Volume 12 Supplement 1
The Snark was a Boojum - reloaded
© Macrì and Richter 2015
Published: 24 August 2015
In this article, we refer to an original opinion paper written by Prof. Frank Beach in 1950 (“The Snark was a Boojum”). In his manuscript, Beach explicitly criticised the field of comparative psychology because of the disparity between the original understanding of comparativeness and its practical overly specialised implementation. Specialisation encompassed both experimental species (rats accounted for 70% of all subjects) and test paradigms (dominated by conditioning/learning experiments). Herein, we attempt to evaluate the extent to which these considerations apply to current behavioural neuroscience. Such evaluation is particularly interesting in the context of “translational research” that has recently gained growing attention. As a community, we believe that preclinical findings are intended to inform clinical practice at the level of therapies and knowledge advancements. Yet, limited reproducibility of experimental results and failures to translate preclinical research into clinical trial sindicate that these expectations are not entirely fulfilled. Theoretical considerations suggest that, before concluding that a given phenomenon is of relevance to our species, it should be observed in more than a single experimental model (be it an animal strain or species) and tested in more than a single standardized test battery. Yet, current approaches appear limited in terms of variability and overspecialised in terms of operative procedures. Specifically, as in 1950, rodents (mice instead of rats) still constitute the vast majority of animal species investigated. Additionally, the scientific community strives to homogenise experimental test strategies, thereby not only limiting the generalizability of the findings, but also working against the design of innovative approaches. Finally, we discuss the importance of evolutionary-adaptive considerations within the field of laboratory research. Specifically, resting upon empirical evidence indicating that developing individuals adjust their long-term phenotype according to early environmental demands, we propose that current rearing and housing standards do not adequately prepare experimental subjects to their actual adult environments. Specifically, while the adult life of a laboratory animal is characterized by frequent stimulations and challenges, the neonatal life is dominated by quietness and stability. We suggest that such form of mismatch may remarkably influence the reproducibility and reliability of experimental findings.
“The Snark was a Boojum”  is the title of a provocative Presidential address that Prof. Frank Beach delivered before the Division of Experimental Psychology of the American Psychological Association in 1949. The title comes from the quotation of a poem by Lewis Carrol, “The Hunting of the Snark”, the story of ten improbable characters hunting for a prey called “Snark”. Although such prey is generally harmless and tasty, it entails a considerable risk whereby it may be mistaken for its dangerous conspecific “Boojum”. While the one who meets a Snark comes home safe, the one who encounters a Boojum suddenly disappears. Frank Beach paralleled “The Hunting of the Snark” to the direction being taken by comparative psychology in the 1950's and openly criticised the narrow approach that was characterizing this field of investigation back then. He systematically revised a subset of studies (all articles published between 1911 and 1948 in the Journal of Comparative and Physiological Psychology) and argued that the term “comparative” was close to lose its original meaning of “involving comparison between two or more branches of science or subjects of study” . His criticism principally grounded upon two specific aspects: (1) paucity of experimental species used in research; (2) limited number of experimental paradigms and domains investigated. With respect to the first aspect, Beach observed that, in spite of the admirable aim to derive fundamental theories resting upon a comparison across multiple species, the majority of experimental studies were conducted on white albino rats. In his analysis, Beach observed that, although the total number of published articles linearly increased between 1911 and 1948, the number of species studied approximately halved during that same time period. More dauntingly, he showed that, towards the end of 1940's, approximately 70% of all published articles were devoted to the Norway rat. With respect to the type of studies conducted, Frank Beach noted that the nature of the experimental paradigms adopted to derive general conclusions was scant. Specifically, he reported that, among the same subset of studies, those devoted to conditioning and learning, reflexes and simple reactions, and sensory capacities accounted for approximately 80% of all studies (with conditioning/learning representing the largest proportion). Other highly relevant fields (e.g. reproductive, social, and emotional behaviours) accounted for a negligible proportion of all studies.
Based on these considerations, Beach equated comparative psychologists with the improbable characters of the poem, and the white albino rats with the alleged “Snark” that ultimately manifested as the “Boojum”. Thus, under the assumption that rats constituted the species of choice in comparative psychology, experimenters employed them with the aim of disclosing the basic processes governing behaviour of a wide spectrum of taxa. With this perspective, rats represented the “Snark” capable of providing scholars with fundamental information about human behaviour. However, such an assumption turned out to be fundamentally wrong, because the conclusions derived from a single experimental species would not generalise to a larger context. Instead of constituting the desired target, laboratory rats turned out to be a limitedly informative tool that, rather than behoving scientists, had the capability to eradicate comparative psychologists. Back in 1950, rather than a “Snark”, laboratory rats epitomized the dangerous “Boojum”.
In this article, we argue that now a days we are facing a similar difficulty in applied research. Specifically, as preclinical neuroscientists, we are hunting a very few experimental “Boojums” (predominantly mice) while being persuaded that they constitute the “Snark” potentially disclosing the mystery of translational research.
From non-comparative to non-translational
Although the considerations reported in Beach's article were meant to pertain to comparative psychology, we believe that they are still valid and may generalise to the translational wave that behavioural neuroscientists are currently surfing. The word “translational” in fundamental research has become a sort of dogma that scientists have to adhere to in order to get their research funded and appreciated. Whilst the adjective “translational” originally referred to the process of translating text or words from one language to another, it has recently penetrated the field of biomedical sciences , within which it has rapidly attained a pivotal role. A simple PubMed search for the term “translational research” led to 4846 matches with the first reference dating back to 1993 in a study on cancer prevention . Within this realm, “translational” usually refers to the process of gathering evidence collected through different methodologies and transforming them into knowledge advancements (most often treatment/therapies) readily available to patients. Bench-to-bedside constitutes another suggestive phraseology frequently adopted to describe this process . However, in an attempt to reduce high attrition rates  during clinical trials and to bridge the gap between preclinical and clinical research, some novel biomedical research approaches also aim at “back-translating” clinical findings to measures in preclinical animal research. The pervasiveness of these concepts is echoed by their presence in names of laboratories (e.g.http://dceg.cancer.gov/about/organization/programs-hgp/ltg; http://hearing-research.med.nyu.edu; https://pharmacyschool.usc.edu/research/core-facilities/translational-lab/; ) grant programs (e.g. http://www.cc.nih.gov/ccc/btb/), funded research projects (e.g. EUHFAUTISM: European High-functioning Autism network: Translational research in a phenotypically well characterised sample) and journal articles reporting outcomes of preclinical research (e.g. [8–10]). However, despite the relatively recent use of these phraseologies, translational research has been conducted for many years  with the core idea being very close to the traditional - perhaps more general - concepts of “external validity”, i.e. “the possibility to extrapolate the findings obtained within a given experimental context (e.g., strain, species, laboratory, and time of the year) to other situations” , and “predictive validity”, i.e. the possibility to predict the efficacy of a therapeutic intervention in patients using animal models  (for comprehensive work on validity criteria, please refer to [13, 14]). Regardless of the terminology, these considerations reflect the importance that biomedical sciences are giving to the possibility to inform treatment and therapy resting upon information derived from fundamental research.
The attempt to translate fundamental research findings from the laboratory to the human patient entails the acknowledgement of the fact that the steps between the collection of preclinical experimental data and its practical adoption in human-centred functions (in vivo or in vitro) are arduous and enormous. The widespread failure to translate preclinical animal research to clinical trials [15, 16], however, suggests that this is not always taken seriously. In a 10-year review (1991-2000) of drug development, Kola and Landis  reported that the success rate from first-in-man to registration for all therapeutic areas was on average 11%, indicating that only one in nine compounds made it through development and finally got approved by the European and/or the US regulatory authorities. And the success rate was even worse for trials in specific research areas, such as oncology or woman's health . Furthermore, a recent finding in the field of inflammation has caused something of an uproar among scientific journalists: out of about 150 potential treatments for severe inflammation that have been found to work in mice not a single one worked in humans . Besides possible shortcomings in the clinical trials that may account for these high attrition rates, findings may also be explained by inadequate and biased animal data, overoptimistic conclusions drawn from methodologically flawed animal studies, and/or by the lack of external validity of some animal models . Thus, before claiming that a given phenomenon pertains to humans, based on preclinical studies, several conditions need to be met. Among these, it should be demonstrated that the phenomenon under investigation extrapolates to other conditions, thereby resisting the challenge of independent testing. Thus, a one dimensional experimental approach, not integrated with converging methodologies, will not allow generalising conclusions to a larger population, let alone to a different species. The proposed bench-to-bedside translation shall rest upon studies involving diverse experimental approaches, wherein diversity should encompass theoretical considerations, experimental species under investigation, laboratories, and experimental test paradigms.
Variability in the animal kingdom
Living organisms do vary; this is a central fact in biology. And besides differing from conspecifics (inter-individual variation), they also display changing behaviour and physiology throughout ontogeny (intra-individual variation). Several scientists have pointed to the sources of variation (genes, environment, and their interaction) [18–20] and proposed theoretical frameworks to explain why variation is key to survival and reproduction . Briefly, individual genomes are the result of evolutionary forces and provide the organism with a set of phenotypes that can vary slightly depending on the specific environmental context (“reaction norms” ). Epigenetic programming, the set of molecular mechanisms capable of modulating gene expression -and ultimately individual phenotype - has been proposed as one of the key factors allowing the cross-talk between the environment and gene-expression [20, 23]. A large body of clinical and preclinical evidence indicates that precocious environmental influences persistently modulate the individual phenotype [24–27]. However, rather than being a passive receiver of external stimuli, the organism has been proposed to constitute a filter capable of unconsciously exploiting precocious cues as predictors of their future environment. Such predictors, in turn, have been proposed to adjust the individual phenotype in accordance with the actual cues present in the adult environment. Thus, developmental plasticity has been framed within the context of “phenotypic programming”, a hypothesis posing that growing individuals “use” early environmental cues as predictors of their future habitat and accordingly “adjust” their phenotype. This hypothesis can be illustrated with the example of Daphnia, a freshwater crustacean that may (or may not) present with a protective “helmet” . While the possibility to develop the helmet depends on specific genes common to all individuals, its actual patterning rests upon epigenetic mechanisms. Specifically, the helmet occurs if developing individuals are exposed to a predator odour, and does not occur in a predator-free environment. Compared to an unprotected Daphnia, a helmet-protected individual would generally prevail in the presence of predators but succumb in their absence. The disadvantages encountered by helmet-protected Daphnia in a predator-free environment are related to the energetic costs associated with helmet production. Ultimately, long-term survival and reproductive success depend both on precocious cues (presence/absence of predator odour) and on the environment encountered during later stages of life (presence/absence of predators). Matching precocious developments with adult life conditions should promote survival and reproduction, whereas mismatching scenarios should result in poor outcomes in terms of individual fitness [21, 28]. Whilst this example pertains to crustaceans, adaptive adjustments to environmental cues have also been ascribed to mammals (e.g. guinea pigs [29, 30]) including humans [31–33]. For example, Sachser demonstrated that the neonatal social context permanently adjusts the adult individual response to unfamiliar conspecifics in guinea pigs [29, 30]. He showed that adult male guinea pigs, which experienced a complex social environment early in ontogeny (large colonies composed of mixed-sex conspecifics), adapt faster to a group of unfamiliar subjects compared to individuals reared with a single female [29, 30]. The thrifty phenotype hypothesis extends to human beings the possibility that precocious cues adaptively calibrate long-term adjustments [31–33]. This hypothesis proposes that nutritional status during the early stages of ontogeny regulate individual metabolism with respect to the ability of accumulating and dissipating energies (i.e. glucose-insulin metabolism) . Specifically, it is suggested that a poor nutritional status in utero forecasts adverse adult foraging conditions, which are matched through the patterning of a system capable of accumulating and storing the scant resources available (glucose tolerance) and limiting energy expenditure (e.g. insulin resistance). Such a phenotype would be advantageous under highly challenging foraging conditions but disadvantageous in an environment in which food resources are abundant. Epidemiological studies conducted in a cohort of Dutch individuals born to mothers experiencing severe food shortage during the late stages of pregnancy(due to an embargo during the Second World War) support this notion. Specifically, these individuals, who after a difficult gestation matured in a food-rich environment, showed an increased vulnerability towards type 2 diabetes compared to age-matched controls not facing food shortage during gestation . These results have been interpreted as evidence that gestational food-restriction signaled an adult environment characterized by harsh foraging conditions, and that the individual phenotype adjusted accordingly. Maladaptive adjustments occurred due to the fact that the early environment failed to precisely forecast the adult environment (“phenotypic mismatch” ). A resulting thrifty phenotype would have been adaptive in a situation in which food resources were scant. These studies further support the notion that variation in living organisms is a force capable of permitting individual fine-tuning to a changing environment and thereby contributing to survival and reproduction.
Ultimately, these examples indicate that variation is a norm and that it may exert a pivotal evolutionary-adaptive function. Importantly, the experimental evidence in support of this fundamental evolutionary adaptive mechanism stems from converging studies of three different species (neither rats nor mice), and adopting completely different methodologies. By the same token, since these mechanisms generalize to a wide range of tax a, they should also pertain to laboratory rodents. Thus, should neonatal rearing conditions provide laboratory rodents with information about their future habitat, it is tenable to question the extent to which our husbandry strategies favour adaptive plasticity to the lab specific challenges encountered by experimental rats and mice.
Are laboratory rodents adapted to their living and testing conditions?
In the previous paragraph, we described experimental evidence indicating that environmental cues encountered during the early stages of development adaptively calibrate individual adjustments to adult life conditions [21, 24, 27]. We also reported evidence indicating that situations in which neonatal pretences do not match adult life conditions may favour vulnerability to pathology [31, 32]. Since rats and mice are daily used as models for human function and dysfunction, we may wonder whether their neonatal life conditions match the challenges encountered in adulthood (thereby favouring adaptive plasticity) or whether they are not adequate predictors thereby hampering “normal” development. The consequence of this question is: can control rats and mice be regarded as “normal” individuals? The fact that neonatal life conditions in laboratory facilities do not adequately reflect adult challenges has already been discussed in details . Such proposition rested upon the observation that, while neonatal conditions are pervaded by safety, stability and quietness, adult challenges to a laboratory rodent can occur frequently and in variable ways. For example, single housing, re-grouping, injections, food shortage/deprivation, and cage tilting constitute a subset of stressors present in the daily life of a laboratory individual. Thus, the precocious quietness has been proposed to conflict with the adult life encountered by experimental subjects . To evaluate whether plastic adjustments to neonatal rearing conditions affected the quality of experimental data, we devised a strategy to address the extent to which laboratory animals approximate a “normal” population , wherein “normality” has to be considered in statistical terms (Gaussian distribution). Previous studies proposed that while physiological variables should distribute normally in a natural population, the elevated occurrence of abnormal behaviours (due to captivity) may skew data distribution . Resting upon these propositions, we first addressed the data distribution of a large set of data collected in control mice, and then evaluated whether exposing neonate subjects to physiological stressors may favour the exhibition of normal behaviour . The rationale behind this study was the following: (i) laboratory animals are reared under highly stable and safe conditions; (ii) adult life conditions do not match neonatal expectations; (iii) early/adult mismatch hampers adaptive adjustments thereby increasing the rate of abnormal phenotypes and skewing the normality of data distribution; (iv) reducing the early/adult mismatch may reduce the number of abnormal phenotypes and normalize data distribution. In accordance with these predictions, we observed that control data failed to distribute normally and that access to neonatal stressors “normalized” the situation . Thus, although our approach is unlikely to be used on a large scale, it highlights the possibility that laboratory controls do not represent a natural population of individuals (let alone the possibility that they represent a natural population of a different species). However, this study corroborates independent evidence indicating that alternative strategies may increase the translational value of preclinical experiments .
Ultimately, the ideas described insofar emphasize the fact that adaptive plasticity and individual variability constitute the norm rather than an exceptional event in the lab. An integrated multifactorial approach aimed at deriving fundamental theories  should not disregard this aspect. However, how do we, as behavioural neuroscientists, take account of variability while devising preclinical experimental strategies aimed at gathering information about humans?
Variability in experimental studies
In spite of its functional significance and widespread acknowledgement of its existence, variability tends to be actively combated by behavioural neuroscientists. Such opposition is openly declared in methodology textbooks that generally propose the adoption of standardised procedures with the aim of increasing “the reproducibility of group mean results from one experiment to another […]” . To achieve this goal, behavioural neuroscientists are recommended to first describe, and then thoroughly standardize, experimental conditions: such homogenisation is expected to range from experimental species and strains, to procedures and contextual factors (e.g. temperature, humidity, and light/dark conditions). These procedures are predicted to render experimental subjects less variable within each study population  and, in turn, to increase test sensitivity [39–41]. These theoretical assumptions have led, over the years, to the design of a battery of standardized experimental approaches to which scholars generally adhered. Thus, natural variability has been actively combated via the development of a series of procedures aimed at eradicating variation in core aspects of preclinical research. Specifically, variability has been thwarted at the level of genetics (through the use of inbred strains), rearing and housing environment (through the design of standard laboratory cages), and testing procedures, paradigms, and conditions (see paragraph “What's wrong with “What's wrong with my mouse?””). Although this approach has contributed to remarkable advancements in knowledge, it has also repeatedly demonstrated its own pitfalls. For example, the need to use genetically identical individuals resulted, as of year 2000, in approximately 400 and 200 mouse and rat inbred strains, respectively . Identical individuals have been generated under the assumption that they would generate experimental data characterized by reduced variability . This assumption has been invalidated by many studies over the years. For example, a pioneering experiment performed in 1954  revealed that F1 hybrids performed more consistently in response to pentobarbital than their two parental inbred mouse strains. Converging data, indicating that inbred strains do not necessarily yield consistent results, have been also collected by Crabbe and collaborators (, see below for a discussion).
Under the assumption that not only genes, but also the environment contributes to inter-individual variation, behavioural neuroscientists are generally advised to homogenise contextual variables to guarantee within- and between-laboratory experimental reproducibility. The need to standardise housing and rearing conditions stems from abundant literature indicating that a plethora of environmental features may remarkably influence individual phenotype. Whilst macroscopic aspects like environmental enrichment are traditionally considered capable of altering individual physiology and behaviour [46, 47], other aspects are not often considered as crucial modulators of individual phenotype. Yet, many intervening contextual variables are capable of skewing experimental results . To give a few examples, the following variables have been shown to alter individual physiology and behaviour [49–52]: ambient noise , amount of experimenter intervention during the early stages of life [54–56], levels of maternal care [26, 57], location of the cage within the rack , and even the gender of the experimenter . Within this scenario, it seems reasonable to ask the following: (i) Is it tenable to propose a homogenisation of all these variables? (ii) If it were possible, would such standardisation really guarantee reproducibility of experimental findings? (iii) And if data were reproducible, does this automatically improve their translational value? Below, we attempt to provide a personal perspective on these questions.
i. Is it tenable to propose a homogenisation of all these variables? We believe that this is not attainable, and our concern resides in the fact that some factors that have been shown to modulate the individual phenotype cannot be standardized across different laboratories. Such hard-to-standardise contextual variables are, for example, constituted by position of cages in the rack, daily routines, lighting conditions, humidity, the room architecture, and/or training and individuality of lab personnel . Furthermore, while standardising ambient noise is theoretically attainable, guaranteeing identical shipping conditions is impossible, at least owing to the fact that not all laboratories are equally distant from the commercial breeder (i.e. shipping duration may vary greatly across labs). Thus, as each of the aforementioned variables has been shown to modulate individual phenotype, a full standardisation seems to be theoretically impossible [37, 60, 61].
ii. If it were possible, would such standardisation really guarantee reproducibility of experimental findings? Again, we propose a negative answer to this question. This is related to empirical studies appropriately designed to evaluate the likelihood that identical experimental conditions would yield identical results. For example, despite extraordinary efforts to standardize husbandry and test conditions across three laboratories, Crabbe and colleagues  found that some behavioural strain differences were poorly reproducible across sites. Specifically, the authors demonstrated that while some parameters (general locomotion and preference for palatable solutions) yielded consistent and fully reproducible results, other variables (e.g. anxiety-related profiles) were characterised by remarkable inconsistencies in terms of stain x laboratory interactions. Thus, even the direction of strain differences were found to vary between different laboratories. Meanwhile, similar results have been found in several other multi-laboratory studies [62–64], showing that even highly standardized experiments may lead to conflicting test outcomes. Available evidence therefore suggests that although standardisation may favour comparability of data, it cannot fully guarantee reproducibility of experimental findings [64–67]. The study by Crabbe and colleagues  further strengthened the view that genetic and environmental homogeneity are not equivalent to data reproducibility (neither within- nor between-laboratories) and that we are not far from what Henderson had already summarised in 1970: “For the time being, investigators must be aware of the possibilities that early environmental interactions with genotype may limit the validity of their findings to their own unique laboratory situations (Henderson, 1970, P.509)” .
iii. If data were reproducible, does this automatically improve the translational value? The third and last doubt concerns the real utility of obtaining fully reproducible results through genetic and environmental homogenisation. As it has been argued before, not all statistically significant effects are necessarily biologically meaningful : perfect and, thus, fully effective standardisation would decrease inter-individual variation to zero, resulting in almost identical individuals within study populations. At the same time, however, the experiment would turn into a single-case study with a sample size of N=1 [70, 71], producing statistically significant, but probably irrelevant results. We reckon that data obtained in a single individual would not easily generalise to a larger population of a different species. Furthermore, such a scenario deviates from the original goal to translate experimental findings obtained in laboratory rodents to human beings.
Thus, attempting to standardise experimental conditions to obtain reproducible results seems impractical, ineffective, and - from our perspective - fundamentally useless. Conversely, we may aim at devising experimental test strategies in which variation constitutes the norm (e.g. using different experimental strains and species reared under different conditions to test a given hypothesis) and evaluate whether the mechanism under analysis resists the challenge of testing under variable conditions. Briefly, we believe that translational research should carefully reconsider the fundamental principles of comparative studies, namely (1) the use of more than one experimental species and (2) more than one experimental approach.
(1) Experimental species: data on animal use across Europe suggest that the mouse is our current “Boojum”
(2) Experimental approach: what's wrong with “What's wrong with my mouse?”?
As mentioned in the Introduction, beside the limited number of species investigated, another critical aspect in Comparative studies was associated with the paucity of experimental test paradigms adopted. A pivotal concern emphasised by Frank Beach was that, notwithstanding the goals, most of comparative psychology research boiled down to conditioning experiments performed in Skinner boxes. While this aspect is no longer as critical as in 1950 - many different tools are currently available to behavioural neuroscientists - we argue that much should be done in order to guarantee that a given domain be analysed from converging perspectives and not addressed adopting a single approach. Currently, despite the presence of many different strategies, the homogenisation effort attempts to constrain the number of validated “standard procedures” to be used while investigating a given domain . Although this limitation varies across different experimental domains, fields like toxicology and biomedical research often rest upon a limited array of ‘standard’ tests. The latter are generally constituted by a set of specific end points, such as sensory-motor function, anxiety/depression-like behaviours, general health, general metabolism, and cognition [76–79]. The idea behind these efforts is to set a common ground for all behavioural neuroscientists interested in a given domain and provide them with rigorously standardised operating procedures. An extreme example of this approach is constituted by SHIRPA (the acronym of “Smith Kline Beecham, Harwell, Imperial College, Royal London Hospital, phenotype assessment” ), a set of common procedures aimed at aiding behavioural biologists in the evaluation of the “aberrant biology seen in mouse mutations and identification of more subtle phenotype variation” . SHIRPA is a clearly defined test protocol entailing three stages, each devoted to a specific domain: the first stage consists of an observational screen not requiring the use of specific tests; the second stage consists in the administration of classical tests evaluating e.g. locomotion, anxiety-related behaviours, and motor coordination; finally, the third stage involves the adoption of more complex experimental paradigms evaluating complex cognitive abilities (learning and memory), startle reactivity, and sensory-motor gating (pre-pulse inhibition) [81, 82]. In a different approach, a large-scale three-year European initiative launched in 2002 involved 17 laboratories with the aim of disseminating “a large number of primary screen ‘Standard Operating Procedures’ [and] ensure that results coming from labs adhering to the protocol are comparable”. The rationale for this initiative was that “many labs use their own particular research protocols for screening mice, making it difficult to accurately compare and share data from different sources” (http://ec.europa.eu/research/health/genomics/projects/eumorphia_en.htm). Thus, in spite of considering variability as natural, and attempting to reconcile inter-laboratory differences within larger theories, the approach of an influential portion of the scientific community is to eradicate it through SOPs. This attitude is further exemplified by “What's wrong with my mouse?” , a bestselling textbook devoted to: behavioural neuroscientists delving into the field of genetically engineered mice; and geneticists attempting to phenotype their disease models. Using the author's words, this book “is written for these pioneering molecular geneticists, and for the talented students who will be the next driving force in moving the field forward” . This detailed book contains a comprehensive list of finely described screening tasks that may be used while investigating a plethora of domains. The author, Jacqueline Crawley, clearly states that this text should constitute a reference book for those approaching the field of behavioural neuroscience, but that the analysis should not be limited to the protocols described therein. While having access to such a text certainly constitutes an advantage for the field, scientists should be aware of the fact that a differential approach is needed in order to attain externally valid data. To briefly answer the provocative question of the paragraph title, we suspect that nothing is wrong with “What's wrong with my mouse?”, as long as it constitutes the starting and not the end point of preclinical research.
An additional concern directly linked to such paucity in experimental test paradigms is the fact that they are often translated from one species to another (e.g. from rats to mice), from one strain to another (e.g. from outbred to inbred mice) or from one sex to another without a preliminary consideration of the eco-ethological value of the tests themselves. Examples in which such translation is open to criticisms are abundant. For example, one of the most widely used paradigms to investigate memory in rodents is constituted by the Morris water maze task : this task was originally developed “to demonstrate that rats can rapidly learn to locate an object that they can never see, hear, or smell provided it remains in a fixed spatial location relative to distal room cues” . In this test, rats are required to swim in order to locate a platform, hidden beneath the water surface, resting upon environmental cues. This task which, over the years, yielded fundamental evidence regarding the biological mechanisms underlying learning and memory , rests upon rats’ natural swimming capabilities. In contrast with rats, mice do not show analogous swimming skills thereby not being particularly suited to this test. Notwithstanding the difference in preparedness towards swimming, and despite the availability of dry versions of this task [86, 87], the water maze task is still currently used in countless mouse experiments (a simple Medline search with the search terms “Morris maze mouse”, limited to the year 2014, retrieved 330 manuscripts). Analogous concerns can be raised as to several operant-based tasks directly translated from humans to rodents. The attentional set-shifting task constitutes one such example. This task evaluates the cognitive flexibility of an individual by addressing its capability to disregard an acquired rule in favour of a novel one. In humans, this capability is addressed through the Wisconsin Card Sorting task : subjects have to learn to discriminate between two cards - differing along two or more dimensions (e.g. colour and number) - using one dimension (e.g. always red regardless of the number). Once the rule is acquired, subjects are required to disregard it in lieu of a different one. Shifting can be intra-dimensional (e.g. from one colour to another) or extra-dimensional (e.g. from colour to number). The original rodent versions of this task were based on operant-cage testing and required weeks of training to observe consistent non-match-to-sample rule learning . Extensive training was due to the fact that the ethological relevance of this task was near-to-nothing for the experimental subjects. Later incarnations of this test kept into account the fundamental needs and abilities of laboratory rodents by providing them with digging bowls (rather than operant screens) varying across three ethologically-relevant dimensions: odour, texture and digging medium [90, 91]. This simple methodological variation reduced learning curves from three weeks to approximately 100 trials [90, 92–94]. The importance of taking individual fundamental needs into account also extends to social and defensive behaviours. Although there are marked similarities in the social organization and behaviour of mice and rats - both have territorial and colonial social systems where one male maintains a territory containing one or more reproductive females - there exist some striking differences. For example, with respect to social play juvenile rats engage in much more play fighting than mice do. Furthermore, rats and mice have been described to differ widely in conspecific aggression, food defence and predatory defence , challenging the common practice to simply translate social tests, such as the resident intruder test or the social interaction test, from rats to mice or vice versa. However, as it is not possible to evaluate the ethological validity of each common test used in rodent studies at this point, we would like to highlight again that far too often experimental paradigms are translated from one situation to another or from one species to another without considering individual needs and natural predispositions (for a detailed description of the importance of ethologically relevant experimental paradigms, the interested reader is referred to the seminal work of Bredland and Bredland  and Dewsbury ). Thus, what might be an easy, readily accomplished task for one species (or individual) may be less fitted or even beyond the evolved repertoire of another species, further supporting the need for a paradigm shift in animal experimentation.
We are certainly not the first to re-evaluate the seminal considerations proposed by professor Frank Beach in 1950 [98, 99]. Together with other colleagues, we share the view that our current approach in preclinical animal research is too narrow both in terms of experimental species investigated and experimental test paradigms adopted to address specific domains (e.g. [10, 65, 75]). Compared to the situation of 65 years ago, however, we are now fully aware of the fact that different methodologies exist and that over-specialisation and standardisation will not allow an easy translation of preclinical findings. To improve the situation, some first heterogenisation strategies have been proposed [64, 66, 67]. In these studies,  strain differences in several behavioural domains were investigated on the basis of experiments in heterogeneous experimental populations. Briefly, to test whether highly standardised, i.e. homogenised, experiments yielded more consistent results than heterogenised experiments, we compared data obtained in a population of individuals reared under a given standardised condition with data obtained in a population of individuals reared in different environmental conditions. The results demonstrated that heterogenised experiments yielded more stable results across experiments and were characterised by a reduced number of false positive results compared to homogenised experiments . These findings support the view that alternative experimental strategies may indeed enhance the reproducibility and translational value of preclinical animal research. However, although these efforts were limited to housing and testing conditions, we believe that this approach may also apply to heterogenisation of both experimental species and testing paradigms.
Thus, available literature indicates that re-introducing natural variation in translational research may favour the collection of data potentially informing human-centred innovative knowledge and therapeutic approaches. Although a complete description of an innovative experimental paradigm is beyond the scopes of the present manuscript, we will briefly outline some factors to be considered before a heterogenised approach can be implemented into practice:
1) Increasing the number of species analysed: as described above, three species account for approximately 91% of all fundamental research studies conducted in vertebrates. Incorporating additional experimental species seems to constitute a fundamental goal.
A potential limitation to this approach relates to the difficulty of establishing all the facilities required to perform experiments on non-standard animals. Yet, data reported in Figure 1 indicate that, at least in the European Union, laboratories and facilities have access to more than 20 different experimental species. Thus, rather than aiming at extending the number of available experimental species, future efforts may aim at taking advantage of existing forces and balancing the use of different species. With respect to economic counter-arguments, we believe that devising large projects in which a given phenomenon is directly tackled through a comparative approach is feasible and does not require large investments to establish novel infrastructures.
Although the economic burden of this transition may be overcome at limited costs, the potential ethical implications may require a systematic consideration. The ethical costs may encompass both the number of subjects to be used and the level of affection towards the species under investigation. With respect to the former, we note that the inclusion of systematic variation does not necessarily inflate the number of subjects to be used in a single study. Combined with targeted experimental designs (e.g. matched-pairs, split-plot, factorial, or randomized block designs) and adequate analytical techniques (e.g. matching, blocking, or stratification), such experimental heterogenisation may be implemented in systematic and controlled ways without the need for larger sample sizes. In particular, the use of randomized block designs has been discussed as being promising in this context . Originally derived from agricultural research, randomized block designs are used to split an experiment into a number of “mini-experiments” according to the natural structure of the experimental material . With respect to animal experimentation, this may lead to a grouping (“blocking”) of experimental subjects on the basis of certain characteristics (e.g. age, prenatal or postnatal experiences, housing conditions, etc.) so that the animals are as homogeneous as possible within blocks, but different between blocks. Because between-block variation can then be eliminated by comparing treatments within blocks only, statistical power and precision are much higher than in a comparable unblocked design. With respect to the latter, we are aware of the fact that the proposition of a larger battery of experimental species may entail the adoption of animals toward which the general public has an elevated affection (e.g. pets). Yet, theoretical considerations and moral appreciation of value contribute to determine the boundaries within which a given animal species shall be used in experimental studies or not. From a theoretical perspective, the European Directive 2010/63/EU explicitly promotes “the use of species with the lowest capacity to experience pain, suffering, distress or lasting harm that are optimal for extrapolation into target species” . Thus, future studies adopting experimental animals characterized by a central nervous system more complex than rats or mice are, at least in Europe, unlikely. Although this aspect warrants a careful control, heterogeneous experiments may therefore beget some ethical advantages. Furthermore, besides evaluating which individuals are used in each single experiment, a proper ethical evaluation shall entail a systematic cost-benefit analysis. In the Directive 2010/63/EU, the latter constitutes a primary parameter to be considered before providing the authorization to use an animal for scientific purposes. Within this realm, it is plausible to envision a full array of different scenarios: e.g. rodent-centred studies forbidden due to limited utility and pet-centred studies allowed due to exceptional anticipated benefits, or vice versa.
An additional hurdle to be overcome while devising heterogenised experiments is constituted by the experimental design and the statistics used to analyse data collected under heterogeneous conditions. We are fully aware of the fact that such an experimental design would depart from traditional approaches. By the same token, several design variants are already available taking into account variation in a systematic way without increasing sample sizes (see above, ). Considering statistical approaches, principal component and cluster analyses as well as linear mixed models may be promising analytical tools to account for higher within-study variation.
2) Increasing the number of test paradigms used: incorporating additional experimental approaches and paradigms would greatly benefit the relevance of translational research. Contrary to intuition, methodology has been reduced for reasons of efficiency and long-lasting traditions throughout the last decades. However, new technology and sophisticated analysis methods (e.g. home-cage based systems, touch screens) are now available that may foster the implementation of new and innovative test paradigms in a feasible and manageable way.
While the possibility to introduce heterogeneity systematically in experimental studies is still at its inception, infrastructural and theoretical needs are already available to scientists. To conclude, we would like to use the words of Frank Beach, who inspired this article from the very beginning to the very end: “This will sometimes mean sacrificing some of the niceties of laboratory research in order to deal with human beings under less artificial conditions. It may also mean expanding the number of non-human species studied and the variety of behavior patterns investigated” .
Publication costs for this article were funded by the German Research Foundation (FOR 1232) and the Open Access Publication Fund of Bielefeld and Muenster University.
SM wrote the first draft of the manuscript; HR reviewed the original version, added important information and consolidated its structure. SM and HR reviewed the subsequent elaborations of the manuscript and agreed upon the final version.
Marta Borgi is gratefully acknowledged for providing the data and pictures of this manuscript; Stella Falsini and Chiara Spinello for their technical assistance. Finally, warmest thanks go to Giovanni Laviola and Augusto Vitale for endless discussions on this exciting topic and for their critical reading of earlier versions of this manuscript.
- Beach FA: The Snark was a Boojum. Am Psychol. 1950, 5: 115-24.View ArticleGoogle Scholar
- Stevenson A, Lindberg CA: New Oxford American Dictionary. In New Oxford American Dictionary. 2010, Oxford University Press, 2096-2096, Third editionView ArticleGoogle Scholar
- Kerschner JE: Need for translational neuroscience investigation gives rise to multidisciplinary research center. WMJ. 2011, 110: 149-50.PubMedGoogle Scholar
- Mulshine JL, Jett M, Cuttitta F, Treston AM, Quinn K, Scott F, Iwai N, Avis I, Linnoila RI, Shaw GL: Scientific basis for cancer prevention. Intermediate cancer markers. Cancer. 1993, 72: 978-83. 10.1002/1097-0142(19930801)72:3+<978::AID-CNCR2820721305>3.0.CO;2-T.View ArticlePubMedGoogle Scholar
- Arnold SE: Bedside to bench and back again: translational neuroscience research and geriatric psychiatry. Am J Geriatr Psychiatry. 2004, 12: 122-5. 10.1097/00019442-200403000-00001.View ArticlePubMedGoogle Scholar
- Garner JP: The significance of meaning: why do over 90% of behavioral neuroscience results fail to translate to humans, and what can we do to fix it?. ILAR J. 2014, 55: 438-56. 10.1093/ilar/ilu047.PubMed CentralView ArticlePubMedGoogle Scholar
- Integrating clinical and basic research at the new Sheffield Institute for Translational Neuroscience. 2010, 3: 669-70.Google Scholar
- Scott DM, Owen AJ: Translational neuroscience and genetic research: genetic and biological pathways underpinning communication disorders across the lifespan. J Commun Disord. 2008, 41: 395-6. 10.1016/j.jcomdis.2008.03.005.View ArticlePubMedGoogle Scholar
- Treadway MT, Zald DH: Reconsidering anhedonia in depression: lessons from translational neuroscience. Neurosci Biobehav Rev. 2011, 35: 537-55. 10.1016/j.neubiorev.2010.06.006.PubMed CentralView ArticlePubMedGoogle Scholar
- Talpos J, Steckler T: Touching on translation. Cell Tissue Res. 2013, 354: 297-308. 10.1007/s00441-013-1694-7.View ArticlePubMedGoogle Scholar
- Lichtman JW, Sanes JR: Translational neuroscience during the Second World War. J Exp Biol. 2006, 209: 3485-7. 10.1242/jeb.02458.View ArticlePubMedGoogle Scholar
- Zoratto F, Berry A, Anzidei F, Fiore M, Alleva E, Laviola G, Macri S: Effects of maternal L-tryptophan depletion and corticosterone administration on neurobehavioral adjustments in mouse dams and their adolescent and adult daughters. Prog Neuropsychopharmacol Biol Psychiatry. 2011, 35: 1479-92. 10.1016/j.pnpbp.2011.02.016.View ArticlePubMedGoogle Scholar
- van der Staay FJ: Animal models of behavioral dysfunctions: basic concepts and classifications, and an evaluation strategy. Brain Res Rev. 2006, 52: 131-59. 10.1016/j.brainresrev.2006.01.006.View ArticlePubMedGoogle Scholar
- Willner P: Validity, reliability and utility of the chronic mild stress model of depression: a 10-year review and evaluation. Psychopharmacology (Berl). 1997, 134: 319-29. 10.1007/s002130050456.View ArticleGoogle Scholar
- Kola I, Landis J: Can the pharmaceutical industry reduce attrition rates?. Nat Rev Drug Discov. 2004, 3: 711-5. 10.1038/nrd1470.View ArticlePubMedGoogle Scholar
- van der Worp HB, Howells DW, Sena ES, Porritt MJ, Rewell S, O’ Collins V, Macleod MR: Can animal models of disease reliably inform human studies?. PLoS Med. 2010, 7: e1000245-10.1371/journal.pmed.1000245.PubMed CentralView ArticlePubMedGoogle Scholar
- Seok J, Warren HS, Cuenca AG, Mindrinos MN, Baker HV, Xu W, Richards DR, McDonald-Smith GP, Gao H, Hennessy L, et al: Genomic responses in mouse models poorly mimic human inflammatory diseases. Proc Natl Acad Sci U S A. 2013, 110: 3507-12. 10.1073/pnas.1222878110.PubMed CentralView ArticlePubMedGoogle Scholar
- Gluckman PD: Epigenetics and metabolism in 2011: Epigenetics, the life-course and metabolic disease. Nat Rev Endocrinol. 2012, 8: 74-6.View ArticleGoogle Scholar
- Hanson MA, Gluckman PD: Early developmental conditioning of later health and disease: physiology or pathophysiology?. Physiol Rev. 2014, 94: 1027-76. 10.1152/physrev.00029.2013.PubMed CentralView ArticlePubMedGoogle Scholar
- Bateson P: Why are individuals so different from each other?. Heredity (Edinb). 2014Google Scholar
- Bateson P, Barker D, Clutton-Brock T, Deb D, D’ Udine B, Foley RA, Gluckman P, Godfrey K, Kirkwood T, Lahr MM, et al: Developmental plasticity and human health. Nature. 2004, 430: 419-21. 10.1038/nature02725.View ArticlePubMedGoogle Scholar
- Sultan SE: Commentary: The promise of ecological developmental biology. Journal of Experimental Zoology Part B-Molecular and Developmental Evolution. 2003, 296B: 1-7. 10.1002/jez.b.10.View ArticleGoogle Scholar
- Weaver ICG, Cervoni N, Champagne FA, D’ Alessio AC, Sharma S, Jr S, Dymov S, Szyf M, Meaney MJ: Epigenetic programming by maternal behavior. Nat Neurosci. 2004, 7: 847-54. 10.1038/nn1276.View ArticlePubMedGoogle Scholar
- Gluckman PD, Hanson MA, Spencer HG, Bateson P: Environmental influences during development and their later consequences for health and disease: implications for the interpretation of empirical studies. Proc Biol Sci. 2005, 272: 671-7. 10.1098/rspb.2004.3001.PubMed CentralView ArticlePubMedGoogle Scholar
- Heim C, Nemeroff CB: The role of childhood trauma in the neurobiology of mood and anxiety disorders: preclinical and clinical studies. Biol Psychiatry. 2001, 49: 1023-39. 10.1016/S0006-3223(01)01157-X.View ArticlePubMedGoogle Scholar
- Macrì S, Mason GJ, Wurbel H: Dissociation in the effects of neonatal maternal separations on maternal care and the offspring's HPA and fear responses in rats. Eur J Neurosci. 2004, 20: 1017-24. 10.1111/j.1460-9568.2004.03541.x.View ArticlePubMedGoogle Scholar
- Lyons DM, Macri S: Resilience and adaptive aspects of stress in neurobehavioral development. Neurosci Biobehav Rev. 2011, 35: 1451-10.1016/j.neubiorev.2010.09.004.View ArticlePubMedGoogle Scholar
- Agrawal AA, Laforsch C, Tollrian R: Transgenerational induction of defences in animals and plants. Nature. 1999, 401: 60-3. 10.1038/43425.View ArticleGoogle Scholar
- Sachser N: The ability to arrange with conspecifics depends on social experiences around puberty. Physiol Behav. 1993, 53: 539-44. 10.1016/0031-9384(93)90151-5.View ArticlePubMedGoogle Scholar
- Sachser N, Lick C, Stanzel K: The environment, hormones, and aggressive behaviour: a 5-year-study in guinea pigs. Psychoneuroendocrinology. 1994, 19: 697-707. 10.1016/0306-4530(94)90051-5.View ArticlePubMedGoogle Scholar
- Hales CN: Fetal and infant growth and impaired glucose tolerance in adulthood: the ”thrifty phenotype” hypothesis revisited. Acta Paediatr Suppl. 1997, 422: 73-7.View ArticlePubMedGoogle Scholar
- Hales CN, Barker DJ: The thrifty phenotype hypothesis. Br Med Bull. 2001, 60: 5-20. 10.1093/bmb/60.1.5.View ArticlePubMedGoogle Scholar
- Wells JC: The thrifty phenotype as an adaptive maternal effect. Biol Rev Camb Philos Soc. 2007, 82: 143-72. 10.1111/j.1469-185X.2006.00007.x.View ArticlePubMedGoogle Scholar
- Wurbel H: Ideal homes? Housing effects on rodent brain and behaviour. Trends Neurosci. 2001, 24: 207-11. 10.1016/S0166-2236(00)01718-5.View ArticlePubMedGoogle Scholar
- Macri S, Pasquali P, Bonsignore LT, Pieretti S, Cirulli F, Chiarotti F, Laviola G: Moderate neonatal stress decreases within-group variation in behavioral, immune and HPA responses in adult mice. PLoS One. 2007, 2: e1015-10.1371/journal.pone.0001015.PubMed CentralView ArticlePubMedGoogle Scholar
- Garner JP: Stereotypies and other abnormal repetitive behaviors: potential impact on validity, reliability, and replicability of scientific outcomes. ILAR J. 2005, 46: 106-17. 10.1093/ilar.46.2.106.View ArticlePubMedGoogle Scholar
- Richter SH, Spinello C, Macri S: Animal Housing and Handling. In Animal models in research and development of cancer therapy – Predictability of clinical efficacy. Edited by: Edited by Martić-Kehl M. Wiley, In press: Improving external validity of experimental animal data. In: Animal Models for Human Cancer: Discovery and Development of Novel TherapeuticsGoogle Scholar
- Beynen AC, Gartner K, van Zutphen LFM: Standardization of animal experimentation. In Principles of Laboratory Animal Science. Volume Amsterdam. Edited by: Edited by van Zutphen LFMB, V. Beynen, A.C. 2003, Elsevier, 103-10.Google Scholar
- Obrink KJ, Rehbinder C: Animal definition: a necessity for the validity of animal experiments?. Laboratory Animals. 2000, 34: 121-30. 10.1258/002367700780457608.View ArticlePubMedGoogle Scholar
- Festing MFW: Good experimental design and statistics can save animals, but how can it be promoted?. Atla-Alternatives to Laboratory Animals. 2004, 32: 133-5.Google Scholar
- Festing MFW: Refinement and reduction through the control of variation. Atla-Alternatives to Laboratory Animals. 2004, 32: 259-63.Google Scholar
- Beck JA, Lloyd S, Hafezparast M, Lennon-Pierce M, Eppig JT, Festing MFW, Fisher EMC: Genealogies of mouse inbred strains. Nat Genet. 2000, 24: 23-5. 10.1038/71641.View ArticlePubMedGoogle Scholar
- Russell ES: Significance of physiological pattern of animal strains in biological research. Br Med J. 1955, 2: 826-9.View ArticleGoogle Scholar
- McLaren A, Michie D: Are inbred strains suitable for bio-assay?. Nature. 1954, 173: 686-7.View ArticlePubMedGoogle Scholar
- Crabbe JC, Wahlsten D, Dudek BC: Genetics of mouse behavior: interactions with laboratory environment. Science. 1999, 284: 1670-2. 10.1126/science.284.5420.1670.View ArticlePubMedGoogle Scholar
- Laviola G, Hannan AJ, Macri S, Solinas M, Jaber M: Effects of enriched environment on animal models of neurodegenerative diseases and psychiatric disorders. Neurobiol Dis. 2008, 31: 159-68. 10.1016/j.nbd.2008.05.001.View ArticlePubMedGoogle Scholar
- Macri S, Ceci C, Altabella L, Canese R, Laviola G: The Directive 2010/63/EU on animal experimentation may skew the conclusions of pharmacological and behavioural studies. Sci Rep. 2013, 3: 2380-PubMed CentralView ArticlePubMedGoogle Scholar
- Chesler EJ, Wilson SG, Lariviere WR, Rodriguez-Zas SL, Mogil JS: Identification and ranking of genetic and laboratory environment factors influencing a behavioral trait, thermal nociception, via computational analysis of a large data archive. Neurosci Biobehav Rev. 2002, 26: 907-23. 10.1016/S0149-7634(02)00103-3.View ArticlePubMedGoogle Scholar
- Bellhorn RW: Lighting in the animal environment. Lab Anim Sci. 1980, 30: 440-50.PubMedGoogle Scholar
- Bilkei-Gorzo A, Otto M, Zimmer A: Environmental modulation of anxiety-related neuronal activity and behaviors. Behav Brain Res. 2008, 186: 289-92. 10.1016/j.bbr.2007.08.027.View ArticlePubMedGoogle Scholar
- Hossain SM, Wong BK, Simpson EM: The dark phase improves genetic discrimination for some high throughput mouse behavioral phenotyping. Genes Brain Behav. 2004, 3: 167-77. 10.1111/j.1601-183x.2004.00069.x.View ArticlePubMedGoogle Scholar
- van de Weerd HA, Baumans V, Koolhaas JM, van Zutphen LF: Strain specific behavioural response to environmental enrichment in the mouse. J Exp Anim Sci. 1994, 36: 117-27.PubMedGoogle Scholar
- Milligan SR, Sales GD, Khirnykh K: Sound levels in rooms housing laboratory animals: an uncontrolled daily variable. Physiol Behav. 1993, 53: 1067-76. 10.1016/0031-9384(93)90361-I.View ArticlePubMedGoogle Scholar
- Pryce CR, Bettschen D, Nanz-Bahr NI, Feldon J: Comparison of the effects of early handling and early deprivation on conditioned stimulus, context, and spatial learning and memory in adult rats. Behav Neurosci. 2003, 117: 883-93.View ArticlePubMedGoogle Scholar
- Pryce CR, Bettschen D, Feldon J: Comparison of the effects of early handling and early deprivation on maternal care in the rat. Dev Psychobiol. 2001, 38: 239-51. 10.1002/dev.1018.View ArticlePubMedGoogle Scholar
- Pryce CR, Bettschen D, Bahr NI, Feldon J: Comparison of the effects of infant handling, isolation, and nonhandling on acoustic startle, prepulse inhibition, locomotion, and HPA activity in the adult rat. Behav Neurosci. 2001, 115: 71-83.View ArticlePubMedGoogle Scholar
- Macri S, Chiarotti F, Wurbel H: Maternal separation and maternal care act independently on the development of HPA responses in male rats. Behav Brain Res. 2008, 191: 227-34. 10.1016/j.bbr.2008.03.031.View ArticlePubMedGoogle Scholar
- Izidio GS, Lopes DM, Spricigo L, Ramos A: Common variations in the pretest environment influence genotypic comparisons in models of anxiety. Genes Brain and Behavior. 2005, 4: 412-9. 10.1111/j.1601-183X.2005.00121.x.View ArticleGoogle Scholar
- Sorge RE, Martin LJ, Isbester KA, Sotocinal SG, Rosen S, Tuttle AH, Wieskopf JS, Acland EL, Dokova A, Kadoura B, et al: Olfactory exposure to males, including men, causes stress and related analgesia in rodents. Nat Methods. 2014, 11: 629-32. 10.1038/nmeth.2935.View ArticlePubMedGoogle Scholar
- Wahlsten D: Standardizing tests of mouse behavior: reasons, recommendations, and reality. Physiol Behav. 2001, 73: 695-704. 10.1016/S0031-9384(01)00527-3.View ArticlePubMedGoogle Scholar
- Wurbel H, Garner JP: Refinement of rodent research through environmental enrichment and systematic randomization. NC3Rs Newsletter. 2007, 9:Google Scholar
- Lewejohann L, Reinhard C, Schrewe A, Brandewiede J, Haemisch A, Gortz N, Schachner M, Sachser N: Environmental bias? Effects of housing conditions, laboratory environment and experimenter on behavioral tests. Genes Brain and Behavior. 2006, 5 (1): 64-72.View ArticleGoogle Scholar
- Mandillo S, Tucci V, Holter SM, Meziane H, Banchaabouchi Al M, Kallnik M, Lad HV, Nolan PM, Ouagazzal AM, Coghill EL, et al: Reliability, robustness, and reproducibility in mouse behavioral phenotyping: a cross-laboratory study. Physiological Genomics. 2008, 34: 243-55. 10.1152/physiolgenomics.90207.2008.PubMed CentralView ArticlePubMedGoogle Scholar
- Richter SH, Garner JP, Zipser B, Lewejohann L, Sachser N, Touma C, Schindler B, Chourbaji S, Brandwein C, Gass P, et al: Effect of population heterogenization on the reproducibility of mouse behavior: a multi-laboratory study. PLoS One. 2011, 6: e16461-10.1371/journal.pone.0016461.PubMed CentralView ArticlePubMedGoogle Scholar
- Bailoo JD, Reichlin TS, Wurbel H: Refinement of experimental design and conduct in laboratory animal research. ILAR J. 2014, 55: 383-91. 10.1093/ilar/ilu037.View ArticlePubMedGoogle Scholar
- Richter SH, Garner JP, Auer C, Kunert J, Wurbel H: Systematic variation improves reproducibility of animal experiments. Nat Methods. 2010, 7: 167-8. 10.1038/nmeth0310-167.View ArticlePubMedGoogle Scholar
- Richter SH, Garner JP, Wurbel H: Environmental standardization: cure or cause of poor reproducibility in animal experiments?. Nat Methods. 2009, 6: 257-61. 10.1038/nmeth.1312.View ArticlePubMedGoogle Scholar
- Henderson N: Genetic influences on the behavior of mice can be obscured by laboratory rearing. J Comp Physiol Psychol. 1970, 72: 505-11.View ArticlePubMedGoogle Scholar
- Quinn GP, Keough MJ: Experimental design and data analysis for biologists. 2002, Cambridge: Cambridge University PressView ArticleGoogle Scholar
- Wurbel H: Behaviour and the standardization fallacy. Nat Genet. 2000, 26: 263-10.1038/81541.View ArticlePubMedGoogle Scholar
- Wurbel H: Behavioral phenotyping enhanced - beyond (environmental) standardization. Genes Brain Behav. 2002, 1: 3-8. 10.1046/j.1601-1848.2001.00006.x.View ArticlePubMedGoogle Scholar
- Gibbs RA, Weinstock GM, Metzker ML, Muzny DM, Sodergren EJ, Scherer S, Scott G, Steffen D, Worley KC, Burch PE, et al: Genome sequence of the Brown Norway rat yields insights into mammalian evolution. Nature. 2004, 428: 493-521.View ArticlePubMedGoogle Scholar
- Sequencing Mouse Genome C, Waterston RH, Lindblad-Toh K, Birney E, Rogers J, Abril JF, Agarwal P, Agarwala R, Ainscough R, Alexandersson M, et al: Initial sequencing and comparative analysis of the mouse genome. Nature. 2002, 420: 520-62. 10.1038/nature01262.View ArticleGoogle Scholar
- 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. 10.1016/S0091-3057(00)00422-6.View ArticlePubMedGoogle Scholar
- Spruijt BM, Peters SM, de Heer RC, Pothuizen HH, van der Harst JE: Reproducibility and relevance of future behavioral sciences should benefit from a cross fertilization of past recommendations and today's technology: ”Back to the future”. J Neurosci Methods. 2014, 234: 2-12.View ArticlePubMedGoogle Scholar
- Crawley JN: Behavioral phenotyping of rodents. Comparative Medicine. 2003, 53: 140-6.PubMedGoogle Scholar
- Crawley JN, Paylor R: A proposed test battery and constellations of specific behavioral paradigms to investigate the behavioral phenotypes of transgenic and knockout mice. Horm Behav. 1997, 31: 197-211. 10.1006/hbeh.1997.1382.View ArticlePubMedGoogle Scholar
- Gold LH: Hierarchical strategy for phenotypic analysis in mice. Psychopharmacology. 1999, 147: 2-4. 10.1007/s002130051127.View ArticlePubMedGoogle Scholar
- Picciotto MR, Wickman K: Using knockout and transgenic mice to study neurophysiology and behavior. Physiol Rev. 1998, 78: 1131-63.PubMedGoogle Scholar
- Rogers DC, Fisher EM, Brown SD, Peters J, Hunter AJ, Martin JE: Behavioral and functional analysis of mouse phenotype: SHIRPA, a proposed protocol for comprehensive phenotype assessment. Mamm Genome. 1997, 8: 711-3. 10.1007/s003359900551.View ArticlePubMedGoogle Scholar
- Hatcher JP, Jones DN, Rogers DC, Hatcher PD, Reavill C, Hagan JJ, Hunter AJ: Development of SHIRPA to characterise the phenotype of gene-targeted mice. Behav Brain Res. 2001, 125: 43-7. 10.1016/S0166-4328(01)00275-3.View ArticlePubMedGoogle Scholar
- Nolan PM, Peters J, Strivens M, Rogers D, Hagan J, Spurr N, Gray IC, Vizor L, Brooker D, Whitehill E, et al: A systematic, genome-wide, phenotype-driven mutagenesis programme for gene function studies in the mouse. Nat Genet. 2000, 25: 440-3. 10.1038/78140.View ArticlePubMedGoogle Scholar
- Crawley JN: What's Wrong With My Mouse?. Behavioral Phenotyping of Transgenic and Knockout Mice. 2007, New York: John Wiley and SonsGoogle Scholar
- Morris RGM: Spatial localization does not require the presence of local cues. Learn Mem. 1981, 12: 239-60.Google Scholar
- D’ Hooge R, De Deyn PP: Applications of the Morris water maze in the study of learning and memory. Brain Res Brain Res Rev. 2001, 36: 60-90. 10.1016/S0165-0173(01)00067-4.View ArticleGoogle Scholar
- Fedorova I, Hussein N, Di Martino C, Moriguchi T, Hoshiba J, Majchrzak S, Salem N: An n-3 fatty acid deficient diet affects mouse spatial learning in the Barnes circular maze. Prostaglandins Leukot Essent Fatty Acids. 2007, 77: 269-77. 10.1016/j.plefa.2007.10.013.PubMed CentralView ArticlePubMedGoogle Scholar
- Inman-Wood SL, Williams MT, Morford LL, Vorhees CV: Effects of prenatal cocaine on Morris and Barnes maze tests of spatial learning and memory in the offspring of C57BL/6J mice. Neurotoxicol Teratol. 2000, 22: 547-57. 10.1016/S0892-0362(00)00084-2.View ArticlePubMedGoogle Scholar
- Grant DA, Berg E: A behavioral analysis of degree of reinforcement and ease of shifting to new responses in a Weigl-type card-sorting problem. J Exp Psychol. 1948, 38: 404-11.View ArticlePubMedGoogle Scholar
- Joel D, Weiner I, Feldon J: Electrolytic lesions of the medial prefrontal cortex in rats disrupt performance on an analog of the Wisconsin Card Sorting Test, but do not disrupt latent inhibition: implications for animal models of schizophrenia. Behav Brain Res. 1997, 85: 187-201. 10.1016/S0166-4328(97)87583-3.View ArticlePubMedGoogle Scholar
- Birrell JM, Brown VJ: Medial frontal cortex mediates perceptual attentional set shifting in the rat. J Neurosci. 2000, 20: 4320-4.PubMedGoogle Scholar
- Colacicco G, Welzl H, Lipp HP, Wurbel H: Attentional set-shifting in mice: modification of a rat paradigm, and evidence for strain-dependent variation. Behav Brain Res. 2002, 132: 95-102. 10.1016/S0166-4328(01)00391-6.View ArticlePubMedGoogle Scholar
- Macri S, Biamonte F, Romano E, Marino R, Keller F, Laviola G: Perseverative responding and neuroanatomical alterations in adult heterozygous reeler mice are mitigated by neonatal estrogen administration. Psychoneuroendocrinology. 2010, 35: 1374-87. 10.1016/j.psyneuen.2010.03.012.View ArticlePubMedGoogle Scholar
- Macri S, Granstrem O, Shumilina M, Santos Antunes Gomes dos FJ, Berry A, Saso L, Laviola G: Resilience and vulnerability are dose-dependently related to neonatal stressors in mice. Horm Behav. 2009, 56: 391-8. 10.1016/j.yhbeh.2009.07.006.View ArticlePubMedGoogle Scholar
- Onori Proietti M, Ceci C, Laviola G, Macri S: A behavioural test battery to investigate tic-like symptoms, stereotypies, attentional capabilities, and spontaneous locomotion in different mouse strains. Behav Brain Res. 2014, 267: 95-105.View ArticleGoogle Scholar
- Whishaw IQ, Metz GA, Kolb B, Pellis SM: Accelerated nervous system development contributes to behavioral efficiency in the laboratory mouse: a behavioral review and theoretical proposal. Dev Psychobiol. 2001, 39: 151-70. 10.1002/dev.1041.View ArticlePubMedGoogle Scholar
- Bredland K, Bredland M: The misbehavior of organisms. Am Psychol. 1961, 16: 681-4.View ArticleGoogle Scholar
- Dewsbury DA: Comparative psychologists and their quest for uniformity. Ann N Y Acad Sci. 1973, 223: 147-67. 10.1111/j.1749-6632.1973.tb41430.x.View ArticlePubMedGoogle Scholar
- Adkins-Regan E: Is the snark still a boojum? The comparative approach to reproductive behavior. Neurosci Biobehav Rev. 1990, 14: 243-52. 10.1016/S0149-7634(05)80224-6.View ArticlePubMedGoogle Scholar
- Shettleworth SJ: The evolution of comparative cognition: is the snark still a boojum?. Behav Processes. 2009, 80: 210-7. 10.1016/j.beproc.2008.09.001.View ArticlePubMedGoogle Scholar
- Grafen A, Hails R: Modern Statistics for the Life Sciences. 2002, Oxford: Oxford University PressGoogle Scholar
- European Parliament and the Council of the European Union: Directive 2010/63/EU on the protection of animals used for scientific purposes. 2010, European Parliament and the Council of the European Union ed.Google Scholar
- European Parliament and the Council of the European Union: Seventh report on the statistics on the number of animals used for experimental and other scientific purposes in the Member States of the European Union. 2013, [http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52013DC0859]Google Scholar
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