Social Preference Tests in Zebrafish: A Systematic Review

The use of animal models in biology research continues to be necessary for the development of new technologies and medicines, and therefore crucial for enhancing human and animal health. In this context, the need to ensure the compliance of research with the principles Replacement, Reduction and Refinement (the 3 Rs), which underpin the ethical and human approach to husbandry and experimental design, has become a central issue. The zebrafish (Danio rerio) is becoming a widely used model in the field of behavioral neuroscience. In particular, studying zebrafish social preference, by observing how an individual fish interacts with conspecifics, may offer insights into several neuropsychiatric and neurodevelopmental disorders. The main aim of this review is to summarize principal factors affecting zebrafish behavior during social preference tests. We identified three categories of social research using zebrafish: studies carried out in untreated wild-type zebrafish, in pharmacologically treated wild-type zebrafish, and in genetically engineered fish. We suggest guidelines for standardizing social preference testing in the zebrafish model. The main advances gleaned from zebrafish social behavior testing are discussed, together with the relevance of this method to scientific research, including the study of behavioral disorders in humans. The authors stress the importance of adopting an ethical approach that considers the welfare of animals involved in experimental procedures. Ensuring a high standard of animal welfare is not only good for the animals, but also enhances the quality of our science.

Introduction

The zebrafish (Danio rerio) is a small tropical freshwater fish, belonging to the cyprinid family (1). This teleost fish first attracted the attention of aquarists, and about four decades ago began to gain popularity in biomedical research as an animal model (2). Native to the Himalayan region, this species has been found in a wide variety of environments, such as rice crops, ponds, rivers, and streams (3). Surveys carried out in wild populations suggest that zebrafish prefer warm (24–35°C) and slow-flowing waters, characterized by slight alkalinity (pH 7–8), high transparency and the presence of plant coverage (4, 5). Zebrafish are asynchronous, batch spawners. Their reproductive behavior in the wild is dependent upon food availability and positively correlated with increased rainfall (6).

Olfactory signals play an essential role in zebrafish reproduction: the presence of glucuronic steroids, released into the water by males, induces ovulation in females. After ovulation, females release other hormones, which in turn induce the release of gametes by males (7). The fertilized eggs are demersal, transparent, usually hatch in 48–72 h, and do not receive parental care (6). With regard to biometric data, Ribas and Piferrer (8) report that the live weight of adult zebrafish varies between 500 and 900 mg, while their body length, from the head to the point at which the tail forks, ranges from 22 to 38 mm; they also note that the two sexes show somatic dimorphism, the females being larger and heavier than the males. Although the average life span of these fish is about 3 years, it has been shown that in laboratory conditions they can survive for more than 5 years (9).

The zebrafish is omnivorous and its diet consists mainly of zooplankton, phytoplankton and insects (8). In the laboratory, zebrafish are mainly fed a mixture of live prey, such as ciliates, rotifers and Artemia, and/or commercial dried feeds. The use of live prey provides behavioral enrichment designed to improve zebrafish welfare by encouraging the animal's natural predatory behavior (10). Such physical enrichment has become mandatory for rodents, but as yet there is no evidence suggesting that it produces improvements in zebrafish welfare (11).

Wild zebrafish live in social groups composed of varying numbers of individuals, depending mainly on the water flow of the site where they live. In still and slow-flowing waters, zebrafish have been found in small groups of 7–10 individuals, while in fast-flowing rivers, they can be found in large shoals of up to 300 fish (12, 13). The typical laboratory housing for zebrafish consists of transparent tanks connected to a flow-through system. The tanks are generally kept without environmental enrichment and their volume ranges from 1 to 10 L (11). The tanks have a water flow rate of about 10 L/h. Graham et al. (12) and Varga (14) suggested a stocking density of ~5 fish per liter, but the Federation of European Laboratory Animal Science Associations (FELASA), in its “housing and husbandry recommendations,” reported that a fish density of between 3 and 12 adult fish/L has no impact on reproductive performance. It has also been suggested that neighboring transparent tanks could act as potential stress reducers (11).

Despite the variability of environmental conditions in nature, a dark/light cycle of 10/14 h is recommended. That said, a 12/12 h cycle does not seem to affect animal well-being (11). Conversely, water quality may affect zebrafish well-being, although the same authors suggest that zebrafish seem adaptable to a wide range of conductivities (150–1,700 μS/cm) and pH values (6–10). Nitrogen compounds are toxic to fish and total ammonia, nitrite and nitrate levels should be kept below 0.1, 0.3, and 25 mg/L, respectively. Although changes in the dark/light cycle or water conditions could be associated with reduced egg production, the zebrafish is adaptable and can survive in a wide range of laboratory conditions (11).

The assessment of welfare in this animal species is based on reproductive success and the absence of signs of illness or excessive stress. Although cortisol levels are a useful marker of stress in rodents, and can also be assessed in fish, either by analyzing the water or as total body content, they do not seem to be a good indicator of fish welfare (15).

The zebrafish are widely used animal models in several research fields, including translational study of human and animal diseases (16–18), developmental biology (19), and pharmacology and toxicology (20, 21).

Since this animal model may represent a valid alternative to the use of higher-order animals, such as mammals, its use complies with article 13 of the EU directive on the protection of animals used for scientific purposes (Directive 2010/63/EU). This directive provides specific guidelines, requiring researchers to choose procedures which “involve animals with the lowest capacity to experience pain, suffering, distress or lasting harm.” Moreover, some authors argue that since the zebrafish is a “lower vertebrate,” its use complies with the “3 Rs” principles (22), extending the replacement concept to less sentient animals in general.

Even though rodents, such as mice (23), rats and prairie voles (24), are the current “go to” models for studying human social disorders, the social activity of zebrafish makes this species a valuable model for behavioral neuroscience research. Furthermore, unlike rodents, zebrafish are predominantly diurnal and less sensitive to environmental disturbances (25), and therefore facilitate behavioral observation. According to Saverino and Gerlai (19), the zebrafish also shows a higher degree of social cohesion compared with rodents. Finally, from a welfare perspective, although both species are social sentient beings, rodents, compared with zebrafish, adapt less easily to laboratory conditions.

Adult zebrafish, both in natural and in laboratory conditions, form groups to maximize their foraging efficiency and avoid predation (26). At 2 weeks of age, young zebrafish start to swim close to each other, forming social groups (27). The group of fish that “remain together for social reasons” is commonly termed a shoal (28), whereas a school is any group of fish within a shoal that exhibits a collective behavior characterized by alignment of bodies and coordinated swimming velocity (28). This schooling behavior has evolutionary advantages, such as more effective predator evasion and increased swimming efficiency (28, 29). Even though there are significant differences between shoaling and schooling, these two terms are often used interchangeably in research studies. Study of the zebrafish behavioral repertoire includes behaviors related to single individuals, such as modalities of swimming (30) and of prey capture (31), emotional responses to stimuli (32), and cognitive abilities (33), as well as group-level behaviors, such as shoaling, schooling (34) and courtship (35).

The two major approaches employed to investigate the diversity of social behavior displayed by animals, including humans, focus either on the mechanism or on the function of the studied behavior (36). To investigate the mechanisms of behaviors, neuroscientists have developed highly specialized tool kits that allow exploration of normal and abnormal social behaviors, particularly in species well-suited to the laboratory (37), such as mice (38) and zebrafish (19, 39). In the laboratory, the study of zebrafish group forming is fundamentally approached in two different ways (40). One is to observe freely moving fish and record various behavioral parameters of a shoal, such as distances between subjects and synchronization of movements within the shoal (41). The second is to conduct a social preference test, which consists of using social stimuli in order to investigate the behavioral response of a single fish to a shoal/s (19).

Additional methods to test social behavior in zebrafish are the mirror biting test and the predator exposure test. The mirror biting test involves measuring the social/aggressive response of a solitary zebrafish to its mirror image (42). The predator exposure test, involving the presence of live or robotic, sympatric or allopatric, predators, induces stress and fear in zebrafish, increasing their shoal cohesion (43); this anti-predatory response has been mostly employed to study anxiety and fear-related behavior (44).

The Social Preference Test

Social preference can be defined as the predilection of individuals to live near conspecifics (45). In zebrafish, this social behavior is assessed by observing how an individual responds to, or interacts with, a social stimulus. Social preference tests have been developed for zebrafish that are similar to those used in rodents (46). Social preference tests are composed of two operational phases. The first is the habituation phase, during which the tested zebrafish is left alone in a chamber of the test tank to explore the novel environment. The second is the interaction phase, which starts with the introduction of the social stimulus consisting of one, or usually two, small groups of live conspecifics. Alternatively, the social stimulus can consist of a pre-recorded video of live fish shown on a computer monitor, computer animated (moving) images of zebrafish (40), or virtual reality systems (47).

To test social behavior toward a single stimulus, a rectangular-shaped tank can be used; this is divided into two chambers with a transparent barrier that allows visual contact between the tested fish and the shoal. To test, simultaneously, preference between two different social stimuli, it is common to use a rectangular tank divided into three chambers (Figure 1A). Alternatively, a T-maze, adapted for this same purpose, can be used; in this case, the guillotine doors are used to seal off the horizontal section of the maze, which is then divided into three chambers (Figures 1B,C). The T-maze is a laboratory apparatus commonly used to test cognitive abilities in rodents (48).

FIGURE 1

Figure 1. (A) social preference test tank with three chambers (five areas) and two social stimuli. a) left social stimulus chamber; b) +c) +d) tested fish chamber; e) right social stimulus chamber; b) area of social preference for the left social stimulus; d) area of social preference for the right social stimulus c) area of no social preference; (B) T-maze modified for the social preference test with two social stimuli. (C) T-maze modified for the social preference test with one social stimulus. The dashed lines show where additional chamber dividers can potentially be placed.

During the test, the fish are left to swim and roam free within their respective chambers (26) and the behavioral response of the tested zebrafish is video-recorded with a camera and tracked using specific software (see Supplementary Video). Social preference is usually assessed by measuring the time spent by the observed fish in the areas proximal to the social stimulus; this time is then expressed as a percentage of the total time. The preference area can also be divided into zones of “strong” and “weak” social preference, according to the distance from the social stimulus chamber, as recently reported by Aslanzadeh et al. (49) and Landin et al. (50).

The social preference test could be useful for assessing variables that can influence zebrafish social behavior in laboratory conditions, and for investigating, from a translational perspective, the effects of drugs, medications and hormones. The social preference test may also be useful in efforts to find a valid zebrafish model for human neuropsychiatric and neurodevelopmental disorders characterized by social impairments.

It is well-known that social behavior assessments can be influenced by multiple factors, such as differences in individual phenotypes, life-history stages and social contexts (37). Social preference in zebrafish can be influenced by many endogenous and exogenous variables. These variables may be classified into two categories: the individual characteristics of the observed fish, namely its age, sex and personality, and the characteristics of the group members (i.e., of the social stimulus in the social preference test), namely their number, size, sex ratio, phenotype, and kinship between individuals. On the other hand, the exogenous variables that may potentially affect social preference findings are essentially the different environmental conditions (i.e., the water temperature and the tank volume), the test room brightness, the size and number of the preference areas, the presence of environmental enrichment, and the duration of the habituation and interaction phases.

Materials and Methods

A literature search of the PubMed database up to March 31st, 2020 was performed using the terms “social preference” (All Fields) AND “zebrafish” (All Fields). The search yielded 22 matches, but one article was excluded because it was not an original research paper. The references of these publications were examined and a further 8 papers were identified; these were critically evaluated and one was excluded because the authors tested more than one fish simultaneously, i.e., they combined a shoaling/schooling-test with a social preference test. Overall, 28 articles were included in this review (see Figure 2 for a schematic summary of the methodology) and then grouped into three categories: 4 studies carried out with untreated wild-type (WT) zebrafish, 20 with pharmacologically treated WT zebrafish, and 4 with genetically manipulated fish. Table 1 gives details of the experimental protocols of all the studies included in the review.

FIGURE 2

Figure 2. PRISMA flow diagram of the literature search process.

TABLE 1

Table 1. An overview of social preference test in zebrafish.

Studies Carried Out With Untreated WT Zebrafish

The purpose of studies of this kind is to observe and describe the variables that can affect zebrafish social behavior in laboratory conditions. The studies in this category examined the influence of phenotype and environmental conditions, as well as the perception of chemosensory cues in WT zebrafish.

An early study of factors affecting zebrafish social preference focused on visual signals, and in particular on fish pigment patterns (51). Engeszer and colleagues reported that zebrafish showed a strong positive social preference for individuals with a similar phenotype: WT preferred WT, and nacre (strains with no melanophore stripes) preferred nacre (70). Moreover, the authors suggested that visual social preference in zebrafish is not innate, but depends on early environmental conditions, since fish reared in isolation did not show any phenotypic preference, whereas WT raised with nacre siblings preferred nacre, and nacre raised with WT siblings preferred WT (51). The visual characteristics of both living zebrafish and computer-animated zebrafish images could also affect social preference (19). When social stimuli consisted of conspecifics of different sizes, tested zebrafish preferred to interact with fish of larger size, presumably to reduce predation risks (49). In addition, WT AB strain zebrafish of the same age and size and seem to prefer unfamiliar over familiar conspecifics when the separation barrier allows the passage of some water and they are allowed to perceive chemosensory cues (26). Another variable that could influence social preference in zebrafish is water temperature, an abiotic parameter critical for all acquatic animals. Although wild zebrafish have a wide thermal tolerance (from 6.7 to 41.7°C), reduced social preference has been observed as an effect of increasing the water temperature of the rearing tanks from 26 to 34 °C for 21 days (52).

Studies Carried Out With Pharmacologically Treated WT Zebrafish

The studies in this category were conducted with the aim of identifying the effects of drugs, medications and hormones on social behavior, highlighting their translational implications.

In the last few years, numerous neurobehavioral studies have been carried out to test the effects of different molecules on zebrafish social preference. Results suggest that social preference in adult WT fish may be modulated using the neuropeptides isotocin and vasotocin (homologs of mammalian oxytocin and arginine-vasopressin) and their antagonists (57, 59). This hypothesis has been validated in other freshwater fish species on the basis of evidence that isotocin modulates fish responsiveness to social stimuli (71), in line with what has been observed with oxytocin in mammals (72, 73). In both larvae and adult zebrafish, social preference was abolished after administration of the glutamate antagonist MK-801, which worked by blocking the N-methyl-D-aspartate receptors (56, 60, 63). Treatments with zebrafish “oxytocin” (zOT) or with carbetocin, a zOT receptor agonist, reversed social deficits in zebrafish induced by exposure to the antagonist MK-801, while the zOT receptor antagonist L-368,899 did not reverse the same deficits (63). Administration of L-368,899 was found to inhibit social preference in adult and larval zebrafish, strengthening the evidence that zOT receptors are involved in the regulation of social behavior (50).

Scerbina et al. (27) suggested that genetic differences, too, can affect both behavioral and neurochemical responses in WT zebrafish. In a condition characterized by impaired dopamine-regulated motivation and/or reward mechanisms, induced experimentally through treatment with a dopamine receptor antagonist (SCH23390), WT AB strain fish showed reduced social preference compared with untreated fish of the same strain. On the contrary, the WT short fin (SF) strain, submitted to the same treatment, showed no differences compared with untreated fish of the same strain (27). Similarly, both chronic alcohol exposure and alcohol withdrawal abolished social preference in WT AB strain zebrafish, but not in SF strain animals (53). Conversely, both alcohol exposure during embryonic development (64) and acute alcohol treatment (60, 65) were found to affect social preference in the two WT strains considered. Zebrafish social preference was also impaired when acute exposure to alchool was associated with taurine, a β-amino sulfonic acid with a neuromodulatory function that influences complex behaviors (21). Moreover, in AB larvae, chronic exposure to sodium valproate, an anti-epileptic drug, markedly reduced zebrafish social preference (45).

Reductions in zebrafish social preference were observed in sick adult fish with an inflammatory response induced by bacterin inoculation (17), and in adult zebrafish chronically exposed to untreated tannery effluents, this latter evidence indicating a neurotoxic action of bioaccumulated pollutants, predominantly heavy metals and toxic organic compounds (20). Chronic exposure to acesulfame, an artificial sweetener considered a new environmental pollutant, reduced social preference in adult WT AB strain fish (66).

Social preference in adult SF strain animals was not affected by administration of drugs such as lysergic acid diethylamide (54), ibogaine (58), or ketamine (55), whereas it has been found to be promoted by amphetamines (61) and decreased by administration of the psychotropic drugs fluoxetine and diazepam (62).

Studies Carried Out With Genetically Engineered Zebrafish

This category includes studies investigating human neuropsychiatric disorders from a genetic point of view. Their main aim is to find a valid zebrafish model for autism spectrum disorder.

Recent studies have provided evidence suggesting that genetic differences result in different pattern of social behavior (74) since several genes participate in social preference development in zebrafish. A single mutation in the zebrafish gene otpa, involved in the development of “oxytocinergic” neurons and in hypothalamic functions, seemed to reduce fish social preference by impairing neuropeptide switching in the “oxytocin” neuronal system (67). Zebrafish reln mutants, characterized by alterations in the signaling pathway of reelin, a glycoprotein important for brain patterning during development, did not show reduced social preference (68). In zebrafish, knocking out of dyrk1aa, a gene that has been shown to exhibit features potentially relevant to human autism spectrum disorders, caused impairment of social preference (49). Instead, oxtr mutant fish, lacking a functional “oxytocin” receptor, displayed normal social preference for conspecifics (69).

Discussion

The scientific literature suggests that the standardization of behavioral tests is an urgent requirement in many research fields (75, 76), since the implementation of standardized approaches to the study of social behavior in zebrafish will improve the reliability and usefulness of studies using these animals. Moreover, sharing methods and data between research laboratories could be the key to minimizing the number of animals used for the same purpose. Based on this evidence, the main goal of this review was to evaluate the determinants capable of influencing the results of social preference tests and to provide guidelines for standardizing social preference assays.

Endogenous Factors

Several studies have found that zebrafish prefer socializing with conspecifics of similar phenotypes, age and size, and that these preferences are shown toward both live and computer-animated fish (19, 77, 78). On the contrary, Aslanzadeh et al. (49) suggested that zebrafish prefer to interact with fish of a larger size probably in order to reduce predation risks. With regard to zebrafish phenotypes, the studies considered in the present review focused mainly on two WT strains: AB and SF. Even though these strains look morphologically identical, the genetic variance between them could influence their social preferences (27). For this reason, and with a view to standardizing social preference assays, it is suggested that both size and phenotype should always be taken into account when performing social preference tests.

With regard to social stimuli, it is important, first, to mention the lack of data on the level of kinship of the subjects used to form the groups, even though it is conceivable that aggressive behaviors within groups could affect the preference of tested fish. The second point is the high variability of the number of individuals employed to test social stimuli. Indeed, the reviewed studies employed groups ranging from 1 to 15 adults, and from 1 to 6 larvae.

Moreover, in sexually mature zebrafish, a third crucial variable for interpretation of data in social stimuli studies is the sex ratio in the groups. After excluding the two studies carried out on zebrafish larvae, whose sex cannot be identified (45, 60), only a minority of the reviewed studies (4 of 26) were found to have used a balanced ratio of males to females as social stimuli. In four cases, the researchers employed only females in order to minimize male-to-male aggressive behavior during the test. Conversely, 17 studies did not clearly state the sex ratio of the fish utilized as the social stimulus, while one study employed a general mixed-sex group of fish (17). Since the social stimulus is a key variable when performing the social preference test, in accordance with Pham et al. (46), it is suggested to form stimulus groups with a balanced sex ratio, unless there are specific different goals.

Additionally, the sex of tested animals remains also a variability with 12 of the 26 studies testing an equal number of males and females, and eight using general mixed-sex samples. In four studies the authors did not clearly state the sex ratio of the tested fish, and in one study, not even the number of tested fish was reported (26).

Another aspect to be considered is the possible bias resulting from the personality (76) of the tested subject. In the studies reviewed—this review did not include the study by Seibt et al. (79), who tested five fish simultaneously—, only one individual was tested per experimental session. It could be crucial to measure, through standardized protocols, the boldness of fish before going on to test their social preference. This approach may make it possible to distinguish, and therefore determine, the sociability of both shyer and bolder individuals (80). Fontana et al. (21), for example, excluded from their analysis subjects that spent more than 80% of the interaction time immobile.

Exogenous Factors

In relation to the possible role of environmental factors in social preference testing, the reviewed literature was found to lack specific data. The tank and chamber sizes, as well as the volume and temperature of the water and the brightness of the test room could all influence social behavior and should always be taken into account and reported in detail. The size and number of preference areas could also influence the results of the experiment and therefore give rise to biases when comparing different studies. In addition, as reported by Pham and colleagues, when performing a binary choice test with a single social stimulus, it is essential to alternate the left/right position of the social stimulus between trials to overcome any lateral bias in the fish (46).

Even though social preference is mediated by vibration and chemosensory cues (58), several studies have suggested that sociability in zebrafish is mainly dependent on vision (60, 81). On this basis, the morphological traits of the fish are the main factors to be taken into account when testing sociability, yet without neglecting the other sensory stimuli. Although Pham et al. (46) argue that the transparent dividers between the different test tank chambers should be as tightly sealed as possible to prevent any uncontrolled influence of chemosensory cues (46), the presence of non-visual stimuli could actually be essential in enabling subjects to recognize familiar or unfamiliar groups of fish (26). It has been shown that even zebrafish larvae can distinguish related conspecifics through olfactory signals (82). Thirteen of the 28 reviewed studies employed watertight chambers or separate tanks, and four studies used computer-animated images. Computer vision, robotics and virtual reality technologies, by allowing social stimuli to be repeated identically, could improve the consistency of the social preference test and minimize the number of animals used in the study, but this approach raises a number of important considerations, such as additional costs, the need for specific knowledge and expertise, and the complete absence of all sensory stimulation other than visual stimulation. Of the studies reviewed in the present investigation, only two definitely allowed olfactory stimulation during tests, while three studies used the modified T-maze, whose guillotine doors presumably allow the passage of some water. Conversely, six studies did not state clearly whether or not the barrier between the tested subject and the social stimulus was watertight.

Finally, when assessing social preference in zebrafish, the other main variables to consider are the duration of the habituation and interaction phases. In the reviewed studies, the habituation phase lasted from 30 s to 20 min, with a mode of 30 sec, but seven studies did not report the habituation time at all. The interaction phase lasted between 10 s and 30 min, with a mode of 5 min. Standardization of the test duration, unless there are special needs, would be beneficial, making it easier to compare different studies and to determine inter-assay variability. Like Raymond et al. (83), we suggest prolonging the habituation phase to 6 min, as a significant increase in exploratory behavior and a decrease in freezing behavior are typically observed in this time frame. As mentioned, the habituation phase could also be used to assess the personality of each tested individual before performing the social preference test.

Recommendations

In compliance with the Reduction criterion, (84), and considering the findings of Angiulli et al. (52), we suggest that significant data may be obtained using a number of tested animals ranging from twelve to fifteen. Moreover, with regard to the social stimulus, the findings of the present review suggest using groups of four individuals per stimulus, well-matched for sex, development stage and familiarity.

The scientific literature on zebrafish social preference testing suggests that both endogenous and exogenous factors could influence the behavioral response of the observed subjects. Essentially, the endogenous factors are their morphological and behavioral characteristics, i.e., phenotype, while the exogenous factors include aspects of fish management, environmental parameters, and possible pharmacological treatments.

Considering the main objective of this investigation, we suggest that recommendations/guidelines for a standardized social preference test might be summarized as follows:

• Duration of habituation and interaction phase: 6 min. Assessing the time required by the tested fish to start displaying exploratory behavior could be useful for determining social preference in relation to animal personality.

• Social stimulus. The social stimulus group should comprise four conspecific fish, familiar with each other in order to prevent aggressive behaviors, and having a balanced sex ratio. These fish should be the same age/size as the tested fish.

• Apparatus. The apparatus used should be an adapted T-maze with non-watertight barriers, to allow social information to be derived also from chemosensory cues in situations in which kinship with the social group is crucial. On the contrary, the transparent dividers between the different test tank chambers should be as tightly sealed as possible when kinship with the social group may be a confounding variable.

• Environment. The water should be changed for each tested subject and the environmental conditions should be as similar as possible to those of the rearing tank. Changing the water can be a source of stress for these animals, and this sensitivity to changes in water conditions must be borne in mind when the dividers between the tank chambers are non-watertight. The volume and temperature of the water and the brightness of the test room should remain as constant as possible.

Conclusion

Despite possible biases resulting from the impossibility of controlling all the variables involved, the social preference test remains a simple and versatile assay that could provide revealing new insights into the mechanisms of neuropsychiatric and neurodevelopmental diseases characterized by social ability impairments. Application of this test in neurobehavioral research might offer two main advantages. Compared to shoaling and schooling assays, social preference test has the advantage of allowing examination of a single individual as opposed to a group of individuals. Moreover, compared to the mirror biting test and the predator exposure test, social preference test might be considered a low-stress assay since the social stimulus is less threatening.

Data Availability Statement

The original contributions generated in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author Contributions

AO and RL: conceptualization, methodology, investigation, and resources and original draft preparation. FS, AO, RL, VN, and AG: writing, review, and editing. MM and BF: supervision. FS and AG: supervision and funding acquisition. FS: project administration. All authors contributed to the article and approved the submitted version.

Funding

This work was supported in part by Ricerca Corrente–Italian Ministry of Health 2019–RC5X1000.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We thank Catherine J. Wrenn for her expert editorial assistance.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fvets.2020.590057/full#supplementary-material

References

1. Mayden RL, Tang KL, Conway KW, Freyhof J, Chamberlain S, Haskins M, et al. Phylogenetic relationships of Danio within the order Cypriniformes: a framework for comparative and evolutionary studies of a model species. J ExpZool B Mol Dev Evol. (2007) 308B:642–54. doi: 10.1002/jez.b.21175

CrossRef Full Text | Google Scholar

2. King A. Researchers Find Their Nemo. Cell. (2009) 139:843–6. doi: 10.1016/j.cell.2009.11.019

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Suurväli J, Whiteley AR, Zheng Y, Gharbi K, Leptin M, Wiehe T. The laboratory domestication of zebrafish: from diverse populations to inbred substrains. Mol Biol Evol. (2020) 37:1056–69. doi: 10.1093/molbev/msz289

PubMed Abstract | CrossRef Full Text | Google Scholar

4. McClure MM, McIntyre PB, McCune AR. Notes on the natural diet and habitat of eight danionin fishes, including the zebrafish Danio rerio. J Fish Biol. (2006) 69:553–70. doi: 10.1111/j.1095-8649.2006.01125.x

CrossRef Full Text | Google Scholar

5. Spence R, Fatema MK, Reichard M, Huq KA, Wahab MA, Ahmed ZF, et al. The distribution and habitat preferences of the zebrafish in Bangladesh. J Fish Biol. (2006) 69:1435–48. doi: 10.1111/j.1095-8649.2006.01206.x

CrossRef Full Text | Google Scholar

6. Lawrence C. The husbandry of zebrafish (Danio rerio): a review. Aquaculture. (2007) 269:1–20. doi: 10.1016/j.aquaculture.2007.04.077

CrossRef Full Text | Google Scholar

7. van den Hurk R, Schoonen W, van Zoelen GA, Lambert JGD. The biosynthesis of steroid glucuronides in the testis of the zebrafish, Brachydanio rerio, and their pheromonal function as ovulation inducers. Gen Comp Endocrinol. (1987) 68:179–88. doi: 10.1016/0016-6480(87)90027-X

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Ribas L, Piferrer F. The zebrafish (Danio rerio) as a model organism, with emphasis on applications for finfish aquaculture research. Rev Aquaculture. (2014) 6:209–40. doi: 10.1111/raq.12041

CrossRef Full Text | Google Scholar

9. Gerhard GS, Kauffman EJ, Wang X, Stewart R, Moore JL, Kasales CJ, et al. Life spans and senescent phenotypes in two strains of Zebrafish (Danio rerio). Exp Gerontol. (2002) 37:1055–68. doi: 10.1016/S0531-5565(02)00088-8

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Lidster K, Readman GD, Prescott MJ, Owen SF. International survey on the use and welfare of zebrafish Danio rerio in research. J Fish Biol. (2017) 90:1891–905. doi: 10.1111/jfb.13278

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Aleström P, D'Angelo L, Midtlyng PJ, Schorderet DF, Schulte-Merker S, Sohm F, et al. Zebrafish: housing and husbandry recommendations. Lab Anim. (2020) 54:213–24. doi: 10.1177/0023677219869037

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Graham C, von Keyserlingk MAG, Franks B. Zebrafish welfare: natural history, social motivation and behaviour. Appl Anim Behav Sci. (2018) 200:13–22. doi: 10.1016/j.applanim.2017.11.005

CrossRef Full Text | Google Scholar

13. Suriyampola PS, Shelton DS, Shukla R, Roy T, Bhat A, Martins EP. Zebrafish Social Behavior in the Wild. Zebrafish. (2016) 13:1–8. doi: 10.1089/zeb.2015.1159

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Varga ZM. Aquaculture, husbandry, and shipping at the Zebrafish International Resource Center. Meth Cell Biol. (2016) 135:509–34. doi: 10.1016/bs.mcb.2016.01.007

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Ellis T, Yildiz HY, López-Olmeda J, Spedicato MT, Tort L, Øverli Ø, et al. Cortisol and finfish welfare. Fish Physiol Biochem. (2012) 38:163–88. doi: 10.1007/s10695-011-9568-y

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Fichi G, Naef V, Barca A, Longo G, Fronte B, Verri T, et al. Fishing in the cell powerhouse: zebrafish as a tool for exploration of mitochondrial defects affecting the nervous system. Int J Mol Sci. (2019) 20:2409. doi: 10.3390/ijms20102409

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Kirsten K, Soares SM, Koakoski G, Carlos Kreutz L, Barcellos LJG. Characterization of sickness behavior in zebrafish. Brain Behav Immun. (2018) 73:596–602. doi: 10.1016/j.bbi.2018.07.004

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Naef V, Mero S, Fichi G, D'Amore A, Ogi A, Gemignani F, et al. Swimming in deep water: zebrafish modeling of complicated forms of hereditary spastic paraplegia and spastic ataxia. Front Neurosci. (2019) 13:1–17. doi: 10.3389/fnins.2019.01311

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Saverino C, Gerlai R. The social zebrafish: behavioral responses to conspecific, heterospecific, and computer animated fish. Behav Brain Res. (2008) 191:77–87. doi: 10.1016/j.bbr.2008.03.013

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Chagas TQ, da Silva Alvarez TG, Montalvão MF, Mesak C, Rocha TL, da Costa Araújo AP, et al. Behavioral toxicity of tannery effluent in zebrafish (Danio rerio) used as model system. Sci Total Environ. (2019) 685:923–33. doi: 10.1016/j.scitotenv.2019.06.253

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Fontana BD, Stefanello FV, Mezzomo NJ, Müller TE, Quadros VA, Parker MO, et al. Taurine modulates acute ethanol-induced social behavioral deficits and fear responses in adult zebrafish. J Psychiatr Res. (2018) 104:176–82. doi: 10.1016/j.jpsychires.2018.08.008

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Stewart AM, Braubach O, Spitsbergen J, Gerlai R, Kalueff AV. Zebrafish models for translational neuroscience research: from tank to bedside. Trends Neurosci. (2014) 37:264–78. doi: 10.1016/j.tins.2014.02.011

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Rein B, Ma K, Yan Z. A standardized social preference protocol for measuring social deficits in mouse models of autism. Nat Protoc. (2020) 15:3464–77. doi: 10.1038/s41596-020-0382-9

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Beery AK, Christensen JD, Lee NS, Blandino KL. Specificity in sociality: mice and prairie voles exhibit different patterns of peer affiliation. Front Behav Neurosci. (2018) 12:50. doi: 10.3389/fnbeh.2018.00050

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Geng Y, Peterson RT. The zebrafish subcortical social brain as a model for studying social behavior disorders. Dis Models Mech. (2019) 12:dmm039446. doi: 10.1242/dmm.039446

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Norton WHJ, Manceau L, Reichmann F. The visually mediated social preference test: a novel technique to measure social behavior and behavioral disturbances in zebrafish. Methods Mol Biol. (2019) 2011:121–32. doi: 10.1007/978-1-4939-9554-7_8

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Scerbina T, Chatterjee D, Gerlai R. Dopamine receptor antagonism disrupts social preference in zebrafish: a strain comparison study. Amino Acids. (2012) 43:2059–72. doi: 10.1007/s00726-012-1284-0

CrossRef Full Text | Google Scholar

28. Pitcher TJ, Parrish JK. Functions of shoaling behaviour in teleosts. In: Pitcher TJ, editor. The Behaviour of Teleost Fishes. 2nd ed. London: Croom Helm. p. 363–439.

PubMed Abstract | Google Scholar

29. Abaid N, Porfiri M. Fish in a ring: spatio-temporal pattern formation in one-dimensional animal groups. J R Soc Interface. (2010) 7:1441–53. doi: 10.1098/rsif.2010.0175

CrossRef Full Text | Google Scholar

30. Wakamatsu Y, Ogino K, Hirata H. Swimming capability of zebrafish is governed by water temperature, caudal fin length and genetic background. Sci Rep. (2019) 9:16307. doi: 10.1038/s41598-019-52592-w

CrossRef Full Text | Google Scholar

31. Bianco IH, Kampff AR, Engert F. Prey capture behavior evoked by simple visual stimuli in larval zebrafish. Front Syst Neurosci. (2011) 5:101. doi: 10.3389/fnsys.2011.00101

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Abreu MS, Maximino C, Banha F, Anastácio PM, Demin KA, Kalueff AV, et al. Emotional behavior in aquatic organisms? Lessons from crayfish and zebrafish. J Neurosci Res. (2020) 98:764–79. doi: 10.1002/jnr.24550

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Oliveira RF. Mind the fish: zebrafish as a model in cognitive social neuroscience. Front Neural Circuits. (2013) 7:1–15. doi: 10.3389/fncir.2013.00131

PubMed Abstract | CrossRef Full Text

34. Miller N, Gerlai R. From schooling to shoaling: patterns of collective motion in zebrafish (Danio rerio). PLoS ONE. (2012) 7:e48865. doi: 10.1371/journal.pone.0048865

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Darrow KO, Harris WA. Characterization and Development of Courtship in Zebrafish, Danio rerio. Zebrafish. (2004) 1:40–5. doi: 10.1089/154585404774101662

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Székely T, Moore AJ, Komdeur J. Social Behaviour: Genes, Ecology and Evolution. Cambridge: Cambridge University Press (2010).

Google Scholar

37. Taborsky M, Hofmann HA, Beery AK, Blumstein DT, Hayes LD, Lacey EA, et al. Taxon matters: promoting integrative studies of social behavior. Trends Neurosci. (2015) 38:189–91. doi: 10.1016/j.tins.2015.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Silverman JL, Yang M, Lord C, Crawley JN. Behavioural phenotyping assays for mouse models of autism. Nat Rev Neurosci. (2010) 11:490–502. doi: 10.1038/nrn2851

CrossRef Full Text | Google Scholar

39. Mahabir S, Chatterjee D, Buske C, Gerlai R. Maturation of shoaling in two zebrafish strains: a behavioral and neurochemical analysis. Behav Brain Res. (2013) 247:1–8. doi: 10.1016/j.bbr.2013.03.013

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Robert G. Animated images in the analysis of zebrafish behavior. Curr Zool. (2017) 63:35–44. doi: 10.1093/cz/zow077

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Miller NY, Gerlai R. Oscillations in shoal cohesion in zebrafish (Danio rerio). Behav Brain Res. (2008) 193:148–51. doi: 10.1016/j.bbr.2008.05.004

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Audira G, Sampurna B, Juniardi S, Liang S-T, Lai Y-H, Hsiao C-D. A versatile setup for measuring multiple behavior endpoints in zebrafish. Inventions. (2018) 3:75. doi: 10.3390/inventions3040075

CrossRef Full Text | Google Scholar

43. Spinello C, Yang Y, Macrì S, Porfiri M. Zebrafish adjust their behavior in response to an interactive robotic predator. Front Rob AI. (2019) 6:1–14. doi: 10.3389/frobt.2019.00038

CrossRef Full Text | Google Scholar

44. Robert G. Zebrafish antipredatory responses: a future for translational research? Behav Brain Res. (2010) 207:223–31. doi: 10.1016/j.bbr.2009.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Liu X, Zhang Y, Lin J, Xia Q, Guo N, Li Q. Social preference deficits in juvenile zebrafish induced by early chronic exposure to sodium valproate. Front Behav Neurosci. (2016) 10:1–8. doi: 10.3389/fnbeh.2016.00201

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Pham M, Raymond J, Hester J, Kyzar E, Gaikwad S, Bruce I, et al. Assessing social behavior phenotypes in adult zebrafish: shoaling, social preference, and mirror biting tests. In: Kalueff AV, Stewar AM, editors. Zebrafish Protocols for Neurobehavioral Research. Berlin: Springer (2012). p. 231–46.

Google Scholar

47. Stowers JR, Hofbauer M, Bastien R, Griessner J, Higgins P, Farooqui S, et al. Virtual reality for freely moving animals. Nat Methods. (2017) 14:995–1002. doi: 10.1038/nmeth.4399

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Deacon RMJ, Rawlins JNP. T-maze alternation in the rodent. Nat Protoc. (2006) 1:7–12. doi: 10.1038/nprot.2006.2

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Aslanzadeh M, Ariyasiri K, Kim O-H, Choi T-I, Lim J-H, Kim H-G, et al. The body size of stimulus conspecifics affects social preference in a binary choice task in wild-type, but not in dyrk1aa mutant, Zebrafish. Zebrafish. (2019) 16:262–7. doi: 10.1089/zeb.2018.1717

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Landin J, Hovey D, Xu B, Lagman D, Zettergren A, Larhammar D, et al. Oxytocin receptors regulate social preference in zebrafish. Sci Rep. (2020) 10:5435. doi: 10.1038/s41598-020-61073-4

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Engeszer RE, Ryan MJ, Parichy DM. Learned social preference in zebrafish. Curr Biol. (2004) 14:881–4. doi: 10.1016/j.cub.2004.04.042

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Angiulli E, Pagliara V, Cioni C, Frabetti F, Pizzetti F, Alleva E, et al. Increase in environmental temperature affects exploratory behaviour, anxiety and social preference in Danio rerio. Sci Rep. (2020) 10:5385. doi: 10.1038/s41598-020-62331-1

PubMed Abstract | CrossRef Full Text | Google Scholar

53. 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

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Grossman L, Utterback E, Stewart A, Gaikwad S, Chung KM, Suciu C, et al. Characterization of behavioral and endocrine effects of LSD on zebrafish. Behav Brain Res. (2010) 214:277–84. doi: 10.1016/j.bbr.2010.05.039

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Riehl R, Kyzar E, Allain A, Green J, Hook M, Monnig L, et al. Behavioral and physiological effects of acute ketamine exposure in adult zebrafish. Neurotoxicol Teratol. (2011) 33:658–67. doi: 10.1016/j.ntt.2011.05.011

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Sison M, Gerlai R. Behavioral performance altering effects of MK-801 in zebrafish (Danio rerio). Behav Brain Res. (2011) 220:331–7. doi: 10.1016/j.bbr.2011.02.019

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Braida D, Donzelli A, Martucci R, Capurro V, Busnelli M, Chini B, et al. Neurohypophyseal hormones manipulation modulate social and anxiety-related behavior in zebrafish. Psychopharmacology. (2012) 220:319–30. doi: 10.1007/s00213-011-2482-2

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Cachat J, Kyzar EJ, Collins C, Gaikwad S, Green J, Roth A, et al. Unique and potent effects of acute ibogaine on zebrafish: the developing utility of novel aquatic models for hallucinogenic drug research. Behav Brain Res. (2013) 236:258–69. doi: 10.1016/j.bbr.2012.08.041

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Lindeyer CM, Langen EMA, Swaney WT, Reader SM. Nonapeptide influences on social behaviour: effects of vasotocin and isotocin on shoaling and interaction in zebrafish. Behaviour. (2015) 152:897–915. doi: 10.1163/1568539X-00003261

CrossRef Full Text | Google Scholar

60. Dreosti E, Lopes G, Kampff AR, Wilson SW. Development of social behavior in young zebrafish. Front Neural Circuits. (2015) 9:1–9. doi: 10.3389/fncir.2015.00039

CrossRef Full Text | Google Scholar

61. Ponzoni L, Sala M, Braida D. Ritanserin-sensitive receptors modulate the prosocial and the anxiolytic effect of MDMA derivatives, DOB and PMA, in zebrafish. Behav Brain Res. (2016) 314:181–9. doi: 10.1016/j.bbr.2016.08.009

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Giacomini ACVV, Abreu MS, Giacomini LV, Siebel AM, Zimerman FF, Rambo CL, et al. Fluoxetine and diazepam acutely modulate stress induced-behavior. Behav Brain Res. (2016) 296:301–10. doi: 10.1016/j.bbr.2015.09.027

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Zimmermann FF, Gaspary KV, Siebel AM, Bonan CD. Oxytocin reversed MK-801-induced social interaction and aggression deficits in zebrafish. Behav Brain Res. (2016) 311:368–74. doi: 10.1016/j.bbr.2016.05.059

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Baggio S, Mussulini BH, de Oliveira DL, Gerlai R, Rico EP. Embryonic alcohol exposure leading to social avoidance and altered anxiety responses in adult zebrafish. Behav Brain Res. (2018) 352:62–9. doi: 10.1016/j.bbr.2017.08.039

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Paiva IM, Sartori BM, Castro TFD, Lunkes LC, Virote B, do CR, et al. Behavioral plasticity and gene regulation in the brain during an intermittent ethanol exposure in adult zebrafish population. Pharmacology Biochemistry and Behavior, 192, 172909. doi: 10.1016/j.pbb.2020.172909

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Dong G, Li X, Han G, Du L, Li M. Zebrafish neuro-behavioral profiles altered by acesulfame (ACE) within the range of “no observed effect concentrations (NOECs).” Chemosphere. (2020) 243:125431. doi: 10.1016/j.chemosphere.2019.125431

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Wircer E, Blechman J, Borodovsky N, Tsoory M, Nunes AR, Oliveira RF, et al. Homeodomain protein Otp affects developmental neuropeptide switching in oxytocin neurons associated with a long-term effect on social behavior. ELife. (2017) 6:1–25. doi: 10.7554/eLife.22170

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Dalla Vecchia E, Di Donato V, Young AMJ, Del Bene F, Norton WHJ. Reelin signaling controls the preference for social novelty in zebrafish. Front Behav Neurosci. (2019) 13:1–16. doi: 10.3389/fnbeh.2019.00214

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Ribeiro D, Nunes AR, Gliksberg M, Anbalagan S, Levkowitz G, Oliveira RF. Oxytocin receptor signalling modulates novelty recognition but not social preference in zebrafish. J Neuroendocrinol. (2020) 2019:1–9. doi: 10.1111/jne.12834

CrossRef Full Text | Google Scholar

70. White RM, Sessa A, Burke C, Bowman T, LeBlanc J, Ceol C, et al. Transparent adult zebrafish as a tool for in vivo transplantation analysis. Cell Stem Cell. (2008) 2:183–9. doi: 10.1016/j.stem.2007.11.002

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Reddon AR, O'Connor CM, Marsh-Rollo SE, Balshine S. Effects of isotocin on social responses in a cooperatively breeding fish. Anim Behav. (2012) 84:753–60. doi: 10.1016/j.anbehav.2012.07.021

CrossRef Full Text | Google Scholar

72. Ogi A, Mariti C, Baragli P, Sergi V, Gazzano A. Effects of stroking on salivary oxytocin and cortisol in guide dogs: preliminary results. Animals. (2020) 10:708. doi: 10.3390/ani10040708

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Rincon AV, Deschner T, Schülke O, Ostner J. Oxytocin increases after affiliative interactions in male Barbary macaques. Horm Behav. (2020) 119:104661. doi: 10.1016/j.yhbeh.2019.104661

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Tang W, Davidson JD, Zhang G, Conen KE, Fang J, Serluca F, et al. Genetic control of collective behavior in zebrafish. IScience. (2020) 23:100942. doi: 10.1016/j.isci.2020.100942

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Wahlsten D. Standardizing tests of mouse behavior: reasons, recommendations, and reality. Physiol Behav. (2001) 73:695–704. doi: 10.1016/S0031-9384(01)00527-3

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Way GP, Kiesel AL, Ruhl N, Snekser JL, McRobert SP. Sex differences in a shoaling-boldness behavioral syndrome, but no link with aggression. Behav Processes. (2015) 113:7–12. doi: 10.1016/j.beproc.2014.12.014

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Rosenthal GG, Ryan MJ. Assortative preferences for stripes in danios. Anim Behav. (2005) 70:1063–6. doi: 10.1016/j.anbehav.2005.02.005

CrossRef Full Text | Google Scholar

78. Snekser J, Ruhl N, Bauer K, McRobert S. The influence of sex and phenotype on shoaling decisions in zebraf. Int J Comp Psychol. (2010) 23:70–81.

Google Scholar

79. Seibt KJ, Piato AL, da Luz Oliveira R, Capiotti KM, Vianna MR, Bonan CD. Antipsychotic drugs reverse MK-801-induced cognitive and social interaction deficits in zebrafish (Danio rerio). Behav Brain Res. (2011) 224:135–9. doi: 10.1016/j.bbr.2011.05.034

CrossRef Full Text | Google Scholar

80. Way GP, Southwell M, McRobert SP. Boldness, aggression, and shoaling assays for zebrafish behavioral syndromes. J Visualized Exp. (2016) 2016:1–8. doi: 10.3791/54049

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Engeszer RE, Wang G, Ryan MJ, Parichy DM. Sex-specific perceptual spaces for a vertebrate basal social aggregative behavior. Proc Natl Acad Sci. (2008) 105:929–33. doi: 10.1073/pnas.0708778105

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Gerlach G, Hodgins-Davis A, Avolio C, Schunter C. Kin recognition in zebrafish: a 24-hour window for olfactory imprinting. Proc R Soc B: Biol Sci. (2008) 275:2165–70. doi: 10.1098/rspb.2008.0647

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Raymond J, Chanin S, Stewart AM, Kyzar E, Gaikwad S, Roth A, et al. Assessing habituation phenotypes in adult zebrafish: intra-and inter-trial habituation in the novel tank test. In: Kalueff AV, Stewar AM, editors. Zebrafish Protocols for Neurobehavioral Research. Totowa, NJ: Humana Press (2012). p. 273–85.

84. National Research Council (US), Committee on Recognition and Alleviation of Pain in Laboratory Animals. Pain in research animals: general principles and considerations. In: Recognition and Alleviation of Pain in Laboratory Animals. Washington, DC: National Academies Press (2009).

Google Scholar