Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2011 Oct 1.
Published in final edited form as: Neurobiol Dis. 2010 May 20;40(1):66–72. doi: 10.1016/j.nbd.2010.05.016

Use of zebrafish as a model to understand mechanisms of addiction and complex neurobehavioral phenotypes

Priya Mathur 1, Su Guo 1
PMCID: PMC3021971  NIHMSID: NIHMS208480  PMID: 20493262

Abstract

Despite massive research efforts the exact pathogenesis and pathophysiology of addiction and neuropsychiatric disorders such as anxiety, schizophrenia and autism remains largely unknown. Animal models can serve as tools to understand the etiology and pathogenesis of these disorders. In recent years researchers are turning to zebrafish as it allows easy access to all developmental stages and imaging of pathological processes as well as automated behavioral quantification coupled with large scale screening and mutagenesis strategies. This review summarizes studies conducted over the last few years which demonstrate the relevance of the zebrafish model to human diseases including addiction and neuropsychiatric disorders.

Keywords: Zebrafish, addiction, anxiety, schizophrenia, autism

Introduction

Neuropsychiatric disorders have a relatively high prevalence in modern society and can affect individuals at all life stages. They often have severely disabling symptoms and represent a huge burden on individuals, families and society as a whole (Kessler et al., 2005). Neuropsychiatric disorders are genetically complex and there are no validated biological markers for distinguishing and characterizing the different disorders (Hyman, 2008). Despite immense research the precise risk factors and pathogenesis of neuropsychiatric disorders are still unknown. Almost no new therapeutic mechanisms or new drug targets have been identified in the last few decades (Nestler, 2009).

Human experimental neurobiology is mostly limited to non-invasive and indirect methods of investigation. An animal model gives us the opportunity to study how genetic and environmental factors can lead to the neuropsychiatric disorder by allowing us to manipulate molecules and confirm their role in the disease process.

The most commonly used animal models are small mammals (rats and mice). Although they have several advantages, these models are expensive to maintain and use in large-scale genetic or chemical screens and they are not readily accessible for studies at the embryonic stages. The small body size, large brood size, external development, and optical transparency of zebrafish allows us to overcome these limitations of mammalian models and provides a powerful tool kit, which includes large-scale genome mutagenesis and gene mapping, transgenesis, protein overexpression or knockdown, cell transplantation and chimeric embryo analysis, and chemical screens (Veldman and Lin, 2008), making this organism particularly well-suited to the molecular genetic analysis of vertebrate neurodevelopmental mechanisms relevant to neuropsychiatric disorders. It is possible to visualize complete neurotransmitter systems in the whole zebrafish brain at 5 days post fertilization when the fish already displays a sophisticated repertoire of behaviors (Panula et al., 2006). Magnetic Resonance imaging (MRI) on living zebrafish embryos for molecular screening or molecular tracking over time (Canaple et al., 2008) and Magnetic Resonance Histology (MRH) of the zebrafish brain have also been carried out (Ullmann et al., 2009). Therefore, the relative simplicity of the nervous system in fish larvae facilitate circuit analysis (Burgess and Granato, 2007).

An additional round of genome duplication occurred early in the evolution of teleosts but not all duplicated genes were retained by zebrafish. Current estimates for zebrafish in Zv8 zebrafish genome database is 24,000 protein coding genes, only about 20% more than human. While this can lead to uncovering redundant, species-specific information, duplicate genes can also be advantageous in studies of sub-functionalisation, since zebrafish co-orthologs represent selected expression patterns and developmental functions of mouse orthologs (Bergner, 2009; Key and Devine, 2003)

Zebrafish show similarity to humans in terms of the structure of the nervous system, which includes a fore-, mid-and hind-brain, including diencephalon, telencephalon (Mueller and Wullimann, 2009) and cerebellum and a peripheral nervous system with motor and sensory components, enteric and autonomic nervous systems. However, the telencephalon has only a rudimentary cortex. Although simplified compared to human behaviors, zebrafish do exhibit higher behaviors and integrated neural functions including memory, conditioned responses and social behaviors (for example, schooling) (Lieschke, 2007).

In the following sections we highlight various neuropsychiatric disorders including addiction, anxiety and depression, autism and schizophrenia, and discuss current efforts toward creating zebrafish models for these disorders (Tables 1 and 2). These disorders are covered in this review because of our interests as well as the presence of available data in zebrafish. As always, it is worth noting that not a single model is able to recapitulate all aspects of the complex human conditions.

Table 1.

ZF disease models

Neuropsychiatric disorder Example of ZF model/assay Phenotype and/or studies of disease pathogenesis References
Addiction
Alcohol dependence Adult ZF brain neurotransmitter levels Increased dopamine and serotonin levels Gerlai, Chatterjee et al. 2009
Microarray analysis of brain samples Changes in gene expression following conditioning Kily, Cowe et al. 2008
Adult ZF brain AchE Increased AchE levels Rico, Rosenberg et al. 2007
Video recording of locomotor activity in adult ZF Increased swim speed, Increased time in upper zone of novel tank Gerlai, Lahav et al. 2000
fan mutant Reduced melanocyte response to ethanol Peng, Wagle et al. 2009
Video recording of locomotor activity in larval ZF Retarded transition in activity from dark to light MacPhail, Brooks et al. 2009
Video recording of locomotor activity in larval ZF Increased swim speed, thigmotaxis, melanocyte dispersion Lockwood, Bjerke et al. 2000
Alcohol withdrawal Novel tank diving test Freezing bouts and erratic movements Cachat, Canavello et al. 2009
Cocaine dependence dum, gts, jpy mutants Reduced cocaine-induced CPP Darland, T. & Dowling, J. E. 2001
Cocaine withdrawal Video recording of locomotor activity in adult ZF Hyperactivity Lopez Patino, Yu et al. 2008
Morphine dependence Nociceptin receptor expression in embryos Decreased nociceptin receptor expression Macho Sanchez-Simon and Rodriguez 2009
tof mutant Reduced morphine-induced CPP Lau, Bretaud et al. 2006, Bretaud, Li et al 2007
Morphine withdrawal Novel tank diving test Freezing bouts and erratic movements Cachat, Canavello et al. 2009
Amphetamine dependence nad mutant Reduced amphetamine-induced CPP Webb, Norton et al. 2009
ache/+ mutant Reduced amphetamine-induced CPP Ninkovic, Folchert et al. 2006
Nicotine dependence bdav/cct8 and hbog/gabbr1.2 Altered locomotor sensitization to nicotine Petzold, Balciunas et al. 2009
Microarray analysis of brain samples Changes in gene expression following conditioning Kily, Cowe et al. 2008
Diazepam withdrawal Novel tank diving test Freezing bouts and erratic movements Cachat, Canavello et al. 2009
Salvinorin A dependence Locomotor activity and CPP Preference for Salvinorin compartment Braida, Limonta et al. 2007
Autism MO knockdown of SUSD4 Developmental abnormalities Tu, Cohen et al. 2010
MO knockdown of Met/HGF Altered Cerebeller growth and cell type specification Elsen, Choi et al. 2009
Fragile X Syndrome fmr1 knockout using TILLING No obvious phenotype den Broeder, van der Linde et al. 2009
MO knockdown of FMR-1 Abnormal axonal branching and craniofacial abnormalities Tucker, Richards et al. 2006
miRNA transgenes against fmr1 gene Abnormal neuronal morphology and connectivity Lin, Chang et al. 2006
Schizophrenia Knockdown of disc-1 Altered cranial neural crest migration and differentiation Drerup, Wiora et al. 2009
Knockdown of nrg-1 Loss of olig2-positive cerebellar neurones Wood, Bonath et al. 2009
ophelia mutant Reduced Prepulse inhibition Burgess and Granao 2007
Fear/Anxiety Light/dark preference task Avoid light compartment Maximino, Marques de Brito et al. 2010
Expose adult ZF to predators or images of predators Erratic movements and freezing Gerlai 2010
Expose adult ZF to alarm substance Jumping, erratic movements, increased shoal cohesion Speedie and Gerlai 2008
Expose adult ZF to Hypoxanthine 3-N oxide Increased jumping and erratic movements Parra, Adrian et al. 2009
Direct and indirect contact with predators Increased whole body cortisol Barcellos, Ritter et al. 2007
Expose adult ZF to novel tank Increased bottom-dwelling Levin, Bencan et al. 2007
Aggression Pair-house male ZF after separation Chases and bites by dominant male and retreats by subordinate male Larson, O’Malley et al. 2006

ZF = zebrafish, AchE = acetylcholinesterase, MO = morpholino, CPP = conditioned place preference, TILLING = targeted induced local lesions in genomes

Table 2.

Examples of neuropsychiatric disease-related genes studied in ZF

Disease Gene Technique used Reference
Drug dependency (ethanol) fan ENU mutagenesis, cloning Peng, Wagle et al. 2009
Drug dependency (amphetamine) calcineurin B microarray analysis Kily, Cowe et al. 2008
Autism SUSD4 MO knockdown Tu, Cohen et al. 2010
neuroligin studied expression patterns Rissone, A., L. Sangiorgio, et al. 2010
neurexin studied ZF homologs Rissone, A., M. Monopoli, et al. 2007
Met/HGF MO knockdown Elsen, Choi et al. 2009
Fragile X Syndrome FMR-1 TILLING den Broeder, van der Linde et al. 2009
MO knockdown Tucker, Richards et al. 2006
miRNA transgenes Lin, Chang et al. 2006
Schizophrenia disc-1 MO knockdown Drerup, Wiora et al. 2009
nrg1 MO knockdown Wood, Bonath et al. 2009
ndel1a, ndel1b studied expression patterns Drerup, C. M., S. C. Ahlgren, et al. 2007
ophelia mutagenesis Burgess and Granato 2007

ZF = zebrafish, MO = morpholino, TILLING = targeted induced local lesions in genomes

Use of zebrafish to model addiction

The zebrafish model has been widely used to better understand the complex processes involved in the development of addiction. We (Guo, 2009) and others have previously reviewed studies of the psycho-stimulatory (Bretaud et al., 2007; Darland and Dowling, 2001; Gerlai et al., 2000; Lau et al., 2006; Lockwood et al., 2004; Ninkovic et al., 2006) and reinforcing (Bretaud et al., 2007; Darland and Dowling, 2001; Lau et al., 2006; Ninkovic et al., 2006) effects of alcohol and drugs of abuse in zebrafish.

Numerous studies in recent years have focused upon modeling alcohol addiction in zebrafish and the findings have striking parallels with the effect of ethanol in mammals. Acute alcohol exposure has been shown to result in significant changes in dopamine, serotonin and related metabolites in adult zebrafish brain (Chatterjee and Gerlai, 2009). Different strains of zebrafish have been found to show differences in response to a zebrafish shoal and predator while undergoing alcohol withdrawal and this is correlated with differences in neurochemical (including dopamine) responses (Gerlai et al., 2009). Withdrawal after chronic exposure to ethanol in adult zebrafish has been profiled in terms of freezing bouts and erratic movements in the novel tank diving test and correlated with changes in whole body cortisol (Cachat et al., 2009).

In addition to alcohol, the effects of drugs of abuse including cocaine, amphetamine, and morphine have also been studied in zebrafish. Withdrawal symptoms following euphoria are part of the cycle of drug abuse for drugs like cocaine. In zebrafish, cocaine withdrawal produces an anxiety-like state which develops earlier in the female but is more robust and persistent in males and is accompanied by a decrease in dopamine transporter and an increase in dopamine levels (Lopez Patino et al., 2008b). Thus the zebrafish provides new opportunities to study genetic and endocrine gender-related factors involved in cocaine withdrawal symptoms. Studies in zebrafish have also shown that exposure to drugs such as morphine during development changes the expression level and localization of nociceptin receptors indicating that nociceptin (NOP) plays a role in development of dependence/addiction to drugs (Macho Sanchez-Simon and Rodriguez, 2009). Recently the mu-opioid receptor from zebrafish was shown to have a pharmacological profile similar to that of mammalian mu-opioid receptor (de Velasco et al., 2009). Additionally, the effects of a potent psychoactive drug Salvinorin-A have been documented in zebrafish. Salvinorin-A produces rewarding effects independently of its effects on zebrafish locomotor activity and these effects are mediated by kappa-opioid and cannabinoid receptors (Braida et al., 2007).

The above-mentioned studies have established a similarity between zebrafish and mammals in terms of their behavioral responses to alcohol and drugs of abuse and possibly also the underlying neural substrates. However, in order to exploit the strength of zebrafish to understand the underlying molecular and cellular mechanisms, assays amenable to high throughput screening need to be developed to reveal novel molecular and cellular insights.

Recent studies (Petzold et al., 2009) using larval zebrafish address the question of how genetic variation accounts for differential predisposition to nicotine dependence. Four-day old larval zebrafish show increased locomotor activity in response to a water stimulus and pretreatment with nicotine (2.5–50 μM) results in significantly greater locomotor activation. Zebrafish display sensitization due to prior nicotine exposure and the nicotine response is blocked by nicotinic receptor antagonists. This nicotine behavioral assay has been coupled with zebrafish forward genetic screens using gene-breaking transposon mutagenesis to identify mutants with defects in Chaperonin Containing Protein 8 (CCT8) and GABA-B receptor Subunit 1. These genes provide candidates for human association studies of predisposition to nicotine addiction.

The ethanol-modulated camouflage response of zebrafish, which is subjected to regulation by a variety of neurotransmitters and neuropeptides, has been used as a screening assay for understanding the biological effect of ethanol. A mutant which displays reduced camouflage response as well as behavioral sensitivity to ethanol has been identified to disrupt the evolutionarily conserved adenylyl cyclase 5 (ac5) gene (Peng et al., 2009). The reduced sensitivity of the mutant to the stimulatory effects of ethanol can be mimicked in wildtype zebrafish by partial inhibition of phosphorylation of Extracellular regulated Kinase (ERK). These studies demonstrate critical roles of AC5 and ERK signaling in behavioral sensitivity to ethanol. It will be of importance to determine whether polymorphisms in the human counterparts of these genes may predispose individuals to alcoholism.

Combining a zebrafish forward genetic screen with CPP and micro-array analysis lead to the discovery of the “no-addiction” or nad mutant which does not exhibit preference for the compartment paired with amphetamine (Cadet, 2009; Webb et al., 2009). Many of the genes involved in reward pathways and brain development and associated with neurogenic zones of the adult brain responded inappropriately to amphetamine in the nad mutant, indicating that drugs of abuse can hijack the brain s natural reward system. In addition, the transcription factors identified in this study can be used to study the link between neurogenesis and addiction (Cadet, 2009; Webb et al., 2009).

Microarray analysis has been coupled with the Conditioned Place Preference (CPP) assay in adult zebrafish to study whether prolonged nicotine/ethanol exposure in zebrafish results in changes in behavior as well as changes in gene expression at the level of the brain (Kily et al., 2008). Using zebrafish as a model system, candidate molecules and pathways that underlie neuro-adaptation to both ethanol and nicotine were identified and these include glutamate receptors, benzodiazepine receptors and molecules associated with synaptic plasticity (Kily et al., 2008). It will be of importance to determine, using high throughput zebrafish technologies, if any genes and pathways discovered in the profiling study are causally related to the change of behavior.

Taken together, zebrafish show great promise as a model for understanding the molecular and cellular mechanisms underlying behavioral responses to addictive substances. Continued exploitation of this model organism shall provide valuable insights into addiction.

Use of zebrafish to study Autism

Just like with any animal model for autism spectrum disorder (ASD), the repertoire of zebrafish behaviors is limited and cannot recapitulate all aspects of human behaviors that are impaired in autism. However, zebrafish are a useful tool to study the in vivo function of genes implicated in autism, since the larvae develop externally and rapidly, large numbers of larvae can be generated and used for molecular and genetic screens and the larvae are transparent enabling observations of brain development in living embryos at single cell resolution. Indeed, reviews discussing the potential of the zebrafish system for modeling autism (Tropepe and Sive, 2003), the zebrafish homologs of genes implicated in autism and assays developed to measure social interaction in zebrafish (Guo, 2009) have been published previously. Zebrafish behavioral assays that could be used to study social behaviors affected in autism include so-called “measures of personality” including social distance, activity in open field under social isolation and distance from predator (Dadda et al., 2010); novelty induced responses (Blaser and Gerlai, 2006); inhibitory avoidance (Blank et al., 2009); social interaction (Delaney et al., 2002); Courtship behavior (Colman et al., 2009) and dominant–subordinate relationships (Larson et al., 2006). Unvarying, repetitive behavioral patterns with no obvious function (stereotypy) (Lopez-Patino et al., 2008a) and comorbid conditions in autism including aggression (Colman et al., 2009) and seizure disorders (Hortopan et al.) have been modeled in zebrafish.

Roughly one percent of cases of autism are associated with deletions within a single region of chromosome 16, which contains nearly 30 genes (Eichler and Zimmerman, 2008). Of these 30 genes, at least 25 have clear homologs in zebrafish (sfari.org). Using morpholino antisense oligonucleotides (Nasevicius and Ekker, 2000), which inhibit maturation of the mRNA corresponding to each gene, it may be possible to identify genes required for the formation of normal brain structure or neurons, and assess interactions between genes. Recently, zebrafish morpholino knockdown experiments provided the first insight into the important physiological roles of Sushi domain-containing protein 4 (SUSD4), which is deleted in patients with autism. SUSD4 is highly expressed in the central nervous system (CNS) in different species including human, mouse and zebrafish, and plays an essential role in zebrafish development (Tu et al., 2010). However, high-resolution analyses of the neuronal phenotypes were not carried out in the study.

Mutations in Neuroligin 3 and Neuroligin 4 genes in humans have been linked to mental retardation and autism (Talebizadeh et al., 2006) and neuroligins along with neurexins are involved in synaptic function and maturation (Boucard et al., 2005). Studies in zebrafish (Rissone et al., 2007; Rissone et al., 2010) have revealed that seven genes in the zebrafish neuroligin family are very similar to their human homologs suggesting that these genes are subjected to a very strong evolutionary pressure to preserve their function. Neuroligins are expressed throughout the nervous system of the zebrafish and this model system provides an excellent opportunity to further explore the role of neurexins and neuroligins in the development of ASD.

Changes in cerebellar structure, and disrupted cerebellar gene expression has also been associated with ASD (Fatemi et al., 2008). The role of the Met (proto-oncogene associated with cellular metastatic cancer)/HGF (hepatocyte growth factor) signaling pathway in cerebellar development has been studied in zebrafish to understand the developmental basis of autism (Elsen et al., 2009). These studies in zebrafish revealed that Met signaling is critical for cerebellar morphogenesis, including normal growth and cell type specification, and plays an important role in hindbrain cell migration. These recent studies demonstrate that zebrafish is a viable model system for future exploration of the underlying molecular and cellular mechanisms of autism.

Use of zebrafish to study Fragile X Syndrome

Fragile X Syndrome (FraX) is a leading heritable cause of mental retardation that results from the loss of FMR1 (fragile X mental retardation) gene function. The zebrafish embryo has been established as a model for fmr1 loss-of-function analysis using a morpholino antisense oligonucleotide approach (Tucker et al., 2006). The zebrafish has genes orthologous to the human FMR1 gene family as well as fmr1 interacting proteins and can be used to examine phenotypes that are difficult or inaccessible to observation in other model organisms. Treatment with mGluR antagonist MPEP [2-methyl-6-(phenylethynyl)-pyridine] rescues the neurophysiological abnormalities and alleviates craniofacial defects associated with the loss of zebrafish Fmr1 and a model has been proposed for the interaction of Fmr1 and mGluR in control of axonal branching, guidance and fasciculation that has implications for the synaptic morphology component of fragile X syndrome (Tucker et al., 2006).

In support of this model loss-of-function transgenic zebrafish exhibiting abnormal neuron morphology and connectivity similar to those in human FraX have been generated using manmade miRNA transgenes directed against the fish fmr1 gene (Lin et al., 2006).

With the advance of such a miRNA-mediated loss of-fmr1-function zebrafish model, it will be possible to investigate the molecular, pathological and neurobehavioral changes that are common in human patients. Recently this approach has been extended with the generation of two independent fmr1 knockout alleles in the zebrafish using TILLING (targeted induced local lesions in genomes) (den Broeder et al., 2009). Surprisingly, these knockout zebrafish (with no detectable FMR1 protein) did not display any phenotype, which was in contrast to that of the morphant reported in the previous study. It remains to be resolved whether the difference is due to the morpholino s off-target effect (making the morphant phenotype a potential artifact), the morpholino s ability to target multiple fmr1-like genes (while the knockout only targeted a single gene), or alterations in the genetic background used in each study.

Use of zebrafish to study Schizophrenia

Schizophrenia is a devastating disorder caused by both genetic and environmental factors that disrupt brain development and function. It is distinguished as a neurodevelopmental disorder in part due to early cognitive impairments, behavioral dysfunction in childhood and adolescence, and abnormalities in central nervous system development with no neurodegenerative component (Lewis and Levitt, 2002). The zebrafish model system provides an opportunity to study both the genetic and developmental basis of schizophrenia as well as various pathological processes affecting neurogenesis, cell-fate determination and neuronal migration (Morris, 2009).

Neuropsychiatric disorders including schizophrenia are associated with disturbances in pre-pulse inhibition (PPI), which affects the individual s ability to filter out extraneous information from the environment (Braff et al., 2001). Larval zebrafish have been found to exhibit PPI which modulate the acoustic startle response in a manner similar to mammalian PPI. Larval PPI is disrupted by dopamine agonists and this disruption can be corrected by antipsychotic drugs similar to the mammalian situation. A zebrafish screen has isolated the Ophelia mutant, which has reduced PPI (Burgess and Granato, 2007) and further high-throughput zebrafish screens could help understand the genetic basis for defects in PPI observed in schizophrenia.

A study of the in-vitro effects of anti-psychotic drugs on zebrafish brain membranes has revealed that these drugs alter ectonucleotidase activity which can in turn modulate adenosine levels and affect the pathophysiology of schizophrenia (Seibt et al., 2009). Another study employing both in-vitro and in-vivo studies in zebrafish found that antipsychotic drugs produce alterations in acetylcholinesterase activity and this could reveal molecular mechanisms related to cholinergic signaling in schizophrenia (Seibt et al., 2009).

Disrupted in schizophrenia 1 (disc1), a well-documented schizophrenia-susceptibility gene has recently been characterized in zebrafish cranial neural crest (CNC). Disc1 is a potent regulator of sox10 which is an oligodendrocyte related schizophrenia susceptibility gene. Understanding the basic functions of Disc1 in transcriptional regulation, cell migration and cell differentiation in the zebrafish neural crest might give insight into the cellular processes that, when disrupted, predispose individuals to mental illness (Drerup et al., 2009).

Other recent findings in the zebrafish embryo reveal neurodevelopmental connections that may exist between key candidate schizophrenia susceptibility genes like DISC1 (Drerup et al., 2009), NudE-Like (NDEL1/NUDEL) (Drerup et al., 2007), NRG1 (Wood et al., 2009), OLIG2 and ERBB4 and suggest that disc1 and nrg1 function in common or related pathways controlling development of oligodendrocytes and neurons from olig2-expressing precursor cells (Wood et al., 2009). Future studies will continue to exploit the potential of zebrafish to elucidate further the roles of Disc1 and Neuregulin-ErbB signaling pathways in early brain development and to generate new experimental systems in which neurodevelopmental mechanisms and genetic pathways of relevance to schizophrenia can be dissected.

R1117X, a mutation in the gene encoding the synaptic protein SHANK3 identified in families of schizophrenia patients has been validated in zebrafish. Knockdown of zSHANK3 orthologous genes in zebrafish produced behavioral and differentiation defects (Gauthier et al., 2010).

Use of zebrafish to study Stress, Fear, and Anxiety

Anxiety disorders and phobias represent a large unmet medical need in the human population (Garner, 2008). Zebrafish have a single glucocorticoid and mineralocorticoid receptor which have been cloned and sequenced and the zebrafish corticoid signaling pathway which is involved in stress is similar to that of mammals (Alsop and Vijayan, 2008), (Denver, 2009).

At the behavioral level, fear reactions such as jumping, erratic movements and increased shoal cohesion can be elicited in adult zebrafish by exposing them to alarm substance extracted from the skin of zebrafish (Waldman, 1982), (Speedie and Gerlai, 2008) and also by synthetic substances such as Hypoxanthine 3-N Oxide (Parra et al., 2009). This zebrafish alarm response provides the opportunity to analyze fear at multiple levels from genes to circuits (Jesuthasan and Mathuru, 2008). Combining this assay with a genetic screen could allow the discovery of mutations leading to enhanced or reduced fear and could also be used to screen chemicals which alter the fear response.

Zebrafish have been observed to exhibit anti-predatory responses including erratic movements and freezing when exposed to animated images or live Indian leaf fish on the basis of visual cues alone. These responses can be quantified by automated methods (Gerlai, 2010). Both direct and visual contact with predators has been shown to increase whole body cortisol in zebrafish (Barcellos et al., 2007).

When exposed to novelty (new tank) zebrafish dive to the bottom and do not initially explore the environment. In the wild this response could help zebrafish escape from predators. The Novel tank diving response (Bencan and Levin, 2008) has been developed in recent years to characterize the fear/anxiety response in zebrafish (Bencan et al., 2009; Bergner, 2009). Fish spending more time at the bottom of the tank and freezing or swimming slowly or exhibiting increased erratic movements are considered to be fearful or anxious. Pre-treatment with anxiolytic substances like nicotine decreases bottom-dwelling (Levin et al., 2007). Acute exposure of adult zebrafish to substances like ethanol, nicotine, fluoxetine or diazepam results in anxiolytic effects in this assay (Bencan and Levin, 2008; Bencan et al., 2009; Egan et al., 2009), while exposure to alarm substance or caffeine had anxiogenic effects. Chronic ethanol and fluoxetine treatment improve habituation to novelty in zebrafish while anxiogenic agents like pentylenetetrazole and alarm pheromone attenuate habituation (Wong et al., 2010). Thus, zebrafish novel tank diving response can serve as an inexpensive, high-throughput model for screening anxiolytic drugs.

When given a choice between Light and Dark compartments adult zebrafish show a significant preference for the dark and avoidance of the light compartment. (Maximino et al., 2010b; Serra et al., 1999). This response is only seen if the tanks are open at the top and only the walls and floor are light/dark. Those zebrafish which show higher avoidance of the light compartment display a characteristic freezing response if confined to the light side and this response may be a reliable behavioral measure of anxiety (Blaser et al., 2010). Avoidance of the light compartment did not show intra-or intersession habituation (Maximino et al., 2010a). The light/dark preference task in zebrafish can be used to investigate anxiety-related behavior in a simple, high throughput manner (Maximino et al., 2010b).

Concluding remarks

Similar to humans, zebrafish (both larvae and adult) gather information about the environment by means of specialized sensory organs including eye, olfactory system and ear (zebrafish possess an additional sensory organ the lateral line). This information is processed by the nervous system and can result in a large repertoire of behaviors. To date zebrafish, in particular larval zebrafish that are especially amenable for screening and cellular level analysis, have been successfully used as a model system to elucidate genetic (Table 2), molecular and behavioral (Table 1) mechanisms underlying several neuropsychiatric disorders including addiction (Cachat et al., 2009; Cadet, 2009), aggression (Larson et al., 2006), depression (Roger et al., 2010), anxiety (Bencan et al., 2009; Blaser et al., 2010), schizophrenia (Wood et al., 2009) and autism (Elsen et al., 2009). Zebrafish possess homologs of several genes implicated in these disorders (Renier et al., 2007). Zebrafish are ideal organisms for translational research as they can be used to study mechanisms at the genetic, cellular and developmental level (Bergner, 2009). Improved behavioral phenotyping and development of mutant and transgenic lines of zebrafish will allow researchers to model these neuropsychiatric disorders with greater accuracy (Bergner, 2009). A High-throughput, behavior-based approach to neuroactive small molecule discovery is uniquely possible in zebrafish (Kokel et al., 2010) and behavioral profiling using zebrafish has revealed conserved functions of psychotropic molecules and predicted the mechanisms of action of poorly characterized compounds (Rihel et al., 2010).

Human neuropsychiatric disorders can involve several genes and symptom clusters and a particular mutant zebrafish strain may represent only a sub-population of individuals diagnosed with the disorder. Any potential treatment may need to be tested on several strains of zebrafish using several different behavioral assays.

All these findings suggest that our understanding of the genetic, cellular and developmental mechanisms underlying addiction and neuropsychiatric disorders can be vastly improved by using zebrafish as a genetically tractable model system.

Acknowledgments

The research in our laboratory is supported by grants from the National Institutes of Health.

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  1. Alsop D, Vijayan MM. Development of the corticosteroid stress axis and receptor expression in zebrafish. Am J Physiol Regul Integr Comp Physiol. 2008;294:R711–9. doi: 10.1152/ajpregu.00671.2007. [DOI] [PubMed] [Google Scholar]
  2. Barcellos LJG, Ritter F, Kreutz LC, Quevedo RM, da Silva LB, Bedin AC, et al. Whole-body cortisol increases after direct and visual contact with a predator in zebrafish, Danio rerio. Aquaculture. 2007;272:774–78. [Google Scholar]
  3. Bencan Z, Levin ED. The role of alpha7 and alpha4beta2 nicotinic receptors in the nicotine-induced anxiolytic effect in zebrafish. Physiol Behav. 2008;95:408–12. doi: 10.1016/j.physbeh.2008.07.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bencan Z, Sledge D, Levin ED. Buspirone, chlordiazepoxide and diazepam effects in a zebrafish model of anxiety. Pharmacol Biochem Behav. 2009;94:75–80. doi: 10.1016/j.pbb.2009.07.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bergner C, Egan R, Hart P, Cachat J, Canavello P, Kalueff A. Mutant and Transgenic Zebrafish in Modeling Neurobehavioral Disorders. In: Kalueff A, Bergner C, editors. Transgenic and Mutant Models of Brain Disorders. Vol. 44. Humana Press; NY: 2009. pp. 3–12. [Google Scholar]
  6. Blank M, Guerim LD, Cordeiro RF, Vianna MR. A one-trial inhibitory avoidance task to zebrafish: rapid acquisition of an NMDA-dependent long-term memory. Neurobiol Learn Mem. 2009;92:529–34. doi: 10.1016/j.nlm.2009.07.001. [DOI] [PubMed] [Google Scholar]
  7. Blaser R, Gerlai R. Behavioral phenotyping in zebrafish: comparison of three behavioral quantification methods. Behav Res Methods. 2006;38:456–69. doi: 10.3758/bf03192800. [DOI] [PubMed] [Google Scholar]
  8. Blaser RE, Chadwick L, McGinnis GC. Behavioral measures of anxiety in zebrafish (Danio rerio) Behav Brain Res. 2010;208:56–62. doi: 10.1016/j.bbr.2009.11.009. [DOI] [PubMed] [Google Scholar]
  9. Boucard AA, Chubykin AA, Comoletti D, Taylor P, Sudhof TC. A splice code for trans-synaptic cell adhesion mediated by binding of neuroligin 1 to alpha-and beta-neurexins. Neuron. 2005;48:229–36. doi: 10.1016/j.neuron.2005.08.026. [DOI] [PubMed] [Google Scholar]
  10. Braff DL, Geyer MA, Light GA, Sprock J, Perry W, Cadenhead KS, et al. Impact of prepulse characteristics on the detection of sensorimotor gating deficits in schizophrenia. Schizophr Res. 2001;49:171–8. doi: 10.1016/s0920-9964(00)00139-0. [DOI] [PubMed] [Google Scholar]
  11. Braida D, Limonta V, Pegorini S, Zani A, Guerini-Rocco C, Gori E, et al. Hallucinatory and rewarding effect of salvinorin A in zebrafish: kappa-opioid and CB1-cannabinoid receptor involvement. Psychopharmacology (Berl) 2007;190:441–8. doi: 10.1007/s00213-006-0639-1. [DOI] [PubMed] [Google Scholar]
  12. Bretaud S, Li Q, Lockwood BL, Kobayashi K, Lin E, Guo S. A choice behavior for morphine reveals experience-dependent drug preference and underlying neural substrates in developing larval zebrafish. Neuroscience. 2007;146:1109–16. doi: 10.1016/j.neuroscience.2006.12.073. [DOI] [PubMed] [Google Scholar]
  13. Burgess HA, Granato M. Sensorimotor gating in larval zebrafish. J Neurosci. 2007;27:4984–94. doi: 10.1523/JNEUROSCI.0615-07.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Cachat J, Canavello P, Elegante M, Bartels B, Hart P, Bergner C, et al. Modeling withdrawal syndrome in zebrafish. Behav Brain Res. 2009;208:371–6. doi: 10.1016/j.bbr.2009.12.004. [DOI] [PubMed] [Google Scholar]
  15. Cadet JL. Amphetamine recapitulates developmental programs in the zebrafish. Genome Biol. 2009;10:231. doi: 10.1186/gb-2009-10-7-231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Canaple L, Beuf O, Armenean M, Hasserodt J, Samarut J, Janier M. Fast screening of paramagnetic molecules in zebrafish embryos by MRI. NMR Biomed. 2008;21:129–37. doi: 10.1002/nbm.1169. [DOI] [PubMed] [Google Scholar]
  17. Chatterjee D, Gerlai R. High precision liquid chromatography analysis of dopaminergic and serotoninergic responses to acute alcohol exposure in zebrafish. Behav Brain Res. 2009;200:208–13. doi: 10.1016/j.bbr.2009.01.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Colman JR, Baldwin D, Johnson LL, Scholz NL. Effects of the synthetic estrogen, 17alpha-ethinylestradiol, on aggression and courtship behavior in male zebrafish (Danio rerio) Aquat Toxicol. 2009;91:346–54. doi: 10.1016/j.aquatox.2008.12.001. [DOI] [PubMed] [Google Scholar]
  19. Dadda M, Domenichini A, Piffer L, Argenton F, Bisazza A. Early differences in epithalamic left-right asymmetry influence lateralization and personality of adult zebrafish. Behav Brain Res. 2010;206:208–15. doi: 10.1016/j.bbr.2009.09.019. [DOI] [PubMed] [Google Scholar]
  20. Darland T, Dowling JE. Behavioral screening for cocaine sensitivity in mutagenized zebrafish. Proc Natl Acad Sci U S A. 2001;98:11691–6. doi: 10.1073/pnas.191380698. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. de Velasco EM, Law PY, Rodriguez RE. Mu opioid receptor from the zebrafish exhibits functional characteristics as those of mammalian mu opioid receptor. Zebrafish. 2009;6:259–68. doi: 10.1089/zeb.2009.0594. [DOI] [PubMed] [Google Scholar]
  22. Delaney M, Follet C, Ryan N, Hanney N, Lusk-Yablick J, Gerlach G. Social interaction and distribution of female zebrafish (Danio rerio) in a large aquarium. Biol Bull. 2002;203:240–1. doi: 10.2307/1543418. [DOI] [PubMed] [Google Scholar]
  23. den Broeder MJ, van der Linde H, Brouwer JR, Oostra BA, Willemsen R, Ketting RF. Generation and characterization of FMR1 knockout zebrafish. PLoS One. 2009;4:e7910. doi: 10.1371/journal.pone.0007910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Denver RJ. Structural and functional evolution of vertebrate neuroendocrine stress systems. Ann N Y Acad Sci. 2009;1163:1–16. doi: 10.1111/j.1749-6632.2009.04433.x. [DOI] [PubMed] [Google Scholar]
  25. Drerup CM, Ahlgren SC, Morris JA. Expression profiles of ndel1a and ndel1b, two orthologs of the NudE-Like gene, in the zebrafish. Gene Expr Patterns. 2007;7:672–9. doi: 10.1016/j.modgep.2007.03.003. [DOI] [PubMed] [Google Scholar]
  26. Drerup CM, Wiora HM, Topczewski J, Morris JA. Disc1 regulates foxd3 and sox10 expression, affecting neural crest migration and differentiation. Development. 2009;136:2623–32. doi: 10.1242/dev.030577. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Egan RJ, Bergner CL, Hart PC, Cachat JM, Canavello PR, Elegante MF, et al. Understanding behavioral and physiological phenotypes of stress and anxiety in zebrafish. Behav Brain Res. 2009;205:38–44. doi: 10.1016/j.bbr.2009.06.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Eichler EE, Zimmerman AW. A hot spot of genetic instability in autism. N Engl J Med. 2008;358:737–9. doi: 10.1056/NEJMe0708756. [DOI] [PubMed] [Google Scholar]
  29. Elsen GE, Choi LY, Prince VE, Ho RK. The autism susceptibility gene met regulates zebrafish cerebellar development and facial motor neuron migration. Dev Biol. 2009;335:78–92. doi: 10.1016/j.ydbio.2009.08.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Fatemi SH, Reutiman TJ, Folsom TD, Sidwell RW. The role of cerebellar genes in pathology of autism and schizophrenia. Cerebellum. 2008;7:279–94. doi: 10.1007/s12311-008-0017-0. [DOI] [PubMed] [Google Scholar]
  31. Garner MB, Baldwin D. How effective are current drug treatments for anxiety disorders, and how could they be improved? In: Blanchard RJ, Blanchard DC, Griebel G, Nutt D, editors. Handbook Behav Neurosci. Vol. 17. Elsevier; Amsterdam: 2008. pp. 395–411. [Google Scholar]
  32. Gauthier J, Champagne N, Lafreniere RG, Xiong L, Spiegelman D, Brustein E, et al. De novo mutations in the gene encoding the synaptic scaffolding protein SHANK3 in patients ascertained for schizophrenia. Proc Natl Acad Sci U S A. 2010;107:7863–8. doi: 10.1073/pnas.0906232107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Gerlai R, Lahav M, Guo S, Rosenthal A. Drinks like a fish: zebra fish (Danio rerio) as a behavior genetic model to study alcohol effects. Pharmacol Biochem Behav. 2000;67:773–82. doi: 10.1016/s0091-3057(00)00422-6. [DOI] [PubMed] [Google Scholar]
  34. Gerlai R, Chatterjee D, Pereira T, Sawashima T, Krishnannair R. Acute and chronic alcohol dose: population differences in behavior and neurochemistry of zebrafish. Genes Brain Behav. 2009;8:586–99. doi: 10.1111/j.1601-183X.2009.00488.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Gerlai R. Zebrafish antipredatory responses: a future for translational research? Behav Brain Res. 2010;207:223–31. doi: 10.1016/j.bbr.2009.10.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Guo S. Using zebrafish to assess the impact of drugs on neural development and function. Expert Opin Drug Discov. 2009;4:715–26. doi: 10.1517/17460440902988464. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Hortopan GA, Dinday MT, Baraban SC. Zebrafish as a model for studying genetic aspects of epilepsy. Dis Model Mech. 3:144–8. doi: 10.1242/dmm.002139. [DOI] [PubMed] [Google Scholar]
  38. Hyman SE. A glimmer of light for neuropsychiatric disorders. Nature. 2008;455:890–3. doi: 10.1038/nature07454. [DOI] [PubMed] [Google Scholar]
  39. Jesuthasan SJ, Mathuru AS. The alarm response in zebrafish: innate fear in a vertebrate genetic model. J Neurogenet. 2008;22:211–28. doi: 10.1080/01677060802298475. [DOI] [PubMed] [Google Scholar]
  40. Kessler RC, Chiu WT, Demler O, Merikangas KR, Walters EE. Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:617–27. doi: 10.1001/archpsyc.62.6.617. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Key B, Devine CA. Zebrafish as an experimental model: strategies for developmental and molecular neurobiology studies. Methods Cell Sci. 2003;25:1–6. doi: 10.1023/B:MICS.0000006849.98007.03. [DOI] [PubMed] [Google Scholar]
  42. Kily LJ, Cowe YC, Hussain O, Patel S, McElwaine S, Cotter FE, et al. Gene expression changes in a zebrafish model of drug dependency suggest conservation of neuro-adaptation pathways. J Exp Biol. 2008;211:1623–34. doi: 10.1242/jeb.014399. [DOI] [PubMed] [Google Scholar]
  43. Kokel D, Bryan J, Laggner C, White R, Cheung CY, Mateus R, et al. Rapid behavior-based identification of neuroactive small molecules in the zebrafish. Nat Chem Biol. 2010;6:231–37. doi: 10.1038/nchembio.307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Larson ET, O’Malley DM, Melloni RH., Jr Aggression and vasotocin are associated with dominant-subordinate relationships in zebrafish. Behav Brain Res. 2006;167:94–102. doi: 10.1016/j.bbr.2005.08.020. [DOI] [PubMed] [Google Scholar]
  45. Lau B, Bretaud S, Huang Y, Lin E, Guo S. Dissociation of food and opiate preference by a genetic mutation in zebrafish. Genes Brain Behav. 2006;5:497–505. doi: 10.1111/j.1601-183X.2005.00185.x. [DOI] [PubMed] [Google Scholar]
  46. Levin ED, Bencan Z, Cerutti DT. Anxiolytic effects of nicotine in zebrafish. Physiol Behav. 2007;90:54–8. doi: 10.1016/j.physbeh.2006.08.026. [DOI] [PubMed] [Google Scholar]
  47. Lewis DA, Levitt P. Schizophrenia as a disorder of neurodevelopment. Annu Rev Neurosci. 2002;25:409–32. doi: 10.1146/annurev.neuro.25.112701.142754. [DOI] [PubMed] [Google Scholar]
  48. Lieschke GJ, Currie P. Animal models of human disease: zebrafish swim into view. Nat Rev Genet. 2007;8:353–67. doi: 10.1038/nrg2091. [DOI] [PubMed] [Google Scholar]
  49. Lin SL, Chang SJ, Ying SY. First in vivo evidence of microRNA-induced fragile X mental retardation syndrome. Mol Psychiatry. 2006;11:616–7. doi: 10.1038/sj.mp.4001828. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Lockwood B, Bjerke S, Kobayashi K, Guo S. Acute effects of alcohol on larval zebrafish: a genetic system for large-scale screening. Pharmacol Biochem Behav. 2004;77:647–54. doi: 10.1016/j.pbb.2004.01.003. [DOI] [PubMed] [Google Scholar]
  51. Lopez-Patino MA, Yu L, Cabral H, Zhdanova IV. Anxiogenic effects of cocaine withdrawal in zebrafish. Physiol Behav. 2008a;93:160–71. doi: 10.1016/j.physbeh.2007.08.013. [DOI] [PubMed] [Google Scholar]
  52. Lopez Patino MA, Yu L, Yamamoto BK, Zhdanova IV. Gender differences in zebrafish responses to cocaine withdrawal. Physiol Behav. 2008b;95:36–47. doi: 10.1016/j.physbeh.2008.03.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Macho Sanchez-Simon F, Rodriguez RE. Expression of the nociceptin receptor during zebrafish development: influence of morphine and nociceptin. Int J Dev Neurosci. 2009;27:315–20. doi: 10.1016/j.ijdevneu.2009.03.008. [DOI] [PubMed] [Google Scholar]
  54. Maximino C, de Brito TM, Colmanetti R, Pontes AA, de Castro HM, de Lacerda RI, et al. Parametric analyses of anxiety in zebrafish scototaxis. Behav Brain Res. 2010a;210:1–7. doi: 10.1016/j.bbr.2010.01.031. [DOI] [PubMed] [Google Scholar]
  55. Maximino C, Marques de Brito T, Dias CA, Gouveia A, Jr, Morato S. Scototaxis as anxiety-like behavior in fish. Nat Protoc. 2010b;5:209–16. doi: 10.1038/nprot.2009.225. [DOI] [PubMed] [Google Scholar]
  56. Morris JA. Zebrafish: a model system to examine the neurodevelopmental basis of schizophrenia. Prog Brain Res. 2009;179:97–106. doi: 10.1016/S0079-6123(09)17911-6. [DOI] [PubMed] [Google Scholar]
  57. Mueller T, Wullimann MF. An evolutionary interpretation of teleostean forebrain anatomy. Brain Behav Evol. 2009;74:30–42. doi: 10.1159/000229011. [DOI] [PubMed] [Google Scholar]
  58. Nasevicius A, Ekker SC. Effective targeted gene ‘knockdown’ in zebrafish. Nat Genet. 2000;26:216–20. doi: 10.1038/79951. [DOI] [PubMed] [Google Scholar]
  59. Nestler EJ, Hyman SE, Malenka RJ. Molecular Neuropharmacology: Foundation for Clinical Neuroscience. McGraw-Hill; New York: 2009. [Google Scholar]
  60. Ninkovic J, Folchert A, Makhankov YV, Neuhauss SC, Sillaber I, Straehle U, et al. Genetic identification of AChE as a positive modulator of addiction to the psychostimulant D-amphetamine in zebrafish. J Neurobiol. 2006;66:463–75. doi: 10.1002/neu.20231. [DOI] [PubMed] [Google Scholar]
  61. Panula P, Sallinen V, Sundvik M, Kolehmainen J, Torkko V, Tiittula A, et al. Modulatory neurotransmitter systems and behavior: towards zebrafish models of neurodegenerative diseases. Zebrafish. 2006;3:235–47. doi: 10.1089/zeb.2006.3.235. [DOI] [PubMed] [Google Scholar]
  62. Parra KV, Adrian JC, Jr, Gerlai R. The synthetic substance hypoxanthine 3-N-oxide elicits alarm reactions in zebrafish (Danio rerio) Behav Brain Res. 2009;205:336–41. doi: 10.1016/j.bbr.2009.06.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Peng J, Wagle M, Mueller T, Mathur P, Lockwood BL, Bretaud S, et al. Ethanol-modulated camouflage response screen in zebrafish uncovers a novel role for cAMP and extracellular signal-regulated kinase signaling in behavioral sensitivity to ethanol. J Neurosci. 2009;29:8408–18. doi: 10.1523/JNEUROSCI.0714-09.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Petzold AM, Balciunas D, Sivasubbu S, Clark KJ, Bedell VM, Westcot SE, et al. Nicotine response genetics in the zebrafish. Proc Natl Acad Sci U S A. 2009;106:18662–7. doi: 10.1073/pnas.0908247106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Renier C, Faraco JH, Bourgin P, Motley T, Bonaventure P, Rosa F, et al. Genomic and functional conservation of sedative-hypnotic targets in the zebrafish. Pharmacogenet Genomics. 2007;17:237–53. doi: 10.1097/FPC.0b013e3280119d62. [DOI] [PubMed] [Google Scholar]
  66. Rihel J, Prober DA, Arvanites A, Lam K, Zimmerman S, Jang S, et al. Zebrafish behavioral profiling links drugs to biological targets and rest/wake regulation. Science. 2010;327:348–51. doi: 10.1126/science.1183090. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Rissone A, Monopoli M, Beltrame M, Bussolino F, Cotelli F, Arese M. Comparative genome analysis of the neurexin gene family in Danio rerio: insights into their functions and evolution. Mol Biol Evol. 2007;24:236–52. doi: 10.1093/molbev/msl147. [DOI] [PubMed] [Google Scholar]
  68. Rissone A, Sangiorgio L, Monopoli M, Beltrame M, Zucchi I, Bussolino F, et al. Characterization of the neuroligin gene family expression and evolution in zebrafish. Dev Dyn. 2010;239:688–702. doi: 10.1002/dvdy.22196. [DOI] [PubMed] [Google Scholar]
  69. Roger S, Mei ZZ, Baldwin JM, Dong L, Bradley H, Baldwin SA, et al. Single nucleotide polymorphisms that were identified in affective mood disorders affect ATP-activated P2X7 receptor functions. J Psychiatr Res. 2010;44:347–55. doi: 10.1016/j.jpsychires.2009.10.005. [DOI] [PubMed] [Google Scholar]
  70. Seibt KJ, Oliveira Rda L, Rico EP, Dias RD, Bogo MR, Bonan CD. Antipsychotic drugs inhibit nucleotide hydrolysis in zebrafish (Danio rerio) brain membranes. Toxicol In Vitro. 2009;23:78–82. doi: 10.1016/j.tiv.2008.10.003. [DOI] [PubMed] [Google Scholar]
  71. Serra EL, Medalha CC, Mattioli R. Natural preference of zebrafish (Danio rerio) for a dark environment. Braz J Med Biol Res. 1999;32:1551–3. doi: 10.1590/s0100-879x1999001200016. [DOI] [PubMed] [Google Scholar]
  72. Speedie N, Gerlai R. Alarm substance induced behavioral responses in zebrafish (Danio rerio) Behav Brain Res. 2008;188:168–77. doi: 10.1016/j.bbr.2007.10.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Talebizadeh Z, Lam DY, Theodoro MF, Bittel DC, Lushington GH, Butler MG. Novel splice isoforms for NLGN3 and NLGN4 with possible implications in autism. J Med Genet. 2006;43:e21. doi: 10.1136/jmg.2005.036897. [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Tropepe V, Sive HL. Can zebrafish be used as a model to study the neurodevelopmental causes of autism? Genes Brain Behav. 2003;2:268–81. doi: 10.1034/j.1601-183x.2003.00038.x. [DOI] [PubMed] [Google Scholar]
  75. Tu Z, Cohen M, Bu H, Lin F. Tissue Distribution and Functional Analysis of Sushi Domain-Containing Protein 4. Am J Pathol. 2010;176(5):2378–84. doi: 10.2353/ajpath.2010.091036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Tucker B, Richards RI, Lardelli M. Contribution of mGluR and Fmr1 functional pathways to neurite morphogenesis, craniofacial development and fragile X syndrome. Hum Mol Genet. 2006;15:3446–58. doi: 10.1093/hmg/ddl422. [DOI] [PubMed] [Google Scholar]
  77. Ullmann JF, Cowin G, Kurniawan ND, Collin SP. Magnetic resonance histology of the adult zebrafish brain: optimization of fixation and gadolinium contrast enhancement. NMR Biomed. 2009 doi: 10.1002/nbm.1465. [DOI] [PubMed] [Google Scholar]
  78. Veldman MB, Lin S. Zebrafish as a developmental model organism for pediatric research. Pediatr Res. 2008;64:470–6. doi: 10.1203/PDR.0b013e318186e609. [DOI] [PubMed] [Google Scholar]
  79. Waldman B. Quantitative and developmental analysis of the alarm reaction in the zebra Danio, Brachydanio rerio. Copeia. 1982;1:1–9. [Google Scholar]
  80. Webb KJ, Norton WH, Trumbach D, Meijer AH, Ninkovic J, Topp S, et al. Zebrafish reward mutants reveal novel transcripts mediating the behavioral effects of amphetamine. Genome Biol. 2009;10:R81. doi: 10.1186/gb-2009-10-7-r81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Wong K, Elegante M, Bartels B, Elkhayat S, Tien D, Roy S, et al. Analyzing habituation responses to novelty in zebrafish (Danio rerio) Behav Brain Res. 2010;208:450–7. doi: 10.1016/j.bbr.2009.12.023. [DOI] [PubMed] [Google Scholar]
  82. Wood JD, Bonath F, Kumar S, Ross CA, Cunliffe VT. Disrupted-in-schizophrenia 1 and neuregulin 1 are required for the specification of oligodendrocytes and neurones in the zebrafish brain. Hum Mol Genet. 2009;18:391–404. doi: 10.1093/hmg/ddn361. [DOI] [PubMed] [Google Scholar]

Web References

  1. Accessed 4/18/10. https://sfari.org/current-grant-recipients/-/asset_publisher/Qv9z/content/using-zebrafish-and-chemical-screening-to-define-function-of-autism-genes?redirect=%2Fcurrent-grant-recipients

RESOURCES