × 30 × 30 cm) was used to measure social interaction between mouse pairs, as previously described [24, 25]. Light intensity in the testing chamber was 40 lx. Briefly, on day 1, each mouse was habituated to the testing conditions by allowing it to freely move around the box for 20 min. On day 2, a subject mouse was paired with an unfamiliar mouse (age-matched, male, 129/SvJae strain), and the mouse pairs were simultaneously placed in the testing box at diagonally opposite corners. Mouse behaviors were video-recorded for 5 min. The time spent in direct social contacts, including nose-to-nose contact, nose-to-tail contact, allo-grooming, and other body contacts, was measured as previously described [27] and analyzed by an experimenter blinded to group-identifying information.

Electrophysiology

Acute coronal brain slices for the dorsolateral striatum were obtained following the protective recovery method [29]. In brief, mice at 2 months were anesthetized with an intraperitoneal injection of a ketamine-xylazine cocktail, followed by transcardial perfusion of a protective buffer (NMDG aCSF) at room temperature consisting of, in mM: 100 NMDG, 12 NAC, 30 NaHCO3, 20 HEPES, 25 glucose, 2 thiourea, 5 Na-ascorbate, 3 Na-pyruvate, 2.5 KCl, 1.25 NaH2PO4, 0.5 CaCl2, and 10 MgSO4. Mouse brains were extracted and sectioned (300 μm) in NMDG aCSF buffer at room temperature bubbled with 95% O2 and 5% CO2 gases using Leica VT 1200. And then, the resulting brain slices transferred to a 32 °C holding chamber containing NMDG aCSF for 11 min. After the incubation, the slices were transferred and recovered over 1 h in a chamber at ambient room temperature containing a recovery buffer consisting of, in mM: 92 NaCl2, 12 NAC, 30 NaHCO3, 20 HEPES, 25 glucose, 2 thiourea, 5 Na-ascorbate, 3 Na-pyruvate, 2.5 KCl, 1.25 NaH2PO4, 2.5 CaCl2, and 1.3 MgCl2 oxygenated with 95% O2 and 5% CO2 gases. During all recordings, brain slices were maintained in a submerge-type recording chamber perfused with 27.5 – 28.5 °C aCSF (2 ml min−1) (in mM: 124 NaCl, 25 NaHCO3, 10 glucose, 2.5 KCl, 1 NaH2PO4, 2.5 CaCl2, and 1.3 MgSO4 oxygenated with 95% O2 and 5% CO2 gases). Recording glass pipettes from borosilicate glass capillaries (Harvard Apparatus) were pulled using an electrode puller (Narishige). All electric responses were amplified and filtered at 2 kHz (Multiclamp 700B, Molecular Devices) and then digitized at 10 kHz (Digidata 1550, Molecular Devices). For whole-cell patch recordings in dorsolateral striatum, a recording pipette (2.5–3.5 MΩ) was filled with the internal solution (in mM: 100 CsMeSO4, 10 TEA-Cl, 8 NaCl, 10 HEPES, 5 QX-314-Cl, 2 Mg-ATP, 0.3 Na-GTP, and 10 EGTA with pH 7.25, 295 mOsm for sEPSCs; 115 CsCl2, 10 EGTA, 8 NaCl, 10 TEACl, 10 HEPES, 4 Mg-ATP, 0.3 Na-GTP, and 5 QX-314 with pH 7.35, 295 mOsm for sIPSC). To measure sEPSCs, and sIPSCs, dorsolateral MSN neurons were voltage-clamped at − 70 mV. For sEPSCs and sIPSCs, picrotoxin (60 μM) and NBQX (10 μM) + APV (50 μM) without TTX were added, respectively. Responses were recorded for 2 min after maintaining stable baseline for 5 min.

Statistical analysis

Statistical analyses were performed using GraphPad Prism 7. For analysis of western blotting data, one-way analysis of variance (ANOVA) was used for assessing DLG4 expression. Data from LABORAS home-cage activity monitoring and open-field tests were analyzed by repeated measures of ANOVAs for the effects of genotype and genotype × time interactions. Post hoc analyses were performed using Sidak’s test as warranted by significant genotype × time interactions. Other data were analyzed for two-group comparisons using either Student’s t test for normally distributed data, as determined by the D’Agostino and Pearson test, or by non-parametric Mann-Whitney test for non-normally distributed data. Multiple group comparisons were performed for the data of in situ hybridization and home-cage activity measures with the heterozygous knockout mice using one-way ANOVA with post hoc Sidak’s test for normally distributed data or Kruskal-Wallis test with Dunn’s multiple comparisons if the normality of data was not warranted. All statistical details, including information on sample size, descriptive statistics, normality test results, and t, F, U, W, or Z values, are summarized in Tables S1 and S2. Differences were considered significant at p values < 0.05. Results are presented as means ± SE.

Results

A DLG2 deficiency does not affect DLG4/PSD-95 protein expression

To investigate DLG2 functions in mice, we deleted exon 14 of the Dlg2 gene by crossing Dlg2fl/fl mice with protamine-Cre mice and crossbreeding the resulting Dlg2+/– mice (Fig. 1a). The genotypes of Dlg2+/– and Dlg2–/– mice were confirmed by PCR (Fig. 1b). Both DLG2/PSD-93 and DLG4/PSD-95 are members of the MAGUK family that play important roles as scaffolding proteins at excitatory synapses. It has been previously reported that DLG4/PSD-95–deficient mice have increased levels of DLG2 expression, implying potential compensatory responses [19]. After first confirming knockout of DLG2 protein upon deletion of exon 14 of the Dlg2 gene (Fig. 1c), we investigated possible issues associated with functional redundancy [3] by assessing DLG4 expression. DLG4 protein levels were unchanged in Dlg2+/– and Dlg2–/– mice compared with WT mice (1.08 ± 0.27-fold and 1.11 ± 0.20-fold for Dlg2+/– and Dlg2–/–, respectively, relative to WT levels; one-way ANOVA, F(2, 9) = 0.07, p = 0.93).

Fig. 1
figure 1

Generation and characterization of DLG2 mutant mice. aDlg2 knockout (KO) strategy. b PCR genotyping of Dlg2+/– and Dlg2–/– mice. c DLG2 protein levels in whole brain lysates of Dlg2+/– and Dlg2–/– mice, determined by immunoblot analysis. There was no significant change (see text for details of quantitative data) in the expression levels of DLG4/PSD-95 protein in whole brain lysates of Dlg2+/– or Dlg2–/– mice

Dlg2–/– mice show aberrant locomotor responses to novelty

Previous studies have reported decreased open-field locomotion of DLG2- and DLG4-deficient mice [19, 30]. To investigate whether this abnormal-locomotion phenotype is replicated in Dlg2–/– mice lacking exon 14, we tested locomotor traits in two different settings: home cage and open-field arena (Fig. 2). Monitoring of animals for 72 h in LABORAS cages (home-cage environment) revealed no difference in the total amount of locomotion (Fig. 2a, b; see Table S3 for measures in Dlg2+/– mice), consistent with previous findings from the aforementioned studies using mice lacking Dlg2 exon 9 [19]. In contrast, we found that Dlg2–/– mice showed significantly less exploratory behavior in the open-field test arena than WT animals (Fig. 2c). These results suggest that mutations in the Dlg2 gene cause aberrant motor responses in a novel environment, such as a brightly lit open arena, but not in a home-cage setting.

Fig. 2
figure 2

Dlg2–/– mice display novelty-induced hypoactivity and moderately increased anxiety-like behavior. a, b In the home-cage–like setting of the LABORAS system, there was no difference in overall locomotion between genotypes, with no main effect of genotype. However, there was a significant interaction effect of time × genotype (“Interaction”), revealing heightened locomotion in Dlg2–/– mice compared to WT mice at 58 h. WT, n = 10; Dlg2–/–, n = 7; repeated measures of two-way ANOVA. c In the open-field test, Dlg2–/– mice showed significantly decreased locomotion compared to WT animals throughout the test duration. Repeated measures two-way ANOVA. In open-field arena and light/dark box tests, Dlg2–/– mice spent significantly less time in the center region of the open-field arena (d) and in the lighted box (e) compared with WT mice. Mann-Whitney test. f In the elevated plus-maze, there was no difference between genotypes in the time spent in open versus closed arms. WT, n = 24; Dlg2–/–, n = 23 for cf. *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001; ns, not significant; two-way ANOVA

With the decreased exploration, Dlg2–/– mice spent less time in the center region of the open-field arena (Fig. 2d). Furthermore, Dlg2–/– mice showed a significantly decreased duration of exploring in the light chamber of the light/dark box test (Fig. 2e), a behavioral test commonly used to measure the level of anxiety in rodents [31]. However, there was no difference in exploration between Dlg2–/– and WT mice in the elevated plus-maze test (Fig. 2f). Collectively, given that such behavioral measures of anxiety in rodents greatly depend on the locomotion of a subject [31], these results with normal locomotion in the home-cage setting suggest that Dlg2–/– mice exhibit context-dependent aberrant locomotor responses to novelty.

Social approach and interaction are reduced in Dlg2–/– mice

Given that aberrant sociability is one of the key ASD-related phenotypes in mouse models of ASD, we tested whether Dlg2 deletion affects social behaviors. These tests sought to assess three aspects: social approach, social novelty recognition, and direct interaction. In the three-chamber test, used to assess social approach, Dlg2–/– mice spent a significantly increased amount of time sniffing a social stimulus (“S”) over a novel object, implying a preference toward a social stimulus over a novel object (‘O’; Fig. 3a). However, the preference index, S-O, calculated as %[(time spent sniffing S − time spent in O)/total time spent (S + O)], used for group comparisons of the extent of the preference, was significantly decreased (Fig. 3b), as previously described [25, 32]. Note that the decrease was found to be statistically significant, either with or without an outlier (see Table S1 for details). On the other hand, there was no group difference in approach preference toward social novelty (S1-S2 preference index, %[(time spent sniffing S2 − time spent in S1)/total time spent (S2 + S1)]), indicating that Dlg2–/– mice did not have overt abnormalities in recognizing a novel social stimulus over a familiar one or approaching the social novelty (Fig. 3c, d). Additionally, when allowed to freely engage in direct interaction with a wild-type novel mouse of a different strain, the mutant mice tended to spend less time in direct interaction than WT animals (Fig. 3e). These findings suggest that a DLG2 deficiency alters the extent of social approach and direct social interaction, without significantly affecting social novelty recognition.

Fig. 3
figure 3

Dlg2–/– mice display decreased social approach but normal social novelty recognition. a Both WT and Dlg2–/– mice spent more time sniffing an age-matched stranger mouse (S) than a novel object (O). b The preference index (S-O) of Dlg2–/– mice, which was calculated for group comparisons as %[(time spent in sniffing S − time spent in O)/total time spent (S + O) × 100], was significantly decreased compared to that of WT. n = 22 mice per genotype. c, d There was no difference between groups in the social novelty test, as shown by the time spent sniffing a novel stranger mouse (S2) and a familiar mouse (S1). The preference index for the S1-S2 phase was not significantly different between groups. n = 22 mice per genotype. eDlg2–/– mice tended to spend less time interacting with an age-matched stranger (WT, 129/SvJae) than with WT mice in the test arena, where mice were allowed to freely explore and interact each other. WT, n = 5; Dlg2–/–, n = 6. Wilcoxon matched-pairs signed rank tests were used for a and c. Mann-Whitney tests were used for b, d, and e. *p < 0.05; **p < 0.01; ****p < 0.0001; ns, not significant

A DLG2 deficiency leads to increased self-grooming behavior

Increased self-grooming in rodents is a commonly assessed indicator of repetitive behavior that is believed to model behavioral perseveration in ASD [26]. Indeed, various studies have shown that increased self-grooming is one of the key behavioral traits in animal models of ASD [33,34,35]. To determine whether DLG2 is associated with repetitive behavior, we measured the level of self-grooming in home cages with a long-term monitoring system (LABORAS system) or in an empty cage without bedding (test setting; see Methods for details). Self-grooming was significantly increased in Dlg2–/– mice compared with WT mice (Fig. 4). Quantitative increases in self-grooming included both cumulative duration (Fig. 4a, c) and the number of bouts (Fig. 4b, d). Note that the heterozygous knockout (Dlg2+/-) mice showed moderate increases in the self-grooming duration and no differences in the bouts compared to WT mice (Table S3). While locomotor activity in Dlg2–/– mice varied with the type of setting (Fig. 1), self-grooming was consistently increased in either setting (Fig. 4e). Notably, increases in self-grooming behavior measured in the home cage persisted regardless of lights-on or -off conditions (Fig. 4c, d), implying that the mutant mice have a sleep disturbance, as is commonly observed in ASD patients [36, 37]. These results suggest that a DLG2 deficiency is associated with increased repetitive behavior.

Fig. 4
figure 4

Dlg2–/– mice display increased self-grooming behavior. Monitoring of behavior in LABORAS cages (home-cage activity) for 72 h showed that both the duration (a) and number (b) of bouts of self-grooming were significantly increased in Dlg2–/– mice compared with WT animals. c, d Increased duration and number of bouts of self-grooming in Dlg2–/– mice were found regardless of light on or off conditions, resulting in significant increases in total duration and number of bouts of self-grooming. WT, n = 10; Dlg2–/–, n = 7. e Measurement of self-grooming behavior in an empty cage without bedding for 10 min showed that Dlg2–/– mice also exhibited a significantly increased duration of self-grooming in this different setting. WT, n = 11; Dlg2–/–, n = 12. Repeated measures of ANOVA was used for a and b, with post hoc Sidak’s multiple comparisons test applied under conditions where there was a significant effect of interaction (noted in a and b). Mann-Whitney tests were used for ce. *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001

Excitatory synaptic transmission is decreased in dorsal striatal spiny projection neurons of Dlg2–/– mice

Increased repetitive behaviors, deficits in social interaction, and aberrant locomotor responses are known to be linked to synaptic dysfunction in the dorsal striatum [38,39,40]. Since we found that Dlg2–/– mice exhibit increased self-grooming, decreased locomotion in a bright arena, and decreased sociability, we hypothesized that a DLG2 deficiency affects synaptic function in the dorsal striatum. We first confirmed expression of DLG2 in the dorsal striatum of the mouse brain. It should be noted that, during early development, DLG2 is highly expressed in the putamen of the human brain [41], the region homologous to the dorsal striatum in mice. In situ hybridization analyses revealed that Dlg2 mRNA levels were elevated up to postnatal day 7 (P7) in the WT mouse brain (Fig. 5a, also in Fig.S1), implying prominent Dlg2 expression at early stages of brain development, similar to the case in the human brain.

Fig. 5
figure 5

Excitatory synaptic transmission is decreased in dorsal striatal SPNs of Dlg2–/– mice. aDlg2 mRNA levels in the mouse brain during development, revealed by in situ hybridization of horizontal sections. Caudate putamen (striatum) regions are delineated by dotted lines on each section. Dlg2 mRNA expression was increased during early development until P7 (see Fig. S1). b Illustration of the dorsolateral striatum region where electrophysiological recordings were made. c, d Representative electrophysiological traces showing spontaneous excitatory postsynaptic currents (sEPSCs, c) and spontaneous inhibitory postsynaptic currents (sIPSCs, d) recorded in spiny projection neurons (SPNs) of the dorsolateral striatum of WT versus Dlg2–/– mice. e The frequency, but not the amplitude, of sEPSCs was significantly decreased in SPNs of Dlg2–/– mice compared with that in WT mice (n = 15 neurons from three WT mice and n = 12 neurons from three Dlg2–/– mice). f Similar frequency and amplitude of sIPSCs in the dorsolateral striatum of Dlg2–/– mice were found. (n = 17 neurons from three WT and n = 13 neurons from three Dlg2–/– mice). **p < 0.01; ns, not significant. Student’s t tests were used for e and f

We then investigated the physiological ramifications of a DLG2 deficiency in the dorsolateral striatum of adult mice (Fig. 5b). Spontaneous excitatory postsynaptic currents (sEPSCs) and spontaneous inhibitory postsynaptic currents (sIPSCs) of spiny projection neurons (SPNs), the output cell type in the striatum, were measured in the presence of network activity that was enabled by excluding tetrodotoxin, which blocks action potential firing, from brain slice preparations used for recording. The frequency, but not amplitude, of sEPSCs was significantly decreased in dorsolateral striatal SPNs of Dlg2–/– mice compared with those from WT animals (Fig. 5c, e). In contrast, neither the frequency nor amplitude of inhibitory synaptic transmission in the dorsolateral striatum was affected by a DLG2 deficiency (Fig. 5d, f). These results indicate that genetic deletion of Dlg2 exon 14 leads to reduced excitatory synaptic inputs onto SPNs, without significantly affecting the AMPA receptor function in the dorsolateral striatum of mice.

Discussion

Previous studies have highlighted a close association between mutations in Dlg2 and schizophrenia [9,10,11,12,13]. Here, we present results indicating that a DLG2 deficiency induces autism-related behavioral phenotypes, including aberrant locomotor responses to novelty, decreased social approach, and significantly increased repetitive behavior. Furthermore, Dlg2 knockout in mice resulted in reduced excitatory synaptic inputs onto SPNs, the output cell type of the striatum. Given that the striatum is known to be related to locomotor, social, and repetitive behaviors [26, 39, 40], we suggest that DLG2 gene disruption can lead to dysfunctional synaptic inputs in the striatum and relevant behavioral abnormalities.

Aberrant striatal circuits have been implicated in neurodevelopmental disorders, including schizophrenia [42, 43], obsessive-compulsive disorder [38, 44], and autism spectrum disorders [45,46,47]. Interestingly, emerging evidence supports the involvement of DLG2 in striatal development in the human brain. During mid-fetal development in humans, DLG2 is highly expressed in the striatum [41]. Mutations in DLG2 alter the volume of the putamen, a part of the dorsal striatum in humans [48]. In patients with schizophrenia, genetic variants of DLG2 are linked to aberrant structural features of the putamen [15]. Based on the notable abundance of Dlg2 mRNA expression in the mouse striatum at early developmental stages (from embryonic day 18 up to the first week of postnatal development, Fig. 5a and Fig. S1), it seems reasonable to postulate that a DLG2 deficiency influences striatal circuit development. Notably, the intrinsic excitability of SPNs is enhanced until the first week of postnatal development in rodents and starts decreasing from P10 [49, 50]. Furthermore, SPN maturation is tightly regulated by inward rectifier potassium (Kir) channels [50, 51]. Since DLG2 interacts directly with Kir channels [3, 52], it may play a role in shaping the functional maturation of SPNs during a critical period of striatal circuit development. Further investigation of the mechanisms by which Dlg2 mutations affect the activity of Kir channels with respect to regulation of the excitability of SPNs and striatal maturation is warranted.

Self-grooming in rodents involves a complex patterned sequence of motor activities. Increased self-grooming behavior in rodents is thought to represent pathological repetitive behavior (i.e., behavioral perseveration), which is one of the core symptoms of ASD [26]. Accordingly, animal models that display increased self-grooming behavior have been used to investigate the mechanisms underlying ASD symptoms [53,54,55]. It is well known that repetitive self-grooming behavior in rodents is strongly associated with dysfunction of the striatum [38, 40]. Aberrant connectivity related to the striatum is also thought to be a major culprit in the repetitive behavior of humans with ASD [45,46,47]. It should be noted that Dlg2 knockout induced a significant increase in self-grooming behavior during home-cage activity monitoring, even in “light-on” periods (Fig. 4), when rodents normally sleep. This implies that these mutant mice might have disrupted sleep patterns. Sleep problems commonly occur not only in patients with ASD [36, 37], but also in those with movement disorders such as Parkinson’s disease [56, 57]. Although control of sleep is intricately regulated by numerous brain regions and their complex connectivity [58], emerging evidence supports the conclusion that striatal circuits are highly associated with sleep. For example, the effect of sleep on motor sequence learning is related to the neural activity of the striatum [59]. Firing patterns of striatal SPNs changes in accordance with the sleep-wake cycle [60]. Notably, genes relevant to sleep control are dysregulated in the striatum of several mice models of Parkinson’s disease [61]. Given that NMDA receptor activity regulates sleep rhythm [62] and DLG2 directly interacts with NMDA receptors [3], it seems possible that DLG2 is involved in the regulation of sleep. Nevertheless, what type of sleep problems Dlg2-/- mice have, how the reduced excitatory synaptic transmission of striatal SPNs affects sleep disturbance, or even whether the sleep problems result in synaptic dysfunction of SPNs and repetitive behavior remain unclear.

Since the initial cloning and characterization of DLG2 under the name Chapsyn-110 [3], several studies have used DLG2-deficient mice in which exon 9 of the Dlg2 gene is deleted (Dlg2ΔE9/ΔE9) to investigate the role of DLG2 in synaptic transmission in the cerebellum and hippocampus as well as in the control of several behavioral traits [6, 7, 18, 19]. Here, we used mice with a targeted deletion of exon 14 (Fig. 1). Similar to findings obtained using Dlg2ΔE9/ΔE9 mice, we found aberrations in locomotion that depended on the test setting (home-cage vs. open-field arena) in these mutant mice. However, we found mild decreases in the sociability of these mutant mice, as measured by both three-chamber and direct social interaction tests, whereas Winkler and colleagues [19] reported that Dlg2ΔE9/ΔE9 mice exhibit hypersociability, as measured by the direct interaction test. While it is conceivable that deletion of different exons generates mixed results in sociability, as has been found among different Shank3 models of ASD [63, 64], differences in testing conditions for direct social interactions might contribute to the discrepancy. For instance, the strangers used in the present study were naïve wild-type mice of a different strain, 129/SvJae, whereas the aforementioned study used mice of the same strain and genotype as stranger mice [19]. It should be noted that the level of sociability substantially varies with mouse strain [28, 65], and the strain of a stranger mouse can influence social behaviors of a subject mouse [66]. Furthermore, the light intensity in the testing room was much lower in the present study (40 lx) than in the previous study (130 lx [19]; note that we used 120 lx for open-field tests). We designed the direct interaction test with the goal of creating an encounter with a stranger with heightened novelty (i.e., a strain with different colored fur) and a consistent level of sociability for direct comparisons between groups (i.e., a wild-type mouse as an interactor for both genotypes), while ruling out other potentially stressful factors, such as bright light. Given that Dlg2-knockout mice in the present study displayed context-dependent abnormalities in locomotion and anxiety-like behaviors (Fig. 2), differences in the extent of strangers’ novelty and light intensity during tests might lead to discrepant results.

Interestingly, DLG2-deficient mice consistently exhibited a normal level of locomotion in a home-cage setting but showed significantly reduced locomotor activity in open and bright arenas. This reduced locomotor activity was accompanied by decreased time spent exploring the center region of the open-field arena (120 lx) and the lighted chamber (180 lx) in the light/dark box test, corroborating the strong tendency of Dlg2-/- mice to avoid novel, open, and bright areas. These results can be partly explained by the role of the striatum in locomotor responses to novel or aversive stimuli. In a recent study, mice lacking the oxytocin receptor, a well-known animal model that displays autistic-like behaviors exhibited impaired approach to novelty in association with altered expression of excitatory synaptic markers in the dorsolateral striatum, but not the hippocampus [67]. Low novelty-seeking and high harm-avoidance behaviors are tightly associated with altered striatal connectivity to the limbic and frontal cortical regions [68]. Furthermore, a subset of dopaminergic neurons projecting in the striatum is involved in reinforcing the avoidance of threatening stimuli [69]. Given that excitatory synaptic inputs onto SPNs in the dorsolateral striatum play a crucial role in initial processing for action selection [45], the presence of such a strong form of avoidance in the mutant mice would seem to substantiate dysfunction of striatal circuitry.

The decreased frequency but not altered amplitude of sEPSCs recorded in striatal SPNs of Dlg2-/- mice indicates that a DLG2 deficiency resulted in reduced excitatory synaptic inputs without much affecting the AMPA receptor function in SPNs. This brings up important questions about the causation of it. Striatal SPNs are receiving excitatory synaptic inputs mainly from the cortex and thalamus [45]. It is well known that the corticostriatal projection plays an important role in the regulation of repetitive behavior, as previously found in the studies using animal models of obsessive-compulsive disorder [70] and ASD [47, 71]. Given that the expression levels of Dlg2 mRNA are abundant not only in the striatum but also the cortex during early development (Fig. 5a and Fig. S1), dysfunction of the corticostriatal circuitry might account for the decreased synaptic inputs onto SPNs in Dlg2-/- mice. On the other hand, emerging evidence has corroborated the importance of the thalamic projections onto SPNs in the dorsal striatum in controlling repetitive and habitual behaviors involving a motor sequence [72, 73]. Therefore, we cannot rule out the possibility that deficits in the thalamostriatal circuitry might in part contribute to the reduced excitatory synaptic inputs onto SPNs and the enhanced repetitive behavior of the mutant mice. In addition to the afferent projections from distal regions, changes in striatal local circuitry might be one of the culprits as well, given the essential role of the complex interactions among various types of neurons in the regulation of synaptic transmission in SPNs [74]. For example, nicotinic acetylcholine receptors that are abundantly expressed on cholinergic synapses tightly control glutamatergic synaptic inputs onto SPNs in the dorsal striatum [75]. Based on the previous finding that DLG2 regulates the stability of cholinergic synapses [76], the decreased frequency of sEPSCs in SPNs might have resulted from altered intrastriatal circuitry via dysfunction of the cholinergic system owing to a DLG2 deficiency. Further studies are required to fully dissect the mechanisms by which DLG2 gene disruption results in the reduced excitatory synaptic inputs onto striatal SPNs and how it is related to behavioral aberration.

Limitations

As noted above, we focused on the dorsolateral striatum primarily based on the striatum-related behavioral traits and the association of DLG2 with the putamen development in the human brain. Although this focus reflected our view of the brain region with the most plausible connection to behavioral phenotypes observed in the mutant mice, it does not rule out the possible involvement of other brain regions. It should also be noted that we have demonstrated that a DLG2 deficiency is associated with striatal synaptic aberrations and behavioral abnormalities, but this does not necessarily mean that such altered synaptic transmission in the striatum is causative. Furthermore, because the present study was designed to address the question of whether a DLG2 deficiency in mice is linked to the manifestation of ASD behavioral symptoms, we employed a homozygous knockout model. In addition to the findings of the present study, future studies using animal models of specific mutations or dysregulation of DLG2 identified in patients will provide further translationally relevant evidence supporting efforts to understand the pathological mechanisms underlying ASD.

Conclusions

In the present study, we present results indicating that genetic disruption of Dlg2, which has been mainly regarded as a schizophrenia-susceptibility gene, leads to abnormalities in ASD-relevant behavioral realms, such as sociability and repetitive behavior. While DLG4/PSD-95 has been extensively studied with respect to its association with neurodevelopmental disorders, the results of the present study suggest a potential role for DLG2/PSD-93 in ASD as well. Furthermore, a DLG2 deficiency resulted in reduced excitatory synaptic inputs onto SPNs in the dorsolateral striatum. While the hippocampus and cerebellum have been the main focus in terms of the role of DLG2 in synaptic transmission, the present study revealed a role for DLG2 in striatal synaptic transmission. Given that DLG2 is highly abundant in the striatum during early development in both human and mouse brains, these findings provide clues that may help elucidate the involvement of DLG2 in neurodevelopmental disorders, including ASD, potentially through its influence on striatal circuits.

Availability of data and materials

All data generated or analyzed during this study are included in this published article and additional files.

Abbreviations

AMPA:

α-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid

ASD:

Autism spectrum disorders

CNV:

Copy number variation

DLG2:

Discs large MAGUK scaffold protein 2

DLG4:

Discs large MAGUK scaffold protein 4

Kir channels:

Inward rectifier potassium channels

KO:

Knockout

mRNA:

Messenger ribonucleic acid

NMDA:

N-methyl-D-aspartate receptor

PSD-93:

Postsynaptic density protein-93

PSD-95:

Postsynaptic density protein-95

sEPSC:

Spontaneous excitatory postsynaptic current

sIPSC:

Spontaneous inhibitory postsynaptic current

SPN:

Spiny projection neuron

WT:

Wild-type

References

  1. Scannevin RH, Huganir RL. Postsynaptic organization and regulation of excitatory synapses. Nat Rev Neurosci. 2000;1(2):133–41.

    Article  CAS  PubMed  Google Scholar 

  2. Brenman JE, Christopherson KS, Craven SE, McGee AW, Bredt DS. Cloning and characterization of postsynaptic density 93, a nitric oxide synthase interacting protein. J Neurosci. 1996;16(23):7407–15.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Kim E, Cho KO, Rothschild A, Sheng M. Heteromultimerization and NMDA receptor-clustering activity of chapsyn-110, a member of the PSD-95 family of proteins. Neuron. 1996;17(1):103–13.

    Article  CAS  PubMed  Google Scholar 

  4. Chen X, Levy JM, Hou A, Winters C, Azzam R, Sousa AA, et al. PSD-95 family MAGUKs are essential for anchoring AMPA and NMDA receptor complexes at the postsynaptic density. Proc Natl Acad Sci U S A. 2015;112(50):E6983–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Nada S, Shima T, Yanai H, Husi H, Grant SG, Okada M, et al. Identification of PSD-93 as a substrate for the Src family tyrosine kinase Fyn. J Biol Chem. 2003;278(48):47610–21.

    Article  CAS  PubMed  Google Scholar 

  6. McGee AW, Topinka JR, Hashimoto K, Petralia RS, Kakizawa S, Kauer FW, et al. PSD-93 knock-out mice reveal that neuronal MAGUKs are not required for development or function of parallel fiber synapses in cerebellum. J Neurosci. 2001;21(9):3085–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Carlisle HJ, Fink AE, Grant SG, O'Dell TJ. Opposing effects of PSD-93 and PSD-95 on long-term potentiation and spike timing-dependent plasticity. J Physiol. 2008;586(24):5885–900.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Migaud M, Charlesworth P, Dempster M, Webster LC, Watabe AM, Makhinson M, et al. Enhanced long-term potentiation and impaired learning in mice with mutant postsynaptic density-95 protein. Nature. 1998;396(6710):433–9.

    Article  CAS  PubMed  Google Scholar 

  9. Kristiansen LV, Beneyto M, Haroutunian V, Meador-Woodruff JH. Changes in NMDA receptor subunits and interacting PSD proteins in dorsolateral prefrontal and anterior cingulate cortex indicate abnormal regional expression in schizophrenia. Mol Psychiatry. 2006;11(8):737–47 05.

    Article  CAS  PubMed  Google Scholar 

  10. Walsh T, McClellan JM, McCarthy SE, Addington AM, Pierce SB, Cooper GM, et al. Rare structural variants disrupt multiple genes in neurodevelopmental pathways in schizophrenia. Science. 2008;320(5875):539–43.

    Article  CAS  PubMed  Google Scholar 

  11. Kirov G, Pocklington AJ, Holmans P, Ivanov D, Ikeda M, Ruderfer D, et al. De novo CNV analysis implicates specific abnormalities of postsynaptic signalling complexes in the pathogenesis of schizophrenia. Mol Psychiatry. 2012;17(2):142–53.

    Article  CAS  PubMed  Google Scholar 

  12. Ingason A, Giegling I, Hartmann AM, Genius J, Konte B, Friedl M, et al. Expression analysis in a rat psychosis model identifies novel candidate genes validated in a large case-control sample of schizophrenia. Transl Psychiatry. 2015;5:e656.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Fromer M, Pocklington AJ, Kavanagh DH, Williams HJ, Dwyer S, Gormley P, et al. De novo mutations in schizophrenia implicate synaptic networks. Nature. 2014;506(7487):179–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Reggiani C, Coppens S, Sekhara T, Dimov I, Pichon B, Lufin N, et al. Novel promoters and coding first exons in DLG2 linked to developmental disorders and intellectual disability. Genome Med. 2017;9(1):67.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Smeland OB, Wang Y, Frei O, Li W, Hibar DP, Franke B, et al. Genetic overlap between schizophrenia and volumes of hippocampus, putamen, and intracranial volume indicates shared molecular genetic mechanisms. Schizophr Bull. 2018;44(4):854–64.

    Article  PubMed  Google Scholar 

  16. Egger G, Roetzer KM, Noor A, Lionel AC, Mahmood H, Schwarzbraun T, et al. Identification of risk genes for autism spectrum disorder through copy number variation analysis in Austrian families. Neurogenetics. 2014;15(2):117–27.

    Article  CAS  PubMed  Google Scholar 

  17. Ruzzo EK, Perez-Cano L, Jung JY, Wang LK, Kashef-Haghighi D, Hartl C, et al. Inherited and de novo genetic risk for autism impacts shared networks. Cell. 2019;178(4):850–66 e26.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Nithianantharajah J, Komiyama NH, McKechanie A, Johnstone M, Blackwood DH, St Clair D, et al. Synaptic scaffold evolution generated components of vertebrate cognitive complexity. Nat Neurosci. 2013;16(1):16–24.

    Article  CAS  PubMed  Google Scholar 

  19. Winkler D, Daher F, Wustefeld L, Hammerschmidt K, Poggi G, Seelbach A, et al. Hypersocial behavior and biological redundancy in mice with reduced expression of PSD95 or PSD93. Behav Brain Res. 2018;352:35–45.

    Article  CAS  PubMed  Google Scholar 

  20. Ha S, Lee D, Cho YS, Chung C, Yoo YE, Kim J, et al. Cerebellar Shank2 regulates excitatory synapse density, motor coordination, and specific repetitive and anxiety-like behaviors. J Neurosci. 2016;36(48):12129–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012;9(7):676–82.

    Article  CAS  PubMed  Google Scholar 

  22. Quinn LP, Stean TO, Trail B, Duxon MS, Stratton SC, Billinton A, et al. LABORAS: initial pharmacological validation of a system allowing continuous monitoring of laboratory rodent behaviour. Journal of neuroscience methods. 2003;130(1):83–92.

    Article  CAS  PubMed  Google Scholar 

  23. Jung H, Park H, Choi Y, Kang H, Lee E, Kweon H, et al. Sexually dimorphic behavior, neuronal activity, and gene expression in Chd8-mutant mice. Nat Neurosci. 2018;21(9):1218–28.

    Article  CAS  PubMed  Google Scholar 

  24. Yoo T, Cho H, Lee J, Park H, Yoo YE, Yang E, et al. GABA neuronal deletion of Shank3 exons 14-16 in mice suppresses striatal excitatory synaptic input and induces social and locomotor abnormalities. Front Cell Neurosci. 2018;12:341.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Yook C, Kim K, Kim D, Kang H, Kim SG, Kim E, et al. A TBR1-K228E mutation induces Tbr1 upregulation, altered cortical distribution of interneurons, increased inhibitory synaptic transmission, and autistic-like behavioral deficits in mice. Front Mol Neurosci. 2019;12:241.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Kalueff AV, Stewart AM, Song C, Berridge KC, Graybiel AM, Fentress JC. Neurobiology of rodent self-grooming and its value for translational neuroscience. Nat Rev Neurosci. 2016;17(1):45–59.

    Article  CAS  PubMed  Google Scholar 

  27. Silverman JL, Yang M, Lord C, Crawley JN. Behavioural phenotyping assays for mouse models of autism. Nature reviews Neuroscience. 2010;11(7):490–502.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Moy SS, Nadler JJ, Perez A, Barbaro RP, Johns JM, Magnuson TR, et al. Sociability and preference for social novelty in five inbred strains: an approach to assess autistic-like behavior in mice. Genes Brain Behav. 2004;3(5):287–302.

    Article  CAS  PubMed  Google Scholar 

  29. Ting JT, Daigle TL, Chen Q, Feng G. Acute brain slice methods for adult and aging animals: application of targeted patch clamp analysis and optogenetics. Methods Mol Biol. 2014;1183:221–42.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. Feyder M, Karlsson RM, Mathur P, Lyman M, Bock R, Momenan R, et al. Association of mouse Dlg4 (PSD-95) gene deletion and human DLG4 gene variation with phenotypes relevant to autism spectrum disorders and Williams' syndrome. Am J Psychiatry. 2010;167(12):1508–17.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Kulesskaya N, Voikar V. Assessment of mouse anxiety-like behavior in the light-dark box and open-field arena: role of equipment and procedure. Physiol Behav. 2014;133:30–8.

    Article  CAS  PubMed  Google Scholar 

  32. Chung C, Ha S, Kang H, Lee J, Um SM, Yan H, et al. Early correction of N-methyl-D-aspartate receptor function improves autistic-like social behaviors in adult shank2(-/-) mice. Biol Psychiatry. 2019;85(7):534–43.

    Article  CAS  PubMed  Google Scholar 

  33. Schmeisser MJ, Ey E, Wegener S, Bockmann J, Stempel AV, Kuebler A, et al. Autistic-like behaviours and hyperactivity in mice lacking ProSAP1/Shank2. Nature. 2012;486(7402):256–60.

    Article  CAS  PubMed  Google Scholar 

  34. Reynolds S, Urruela M, Devine DP. Effects of environmental enrichment on repetitive behaviors in the BTBR T+tf/J mouse model of autism. Autism Res. 2013;6(5):337–43.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Won H, Lee HR, Gee HY, Mah W, Kim JI, Lee J, et al. Autistic-like social behaviour in Shank2-mutant mice improved by restoring NMDA receptor function. Nature. 2012;486(7402):261–5.

    Article  CAS  PubMed  Google Scholar 

  36. Krakowiak P, Goodlin-Jones B, Hertz-Picciotto I, Croen LA, Hansen RL. Sleep problems in children with autism spectrum disorders, developmental delays, and typical development: a population-based study. J Sleep Res. 2008;17(2):197–206.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Ballester P, Martinez MJ, Javaloyes A, Inda MD, Fernandez N, Gazquez P, et al. Sleep problems in adults with autism spectrum disorder and intellectual disability. Autism Res. 2019;12(1):66–79.

    Article  PubMed  Google Scholar 

  38. Burguiere E, Monteiro P, Mallet L, Feng G, Graybiel AM. Striatal circuits, habits, and implications for obsessive-compulsive disorder. Curr Opin Neurobiol. 2015;30:59–65.

    Article  CAS  PubMed  Google Scholar 

  39. Baez-Mendoza R, Schultz W. The role of the striatum in social behavior. Front Neurosci. 2013;7:233.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Graybiel AM, Grafton ST. The striatum: where skills and habits meet. Cold Spring Harb Perspect Biol. 2015;7(8):a021691.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  41. Kang HJ, Kawasawa YI, Cheng F, Zhu Y, Xu X, Li M, et al. Spatio-temporal transcriptome of the human brain. Nature. 2011;478(7370):483–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Chuhma N, Mingote S, Kalmbach A, Yetnikoff L, Rayport S. Heterogeneity in dopamine neuron synaptic actions across the striatum and its relevance for schizophrenia. Biol Psychiatry. 2017;81(1):43–51.

    Article  CAS  PubMed  Google Scholar 

  43. McCutcheon RA, Abi-Dargham A, Howes OD. Schizophrenia, dopamine and the striatum: from biology to symptoms. Trends Neurosci. 2019;42(3):205–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Piantadosi SC, Chamberlain BL. Glausier JR. Lewis DA: Ahmari SE. Lower excitatory synaptic gene expression in orbitofrontal cortex and striatum in an initial study of subjects with obsessive compulsive disorder. Mol Psychiatry; 2019.

    Google Scholar 

  45. Fuccillo MV. Striatal circuits as a common node for autism pathophysiology. Front Neurosci. 2016;10:27.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Hollander E, Anagnostou E, Chaplin W, Esposito K, Haznedar MM, Licalzi E, et al. Striatal volume on magnetic resonance imaging and repetitive behaviors in autism. Biol Psychiatry. 2005;58(3):226–32.

    Article  PubMed  Google Scholar 

  47. Li W, Pozzo-Miller L. Dysfunction of the corticostriatal pathway in autism spectrum disorders. J Neurosci Res. 2019.

  48. Hibar DP, Stein JL, Renteria ME, Arias-Vasquez A, Desrivieres S, Jahanshad N, et al. Common genetic variants influence human subcortical brain structures. Nature. 2015;520(7546):224–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Gertler TS, Chan CS, Surmeier DJ. Dichotomous anatomical properties of adult striatal medium spiny neurons. J Neurosci. 2008;28(43):10814–24.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Lieberman OJ, McGuirt AF, Mosharov EV, Pigulevskiy I, Hobson BD, Choi S, et al. Dopamine triggers the maturation of striatal spiny projection neuron excitability during a critical period. Neuron. 2018;99(3):540–54 e4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Cazorla M, Shegda M, Ramesh B, Harrison NL, Kellendonk C. Striatal D2 receptors regulate dendritic morphology of medium spiny neurons via Kir2 channels. J Neurosci. 2012;32(7):2398–409.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Leonoudakis D, Conti LR, Anderson S, Radeke CM, McGuire LM, Adams ME, et al. Protein trafficking and anchoring complexes revealed by proteomic analysis of inward rectifier potassium channel (Kir2.x)-associated proteins. J Biol Chem. 2004;279(21):22331–46.

    Article  CAS  PubMed  Google Scholar 

  53. Silverman JL, Tolu SS, Barkan CL, Crawley JN. Repetitive self-grooming behavior in the BTBR mouse model of autism is blocked by the mGluR5 antagonist MPEP. Neuropsychopharmacology. 2010;35(4):976–89.

    Article  CAS  PubMed  Google Scholar 

  54. Yoo T, Cho H, Park H, Lee J, Kim E. Shank3 exons 14-16 Deletion in glutamatergic neurons leads to social and repetitive behavioral deficits associated with increased cortical layer 2/3 neuronal excitability. Front Cell Neurosci. 2019;13:458.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Yoo YE, Yoo T, Lee S, Lee J, Kim D, Han HM, et al. Shank3 mice carrying the human Q321R mutation display enhanced self-grooming, abnormal electroencephalogram patterns, and suppressed neuronal excitability and seizure susceptibility. Front Mol Neurosci. 2019;12:155.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Boeve BF. Idiopathic REM sleep behaviour disorder in the development of Parkinson’s disease. Lancet Neurol. 2013;12(5):469-482.

  57. Mehta SH, Morgan JC, Sethi KD. Sleep disorders associated with Parkinson’s disease: role of dopamine, epidemiology, and clinical scales of assessment. CNS Spectr. 2008;13(3 Suppl 4):6–11.

    Article  PubMed  Google Scholar 

  58. Weber F, Dan Y. Circuit-based interrogation of sleep control. Nature. 2016;538(7623):51–9.

    Article  CAS  PubMed  Google Scholar 

  59. Debas K, Carrier J, Orban P, Barakat M, Lungu O, Vandewalle G, et al. Brain plasticity related to the consolidation of motor sequence learning and motor adaptation. Proc Natl Acad Sci U S A. 2010;107(41):17839–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Mahon S, Vautrelle N, Pezard L, Slaght SJ, Deniau JM, Chouvet G, et al. Distinct patterns of striatal medium spiny neuron activity during the natural sleep-wake cycle. J Neurosci. 2006;26(48):12587–95.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Jiang P, Scarpa JR, Gao VD, Vitaterna MH, Kasarskis A, Turek FW. Parkinson’s disease is associated with dysregulations of a dopamine-modulated gene network relevant to sleep and affective neurobehaviors in the striatum. Sci Rep. 2019;9(1):4808.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  62. Burgdorf JS, Vitaterna MH, Olker CJ, Song EJ, Christian EP, Sorensen L, et al. NMDAR activation regulates the daily rhythms of sleep and mood. Sleep. 2019;42(10).

  63. Balaan C, Corley MJ, Eulalio T, Leite-Ahyo K, Pang APS, Fang R, et al. Juvenile Shank3b deficient mice present with behavioral phenotype relevant to autism spectrum disorder. Behav Brain Res. 2019;356:137–47.

    Article  CAS  PubMed  Google Scholar 

  64. Lee J, Chung C, Ha S, Lee D, Kim DY, Kim H, et al. Shank3-mutant mice lacking exon 9 show altered excitation/inhibition balance, enhanced rearing, and spatial memory deficit. Front Cell Neurosci. 2015;9:94.

    PubMed  PubMed Central  Google Scholar 

  65. Abramov U, Puussaar T, Raud S, Kurrikoff K, Vasar E. Behavioural differences between C57BL/6 and 129S6/SvEv strains are reinforced by environmental enrichment. Neurosci Lett. 2008;443(3):223–7.

    Article  CAS  PubMed  Google Scholar 

  66. Ryan K, Thompson L, Mendoza PA, Chadman KK. Inbred strain preference in the BTBR T(+) Itpr3(tf) /J mouse model of autism spectrum disorder: does the stranger mouse matter in social approach? Autism Res. 2019;12(8):1184–91.

    Article  PubMed  Google Scholar 

  67. Leonzino M, Ponzoni L, Braida D, Gigliucci V, Busnelli M, Ceresini I, et al. Impaired approach to novelty and striatal alterations in the oxytocin receptor deficient mouse model of autism. Horm Behav. 2019;114:104543.

    Article  CAS  PubMed  Google Scholar 

  68. Ishii T, Sawamoto N, Tabu H, Kawashima H, Okada T, Togashi K, et al. Altered striatal circuits underlie characteristic personality traits in Parkinson’s disease. J Neurol. 2016;263(9):1828–39.

    Article  PubMed  Google Scholar 

  69. Menegas W, Akiti K, Amo R, Uchida N, Watabe-Uchida M. Dopamine neurons projecting to the posterior striatum reinforce avoidance of threatening stimuli. Nat Neurosci. 2018;21(10):1421–30.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Welch JM, Lu J, Rodriguiz RM, Trotta NC, Peca J, Ding JD, et al. Cortico-striatal synaptic defects and OCD-like behaviours in Sapap3-mutant mice. Nature. 2007;448(7156):894–900.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  71. Peca J, Feliciano C, Ting JT, Wang W, Wells MF, Venkatraman TN, et al. Shank3 mutant mice display autistic-like behaviours and striatal dysfunction. Nature. 2011;472(7344):437–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  72. Diaz-Hernandez E, Contreras-Lopez R, Sanchez-Fuentes A, Rodriguez-Sibrian L, Ramirez-Jarquin JO, Tecuapetla F. The thalamostriatal projections contribute to the initiation and execution of a sequence of movements. Neuron. 2018;100(3):739–52 e5.

    Article  CAS  PubMed  Google Scholar 

  73. Alloway KD, Smith JB, Mowery TM, Watson GDR. Sensory processing in the dorsolateral striatum: the contribution of thalamostriatal pathways. Front Syst Neurosci. 2017;11:53.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Burke DA, Rotstein HG, Alvarez VA. Striatal local circuitry: a new framework for lateral inhibition. Neuron. 2017;96(2):267–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Licheri V, Lagstrom O, Lotfi A, Patton MH, Wigstrom H, Mathur B, et al. Complex control of striatal neurotransmission by nicotinic acetylcholine receptors via excitatory inputs onto medium spiny neurons. J Neurosci. 2018;38(29):6597–607.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  76. Parker MJ, Zhao S, Bredt DS, Sanes JR, Feng G. PSD93 regulates synaptic stability at neuronal cholinergic synapses. J Neurosci. 2004;24(2):378–88.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Funding

This research was supported by the Institute for Basic Science (IBS-R002-D1) to EK, the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT of the Korea government (2020R1C1C1014779) to SYK, and 2019 Yeungnam University Research Grant to SYK.

Author information

Authors and Affiliations

Authors

Contributions

EK and SYK conceived the project and designed experiments. EK supervised the study. TY performed western blotting and electrophysiological recordings. SGK initiated the project. SHY performed in situ hybridization analysis under HK’s supervision. SYK performed behavioral experiments. TY and SYK analyzed data and interpreted results. EK and SYK wrote and edited the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Soo Young Kim.

Ethics declarations

Ethics approval

The use of mice was approved by and performed in accordance with the committee of animal research at KAIST (KA2016-28).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1: Table S1

. A full list of detailed information about statistics used for behavioral experiments presented in Figs. 2, 3,4. Table S2. The statistics used for analyses of electrophysiological recording and in situ hybridization quantification. Both tables include the number of animals, variables for comparisons, statistics used, normality test results, and notes regarding identified outliers. Table S3. The measures of locomotion and self-grooming behavior of the heterozygous knockout (Dlg2+/-) mice. Kruskal-Wallis tests were used for multiple comparisons including the heterozygous group.

Additional file 2: Figure S1.

(A) In situ hybridization of sagittal sections reveals Dlg2 mRNA levels in the mouse brain at embryonic day 18 (E18), postnatal day 0, 7, 14, 21, and 56 (P0, P7, P14, P21, and P56, respectively). Striatum regions are delineated by dotted lines on each section. The scale bar is 5 mm. (B) The Dlg2 mRNA expression was found to vary with developmental stages. Note that the mRNA levels are notably heightened until P7 and relatively low throughout the brain in adults. n=15 of two mice at each time point. Based on the normality of data, one-way ANOVA with Sidak’s multiple comparisons for the cortex and Kruskal-Wallis test with Dunn’s multiple comparisons for the striatum and cerebellum were used. ns, not significant, **p < 0.01, ***p<0.001, ****p<0.0001 vs. adult (P56).

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yoo, T., Kim, SG., Yang, S.H. et al. A DLG2 deficiency in mice leads to reduced sociability and increased repetitive behavior accompanied by aberrant synaptic transmission in the dorsal striatum. Molecular Autism 11, 19 (2020). https://0-doi-org.brum.beds.ac.uk/10.1186/s13229-020-00324-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s13229-020-00324-7

Keywords