Abstract:A major challenge facing the genetics of autism spectrum disorders (ASDs) is the large and growing number of candidate risk genes and gene variants of unknown functional significance. Here, we usedCaenorhabditis elegansto systematically functionally characterize ASD-associated genes in vivo. Using our custom machine vision system, we quantified 26 phenotypes spanning morphology, locomotion, tactile sensitivity, and habituation learning in 135 strains each carrying a mutation in an ortholog of an ASD-associated… Show more
“…Previous studies have used C. elegans morphology and locomotion as readouts of disrupted behaviour in response to mutation to ASD associated genes (31, 32). We have extended this analysis to inform on the effect of a neuroligin variant on a phenotype that relates to one of the triad of impairments that make up the diagnostic criteria of ASD.…”
9Autism spectrum disorder (ASD) is characterised by a triad of behavioural impairments 10 including social behaviour. Neuroligin, a trans-synaptic adhesion molecule, has emerged as a 11 penetrant genetic determinant of behavioural traits that signature the neuroatypical 12 behaviours of autism. However, the function of neuroligin in social circuitry and the impact 13 of genetic variation to this gene is not fully understood. Indeed, in animal studies designed 14 to model autism there remains controversy regarding the role of neuroligin dysfunction in 15 the expression of disrupted social behaviours. The model organism, C. elegans, offers an 16 informative experimental platform to investigate the impact of genetic variants on social 17 behaviour. In a number of paradigms it has been shown that inter-organismal 18 communication by chemical cues regulates C. elegans social behaviour. We utilise this social 19 behaviour to investigate the effect of autism associated genetic variants within the social 20 domain of the research domain criteria. We have identified neuroligin as an important 21 regulator of social behaviour and segregate the importance of this gene to the recognition 22and/or processing of social cues. We also use CRISPR/Cas9 to edit an R-C mutation that 23 mimics a highly penetrant human mutation associated with autism. C. elegans carrying this 24 mutation phenocopy the behavioural dysfunction of a C. elegans neuroligin null mutant, 25 thus confirming its significance in the regulation of animal social biology. This highlights that 26 quantitative behaviour and precision genetic intervention can be used to manipulate 27 discrete social circuits of the worm to provide further insight to complex social behaviour. 28
“…Previous studies have used C. elegans morphology and locomotion as readouts of disrupted behaviour in response to mutation to ASD associated genes (31, 32). We have extended this analysis to inform on the effect of a neuroligin variant on a phenotype that relates to one of the triad of impairments that make up the diagnostic criteria of ASD.…”
9Autism spectrum disorder (ASD) is characterised by a triad of behavioural impairments 10 including social behaviour. Neuroligin, a trans-synaptic adhesion molecule, has emerged as a 11 penetrant genetic determinant of behavioural traits that signature the neuroatypical 12 behaviours of autism. However, the function of neuroligin in social circuitry and the impact 13 of genetic variation to this gene is not fully understood. Indeed, in animal studies designed 14 to model autism there remains controversy regarding the role of neuroligin dysfunction in 15 the expression of disrupted social behaviours. The model organism, C. elegans, offers an 16 informative experimental platform to investigate the impact of genetic variants on social 17 behaviour. In a number of paradigms it has been shown that inter-organismal 18 communication by chemical cues regulates C. elegans social behaviour. We utilise this social 19 behaviour to investigate the effect of autism associated genetic variants within the social 20 domain of the research domain criteria. We have identified neuroligin as an important 21 regulator of social behaviour and segregate the importance of this gene to the recognition 22and/or processing of social cues. We also use CRISPR/Cas9 to edit an R-C mutation that 23 mimics a highly penetrant human mutation associated with autism. C. elegans carrying this 24 mutation phenocopy the behavioural dysfunction of a C. elegans neuroligin null mutant, 25 thus confirming its significance in the regulation of animal social biology. This highlights that 26 quantitative behaviour and precision genetic intervention can be used to manipulate 27 discrete social circuits of the worm to provide further insight to complex social behaviour. 28
“…For all Multi-Worm Tracker experiments 4-6 plates (20-100 worms/plate) were run for each strain. The animals were maintained in a 20°C incubator for 96 hours prior to testing [42].…”
Section: Methodsmentioning
confidence: 99%
“…Our behavioral paradigm consisted of a 5-minute period to recover from being placed on the tracker followed by a 5 min baseline period from which we computed multiple measures of morphology and baseline locomotion ( Fig 4E ) [42]. Beginning at 10 minutes we administered 30 mechanosensory stimuli to the Petri plate holding the animals at a 10 second interstimulus interval (ISI) using an automated push solenoid ( Fig 4A ).…”
Section: Methodsmentioning
confidence: 99%
“…With repeated stimulation there is a decrease in the likelihood of a reversal, as well as the duration, speed, and distance of reversals (habituation learning; S1 Fig ). Following habituation training, we allowed a 5-minute recovery period after which we administered a 31 st stimulus to gauge spontaneous recovery from short-term habituation - an assay of short-term memory retention [42].…”
Section: Methodsmentioning
confidence: 99%
“…Arousal was defined as the increased mean absolute movement speed in the period following mechanosensory stimulation and prior to the delivery of the spontaneous recovery stimulus ( Fig 4E & F ; 600-1189 seconds). Custom R scripts organized and summarized Choreography output files [42]. No blinding was necessary because the Multi-Worm Tracker scores behavior objectively.…”
3Improved genome engineering methods that enable automation of large and precise edits 4 are essential for systematic investigations of genome function. We adapted peel-1 negative 5 selection to an optimized Dual-Marker Selection (DMS) cassette protocol for CRISPR-Cas9 6 genome engineering in Caenorhabditis elegans and observed robust increases in multiple 7 measures of efficiency that were consistent across injectors and four genomic loci. The use of 8 Peel-1-DMS selection killed animals harboring transgenes as extrachromosomal arrays and 9 spared genome edited integrants, often circumventing the need for visual screening to identify 10 genome edited animals. To demonstrate the applicability of the approach, we created deletion 11 alleles in the putative proteasomal subunit pbs-1 and the uncharacterized gene K04F10.3 and 12 used machine vision to automatically characterize their phenotypic profiles, revealing 13 homozygous essential and heterozygous behavioral phenotypes. These results provide a robust 14 and scalable approach to rapidly generate and phenotype genome edited animals without the 15 need for screening or scoring by eye. The ability to directly manipulate the genome and observe the resulting effects on the 33 traits of an organism is a powerful approach to investigate gene function. CRISPR-based 34 approaches to genome engineering have revolutionized such functional studies across model 35 organisms but still face major challenges that limit the scope and complexity of projects that can 36 be achieved in practice. Automating genome engineering and phenotyping would enable large-37 scale investigations of genome function in animals. Here, we describe the adaptation of peel-1 38 negative selection to an optimized dual-marker selection cassette CRISPR-Cas9 genome 39 engineering method in C. elegans and combine it with automated machine vision phenotyping 40 to achieve functional studies without the need for screening or scoring by eye. To demonstrate 41 the applicability of the approach, we generated novel deletion alleles in two understudied genes, 42 pbs-1 and K04F10.3, and used machine vision to characterize their phenotypic profiles, 43 revealing homozygous lethal and heterozygous behavioral phenotypes. Our results open the 44 door to systematic investigations of genome function in this model organism. 45 46 47 48 49 50 51 52 53 54 55 56 57 58 4 59 Introduction 60 61 Genome engineering -the ability to directly manipulate the genome, is a powerful 62 approach to investigate its encoded functions. The nematode Caenorhabditis elegans has a rich 63 history as a pioneering model system for the development of increasingly sophisticated methods 64 to engineer the genome [1,2]. For decades, genome engineering in C. elegans relied on random 65 mutagenesis to induce mutations or integrate transgenes, which often resulted in unwanted 66 background mutations, transgene silencing, or overexpression [1,2]. The development of Mos1 67 transposon-mediated Single Copy Insertion (MosSCI) and Deletion (mosDEL) finally...
Prior studies suggest that habituation of sensory responses is reduced in autism and that diminished habituation could be related to atypical autistic sensory experiences, for example, by causing brain responses to aversive stimuli to remain strong over time instead of being suppressed. While many prior studies exploring habituation in autism have repeatedly presented identical stimuli, other studies suggest group differences can still be observed in habituation to intermittent stimuli. The present study explored habituation of electrophysiological responses to auditory complex tones of varying intensities (50–80 dB SPL), presented passively in an interleaved manner, in a well‐characterized sample of 127 autistic (MDQ = 65.41, SD = 20.54) and 79 typically developing (MDQ = 106.02, SD = 11.50) children between 2 and 5 years old. Habituation was quantified as changes in the amplitudes of single‐trial responses to tones of each intensity over the course of the experiment. Habituation of the auditory N2 response was substantially reduced in autistic participants as compared to typically developing controls, although diagnostic groups did not clearly differ in habituation of the P1 response. Interestingly, the P1 habituated less to loud 80 dB sounds than softer sounds, whereas the N2 habituated less to soft 50 dB sounds than louder sounds. No associations were found between electrophysiological habituation and cognitive ability or participants' caregiver‐reported sound tolerance (Sensory Profile Hyperacusis Index). The results present study results extend prior research suggesting habituation of certain sensory responses is reduced in autism; however, they also suggest that habituation differences observed using this study's paradigm might not be a primary driver of autistic participants' real‐world sound intolerance.
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