Abstract
In most mammals, including humans, the postnatal acquisition of normal social and nonsocial behavior critically depends on interactions with peers. Here we explore the possibility that mixed-group housing of mice carrying a deletion of Nlgn3, a gene associated with autism spectrum disorders, and their wild-type littermates induces changes in each other’s behavior. We have found that, when raised together, male Nlgn3 knockout mice and their wild-type littermates displayed deficits in sociability. Moreover, social submission in adult male Nlgn3 knockout mice correlated with an increase in their anxiety. Re-expression of Nlgn3 in parvalbumin-expressing cells in transgenic animals rescued their social behavior and alleviated the phenotype of their wild-type littermates, further indicating that the social behavior of Nlgn3 knockout mice has a direct and measurable impact on wild-type animals’ behavior. Finally, we showed that, unlike male mice, female mice lacking Nlgn3 were insensitive to their peers’ behavior but modified the social behavior of their littermates. Altogether, our findings show that the environment is a critical factor in the development of behavioral phenotypes in transgenic and wild-type mice. In addition, these results reveal that the social environment has a sexually dimorphic effect on the behavior of mice lacking Nlgn3, being more influential in males than females.
Significance Statement
Several studies have shown that the behavior and physiology of socially dominant mice differs from that of socially submissive mice. Despite this knowledge, no study has so far addressed the influence of group inequality, and in particular social hierarchy, on behavioral and Physiological measures obtained in mouse models of autism spectrum disorders and their wild-type littermates. In this study, we used a mouse model lacking the Nlgn3 gene and demonstrated that, indeed, transgenic mice and their wild-type littermates can modify each other’s behavior. These observations could profoundly affect experiments using mouse models of psychiatric disorders, as they suggest that the use of wild-type littermate mice as controls may lead to misinterpretation of results.
Introduction
In the majority of mammalian species, social groups are not egalitarian but organized in social hierarchies that can influence individuals’ behavior and stress. For example, in despotic hierarchies, the dominant individuals are more anxious than the submissive ones, whereas the contrary is found when the dominance is maintained through intimidation (Sapolsky, 2005). Inbred laboratory mice establish highly stable social hierarchies maintained through intimidation from the dominant male to the submissive males (Wang et al., 2011). Because of laboratory housing conditions, intimidations from dominant mice cannot be avoided, meaning that male dominance behavior is likely to raise anxiety levels in submissive individuals (Sapolsky, 2005). Indeed, studies show that social hierarchy can be a stressor for submissive animals and increase their motoric activity (Van Loo et al., 2003; Vargas-Pérez et al., 2009). Social rank also affects animals’ physiology; for example, socially submissive animals show decreased mRNA expression levels of corticotropin-releasing hormone receptor 2 and estrogen receptor α in the brain (Greenberg et al., 2014). Although mouse social hierarchies have only been well characterized in adult male laboratory mice (Wang et al., 2011), the potential existence of social hierarchies in groups of young or female laboratory mice cannot be excluded (Schuhr, 1987; Vom Saal et al., 1995; Garner et al., 2016).
Many mouse models for autism spectrum disorders (ASD) show social behavior defects and traits associated with social submission (Wang et al., 2011), namely courtship vocalization and territorial defects (Spencer et al., 2005; Kazdoba et al., 2016). The effect of social submission on phenotypes associated with ASD remains elusive but has been shown to influence courtship vocalization behavior of mice with a 16p11.2 microdeletion, a model for ASD (Yang et al., 2015a). Social environment can also have a positive impact on the phenotype of mouse models for ASD and rescue their sociability deficits (Yang et al., 2011). Although the effect of the social environment on phenotypes in mouse models for ASD is starting to be understood, the impact on the behavior of peers within the social housing group remains largely unknown. We speculated that rearing mouse models for ASD with nondeficient wild-type littermates might be sufficient to cause measurable behavioral and physiologic changes in all mice within the social environment.
Many genetic mouse models related to so-called syndromic forms of ASD display complex sets of phenotypes (Kazdoba et al., 2014; Portmann et al., 2014) not all directly related to autism. To minimize complexity, we have used a model of nonsyndromic ASD in which mice lack the X-linked gene Nlgn3, coding for the postsynaptic adhesion protein Neuroligin-3 exclusively expressed in the brain (Tanaka et al., 2010; Baudouin et al., 2012). In humans, NLGN3 deletion is associated with nonsyndromic ASD (Jamain et al., 2003; Ylisaukko-oja et al., 2005; Levy et al., 2011; Sanders et al., 2011; C Yuen et al., 2017). The deletion of Nlgn3 in mice leads to distinct measurable phenotypes, including social behavior and courtship deficits (Radyushkin et al., 2009; Fischer and Hammerschmidt, 2011; Baudouin et al., 2012; Rothwell et al., 2014). Moreover, behavioral phenotypes in Nlgn3y/– are mediated by deficits in the balance between excitation and inhibition in the striatum and long-term depression in the cerebellum (Baudouin et al., 2012; Rothwell et al., 2014; Zhang et al., 2015). Here, we show that male mice lacking Nlgn3 are socially submissive to their wild-type littermates and that this social submission correlates with increased anxiety in Nlgn3 knockout mice. We find that the behavior of male and female mice lacking Nlgn3 modifies the social behavior of their littermates. Importantly, we show that re-expression of Nlgn3 in parvalbumin-expressing interneurons in Nlgn3y/– mice rescues their social submission phenotype and the corresponding effect on the wild-type littermates, thus confirming that the behavior of mutant mice is causing the social behavior phenotype in their wild-type littermates.
Materials and Methods
Animals
All animal husbandry and experiments were performed in compliance with the UK Animals (Scientific Procedures) Act 1986, as amended, and in accordance with the Cardiff University animal care committee’s regulations. Mice containing a stop cassette flanked by loxP sites in the promoter region lacking Nlgn3 expression (Nlgn3y/– #RBRC05451; Tanaka et al., 2010) and mice expressing Cre recombinase under the Pvalb endogenous promoter in Pvalb-expressing cells (PvalbCre/Cre mice JAX:017320; Hippenmeyer et al., 2005) were backcrossed to a C57Bl/6 background for at least eight generations. Male and female mice were separated at weaning but housed only with their own littermates. For a summary of the breeding schemes, refer to Fig. 1. Breeding between Nlgn3+/– mice and Nlgn3y /+ mice produced 50% Nlgn3y/+ and 50% Nlgn3y/ – mice. We therefore obtained litters that contained both Nlgn3y/+ and Nlgn3y/ – mice [referred to as mixed genotype housing (MGH)] and, at a lower frequency, litters in which males were all of the same genotype, Nlgn3y/+ or Nlgn3y/ – mice [referred to as single genotype housing (SGH)]. Importantly, mice from SGH only ever encountered mice of the same genotype. Nlgn3+/– mice were crossed with Nlgn3y/+ Pvalbcre/cre mice to generate litters containing Nlgn3y/+ Pvalbcre/+ and Nlgn3y/–Pvalbcre/+ mice (Figs. 2–6). Nlgn3+/– mice were crossed with Nlgn3y/– males to generate litters containing Nlgn3–/– mice in MGH, and Nlgn3–/– mice were crossed with Nlgn3y/– males to generate litters containing Nlgn3–/– mice in SGH (Fig. 5). Nlgn3+/– mice were crossed with Nlgn3y /+ male mice to generate litters containing Nlgn3+/ + and Nlgn3+/–H-WT mice, and Nlgn3+/– mice were crossed with Nlgn3y/– males to generate litters containing Nlgn3+/–H-KO and Nlgn3–/– mice (Fig. 7). Sires were separated from pregnant dams, and mice were weaned at postnatal day 30 (P30) to avoid the potential confounds associated with weaning on mice tested at P21–P28.
Mice were kept on a 12-h light/dark cycle with free access to food and water. All behavior was assessed during the light cycle. Experiments in adult mice were conducted when mice were 2–4 mo old (Figs. 2–4, 6, and 7) and in young mice at P21–P28 (Fig. 5). To minimize anxiety associated with human handling, all mice were well handled before testing (Hurst and West, 2010). On the testing day, mice were habituated for 30 min to the testing room and handled with minimal restraint to reduce anxiety (Hurst and West, 2010). Tests were conducted over several days always in the following order: activity, marble burying, interest in social odors tests, courtship vocalization, and tube test. Note that all mice did not undergo testing in all tasks (refer to Statistical analysis).
Interaction with females and ultrasonic vocalization
Before experiments, vaginal smears were stained with modified Giemsa solution (fixative and blue/azure dye) to determine the stage of estrus cycle (Caligioni, 2009). Test male mice were first habituated for 3 min to the arena. Subsequently, an unfamiliar female mouse in estrous was added to the same arena for 3 min. An experimenter blind to genotype manually scored interaction times. Interaction was recorded when mice were within 2 cm of each other. Ultrasonic vocalizations were recorded using an UltraSoundGate 416H preamplifier connected UltraSoundGate CM16 microphone (Aviosft Bioacoustics) and quantified automatically using SASLabPro software (Aviosft Bioacoustics). As previously described (Holy and Guo, 2005), events within the frequency range 30–200 Hz and longer than 5 ms were quantified, and the time spent calling was measured.
Tube test
Social dominance within cages was assessed using the tube test apparatus (Noldus). This consists of a smooth transparent acrylic tube (length, 30 cm; internal diameter, 3.5 cm) with automated doors at both entrances and in the center. All mice were habituated to the tube for at least 10 min/d over at least 4 d. On testing days, mice were placed at opposite ends of the tube and released to enter the tube. When mice reached the center of the tube, the middle door opened and mice were challenged to push their opponent out of the tube. The mouse pushed out of the tube was declared the submissive mouse of that trial. To determine the cage hierarchy, mice from each cage were tested in pairs in a round-robin design, ensuring that all pairings of mice had been tested. The sides of entry for the mice were alternated to avoid bias. The test was repeated three times every 5 d, and the hierarchy on the third testing day was quantified. For testing using unfamiliar mice, we identified submissive C57Bl/6 mice using tube and ultrasonic vocalization tests before testing, and each test mouse encountered three different submissive mice. The percentage of wins, (number of wins)/(total number of encounter) × 100, was quantified.
Spontaneous activity and elevated plus maze
Spontaneous activity of mice was recorded in a 40 × 20-cm open field (OF) arena for 20 min in the dark using an infrared video camera. EthoVision XT tracking software (Noldus) was used to measure the distance traveled in the OF (average centimeters traveled per second) and the normalized distance traveled in the center of the arena (5 cm from the wall), expressed as (distance traveled in the center of the OF)/(total distance traveled in the OF). For spontaneous activity over 30 h, mice were individually housed in clear cages (40 × 24 × 18 cm) with free access to food and water and maintained on their standard light/dark cycle. Three infrared beams passed the bottom part of the cage. Total beam breaks were recorded over 33 h, the first 3 h corresponding to a phase of habituation to the cages and the next 30 h to the testing phase. For the elevated plus maze (EPM), mice were placed for 5 min in a maze composed of four perpendicular 40-cm arms, two opposite arms with high walls, and two other opposite arms without walls. The exploration of the EPM was recorded by a computer-linked video camera located above the arena, and the time spent in the open arms was quantified using EthoVision XT.
Interest in social odors
Social odors originated from two cages of three C57Bl/6 male mice with different parental origins, maintained for 6 d with the same home cage bedding to allow for a concentration of odorants. Before the test, swabs were wiped in a zigzag pattern across the bottom surface of the cage to collect the olfactory cues. Mice were acclimatized for 30 min to the presence of a cotton swab before testing. For the experiment presented in Fig. 4A, the following odors were presented in sequence: water, water, banana, banana, and social odor. During the 2-min exploration periods, the time spent sniffing the swab on the first exposure to each odor was recorded manually. For the experiment presented in Fig. 4B, a swab containing a social odor and a swab without odor were presented in two identical cups placed in opposite corners of the open field. Mice were able to be in direct contact with the odors, and exploration behavior was recorded over 4 min. The time spent in proximity to the social odor (<10 cm from the swab) was quantified using tracking software.
Marble burying
Mice were placed in individual cages (28 × 17 cm) that each contained 20 marbles arranged in rows of four, on top of 4-cm-deep bedding, to allow burying behavior. The room used was dimly lit, with equal light distribution for all mice in the trial. In the days before testing, mice were habituated to the test cage for 30 min. On test days, mice were left for 30 min in the test cage containing the marbles. Marbles were manually counted and defined as buried when >50% of the marble was hidden. For quantification, experimenters were blind to the genotype.
Testosterone dosage
Urine was collected from the mice immediately after bladder voiding and frozen instantly on dry ice. The urine was then stored at –20°C until testosterone quantification. Testosterone was quantified using ELISA in accordance with manufacturer instructions (Arbor Assays).
RNA isolation and quantitative real-time PCR
Total RNA from liver was isolated with TRIzol reagent (Thermo Fisher Scientific) and purified using the RNeasy kit (Qiagen). cDNA was synthesized using Superscript III (Thermo Fisher Scientific). Quantitative real-time PCR analysis was performed using Fast SYBR green Master Mix (Thermo Fisher Scientific) on a real-time PCR System (Thermo Fisher Scientific). Relative expression levels were determined by normalization to 18S rRNA expression using the comparative ΔΔCT method. Primers used were Cyp2d9 forward, 5′-AGTCTCTGGCTTAATTCCTGAT-3′, Cyp2d9 reverse, 5′-CGCAAGAGTATCGGGAATGC-3′, 18S forward, 5′-GTCTGTGATGCCCTTAGATG-3′, and 18S reverse′ 5′-AGCTTATGACCCGCACTTAC-3′.
Western blot
Brain regions were dissected from adult mice after death and immediately frozen in liquid nitrogen. A volume of 100 ml lysis buffer was added to 10 mg tissue [50 mm Tris-HCl, 1 mm EDTA, 0.1% sodium dodecyl sulfate, 150 mm NaCl, 1% Triton X-100, 10 mm NaF, 1 mm NaVO4, 1 mm dithiothreitol, and complete protease inhibitor (Sigma-Aldrich)]. The amount of protein in each sample was quantified using a bicinchoninic acid protein assay. Samples were then diluted in lithium dodecyl sulfate buffer (106 mm Tris-HCl, 141 mm Tris-base, 2% lithium dodecyl sulfate, 10% glycerol, 0.51 mm EDTA, 0.22 mm G250 Coomassie Blue, 0.175 mm Phenol Red, and 10 mm DTT, pH 8.5), and 25 mg of each sample was loaded onto 4–12% Bis-Tris polyacrylamide gels and transferred onto nitrocellulose membranes. Rabbit monoclonal anti–Neuroligin-3 (Abcam; clone EPR16158) and chicken anti–β-actin (Abcam; clone 2G10) antibodies were used. Signals were detected using horseradish peroxidase and Alexa Fluor 488–conjugated secondary antibodies (Thermo Fisher Scientific). The level of re-expression was quantified as (Neuroligin-3/actin) in Nlgn3y/–PvalbCre/+ mice normalized to (Neuroligin-3/actin) in Nlgn3y/+ mice.
Statistical analysis
Table 1 contains the data structure, type of test used, observed power, and n for each figure. Each test included enough animals to reach a power close to or higher than 0.8. Mice were not systematically tested for all tasks. We designed our test groups to have mice from the different groups tested at the same time. We used GraphPad Prism to systematically test for normality using the D’Agostino–Pearson test and for outliers using the regression and outlier removal (ROUT) method with Q = 1 to ensure that no outliers would modify the outcome and power of the statistical tests. No animals were removed from the analyses. For each experiment, at least three independent litters were analyzed. Pairwise comparisons were analyzed by two-tailed Student’s t test for normally distributed datasets or two-tailed Mann–Whitney test for non–normally distributed datasets. Multiple comparisons were performed using one-way ANOVA for normally distributed datasets or Mann–Whitney test for non–normally distributed datasets, followed by Tukey’s or Dunn’s post hoc tests for multiple comparisons when appropriate. All datasets used for two-way nonrepeated and repeated-measure ANOVAs were normally distributed and, when appropriate, followed by post hoc Sidak’s test. All statistical data are presented as mean ± SEM.
Results
To investigate the role of social hierarchy in the behavior of Nlgn3y/– mice and their wild-type (Nlgn3y/+) littermates, we analyzed the behavior of mice from litters consisting of both genotypes (MGH) in comparison to litters in which male mice were all of the same Nlgn3y/+ genotype (SGH). As previously reported (Radyushkin et al., 2009; Fischer and Hammerschmidt, 2011), Nlgn3y/– mice from MGH emitted fewer ultrasonic vocalizations during courtship in comparison to Nlgn3y/+ from MGH [Nlgn3y/+ 22.2 ± 3.5 s and Nlgn3y/– 9.8 ± 2.8 s, P = 0.007, F(18,16) = 1.49; Fig. 2A]. Additionally, in the tube test, Nlgn3y/– mice from MGH lost more frequently when competing against Nlgn3y/+ mice from MGH (Nlgn3y/+ 72.9% ± 9.8% and Nlgn3y/– 29.4% ± 10.3%; P = 0.0074; Fig. 2B), suggesting that they are socially submissive to their wild-type littermates (Wang et al., 2011). In groups of mice with a stable social hierarchy, there is a correlation between ranking in courtship vocalization and in the tube test (Wang et al., 2011). The dominant mouse vocalizes the most and wins in the tube test, and the most submissive mouse vocalizes the least and is defeated more often in the tube test. An examination of social hierarchy in SGH mice compared with MGH mice revealed a linear correlation between tube test and courtship rankings for mice in SGH but not for mice in MGH (Fig. 2C). In particular, all mice from SGH that won in the tube test were the ones vocalizing the most (SGH 1 and MGH 1.92, P = 0.033; Fig. 2D), indicating a clear social hierarchy. However, only 38% of the mice from MGH that won the tube test were the ones that vocalized the most (Fig. 2D), revealing that a structured social hierarchy had not developed in mice from MGH.
Because of this defect in the development of a social hierarchy in mice from MGH, we compared their territorial and courtship behavior with that of Nlgn3y/+ mice from SGH. In the tube test, unfamiliar submissive male mice more frequently defeated Nlgn3y/– mice from MGH than Nlgn3y/+ and Nlgn3y/– mice from SGH (Nlgn3y/+ SGH 57.9% ± 7.9%, Nlgn3y/– SGH 76.2% ± 6.1%, Nlgn3y/+ MGH 38.1% ± 10.4%, and Nlgn3y/– MGH 18.5% ± 12.6%, P = 0.023; Fig. 3A). Levels of testosterone, a marker of social dominance (Juntti et al., 2010), were also reduced in the urine of Nlgn3y/– and Nlgn3y/+ mice from MGH compared with those of Nlgn3y/+ mice from SGH and unexpectedly not different from levels found in the urine of Nlgn3+/+ mice [Nlgn3y/+ SGH 39,223 ± 4106 µg/ml, Nlgn3y/+ MGH 15,738 ± 3687 µg/ml, Nlgn3y/– MGH 16,736 ± 3779 µg/ml, and Nlgn3+/+ 17,182 ± 3160 µg/ml, main effect P < 0,0001, F(3,32) = 9.85; Fig. 3B]. The time spent calling a female in estrus was similar between Nlgn3y/+ mice from SGH and MGH and increased compared with Nlgn3y/– mice from SGH and MGH [Nlgn3y/+ SGH 13.6 ± 2.7 s, Nlgn3y/– SGH 6.38 ± 3.2 s, Nlgn3y/+ MGH 22.2 ± 3.5 s, and Nlgn3y/– MGH 9.8 ± 2.8 s; main effect, P = 0.014, F(2,52) = 4.62; Fig. 3C]. Note that the expression level of Cyp2d9, a marker of sexual dimorphism in the liver, was not affected by housing (Nlgn3y/+ SGH 1 ± 0.08, Nlgn3y/– SGH 0.88 ± 0.21, Nlgn3y/+ MGH 0.89 ± 0.21, and Nlgn3y/– MGH 1.07 ± 0.09; Fig. 3D), indicating a similar degree of sexual maturation between the different groups of mice. These results demonstrate that social housing modifies the competitive behavior of Nlgn3y/– mice without affecting their courtship behavior.
Because social hierarchy is affected in litters from MGH, we speculated that the social behavior of Nlgn3y/+ and Nlgn3y/– mice from MGH would also be affected, and therefore investigated their interest for social odors. Whereas Nlgn3y/+ mice from SGH spent more time investigating social cues compared with water or banana odors, Nlgn3y/+ mice from MGH spent a similar amount of time investigating social and nonsocial cues, showing an absence of interest for social cues [Nlgn3y/+ SGH: water 1.9 ± 0.6 s, banana 3.1 ± 1.1 s, social 20.6 ± 2.6 s; Nlgn3y/– SGH: water 1.4 ± 0.2 s, banana 4.0 ± 0.9 s, social 17.8 ± 1.9 s; Nlgn3y/+ MGH: water 2.6 ± 1 s, banana 2.8 ± 5.2 s, social 3 ± 2 s; Nlgn3y/– MGH: water 0.7 ± 0.5 s, banana 2 ± 1.3 s, social 8.96 ± 1.9 s; main effect of odor, P = 0.0001, F(2,82) = 57.7; main effect of genotype, P = 0.0006, F(3,41) = 7.0; interaction odor × genotype, P < 0.0001, F(6,82) = 9.7; Fig. 4A]. In addition, Nlgn3y/+ mice from MGH spent a similar amount of time exploring social odors and control presented simultaneously, showing that their social discrimination was also affected [Nlgn3y/+ MGH: social 7 ± 0.7 s, control 8 ± 1.2 s; Nlgn3y/– MGH: social 8 ± 0.8 s, control 6 ± 0.6 s; Nlgn3y/+PvalbCre/+: social 18 ± 6.4 s, control 6.3 ± 1.7 s; Nlgn3y/–PvalbCre/+: social 17.4 ± 3.6 s, control 9.1 ± 2.5 s; main effect of odor, P < 0.0001, F(1110) =15.6; main effect of genotype, P < 0.0001, F(3110) = 10.7; interaction Pvalb × odor, P < 0.0001, F(1.114) = 31.9; Fig. 4B]. Although Nlgn3y/– mice from SGH and Nlgn3y/– from MGH spent more time investigating social cues, Nlgn3y/– mice from SGH spent more time investigating the social odor than Nlgn3y/– mice from MGH. Note that Nlgn3y/– mice from MGH showed more interest in social odor than banana (Fig. 4A) but failed to show a preference for social odors versus control (Fig. 4B). This is most likely due to differences in protocol: Fig. 4A measures the interest for odors and Fig. 4B the ability to discriminate between social and nonsocial cues (see Materials and Methods). These results indicate that MGH affects the interest in social odors of Nlgn3y/+ and Nlgn3y/– mice.
To investigate the causal role of Nlgn3y/– mouse behavior in that of their littermates, we re-expressed Nlgn3 in parvalbumin (Pvalb)-expressing interneurons, known to regulate social behavior in mice (Belforte et al., 2010; Del Pino et al., 2013; Saunders et al., 2013; Billingslea et al., 2014; Ito-Ishida et al., 2015; Wöhr et al., 2015; Zou et al., 2016). After Nlgn3 re-expression in Pvalb-expressing interneurons, we detected Neuroligin-3 in several parts of the brain, including cerebellum (ratio Nlgn3y/–PvalbCre/+ to Nlgn3y/+: ∼0.7), brainstem (∼0.15), striatum (∼0.1), thalamus (∼0.1), and cortex (∼0.04) and failed to detect it in the hippocampus (Fig. 4C). Re-expression of Nlgn3 in Pvalb-expressing interneurons was sufficient to increase the time Nlgn3y/–PvalbCre/+ and Nlgn3y/+PvalbCre/+ mice spent investigating social odors compared with controls (Fig. 4B). In addition, we found that Nlgn3y/–PvalbCre/+ mice won as frequently against submissive wild-type mice but vocalized less than Nlgn3y/+PvalbCre/+ mice (Nlgn3y/+PvalbCre/+ 62.9% ± 11.7%, Nlgn3y/–PvalbCre/+ 62.5% ± 14.7%; Fig. 4D; Nlgn3y/+PvalbCre/+ 23.5 ± 3.3 s, Nlgn3y/–PvalbCre/+ 8.4 ± 5.2 s; P = 0.01; Fig. 4E), indicating that Nlgn3 in Pvalb-expressing interneurons controls the territorial behavior but not courtship behavior in individual mice. To determine whether re-expression of Nlgn3 in Pvalb-expressing cells affects social interaction in Nlgn3y/– and Nlgn3y/+ mice, we exposed mice at P21–P28 to an unfamiliar adult female mouse and measured the amount of time they spent interacting. Nlgn3y/– mice and their Nlgn3y/+ littermates spent less time in social interaction than Nlgn3y/+ and Nlgn3y/– mice from SGH or Nlgn3y/–PvalbCre/+ and Nlgn3y/+PvalbCre/+ mice [Nlgn3y/+ SGH 142.6 ± 6.8 s, Nlgn3y/– SGH 136.6 ± 6.6 s, Nlgn3y/+ MGH 110.3 ± 4.4 s, Nlgn3y/– MGH 111 ± 10.2 s, Nlgn3y/–PvalbCre/+ 131.1 ± 7 s, Nlgn3y/+PvalbCre/+ 142 ± 5.6 s; main effect of housing P < 0.0001, F(2,65) = 11.4; P < 0.001 in Fig. 5A], indicating that re-expression of Nlgn3 in Pvalb-expressing cells rescues the interest in social interaction of Nlgn3y/– and Nlgn3y/+ mice to levels similar to those of mice from SGH. Independently of the housing and re-expression in Pvalb-expressing interneurons, Nlgn3y/– mice traveled greater total distance in the OF than Nlgn3y/+ mice [Nlgn3y/+ SGH 3977 ± 189 cm, Nlgn3y/– SGH 4753 ± 202 cm, Nlgn3y/+ MGH 3796 ± 186 cm, Nlgn3y/– MGH 5299 ± 426 cm, Nlgn3y/–PvalbCre/+ 3683 ± 314 cm, Nlgn3y/+PvalbCre/+ 4856 ± 363 cm; main effect of genotype P = 0.0018, F(1,69) = 10.49; Fig. 5B]. Mice from all genotype and housing groups traveled a similar normalized distance in the center of the OF (Nlgn3y/+ SGH 0.32 ± 0.02 cm, Nlgn3y/– SGH 0.29 ± 0.01 cm, Nlgn3y/+ MGH 0.29 ± 0.01 cm, Nlgn3y/– MGH 0.29 ± 0.01 cm, Nlgn3y/–PvalbCre/+ 0.25 ± 0.02 cm, Nlgn3y/+PvalbCre/+ 0.31 ± 0.02 cm; Fig. 5C). Mice from all genotype and housing groups spent similar amounts of time in the open arms of the EPM (Nlgn3y/+ SGH 71.3 ± 7.5 s, Nlgn3y/– SGH 87.26 ± 9.0 s, Nlgn3y/+ MGH 89.6 ± 9.6 s, Nlgn3y/– MGH 110.5 ± 9.6 s, Nlgn3y/–PvalbCre/+ 95.9 ± 12.1 s, Nlgn3y/+PvalbCre/+ 100.4 ± 12.2 s; Fig. 5D). These results show that Nlgn3y/– and Nlgn3y/+ mice from MGH are not more anxious than mice from SGH. Note that there are no significant differences between the behavior of Nlgn3y/+ mice from SGH or MGH and Nlgn3y/+Pvalb Cre/+ mice (Fig. 4D, E and Fig. 5A–D). This indicates that, consistent with previous reports, the expression of Cre recombinase in parvalbumin-expressing neurons of wild-type animals is not sufficient to produce a phenotype in wild-type male mice (Hippenmeyer et al., 2005). In contrast to Nlgn3y/– mice, female mice from MGH lacking Nlgn3 (Nlgn3–/–) spent a similar amount of time in social contact with Nlgn3–/– mice from SGH (SGH 120 ± 6.6 s and MGH 117.5 ± 9.4 s; Fig. 5E). Nlgn3–/– mice from MGH and from SGH traveled a similar distance in the OF (SGH 6098 ± 379 cm and MGH 5253 ± 338 cm; Fig. 5F), similar normalized distance in the center of the OF (SGH 0.27 ± 0.01 cm and MGH 0.29 ± 0.02 cm; Fig. 5G), and similar amounts of time in the open arms of the EPM (SGH 87.3 ± 9.0 s and MGH 113 ± 9.0 s; Fig. 5H). These results demonstrate that MGH modifies the social behavior of Nlgn3y/+ and Nlgn3y/– mice but not that of Nlgn3–/– mice. Moreover, re-expression of Nlgn3 in Pvalb-expressing interneurons restores social behavior in Nlgn3y/– mice and their wild-type littermates to levels found in mice from SGH, demonstrating that Nlgn3y/– mice modify the social behavior of their littermates.
The social submission of Nlgn3y/– mice could modify their anxiety, so we next examined the effect of social housing conditions on stress related to a novel environment and to burying behavior. To investigate this anxiety, we analyzed the behavior of mice from litters consisting of both genotypes (MGH), in comparison with litters in which male mice were all of the same genotype, Nlgn3y/+ or Nlgn3y/– (SGH). Radyushkin et al. (2009) showed that Nlgn3y/– mice are hyperactive and less stressed than their Nlgn3y/+ littermates. Importantly, Nlgn3y/– mice showed increased activity in the OF, increased exploration of the hole board, and decreased burying behavior but not change in the exploration of the EPM, indicating that only certain aspects of their anxiety were affected (Radyushkin et al., 2009). Consistently, we found that Nlgn3y/– mice from MGH traveled further in the OF compared with Nlgn3y/+ mice from MGH [Nlgn3y/+ SGH 3373 ± 323 cm, Nlgn3y/– SGH 3186 ± 324 cm, Nlgn3y/+ MGH 3521 ± 151 cm, and Nlgn3y/– MGH 4684 ± 285 cm; main effect of housing P = 0.004, F(1,75) = 8.82; interaction housing × genotype P = 0.017, F(1,75) = 5.94; Fig. 6A]. Although housing condition had no effect on Nlgn3y/+ mice, Nlgn3y/– mice from MGH traveled an increased distance in comparison to Nlgn3y/– from SGH (Fig. 6A). However, spontaneous activity (number of beam break) over 30 h (Nlgn3y/+ SGH 9322 ± 1090, Nlgn3y/– SGH 10,979 ± 703, Nlgn3y/+ MGH 10,357 ± 1648 and Nlgn3y/– MGH 11,005 ± 933; Fig. 6B) and increased nocturnal activity (Fig. 6C) did not differ from any other group tested. Increased velocity in an OF can be triggered by an increased motoric drive and by emotional reactivity to the novelty of the environment. The time spent by the wall of the open field (thigmotaxis) is a measure of this anxiety. To correct for the differing distances traveled between groups, we normalized the distance traveled in the center to the total distance traveled by the mice in the OF. Nlgn3y/– mice from SGH showed decreased thigmotaxis compared with Nlgn3y/– from MGH, whereas housing condition had no effect on the thigmotaxis (ratio distance in the center/total distance) of Nlgn3y/+mice [Nlgn3y/+ SGH 0.19 ± 0.01, Nlgn3y/– SGH 0.37 ± 0.04, Nlgn3y/+ MGH 0.26 ± 0.01, and Nlgn3y/– MGH 0.28 ± 0.02; main effect of genotype P < 0.0001, F(1,72) = 22.35; interaction genotype × housing P < 0.0001, F(1,72)= 17.29; Fig. 6D]. In addition, we found that mice from MGH buried more marbles than mice from SGH [Nlgn3y/+ SGH 12.6 ± 1.2, Nlgn3y/– SGH 7.6 ± 1.4, Nlgn3y/+ MGH 14.6 ± 3.9, and Nlgn3y/– MGH 11.4 ± 1.2; main effect of housing P = 0.0407, F(1,43) = 4.45; main effect of genotype P = 0.0044, F(1,43) = 9.06; Fig. 6E]. Increased numbers of buried marbles can be a result of increased anxiety or increased repetitive behavior (Deacon, 2006). Therefore, these results show that mixed genotype housing increases anxiety or compulsive behavior in adult Nlgn3y/– and, to a lesser extent, Nlgn3y/+ mice. These results also show that Nlgn3y/– mice are more reactive to novelty when raised in MGH compared with SGH, indicating that anxiety related to novelty is increased in these mice when raised with wild-type littermates.
We then investigated whether females lacking Nlgn3 would show behavior similar to that of Nlgn3y/– mice and, in particular, influence the behavior of their littermates. Because Nlgn3 is an X-linked gene, we could not naturally obtain littermate cages containing Nlgn3–/– and Nlgn3+/+ mice. Therefore, we investigated the effect of Nlgn3–/– or Nlgn3+/+ mouse behavior on that of Nlgn3+/– littermates. We found that Nlgn3+/– mice raised with Nlgn3+/+ littermates were indistinguishable from Nlgn3+/+ mice in the time spent in contact with an unfamiliar female [Nlgn3+/+ 99.8 ± 8.36 s, Nlgn3+/– WT 114.1 ± 6 s, Nlgn3+/– KO 68 ± 3.8 s, Nlgn3–/– 65.8 ± 6.3 s, P < 0.0001, F(3,33) = 12.5; Fig. 7A], distance traveled in the OF [Nlgn3+/+ 4515 ± 321 cm, Nlgn3+/– WT 4042 ± 206 cm, Nlgn3+/– KO 4398 ± 508 cm, Nlgn3–/– 5870 ± 274 cm, P = 0.0011; Fig. 7B], thigmotaxis [Nlgn3+/+ 0.23 ± 0.02, Nlgn3+/–WT 0.25 ± 0.01, Nlgn3+/– KO 0.24 ± 0.02, Nlgn3–/– 0.31 ± 0.01, P = 0.0009, F(3,45) = 6.5; Fig. 7C], and time spent in the open arm of the EPM (Nlgn3+/+ 130.4 ± 7.1 s, Nlgn3+/– WT 109.3 ± 8.8 s, Nlgn3+/–KO 127.6 ± 9.1 s, Nlgn3–/– 124 ± 13.3 s; Fig. 7D). However, Nlgn3–/– mice showed less time spent in contact with an unfamiliar female, decreased thigmotaxis, and similar amount of time in the open arms of the EPM compared with Nlgn3+/+ mice (Fig. 7A–D), showing that the behavior of adult Nlgn3–/– mice phenocopies that of adult Nlgn3y/– mice. Interestingly, Nlgn3+/– mice raised with Nlgn3–/– mice spent less time in contact with an unfamiliar female than Nlgn3+/– mice raised with Nlgn3+/+ littermates (Fig. 7A), indicating that, like males, female Nlgn3–/– mice modify the behavior of their littermates. Note that in measures of anxiety, the Nlgn3+/– mice raised with Nlgn3–/– mice were indistinguishable from Nlgn3+/– mice raised with Nlgn3+/+ littermates (Fig. 7B–D), suggesting that the behavior of Nlgn3–/– mice does not affect the anxiety of their littermates. These results demonstrate that the behavior of adult Nlgn3–/– mice phenocopies that of Nlgn3y/– adult mice and that Nlgn3–/– mice have a different influence on the social behavior of their littermates than Nlgn3+/+ mice.
Discussion
Taken together, the results of these experiments reveal an unexpected impact of the Nlgn3 deletion on social behavior in male and female mouse littermates. First, we showed that young and adult male Nlgn3y/+ and Nlgn3y/– mice modify each other’s social behavior. In addition, our results indicate that MGH increases adult Nlgn3y/– mouse anxiety, related to novel environment but not to height, and potentially increases their compulsive behavior. This result is consistent with a previous report showing that the lack of Nlgn3 affects only specific aspects of anxiety in mice (Radyushkin et al., 2009). Importantly, we found that re-expression of Nlgn3 in Pvalb-expressing interneurons was sufficient to normalize the behavior of Nlgn3y/– mice and restore normal social behavior in their wild-type littermates, demonstrating that Nlgn3y/– mice are causing this phenotype in their Nlgn3y/+ littermates. Finally, although the behavior of Nlgn3–/– mice is not modified by the social environment, we observed that housing with Nlgn3+/+ or Nlgn3–/– mice promotes different interests in social behavior in Nlgn3+/– mice.
Using Nlgn3y/–PvalbCre/+ mice, we were able to demonstrate a causal link between the behavioral phenotype of Nlgn3y/– mice and that of their littermates. Some evidence confirms that the phenotype of Nlgn3y/+ mice in MGH cannot be due to mothering or early life events. First, all dams of Nlgn3y/+, Nlgn3y/–, Nlgn3y/+PvalbCre/+, and Nlgn3y/–PvalbCre/+ mice were of the same Nlgn3+/– genotype. We found that the maternal behavior of these Nlgn3+/– dams is comparable to that of Nlgn3+/+ mice (data not shown), consistent with an absence of mothering effect. Second, activation of the Pvalb promoter in the brain occurs around P14 (http://developingmouse.brain-map.org); therefore, the interference of behavior between Nlgn3y/+ mice and their Nlgn3y/– littermates is unlikely to be due to prenatal events. Third, transfer of anxiety or fear (Langford et al., 2006; Smith et al., 2016) could explain the phenotype observed in Nlgn3y/+ mice in MGH. However, we did not find any increased anxiety in young animals or adult female mice, showing that the defective social behavior observed in Nlgn3y/+ mice from MGH is not due to social anxiety as a result of MGH. Finally, re-expression of Nlgn3 in parvalbumin-expressing cells restores the social behavior of Nlgn3y/– mice and that of their Nlgn3y/+ littermates without affecting the hyperactivity of Nlgn3y/– mice. This result suggests that it is not the hyperactivity of Nlgn3y/– mice that causes the social phenotype in Nlgn3y/+ mice but rather their social behavior deficits.
The finding that Nlgn3 in parvalbumin cells controls social behavior is consistent with studies showing that mice lacking parvalbumin display deficits in social behavior (Wöhr et al., 2015). Loss of parvalbumin also leads to defects in excitation and inhibition (E/I) balance, a common pathologic feature in mouse models of ASD (Lee et al., 2017). Results show that the phenotype of Nlgn3y/– mice is also underlined by a deficit in E/I balance caused by a decrease in inhibitory but not excitatory postsynaptic currents in the striatum (Rothwell et al., 2014). Re-expression of Nlgn3 in parvalbumin-expressing interneurons is therefore likely to be sufficient to restore inhibitory postsynaptic currents and E/I balance in neuronal circuits, rescuing some aspect of the Nlgn3y/– mouse phenotype. Theories on the pathophysiology of ASD have hypothesized that some of the symptoms associated with ASD may be caused by an E/I imbalance in the cortex or the striatum (Rapanelli et al., 2017). In Nlgn3y/–PvalbCre/+ mice, restoration of the E/I balance is more likely to occur in the striatum, where we detected re-expression of Nlgn3, rather than in the cortex, where we detected low levels of re-expression, close to background. We also detected a high level of re-expression of Nlgn3 in the cerebellum, a brain region associated with the Nlgn3y/– mouse phenotype (Baudouin, 2014), ASD-associated phenotypes in mice (Tsai et al., 2012), and symptoms of ASD in humans (Wang et al., 2014). The alleviation of the phenotype in Nlgn3y/– mice could therefore arise from a restoration of neuronal network activity in the striatum or cerebellum.
Our results also show similarities in phenotypes of male and female mice lacking Nlgn3. Indeed, like the Nlgn3y/– mice studied here and in Radyushkin et al. (2009), Nlgn3–/– mice show increased activity in the OF and spend similar amounts of time in the open arms of the EPM compared with wild-type mice. Unlike Nlgn3–/– mice, Nlgn3+/– mice show behavior similar to that of their Nlgn3+/+ littermates. These results demonstrate that the effect of a loss-of-function mutation in Nlgn3 is dose dependent and, because Nlgn3 is an X-linked gene, less likely to affect females than males. In addition, Nlgn3–/– mice are likely modifying the social behavior of their littermates, suggesting that, as in males, social hierarchy or at least group inequality may exist in female laboratory mice. In contrast to Nlgn3y/– mice, young Nlgn3–/– mice show no sensitivity to the social environment. Importantly, these results indicate that the social environment has a sexually dimorphic effect on the phenotypes associated with ASD, which could in part explain the increased prevalence in boys versus girls in humans.
Our observation that the behavior of transgenic mice can affect that of their wild-type littermates, and vice versa, is a crucial parameter to take into account in the interpretation of experiments. Much evidence indicates that such a phenomenon may not be limited to Nlgn3y/– mice but could extend to other models. First, several genetic mouse models of ASD display social submission (Spencer et al., 2005; Yang et al., 2015a, 2015b) or courtship behavior deficits, potentially indicative of a social dominance phenotype (Kazdoba et al., 2016). Raising these mice with wild-type littermates could create similar social heterogeneity, and the associated phenotypes, to that of Nlgn3y/– mice and their wild-type littermates. Second, the behavioral phenotype of Nlgn3y/– is associated with dysfunctions of Pvalb-expressing interneurons [Polepalli et al. (2017) and Figs. 4 and 5] and type 1 mGluRs (Baudouin et al., 2012). Several studies have suggested that, despite the heterogeneity of genetic factors causing ASD, similar pathophysiological phenotypes converge on common behavioral phenotypes (Gogolla et al., 2009, 2014; Auerbach et al., 2011; Baudouin, 2014). Several mouse models of ASD show cellular (Gogolla et al., 2014; Karayannis et al., 2014; Ito-Ishida et al., 2015) and molecular (Bear et al., 2004; Tian et al., 2015; Wang et al., 2016) pathophysiology similar to Nlgn3y/– mice, associated with a common social behavior phenotype; therefore, these transgenic mice could also modify the behavior of their wild-type littermates. Our observation that the phenotype of Nlgn3y/– mice modifies the social behavior of their Nlgn3y/+ littermates implies that using wild-type littermates as unique controls for experiments with animal models may lead to false interpretations of results. Therefore, these findings could profoundly affect the interpretation of experiments using mouse models of ASD, and we strongly recommend that standard laboratory practice should take into account the potential confounding effect of social heterogeneity by including independent nonlittermate wild-type mice as additional controls.
Acknowledgments
Acknowledgments: We thank Y. Barde and G. McNamara for insightful comments on this manuscript and J. Hurst and L. Wilkinson for expert advice. We thank Adam Ranson for providing the PvalbCre/Cre mice.
Footnotes
Authors report no conflict of interest.
This work was supported by the Life Science Research Network Wales, an initiative funded through the Welsh Government’s Ser Cymru program, and byfunds to S.J.B and E.C. from the Wellcome Trust, UK. The authors declare no conflict of interest.
This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.