Autism Spectrum Disorder (ASD) is characterized by impaired social communication, restricted interests, and repetitive and stereotyped behaviors. The TRPC6 (transient receptor potential channel 6) represents an ASD candidate gene under an oligogenic/multifactorial model based on the initial description and cellular characterization of an individual with ASD bearing a de novo heterozygous mutation disrupting TRPC6, together with the enrichment of disruptive TRPC6 variants in ASD cases as compared to controls. Here, we perform a clinical re-evaluation of the initial non-verbal patient, and also present eight newly reported individuals ascertained for ASD and bearing predicted loss-of-function mutations in TRPC6. In order to understand the consequences of mutations in TRPC6 on nervous system function, we used the fruit fly, Drosophila melanogaster, to show that null mutations in transient receptor gamma (trpγ; the fly gene most similar to TRPC6), cause a number of behavioral defects that mirror features seen in ASD patients, including deficits in social interactions (based on courtship behavior), impaired sleep homeostasis (without affecting the circadian control of sleep), hyperactivity in both young and old flies, and defects in learning and memory. Some defects, most notably in sleep, differed in severity between males and females and became normal with age. Interestingly, hyperforin, a TRPC6 agonist and the primary active component of the St. John’s wort antidepressant, attenuated many of the deficits expressed by trpγ mutant flies. In summary, our results provide further evidence that the TRPC6 gene is a risk factor for ASD. In addition, they show that the behavioral defects caused by mutations in TRPC6 can be modeled in Drosophila, thereby establishing a paradigm to examine the impact of mutations in other candidate genes.
Autism Spectrum Disorder (ASD, or autism) is a neurogenetic developmental disorder diagnosed solely on the basis of behavior, characterized by hallmark features including impaired social communication, restricted interests, and repetitive and stereotyped behaviors . There is great phenotypic heterogeneity among ASD patients and symptoms often co-occur with other psychiatric and neurological conditions (e.g., intellectual disability, ID > 40%; attention-deficit hyperactivity disorder, ADHD > 50%; sleep, and anxiety disorders [2,3,4,5,6]) as well as with atypical sensory processing and integration (>90%), which affects every sensory modality . ASD affects ~1% of individuals worldwide, exhibiting a 4:1 male to female sex bias [8, 9], a bias that is also observed in ADHD, a disorder that can share a genetic bases with ASD [10,11,12,13].
Genomic analyses have contributed greatly to our understanding of the genetic architecture of ASD, and led to the identification of some highly-penetrant bona fide ASD-relevant genes  as well as of hundreds of other risk genes [15,16,17]. Disruption of these ASD-relevant genes by rare pathogenic variants (single nucleotide variants, indels, or copy number variations or CNVs) are responsible for most monogenic forms of the disorder [16, 18,19,20,21,22]. However, much work has yet to be done to understand the genetic basis of oligogenic/multifactorial inheritance of ASD, which represents the majority of cases [23,24,25]. In addition, a major remaining challenge is determining how mutations in particular neurodevelopmental genes trigger specific core behavioral symptoms and, in addition, why certain comorbidities arise. In this regard the fruit fly, Drosophila melanogaster (Drosophila), has served as an important system to study the consequence on nervous system function of mutations in genes associated with cognitive  and psychiatric  disorders, including several ASD-associated genes, such as Neurexin , Shank , Drosophila fragile X mental retardation gene , and neuroligin 2 [31, 32].
The transient receptor potential 6 channel (TRPC6) gene is considered a candidate for ASD (SFARI 2, strong candidate class) based on the identification of a non-syndromic ASD individual that carried a de novo balanced translocation that disrupts one copy of the TRPC6 gene, located on chromosome 11q22, together with the enrichment of predicted pathogenic TRPC6 variants in ASD cases as compared to controls . Disruptive TRPC6 variants may act together with other genetic factors that contribute to the ASD phenotype, as incomplete penetrance was observed in some families . TRPC6 encodes a voltage-independent, Ca2+-permeable, cation channel, and although knowledge of its function in the human brain is only rudimentary , the consequences on neuronal function of disrupting the TRPC6 gene were recently investigated in induced pluripotent stem-cell (iPSC)-derived neuronal cells and dental pulp cells obtained from the initial patient . In these cells a reduction in TRPC6 expression was consistently observed, which caused a decrease in the phosphorylation of CREB (a transcription factor activated upon Ca2+ influx through TRPC6), and, in turn, resulted in the deregulation (increase or decrease) of target gene expression. In addition, reduced Ca2+ influx was observed in the patient’s neuroprogenitor cells, and the resulting neurons exhibited decreased excitatory synapses, and reduced arborization and dendritic spine density . TRPC6 knockdown (through the use of short hairpin RNA, or shRNA) caused similar changes in isogenic control cells. Interestingly, all the cellular phenotypes expressed by the patient’s neuronal cells were rescued by hyperforin treatment (a TRPC6 agonist). Together, these results support the haploinsuficiency model, and suggest that that the defects observed in cells derived from the patient, and thus, possibly also those expressed by the patient, are due to a deficiency of TRPC6 .
Here, we extend our analysis of the role of TRPC6 in ASD. First, in a 10-year follow-up examination, we provide a more detailed clinical description of the index translocation carrier. We then describe new loss-of-function mutations in TRPC6 carried by ASD patients from unrelated families. Then, using the fruit fly, Drosophila, we examine the functional consequence of disrupting the trp-gamma gene (trpγ; CG5996), the fly gene most similar to TRPC6, on the control of behavior. Using this model organism, we found that null trpγ mutant flies exhibit several behavioral anomalies that mirror those seen in ASD patients, including defective social interactions, hyperactivity (in both young and older flies), impaired learning and memory, and deficits in sleep homeostasis. Some defects, notably in sleep, were more severe in males than in females and became attenuated with age. Interestingly, we found that the chemical hyperforin (the primary active phytochemical of St. John’s wort) alleviated many of the defects of trpγ mutant flies, consistent with the effects reported for TRPC6-deficient neuronal cells . Overall, our data suggest that TRPC6 is an ASD susceptibility gene and that its role in the control of behavior can meaningfully be investigated in Drosophila.
Materials/subject and methods
Identification of new TRPC6 mutant alleles in ASD individuals
We searched multiple microarray and whole genome databases for CNVs and loss-of-function variants in TRPC6 by mining internal microarray CNV databases of published and unpublished samples of various neurodevelopmental disorders (n = 5328) including ASD, ADHD, OCD, schizophrenia, impulsivity, and cerebral palsy, which is hosted at the Centre for Applied Genomics in the Hospital for Sick Children in Toronto . We also analyzed the whole genome sequence of autism cases in cohorts of MSSNG (n = 5102) and of the Simon Simplex Collection (n = 2419). The methods for identifying CNVs and sequences level variations from whole genome are described in details in Zarrei et al. , Yuen et al. , and Trost et al. . We also searched publications reporting on mutations in TRPC6. We did not include here missense variants as their effects on gene function are difficult to predict; such variants have been associated with FSGS2 (Glomerulosclerosis, focal segmental 2; #MIM603965) caused by a gain-of-function mechanism and in a few cases by a dominant negative effect [35, 36].
Fly rearing and stocks
Drosophila strains were raised on standard cornmeal media and, unless noted, were maintained at room temperature (20–22 °C) on a 12 h light:12 h dark (12 L:12D) light:dark (LD) cycle. Young flies were defined as those <10 days old and old flies as >30 days old . We used wild type Canton-S and white1118 (w1118) flies as control genotypes, as appropriate. trpγ1 and trpγG4 (an insertion of the GAL4 transcription factor into the trpγ gene, CG5996) are null trpγ alleles and were kindly provided by Craig Montell (University of California Santa Barbara, California, USA), as were UAS-trpγ, and a trpγ[+] transgenic rescue line . UAS-RNAi lines for trpγ were obtained from the Vienna Drosophila RNAi Center, Vienna, Austria (VDRC) (stock VDRC105280) and the Bloomington Drosophila Stock Center at Indiana University, Bloomington, USA (BL) (stock BL31299). Preliminary tests showed that the results obtained using the VDRC UAS-trpγ RNAi line were more severe and similar to those obtained with the trpγ null alleles. For this reason, all results reported here used RNAi line 105280 from VDRC. The elav-GAL4 driver (stock BL458), flies bearing a chromosomal deletion that uncovers trpγ (Df(2 L)ED1109; stock BL8945) and reporter UAS-mCD8::GFP (stock BL5137), were obtained from the Bloomington Drosophila Stock Center. For hyperforin treatments we placed adult flies on apple juice-agar media containing 10 µM hyperforin (H1792, Sigma-Aldrich) for 96 h prior to testing.
We used a number of well-established quantitative behavioral assays to test Drosophila neural function, including courtship, anxiety-like behavior, learning and memory, circadian rhythmicity, locomotor activity, and sleep and sleep homeostasis, some of which have previously been used to investigate the behavioral capabilities of flies bearing mutations in homologs of genes associated with ASD .
Courtship behavior was quantified as described in McBride et al. (1999) . Briefly, males were collected upon emergence and kept individually in food vials until tested. Courting pairs (individual male + a virgin female) were placed in a standard “courtship chamber” and their behavior video recorded for 10 min. The courtship index (CI; proportion of time spent by the male in active courtship during these 10 min or until copulation, whichever happens first) and the timing of each stereotyped element of courtship behavior (following, tapping, wing vibration, licking, and copulation attempts) was measured [41, 42].
Anxiety-like behavior was assessed using an open field assay as described in Besson and Martin (2005) . Briefly, flies were placed individually in a custom-made arena (4 × 4 cm and 3.5 mm high), and their behavior video recorded during 10 min. The ANY-maze tracking software (http://www.anymaze.co.uk/) was then used to measure average locomotion speed, total distance traveled, number of entries to the central zone of the arena, and time spent in the central vs. the peripheral zone of the arena.
Learning and memory
The courtship-conditioning assay was used to measure learning and short-term memory [44, 45]. For these tests males were collected on the day of emergence and aged individually in food vials at 25 °C under 12/12 h LD cycle for 4–7 days (for young flies) and 40–72 days (for old flies). Courtship conditioning was carried out essentially as described in Ejima and Griffith et al. (2011) . This test is based on the fact that male flies eventually stop courting a mated (unreceptive) female. This learned behavior also reduces his subsequent courtship toward a virgin female; the perdurance of this reduced courtship can then be used to measure short-term as well as long-term memory . To ease the reading of the figures so that better learning and memory are shown as higher scores, the results shown here were calculated as 1 minus the values recorded .
Standard procedures were used to determine the status of the circadian clock. Briefly, 1–3 day old adult flies were entrained to a 12 L:12D LD regime for 3 days, placed individually in Trikinetics monitors (Trikinetics, USA), and their activity measured every 30 min for 7–10 days under conditions of constant darkness. Resulting records were analyzed using Matlab (MathWorks, Inc., Natick, USA) and the appropriate Matlab toolbox .
The activity of 1–3 day old adult flies was recorded for 7–10 days under a 12 L:12D LD regime using the Trikinetics locomotor activity monitors described above and used to calculate average day, night, morning, and evening activity. The “morning” and “evening” intervals were defined as the 3 hours after lights on and the 3 hours before lights off, respectively.
A sleep episode in Drosophila is defined as a period of immobility of >5 min duration , and was assayed essentially as described in Shaw et al. (2000) . For this, the same Trikinetics monitors used for locomotor activity were used except that activity was measured every minute. The total duration of sleep, the average number of sleep episodes, and their duration (sleep consolidation) under 12L:12D LD conditions were derived from these records using a Matlab-based analysis package .
Flies were sleep-deprived during a single 12 h dark period of a 12L:12D LD regime using a standard sleep disruption protocol involving mechanical agitation (2 s every 10 s) . Sleep homeostasis (“sleep rebound”) was then determined by comparing the sleep parameters during the 24 h following sleep deprivation to those of the average for the 2 days prior to the sleep deprivation episode.
Drosophila lifespan assay
We performed this assay essentially as described in Linford et al. (2013) . After emergence, male and female flies of each genotype were kept separately at 25 °C in groups of 20 in plastic vials with standard food, and transferred every 2 days to fresh food vials. The number of dead flies was then counted every 2 days. A minimum of three replicates was performed per genotype.
The pattern of trpγ expression was obtained by crossing the trpγG4 GAL4 driver to the UAS-mCD8::GFP reporter. Tissues were fixed in 4% buffered paraformaldehyde for 1 h at room temperature and rinsed in PBS + 0.3% Triton-X (Sigma-Aldrich, USA). They were then rinsed in PBS and imaged directly (adult CNS and legs) or first processed for anti-GFP immunoreactivity (larval and pupal CNS) using a rabbit anti-GFP antiserum (1:1,000; A6455, Invitrogen, CA, USA) and anti-rabbit IgG Alexa Fluor 488 secondary (Invitrogen, MA, USA).
Statistical comparisons between genotypes were carried out using Prism 9.0 (Graph Pad Software Inc, CA). t-tests, and one-way ANOVA followed by Tukey’s post hoc multiple comparison analyses, were used for normally distributed data (Supplementary Table 2). For analyses of behavioral rhythmicity, values were compared by one-way ANOVA, followed by Tukey’s post hoc multiple comparison analyses. Fisher’s exact test was used to analyze contingency tables. Differences in survival were analyzed using Kaplan–Meier survival plots; log-rank analysis was carried out using the OASIS online survival analysis package . Statistical significance is indicated in each figure using: “****”:p < 0.0001; “***”:p < 0.001; “**”:p < 0.01; “*”:p < 0.05. In addition, Supplementary Table 2 contains the exact values for all comparisons. The number of animals (N) used for each experiment and genotype is indicated on each figure. The minimum number used was 10, but in most cases exceeded 20. No sample size estimate was calculated to detect a pre-specified effect and no results were excluded.
The index ASD patient was first referred to our center (Centro de Estudos do Genoma Humano e Células Tronco, University of Sao Paulo, Brazil) for genetic investigation as a non-verbal ASD 5 year old patient, who also suffered from severe intestinal constipation and had sleeping problems. He was found to carry a de novo balanced translocation between the chromosome 3 and 11, 46, XY t(3;11)(p21;q22), disrupting the TRPC6 and VPRBP genes . No abnormalities were found on audiometric testing, electroencephalography (EEG), or cerebral magnetic resonance imaging (MRI) scan, performed when he was 4–5 years old . He was then re-assessed in 2020, at 17 years of age (Supplementary Table 1) and had not shown any improvement in ASD behavioral symptoms, language, or learning. However, he had suffered an epilepsy episode at age 13, and has been taking carbamazepine. His most recent EEG showed epileptiform activity and his MRI showed a minor hippocampal asymmetry (left side is <10% smaller than right). He also suffered from anxiety behavior and hyperactivity, which were being treated with Sertraline and Risperidone, respectively.
Identification of new ASD cases bearing mutations in TRPC6
In order to further investigate the link between disruptions in TRPC6 and ASD, we searched available databases for additional ASD patients bearing rare loss-of-function TRPC6 alleles. We found no CNVs in TRPC6 amongst published and unpublished cases. However, we found eight cases (of which five were previously unreported) carrying predicted loss-of-function mutations (frameshift deletion or insertions, stop-gain, and canonical splice-site mutations) impacting TRPC6 (Table 1). Except for a splice-site variant, all others are predicted to create premature stop codons in the N-terminal domain of the TRPC6, located upstream of the transmembrane domain. The in silico prediction of the consequences on TRPC6 expression caused by the change in splice site (patient 2-1280-003, Table 1) are unclear, but could result in the skipping of exon 4, which would lead to the loss of 55 amino acids, including the beginning of the transmembrane domain. Three of six cases with available genomic information also carried additional clinically relevant CNVs or canonical splice-site mutations; however, none of them have been associated with monogenic forms of ASD (Table 1).
trpγ, the fly gene most similar to human TRPC6
At the cellular level, iPSC-derived neuronal cells from the initial ASD patient exhibit reduced Ca2+ influx, as well as decreased excitatory synapses, and reduced arborization and dendritic spine density . However, little is known about how mutations in TRPC6 affect behavior. In order to further our understanding of the impact of mutations in this gene on nervous system function we turned to the model system, Drosophila, which has been extensively used to research the genetic bases of behaviors [32, 41].
We used DIOPT  followed by BLAST  analyses in order to identify trpγ (CG5996) as a potential Drosophila homolog of TRPC6. This gene was selected because it is the fly gene with the highest overall score and homology to TRPC6 (38% identity, 57% similarity, covering 86% of the sequence) and functional domains (Supplementary Fig. 1). In addition to previously reported expression of trpγ in the proprioceptive organs of the fly , we found that trpγ is expressed in the fly CNS (Supplementary Fig. 2g), suggesting that the behavioral defects described below may be due to functions subserved by this gene in central neurons (Supplementary Fig. 2a–f). We also found that trpγ expression is extremely low and sparse up until the start of metamorphosis, suggesting that defects in trpγ signaling may primarily affect the function, and not the development, of the relevant neuronal circuits.
We used a number of well-established quantitative behavioral assays in order to understand the consequences of mutations in trpγ on neural function. For all behavioral assays used, animals mutant for trpγ were mostly trans-heterozygous for two different null trpγ alleles. The first, called here trpγ-GAL4, carries an insertion of the GAL4 transcription factor just downstream of the trpγ translation start site and includes a 547 base pair deletion extending 3′ from the start codon ; this strain also allows gene expression to be driven in a pattern that reflects the temporal and spatial expression of the trpγ gene (cf. Supplementary Fig. 2, below). The second null trpγ allele, called trpγ1, carries a 180 base pair deletion that removes the carboxyl-terminal portion of the sixth transmembrane domain as well as the highly conserved TRP box.
trpγ function is required for normal courtship behavior
We first examined Drosophila courtship behavior as it involves a sequence of stereotyped routines that require that the male fly pay attention to the female and adjust his behavior depending on her responses to his advances [41, 42]. During courtship the male first orients toward the female, then follows her while producing a species-specific “courtship song” by vibrating one of his wings [41, 42]. Depending on the female’s receptivity and the male’s engagement, the additional steps of the fixed courtship sequence are then executed by the pair, culminating in copulation. Should the female be unreceptive or the male not be fully engaged, any step of the sequence can be extended or the sequence aborted entirely if the female rejects the male. Thus, courtship provides a sensitive assay for detecting abnormalities in a behavior that requires inter-individual communication .
In order to evaluate the role of trpγ in the control of courtship behavior, we first examined the behavior of males trans-heterozygous for the trpγ null alleles (trpγ1 and trpγG4) or for trpγ1 and a chromosomal deletion that uncovers trpγ (Df(2)ED1109), as well as of males in which trpγ was specifically knocked down in all neurons. As shown in Fig. 1d and Supplementary Fig. 3, male flies performed the entire courtship sequence in the correct order, culminating in copulation (see exact results of statistical analyses for this and all figures in Supplementary Table 2). However, when paired with a wild type (Canton-S) female, trpγ mutant males initiated courtship with significantly shorter latency (Fig. 1a; gray bars, in this and all figures) and achieved copulation significantly faster (Fig. 1b) and with fewer copulation attempts (Fig. 1d) than did males of the relevant control genotypes (green bars, in this and all figures). These reduced latencies did not affect the CI, which is a measure of the attractiveness of a female during the time of assay (Fig. 1c). Importantly, normal courtship behavior was restored when a wild type copy of trpγ (trpγ [+]) was introduced in a hemizygous mutant background (yellow bars, in this and all figures), demonstrating that these behavioral defects map to the trpγ gene. Interestingly, normal behavior was also rescued by feeding the mutant males hyperforin (10 μM) for 4 days prior to testing (orange bars, in this and all figures), reminiscent of the rescue of morphology and function observed for TRPC6-deficient neuronal cells .
We then evaluated the courtship of wild type (Canton-S) males toward virgin trpγ mutant and knockdown females (Fig. 1e–h) and found that males took much longer to initiate courtship when paired with these females (Fig. 1e), and although they then showed normal latency to copulation (Fig. 1f), they expressed a lower overall CI (Fig. 1g). This reduced courtship drive is also evident in the reduction in the percentage of males that executed the different steps of the behavioral sequence, including following/tapping, wing vibration, licking, and attempted copulation (Fig. 1h and Supplementary Fig. 3b). Again, normal behavior was restored when a wild type copy of trpγ was introduced in a hemizygous mutant female, and also when she was fed hyperforin for 4 days prior to testing (Fig. 1e–h and Supplementary Fig. 3b). Thus, these results show that normal males express lower courtship drive toward trpγ mutant females revealing an important role for females in the control of the courtship behavior . Finally, we found that when both partners were mutant or expressed a knockdown of trpγ function (Fig. 1i–l) mutant males behaved as they did when paired with wild type females and expressed a shorter latency to initiate courtship (Fig. 1i), copulated sooner (Fig. 1j), with lower percentage of copulation attempts (Fig. 1l and Supplementary Fig. 3c), yet expressed a normal CI (Fig. 1k). These defects were also rescued by introducing a wild type copy of trpγ and by feeding hyperforin to the male. Overall, our analysis of courtship behavior suggests that the trpγ gene is involved in regulating courtship drive in males, with mutant males expressing an increased urgency to copulate, whereas it seems to regulate courtship attractiveness in females.
trpγ mutant flies are hyperactive
ASD individuals have high prevalence of neurological comorbidities, including attention deficit or hyperactivity and anxiety symptoms . Similarly to rodents , in Drosophila, the preference of adult flies for walking in the center vs. along the wall of an open field has been used to evaluate anxious behaviors [43, 59]. Using this assay, we found that trpγ mutant male and female flies were hyperactive, which is evident in the traces of individual flies (Fig. 2a; traces boxed in gray) and is reflected in the increased total distance travelled compared to that of controls (Canton-S) (Fig. 2b; gray vs. green bars); they also expressed significantly greater number of entries to the central zone of the arena. Normal levels of locomotor activity were restored by incorporating a wild type copy of trpγ (Fig. 2c, d, yellow bars) and also by feeding hyperforin for 4 days prior to testing (Fig. 2c, d; orange bars). Nevertheless, neither males nor females spent comparatively more time in the peripheral vs. central part of the arena than did controls (Fig. 2c, d), suggesting that mutations in trpγ do not affect anxiety levels.
Loss of trpγ function impairs learning and memory
ASD individuals typically show cognitive disabilities, memory reduction, and self-focused attention , whose severity is correlated with the severity of their autism disorder . Here we used the “courtship conditioning” assay to evaluate Drosophila learning and memory [44, 45]. This assay is based on the fact that a mated female rejects the advances from a male fly and, as a result, the male eventually stops courting her. This learned behavior also reduces his subsequent courtship toward any female (including a virgin female), and the perdurance of this reduced courtship can then be used to measure short-term as well as long-term memory. We found that trpγ mutant males displayed significantly lower levels of learning (Fig. 2e) and memory (Fig. 2f) compared to controls (Canton-S). Both defects were rescued by introducing a wild type copy of trpγ. Feeding hyperforin for 4 days prior to performing these assays rescued the learning defects (Fig. 2e), but did not improve memory levels (Fig. 2f).
Loss of trpγ function impairs sleep and sleep homeostasis
Sleep problems are often observed in ASD individuals including the carrier of the TRPC6 ASD index case (Supplementary Table 1), which can worsen the ASD core symptoms and the disorder prognosis [62,63,64]. Drosophila exhibit periods of sleep-like states, which share many features of mammalian sleep . To examine the role of trpγ in Drosophila sleep, we assessed sleep behavior in trpγ mutant males and females under a 12 h light:12 h dark LD regime. We found that trpγ mutant males expressed a significant decrease in total sleep duration, and shorter and more frequent sleep episodes (Fig. 3a–d; gray traces and bars) than did controls (white1118, w1118; green traces and bars). Normal sleep was restored by introducing a wild type copy of trpγ in a hemizygous mutant background (Fig. 3a–d; yellow traces and bars). It was similarly restored by feeding the flies hyperforin for 4 days prior to initiating the sleep assay (Fig. 3a–d; orange traces and bars). Interestingly, we found that the decrease in sleep duration persisted under conditions of constant darkness (Supplementary Fig. 4a–b).
As in mammals, the timing and the amount of Drosophila sleep are governed by a circadian mechanism as well as by a homeostatic mechanism that counts the number of hours awake . To investigate the status of the sleep homeostat in trpγ mutant Drosophila, we sleep-deprived flies by mechanical stimulation for 12 h during the night (Fig. 3e, Supplementary Fig. 5a–c) then measured the amount of sleep that was recovered during the following day. As expected, males of all genotypes lost sleep during sleep deprivation (Fig. 3f), yet trpγ mutant males then recovered significantly less lost sleep than did control flies (Fig. 3g–h). This reduced sleep homeostasis was restored by introducing a wild type trpγ transgene as well as by feeding hyperforin prior to testing. Unlike the defects observed for sleep and sleep homeostasis, trpγ mutant males expressed normal circadian rhythms of locomotor activity under conditions of constant darkness (DD) (Supplementary Fig. 6a–f), indicating that in males, mutations in trpγ do not affect the circadian clock.
ASD symptoms and the impact of risk factors can differ in men and women , and, interestingly, we found that, unlike males, trpγ mutant female flies did not show consistent differences in total sleep compared to controls (Fig. 4a, b; gray vs. green traces and bars). Nevertheless, sleep recovery was similarly reduced compared to that of controls (Fig. 4g, h), and was also rescued by introducing a wild type trpγ transgene (Fig. 4g, h, yellow traces and bars) as well as by feeding hyperforin before testing (Fig. 4g, h, orange traces and bars). We also evaluated a possible role for trpγ in the circadian control of sleep and under conditions of constant darkness found that trpγ mutant females expressed a decrease in sleep duration during the subjective day (Supplementary Fig. 7a–b). As in males, circadian rhythmicity of locomotor activity was normal (Supplementary Fig. 8a–f), indicating that the mild sleep defects expressed by females were due to alterations in sleep and sleep regulation, not to defects in the circadian clock itself.
Effects of age on trpγ mutant flies
The study of ASD has mostly focused on children and adolescents, and while some studies are collecting longitudinal data, little is known about the impact of aging on the severity of this disorder, and how different genes contribute in this process [67, 68]. We did not observe differences in the survival  of trpγ mutant vs. control males (Fig. 5a). Although both groups of aged flies expressed a sharp decline in their levels of locomotor activity (Compare Fig. 5b with Fig. 2b), aged mutant male flies remained hyperactive when compared to controls (Figs. 2b and 5b; gray vs. green bars). And, as occurred in younger flies, this defect was rescued by introducing a wild type copy of trpγ (Fig. 5b; yellow bars) and by feeding hyperforin for 4 days prior to assay (Fig. 5b; orange bars). Interestingly, and unlike younger flies, older trpγ mutant males did not express consistent sleep defects (Compare Fig. 3b–d with Fig. 5d–f). In parallel experiments, we observed that, in contrast to males, trpγ mutant female flies showed a higher survival than controls. Yet, similarly to males, older mutant females were much more active than their normal counterpart (Figs. 2d and 5h). Neither older male (Fig. 5c) nor older female (Fig. 5i) mutant animals expressed the hallmarks of anxiety-like behaviors.
In summary, we found that trpγ mutant flies exhibited a number of behavioral anomalies that mirror those seen in ASD patients (Table 1; Supplementary Table 1), including defective social interactions, hyperactivity, impaired learning and memory, and deficits in sleep homeostasis. Interestingly, some of these behavioral defects differed between genders (e.g., in sleep) and were differentially affected by age (e.g., sleep in males vs. hyperactivity).
Here we performed a 10 years follow-up clinical analysis of an ASD individual who carries a disruption in the TRPC6 gene , and report that he is still non-verbal and presented one episode of epilepsy. We also identified eight additional patients diagnosed with ASD that inherited putative loss-of-function mutations in TRPC6 that are classified as possibly pathogenic or as pathogenic according to the ACMG (Table 1). Notably, all the TRPC6 variants so far associated with ASD are located in the N-terminal domain of the protein, which could disrupt the transmembrane domain of TRPC6, in agreement with the haploinsufficiency model . An inspection of the distribution of the TRPC6 variants in the Gnomad revealed a lower frequency of LoF variants in the N- terminal (24/74,156 genomes; variants downstream amino acid 500) as compared to those found in the MSSNG/SSC databases (7/7521 genomes; Table 1; p = 0.018; odds ratio: 2.95 [1.07–7.07]). In addition, none of these patients carried pathogenic lesions that might have explained their phenotype. Language and social skills were compromised in all cases for which we have more detailed clinical information. Thus, disruption of TRPC6 might represent a predisposing genetic risk for ASD, but the penetrance of the phenotype seems to depend on additional hits, as we previously suggested .
In order to understand the relationship between deficiencies of TRPC6 function due to heterozygous disruptive variants and ASD behavioral defects, we investigated the consequences on behavior of disabling trpγ, the Drosophila gene most similar to TRPC6. For this we focused on quantitative behaviors that are affected in ASD patients and are also abnormal in the corresponding Drosophila mutants, including circadian rhythms, sleep, learning and memory (reviewed ). We also assayed courtship behavior, as it is a complex and stereotyped behavior in which the duration of each step depends on the attention that the male pays to the female’s responses to his advances . Thus, it provides a quantitative assay for selective attention, which can be altered in ASD patients . We found that flies bearing null mutant alleles of trpγ expressed a number of behavioral defects that mirror those of TRPC6 patients, including defective social interactions (analyzed by courtship behavior), hyperactivity (measured as locomotor activity), sleep homeostasis, and learning and memory (analyzed by courtship conditioning behavior). Importantly, most of these behavioral defects were restored by introducing a wild type copy of the trpγ gene, indicating that they are caused by lack of trpγ function.
Despite the striking behavioral differences observed in trpγ mutant flies vs. wild type animals, we recognize that understanding the bases of these differences will require extensive further analyses. In particular, courtship is a complex behavior that involves sensory systems (vision, olfaction, taste) and motor coordination in addition to attention . In this regard, trpγ mutants express subtle defects in proprioception , which may contribute to the courtship defects observed. In addition, we found that trpγ mutant flies are hyperactive, which could also somehow cause the shortening of the latency to court expressed by trpγ mutant males. Showing that attention is specifically affected could be addressed using an independent assay, such as fixation during flight (discussed in ). Similarly, demonstrating that the reduced associative learning expressed by trpγ mutant males in a courtship conditioning assay is due to a defect in learning per se would could be addressed by examining their performance in other learning assays (see ).
Intriguingly, whereas the defects associated with deficiencies in TRPC6 function occur in patients that are heterozygous for TRPC6, most Drosophila results described here were obtained using flies homozygous for trpγ null alleles. Furthermore, introduction of a single copy of the wild type gene into this genetic background rescued the mutant phenotype, suggesting that it behaves overall like a recessive gene. A similar situation occurs with other autosomal dominant ASD or intellectual disability conditions that have been modeled in Drosophila such as Phelan-McDermid syndrome;  see also Mariano et al. 2020 [31, 32] for cases involving other diseases. Whether the different effects of genetic perturbations observed in humans vs. model organisms simply reflects the sensitivity of assays applied to humans or reveals important differences regarding the genetic control of neural function among different species, awaits further investigation.
The behavioral defects of trpγ mutant flies are commonly observed in flies bearing mutations in genes that cause neurodevelopmental disorders or are homologs of genes associated with ASD [28, 31, 71,72,73]. Even though most of these genes, including trpγ, are involved in the formation, specification, and maintenance of synapses , the physiological and molecular mechanisms underlying these phenotypes are still poorly understood. We observed that trpγ deficient males displayed severe impairments in the timing of courtship behavior, although they were able to correctly execute the typical sequence of behaviors involved in courtship (e.g., following, tapping, wing vibration and licking), suggesting an altered information processing in central nervous circuits responsible for the initiation and coordination of this social behavior. This would be in agreement with the observation of impaired social behavior observed in all the TRPC6 cases reported here. Interestingly, we found that females mutant for trpγ elicited less vigorous courtship from males than did normal females. This decreased attractiveness could be due to the partial masculinization of the female, consistent with “the extreme male brain theory for autism” [75, 76], a question that could be experimentally addressed in this model organism.
Given that trpγ is primarily expressed at the adult stage (this study) and that its human homologue shows a steady expression from pre-natal to late adulthood [77, 78], our findings suggest that the symptoms of TRPC6 ASD patients may be due to defects in the function and not the development of the relevant neuronal circuits.
Interestingly, we observed that the severity of some behavioral defects expressed by trpγ mutants differed between males and females (e.g., sleep; also lifespan), revealing that Drosophila could be used to investigate the bases for gender differences observed in ASD symptoms that differentially affect men and women [66, 79].
The use of Drosophila offered an opportunity to investigate how the defects expressed by trpγ mutants changed with age, finding that some differences with their normal counterpart were maintained (e.g., hyperactivity), whereas others were normalized (e.g., sleep in males). Because aging involves well-conserved metabolic and physiological changes [80, 81], this information could be useful to the ASD field since there is limited information on how ASD symptoms change as patients age. Regarding the aging process, decreased expression of TRPC6  was recently reported in the blood and iPSC-derived neurons of individuals with Alzheimer disorder (AD), suggesting that TRPC6 modulates pathways related to brain aging . In ASD, some comorbidities manifest themselves during the patient’s life; for example, in Phelan-McDermid Syndrome and Fragile-X Syndrome, individuals can manifest some psychiatric symptoms during particular stages of their life, including mood and anxiety disorders, progressive loss of skills, and increased behavioral problems [83,84,85]. Thus, this cross-sectional study contributes to our understanding of ASD symptom progression and suggests that trpγ could be important in brain homeostasis throughout life.
We found that hyperforin, a TRPC6 agonist and the primary active component of the St. John’s wort antidepressant, alleviated many of the defects expressed by trpγ mutant flies. Interestingly, hyperforin improves learning and memory, and decreases the neurotoxicity of amyloid deposits in models of depression and AD that also show reduced TRPC6 expression [33, 82, 86,87,88,89]. TRPC6 is expressed throughout life in most human brain regions [77, 78], in contrast to most ASD candidate genes, which are mostly expressed during early brain development [16, 90]. This, together with our finding that trpy is mostly expressed in the Drosophila brain starting at the adult stage and that feeding flies hyperforin is effective, suggests that hyperforin may be a useful candidate therapeutic drug to test in clinical trials for the treatment of neurodevelopmental disorders associated with disruptive mutations in TRPC6. Nevertheless, the fact that most of the flies used here were homozygous for null mutant alleles of trpy suggests that either hyperforin is effecting its rescue by acting on a separate TRP channel or that it is acting on a different pathway. In this regard it is important to note that hyperforin is known to also inhibit the reuptake of several neurotransmitters, including serotonin, norepinephrine, dopamine, GABA, and glutamate [91, 92].
How defects in trpγ signaling might affect the function of the relevant neuronal circuits is currently unknown. Nevertheless, iPSC-derived neurons obtained from the index TRPC6 patient were found to exhibit reduced Ca2+ influx (as would be expected for a mutation that disables a Ca2+-permeable cation channel such as TRPC6), implying that the increased courtship drive and increased locomotion we observed in trpγ mutant flies would be due to a reduced inhibitory input. Another consequence of disabling trpγ function could be a reduction in the activation of the Ras-MEK-ERK1/2 or CaMKIV pathways, which can lead to a reduction in the levels of phosphorylated CREB (cAMP response element binding protein), a transcription factor activated by TRPC6 signaling [93,94,95]. In line with this hypothesis, reduced levels of phosphorylated CREB protein were seen in iPSC-derived neurons of the TRPC6 patient here revisited . Moreover, in mammalian cells, TRPC6 silencing through ERK1/2 pathways can inhibit the translocation to the plasma membrane of Kv4.3, a voltage-gated K+ channel, thereby decreasing GABAergic inhibition in interneurons. Yet another possibility is that TRPC6 dysfunction decreases the level of expression of LONP1, an enzyme involved in controlling mitochondrial fission . The resulting aberrant mitochondrial elongation and deficient respiratory function would then trigger excessive reactive oxygen species (ROS) production. Most of these cellular and molecular phenotypes have been rescued by treatment with hyperforin [33, 82, 86, 87, 96]. Dysfunction of these molecular pathways is relevant for neurological conditions, including epilepsy, ASD, schizophrenia and depression [86, 87, 97, 98].
In summary, here we gathered evidence that TRPC6 may act as a modifier gene (risk variant in an oligogenic model) for ASD and, using the fly homolog, trpy, showed that this gene controls behaviors throughout adult life. Furthermore, our results establish Drosophila as a tractable model for better understanding the etiology of ASD patients bearing mutations in the TRPC6 gene. Our findings can now be extended by leveraging the power of Drosophila genetics to investigate the links between the anatomical, functional, and behavioral defects, caused by mutations in trpy, and by upstream and downstream targets. Indeed, much is currently known about the neuronal circuits that control Drosophila locomotion, courtship, sleep, learning and memory, and the aging process, so the status of these circuits can be examined in trpy mutants. These analyses will be especially important for disentangling the role of trpy in different neuronal populations. Indeed, trpy is expressed in a number of central (this study) as well as peripheral proprioceptive organs , raising the possibility that the behavioral defects observed could be due to peripheral, to central, or to combinations of central and peripheral, functions subserved by the trpy gene. Coupling powerful human genomics studies with higher throughput functional studies using Drosophila promises to facilitate the expansion of genotype and phenotype correlations in autism, as it is already doing for a growing number of diseases . In addition, incorporating the use of Drosophila assays may be a powerful strategy to model multiple hit mutations associated with ASD.
American, Psychiatric, Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. Washington, DC, USA: American Psychiatric Association; 2013.
Fakhoury M. Autistic spectrum disorders: a review of clinical features, theories and diagnosis. Int J Dev Neurosci. 2015;43:70–7.
Bourgeron T. From the genetic architecture to synaptic plasticity in autism spectrum disorder. Nat Rev Neurosci. 2015;16:551–63.
Warwick H, Reardon T, Cooper P, Murayama K, Reynolds S, Wilson C, et al. Complete recovery from anxiety disorders following Cognitive Behavior Therapy in children and adolescents: a meta-analysis. Clin Psychol Rev. 2017;52:77–91.
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;12:66–79.
Fernandez BA, Scherer SW. Syndromic autism spectrum disorders: moving from a clinically defined to a molecularly defined approach. Dialogues Clin Neurosci. 2017;19:353–71.
Robertson CE, Baron-Cohen S. Sensory perception in autism. Nat Rev Neurosci. 2017;18:671–84.
Lyall K, Croen L, Daniels J, Fallin MD, Ladd-Acosta C, Lee BK, et al. The Changing Epidemiology of Autism Spectrum Disorders. Annu Rev Public Health. 2017;38:81–102.
Loomes R, Hull L, Mandy WPL. What Is the Male-to-Female Ratio in Autism Spectrum Disorder? A Systematic Review and Meta-Analysis. J Am Acad Child Adolesc Psychiatry. 2017;56:466–74.
Gudmundsson OO, Walters GB, Ingason A, Johansson S, Zayats T, Athanasiu L, et al. Attention-deficit hyperactivity disorder shares copy number variant risk with schizophrenia and autism spectrum disorder. Transl Psychiatry. 2019;9:258.
Zarrei M, Burton CL, Engchuan W, Young EJ, Higginbotham EJ, MacDonald JR, et al. A large data resource of genomic copy number variation across neurodevelopmental disorders. NPJ Genom Med. 2019;4:26.
Anttila V, Bulik-Sullivan B, Finucane HK, Walters RK, Bras J, Duncan L, et al. Analysis of shared heritability in common disorders of the brain. Science. 2018;360:eaap8757.
Lionel AC, Crosbie J, Barbosa N, Goodale T, Thiruvahindrapuram B, Rickaby J, et al. Rare copy number variation discovery and cross-disorder comparisons identify risk genes for ADHD. Sci Transl Med. 2011;3:95ra75.
Schaaf CP, Betancur C, Yuen RKC, Parr JR, Skuse DH, Gallagher L, et al. A framework for an evidence-based gene list relevant to autism spectrum disorder. Nat Rev Genet. 2020;21:367–76.
Rylaarsdam L, Guemez-Gamboa A. Genetic Causes and Modifiers of Autism Spectrum Disorder. Front Cell Neurosci. 2019;13:385.
Satterstrom FK, Kosmicki JA, Wang J, Breen MS, De Rubeis S, An JY, et al. Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism. Cell 2020;180:568–84 e23.
Yuen RKC, Merico D, Bookman M, Howe JL, Thiruvahindrapuram B, Patel RV, et al. Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder. Nat Neurosci. 2017;20:602–11.
Pizzo L, Jensen M, Polyak A, Rosenfeld JA, Mannik K, Krishnan A, et al. Rare variants in the genetic background modulate cognitive and developmental phenotypes in individuals carrying disease-associated variants. Genet Med: Off J Am Coll Med Genet. 2019;21:816–25.
Sanchez-Sanchez SM, Magdalon J, Griesi-Oliveira K, Yamamoto GL, Santacruz-Perez C, Fogo M, et al. Rare RELN variants affect Reelin-DAB1 signal transduction in autism spectrum disorder. Hum Mutat. 2018;39:1372–83.
Tammimies K, Marshall CR, Walker S, Kaur G, Thiruvahindrapuram B, Lionel AC, et al. Molecular Diagnostic Yield of Chromosomal Microarray Analysis and Whole-Exome Sequencing in Children With Autism Spectrum Disorder. Jama 2015;314:895–903.
Brandler WM, Antaki D, Gujral M, Kleiber ML, Whitney J, Maile MS, et al. Paternally inherited cis-regulatory structural variants are associated with autism. Science 2018;360:327–31.
Trost B, Engchuan W, Nguyen CM, Thiruvahindrapuram B, Dolzhenko E, Backstrom I, et al. Genome-wide detection of tandem DNA repeats that are expanded in autism. Nature. 2020;586:80–6.
Weiner DJ, Wigdor EM, Ripke S, Walters RK, Kosmicki JA, Grove J, et al. Polygenic transmission disequilibrium confirms that common and rare variation act additively to create risk for autism spectrum disorders. Nat Genet. 2017;49:978–85.
D’Abate L, Walker S, Yuen RKC, Tammimies K, Buchanan JA, Davies RW, et al. Predictive impact of rare genomic copy number variations in siblings of individuals with autism spectrum disorders. Nat Commun. 2019;10:5519.
Chawner S, Owen MJ, Holmans P, Raymond FL, Skuse D, Hall J, et al. Genotype-phenotype associations in children with copy number variants associated with high neuropsychiatric risk in the UK (IMAGINE-ID): a case-control cohort study. Lancet Psychiatry 2019;6:493–505.
van der Voet M, Nijhof B, Oortveld MA, Schenck A. Drosophila models of early onset cognitive disorders and their clinical applications. Neurosci Biobehav Rev. 2014;46:326–42. Pt 2
van Alphen B, van Swinderen B. Drosophila strategies to study psychiatric disorders. Brain Res Bull. 2013;92:1–11.
Tong H, Li Q, Zhang ZC, Li Y, Han J. Neurexin regulates nighttime sleep by modulating synaptic transmission. Sci Rep. 2016;6:38246.
Wu S, Gan G, Zhang Z, Sun J, Wang Q, Gao Z, et al. A Presynaptic Function of Shank Protein in Drosophila. J Neurosci. 2017;37:11592–604.
Dockendorff TC, Su HS, McBride SM, Yang Z, Choi CH, Siwicki KK, et al. Drosophila lacking dfmr1 activity show defects in circadian output and fail to maintain courtship interest. Neuron 2002;34:973–84.
Hahn N, Geurten B, Gurvich A, Piepenbrock D, Kastner A, Zanini D, et al. Monogenic heritable autism gene neuroligin impacts Drosophila social behaviour. Behav Brain Res. 2013;252:450–7.
Mariano V, Achsel T, Bagni C, Kanellopoulos AK. Modelling Learning and Memory in Drosophila to Understand Intellectual Disabilities. Neuroscience 2020;445:12–30.
Griesi-Oliveira K, Acab A, Gupta AR, Sunaga DY, Chailangkarn T, Nicol X, et al. Modeling non-syndromic autism and the impact of TRPC6 disruption in human neurons. Mol Psychiatry. 2014;20:1350–65.
Nilius B, Szallasi A. Chapter 23 - Are Brain TRPs Viable Targets for Curing Neurodegenerative Disorders and Improving Mental Health? In Szallasi A, editor. TRP Channels as Therapeutic Targets. Academic Press; 2015. pp. 419–56.
Reiser J, Polu KR, Moller CC, Kenlan P, Altintas MM, Wei C, et al. TRPC6 is a glomerular slit diaphragm-associated channel required for normal renal function. Nat Genet. 2005;37:739–44.
Riehle M, Buscher AK, Gohlke BO, Kassmann M, Kolatsi-Joannou M, Brasen JH, et al. TRPC6 G757D Loss-of-Function Mutation Associates with FSGS. J Am Soc Nephrol. 2016;27:2771–83.
Koh K, Evans JM, Hendricks JC, Sehgal AA. Drosophila model for age-associated changes in sleep:wake cycles. Proc Natl Acad Sci USA 2006;103:13843–7.
Akitake B, Ren Q, Boiko N, Ni J, Sokabe T, Stockand JD, et al. Coordination and fine motor control depend on Drosophila TRPgamma. Nat Commun. 2015;6:7288.
Coll-Tane M, Krebbers A, Castells-Nobau A, Zweier C, Schenck A. Intellectual disability and autism spectrum disorders ‘on the fly’: insights from Drosophila. Dis Model Mech. 2019;12:dmm039180.
McBride SM, Giuliani G, Choi C, Krause P, Correale D, Watson K, et al. Mushroom body ablation impairs short-term memory and long-term memory of courtship conditioning in Drosophila melanogaster. Neuron 1999;24:967–77.
Yamamoto D, Sato K, Koganezawa M. Neuroethology of male courtship in Drosophila: from the gene to behavior. J Comp Physiol A, Neuroethol, Sens, Neural, Behav Physiol. 2014;200:251–64.
Ejima A, Griffith LC. Measurement of Courtship Behavior in Drosophila melanogaster. CSH Protoc. 2007;2007:pdb prot4847.
Besson M, Martin JR. Centrophobism/thigmotaxis, a new role for the mushroom bodies in Drosophila. J Neurobiol. 2005;62:386–96.
Ejima A, Griffith LC. Assay for courtship suppression in Drosophila. Cold Spring Harb Protoc. 2011;2011:pdb prot5575.
Koemans TS, Oppitz C, Donders RAT, van Bokhoven H, Schenck A, Keleman K, et al. Drosophila Courtship Conditioning As a Measure of Learning and Memory. J Vis Exp. 2017:55808. https://doi.org/10.3791/55808.
Gailey DA, Jackson FR, Siegel RW. Conditioning mutations in Drosophila melanogaster affect an experience-dependent behavioral modification in courting males. Genetics 1984;106:613–23.
Levine JD, Funes P, Dowse HB, Hall JC. Signal analysis of behavioral and molecular cycles. BMC Neurosci. 2002;3:1.
Huber R, Hill SL, Holladay C, Biesiadecki M, Tononi G, Cirelli C. Sleep homeostasis in Drosophila melanogaster. Sleep 2004;27:628–39.
Shaw PJ, Cirelli C, Greenspan RJ, Tononi G. Correlates of sleep and waking in Drosophila melanogaster. Science 2000;287:1834–7.
Donelson NC, Kim EZ, Slawson JB, Vecsey CG, Huber R, Griffith LC. High-resolution positional tracking for long-term analysis of Drosophila sleep and locomotion using the “tracker” program. PLoS ONE. 2012;7:e37250.
Liu C, Haynes PR, Donelson NC, Aharon S, Griffith LC. Sleep in populations of Drosophila melanogaster. eNeuro. 2015;2:ENEURO.0071-15.2015.
Linford NJ, Bilgir C, Ro J, Pletcher SD. Measurement of lifespan in Drosophila melanogaster. J Vis Exp. 2013:50068. https://doi.org/10.3791/50068.
Yang JS, Nam HJ, Seo M, Han SK, Choi Y, Nam HG, et al. OASIS: online application for the survival analysis of lifespan assays performed in aging research. PLoS ONE. 2011;6:e23525.
Hu Y, Flockhart I, Vinayagam A, Bergwitz C, Berger B, Perrimon N, et al. An integrative approach to ortholog prediction for disease-focused and other functional studies. BMC Bioinforma. 2011;12:357.
Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990;215:403–10.
Rezaval C, Pattnaik S, Pavlou HJ, Nojima T, Bruggemeier B, D’Souza LAD, et al. Activation of Latent Courtship Circuitry in the Brain of Drosophila Females Induces Male-like Behaviors. Curr Biol. 2016;26:2508–15.
Anagnostou E, Zwaigenbaum L, Szatmari P, Fombonne E, Fernandez BA, Woodbury-Smith M, et al. Autism spectrum disorder: advances in evidence-based practice. CMAJ 2014;186:509–19.
Simon P, Dupuis R, Costentin J. Thigmotaxis as an index of anxiety in mice. Influence of dopaminergic transmissions. Behav Brain Res. 1994;61:59–64.
Mohammad F, Aryal S, Ho J, Stewart JC, Norman NA, Tan TL, et al. Ancient Anxiety Pathways Influence Drosophila Defense Behaviors. Curr Biol. 2016;26:981–6.
Lombardo MV, Barnes JL, Wheelwright SJ, Baron-Cohen S. Self-referential cognition and empathy in autism. PloS ONE. 2007;2:e883.
Ben Itzchak E, Lahat E, Burgin R, Zachor AD. Cognitive, behavior and intervention outcome in young children with autism. Res Dev Disabilities. 2008;29:447–58.
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: Off J Int Soc Autism Res. 2019;12:66–79.
Benson S, Bender AM, Wickenheiser H, Naylor A, Clarke M, Samuels CH, et al. Differences in sleep patterns, sleepiness, and physical activity levels between young adults with autism spectrum disorder and typically developing controls. Dev Neurorehabil. 2019;22:164–73.
Kose S, Yilmaz H, Ocakoglu FT, Ozbaran NB. Sleep problems in children with autism spectrum disorder and intellectual disability without autism spectrum disorder. Sleep Med. 2017;40:69–77.
Beckwith EJ, French AS. Sleep in Drosophila and Its Context. Front Physiol. 2019;10:1167.
Werling DM. The role of sex-differential biology in risk for autism spectrum disorder. Biol Sex Differ. 2016;7:58.
Wallace GL, Budgett J, Charlton RA. Aging and autism spectrum disorder: evidence from the broad autism phenotype. Autism Res. 2016;9:1294–303.
Happe F, Charlton RA. Aging in autism spectrum disorders: a mini-review. Gerontology 2012;58:70–8.
Bellosta P, Soldano A. Dissecting the Genetics of Autism Spectrum Disorders: a Drosophila Perspective. Front Physiol. 2019;10:987.
Keehn B, Muller RA, Townsend J. Atypical attentional networks and the emergence of autism. Neurosci Biobehav Rev. 2013;37:164–83.
Wise A, Tenezaca L, Fernandez RW, Schatoff E, Flores J, Ueda A, et al. Drosophila mutants of the autism candidate gene neurobeachin (rugose) exhibit neuro-developmental disorders, aberrant synaptic properties, altered locomotion, and impaired adult social behavior and activity patterns. J Neurogenet. 2015;29:135–43.
Corthals K, Heukamp AS, Kossen R, Grosshennig I, Hahn N, Gras H, et al. Neuroligins Nlg2 and Nlg4 Affect Social Behavior in Drosophila melanogaster. Front Psychiatry. 2017;8:113.
Hope KA, Flatten D, Cavitch P, May B, Sutcliffe JS, O’Donnell J, et al. The Drosophila Gene Sulfateless Modulates Autism-Like Behaviors. Front Genet. 2019;10:574.
Guang S, Pang N, Deng X, Yang L, He F, Wu L, et al. Synaptopathology Involved in Autism Spectrum Disorder. Front Cell Neurosci. 2018;12:470.
Baron-Cohen S. The extreme male brain theory of autism. TRENDS Cogn Sci. 2002;6:248–54.
Greenberg DM, Warrier V, Allison C, Baron-Cohen S. Testing the Empathizing–Systemizing theory of sex differences and the Extreme Male Brain theory of autism in half a million people. PNAS 2018;115:12152–7.
Riccio A, Medhurst A, Mattei C, Kelsell R, Calver A, Randall A, et al. mRNA distribution analysis of human TRPC family in CNS and peripheral tissues. Mol Brain Res. 2002;109:95–104.
Kang HJ, Kawasawa YI, Cheng F, Zhu Y, Xu X, Li M, et al. Spatio-temporal transcriptome of the human brain. Nature 2011;478:483–9.
Baron-Cohen S, Lombardo MV, Auyeung B, Ashwin E, Chakrabarti B, Knickmeyer R. Why Are Autism Spectrum Conditions More Prevalent in Males? Plos Biol. 2011;9:e1001081.
Park DC, Reuter-Lorenz P. The adaptive brain: aging and neurocognitive scaffolding. Annu Rev Psychol. 2009;60:173–96.
Cai HB, Wu GL, Huang CH, Huang ZS, Chen YB, Wang Q. Effect of Zhuang Jing Decoction on Learning and Memory Ability in Aging Rats. Rejuvenation Res. 2016;19:303–8.
Lu R, Wang J, Tao R, Wang J, Zhu T, Guo W, et al. Reduced TRPC6 mRNA levels in the blood cells of patients with Alzheimer’s disease and mild cognitive impairment. Mol Psychiatry. 2018;23:767–76.
Wise EA, Smith MD, Rabins PV. Aging and Autism Spectrum Disorder: a Naturalistic, Longitudinal Study of the Comorbidities and Behavioral and Neuropsychiatric Symptoms in Adults with ASD. J Autism Dev Disord. 2017;47:1708–15.
Kohlenberg TM, Trelles MP, McLarney B, Betancur C, Thurm A, Kolevzon A. Psychiatric illness and regression in individuals with Phelan-McDermid syndrome. J Neurodev Disord. 2020;12:7.
Usher LV, DaWalt LS, Hong J, Greenberg JS, Mailick MR. Trajectories of Change in the Behavioral and Health Phenotype of Adolescents and Adults with Fragile X Syndrome and Intellectual Disability: Longitudinal Trends Over a Decade. J Autism Dev Disord. 2020.
Kim JE, Park JY, Kang TC. TRPC6-mediated ERK1/2 Activation Regulates Neuronal Excitability via Subcellular Kv4.3 Localization in the Rat Hippocampus. Front Cell Neurosci 2017;11:413.
Kim JE, Park H, Choi SH, Kong MJ, Kang TC. TRPC6-Mediated ERK1/2 Activation Increases Dentate Granule Cell Resistance to Status Epilepticus Via Regulating Lon Protease-1 Expression and Mitochondrial Dynamics. Cells. 2019;8.
Liu Y, Liu C, Qin X, Zhu M, Yang Z. The change of spatial cognition ability in depression rat model and the possible association with down-regulated protein expression of TRPC6. Behav Brain Res. 2015;294:186–93.
Kim YJ, Kang TC. The role of TRPC6 in seizure susceptibility and seizure-related neuronal damage in the rat dentate gyrus. Neuroscience 2015;307:215–30.
Griesi-Oliveira K, Fogo M, Pinto B, Alves A, Suzuki A, Morales A, et al. Transcriptome of iPSC-derived neuronal cells reveals a module of co-expressed genes consistently associated with autism spectrum disorder. Mol Psychiatry. 2021;26:1589–1605.
Treiber K, Singer A, Henke B, Muller WE. Hyperforin activates nonselective cation channels (NSCCs). Br J Pharmacol. 2005;145:75–83.
Friedland K, Harteneck C. Hyperforin: To Be or Not to Be an Activator of TRPC(6). Rev Physiol Biochem Pharmacol. 2015;169:1–24.
Tai Y, Feng S, Ge R, Du W, Zhang X, He Z, et al. TRPC6 channels promote dendritic growth via the CaMKIV-CREB pathway. J Cell Sci. 2008;121:2301–7. Pt 14
Zhou J, Du W, Zhou K, Tai Y, Yao H, Jia Y, et al. Critical role of TRPC6 channels in the formation of excitatory synapses. Nat Neurosci. 2008;11:741–3.
Heiser JH, Schuwald AM, Sillani G, Ye L, Muller WE, Leuner K. TRPC6 channel-mediated neurite outgrowth in PC12 cells and hippocampal neurons involves activation of RAS/MEK/ERK, PI3K, and CAMKIV signaling. J Neurochem. 2013;127:303–13.
Wang J, Lu R, Yang J, Li H, He Z, Jing N, et al. TRPC6 specifically interacts with APP to inhibit its cleavage by gamma-secretase and reduce Abeta production. Nat Commun. 2015;6:8876.
Chen ES, Gigek CO, Rosenfeld JA, Diallo AB, Maussion G, Chen GG, et al. Molecular convergence of neurodevelopmental disorders. Am J Hum Genet. 2014;95:490–508.
Kataoka M, Matoba N, Sawada T, Kazuno AA, Ishiwata M, Fujii K, et al. Exome sequencing for bipolar disorder points to roles of de novo loss-of-function and protein-altering mutations. Mol Psychiatry. 2016;21:885–93.
Baldridge D, Wangler MF, Bowman AN, Yamamoto S, Undiagnosed Diseases N, Schedl T, et al. Model organisms contribute to diagnosis and discovery in the undiagnosed diseases network: current state and a future vision. Orphanet J Rare Dis. 2021;16:206.
We thank Craig Montell (University of California Santa Barbara, California, USA) and the Bloomington (https://bdsc.indiana.edu/) and Vienna (https://stockcenter.vdrc.at/) stock centers for fly stocks. The authors wish to acknowledge the resources of MSSNG (https://research.mss.ng), Autism Speaks, and The Centre for Applied Genomics, at The Hospital for Sick Children, Toronto, Canada. We also thank the participating families for their time and contributions to this database, as well as the generosity of the donors who supported this program.
This research was supported by FONDECYT Postdoctoral grant (#3160177) to AP-M, FONDECYT Iniciación grant (#11190601) to AP-M, FONDECYT grant (#1180403) to JE, and the Centro Interdisciplinario de Neurociencia de Valparaiso (CINV) Millennium Institute grant P09-022-F, supported by the Millennium Scientific Initiative of the Ministerio de Economia, Fomento y Turismo (to JE), FONDECYT Iniciación grant (#11180531) and Programa de Atracción e Inserción de Capital Humano (PAI #79170081) to IG. DM and MP-B were funded by the FAPESP (FAPESP/CEPID 2013/08028-1) and CNPq (303712/2016-3). SWS holds the Northbridge Chair in Paediatric Research, a joint Hospital-University Chair between the University of Toronto, The Hospital for Sick Children, and the SickKids Foundation. This study was also supported by grants from Genome Canada, Canada Foundation for Innovation, Government of Ontario, Canadian Institutes of Health Research, The Hospital for Sick Children Foundation, Ontario Brain Institute (OBI), Autism Speaks, and University of Toronto McLaughlin Centre.
The authors declare that they have no competing interests relevant to the data or interpretations presented in this study. SWS is on the Scientific Advisory Committees of Deep Genomics and Population Bio, and serves as a Highly Cited Academic Advisor for the King Abdulaziz University.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Palacios-Muñoz, A., de Paula Moreira, D., Silva, V. et al. Mutations in trpγ, the homologue of TRPC6 autism candidate gene, causes autism-like behavioral deficits in Drosophila. Mol Psychiatry (2022). https://doi.org/10.1038/s41380-022-01555-1