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      Strains and Stressors: An Analysis of Touchscreen Learning in Genetically Diverse Mouse Strains

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          Abstract

          Touchscreen-based systems are growing in popularity as a tractable, translational approach for studying learning and cognition in rodents. However, while mouse strains are well known to differ in learning across various settings, performance variation between strains in touchscreen learning has not been well described. The selection of appropriate genetic strains and backgrounds is critical to the design of touchscreen-based studies and provides a basis for elucidating genetic factors moderating behavior. Here we provide a quantitative foundation for visual discrimination and reversal learning using touchscreen assays across a total of 35 genotypes. We found significant differences in operant performance and learning, including faster reversal learning in DBA/2J compared to C57BL/6J mice. We then assessed DBA/2J and C57BL/6J for differential sensitivity to an environmental insult by testing for alterations in reversal learning following exposure to repeated swim stress. Stress facilitated reversal learning (selectively during the late stage of reversal) in C57BL/6J, but did not affect learning in DBA/2J. To dissect genetic factors underlying these differences, we phenotyped a family of 27 BXD strains generated by crossing C57BL/6J and DBA/2J. There was marked variation in discrimination, reversal and extinction learning across the BXD strains, suggesting this task may be useful for identifying underlying genetic differences. Moreover, different measures of touchscreen learning were only modestly correlated in the BXD strains, indicating that these processes are comparatively independent at both genetic and phenotypic levels. Finally, we examined the behavioral structure of learning via principal component analysis of the current data, plus an archival dataset, totaling 765 mice. This revealed 5 independent factors suggestive of “reversal learning,” “motivation-related late reversal learning,” “discrimination learning,” “speed to respond,” and “motivation during discrimination.” Together, these findings provide a valuable reference to inform the choice of strains and genetic backgrounds in future studies using touchscreen-based tasks.

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          Most cited references54

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          The touchscreen operant platform for testing learning and memory in rats and mice.

          An increasingly popular method of assessing cognitive functions in rodents is the automated touchscreen platform, on which a number of different cognitive tests can be run in a manner very similar to touchscreen methods currently used to test human subjects. This methodology is low stress (using appetitive rather than aversive reinforcement), has high translational potential and lends itself to a high degree of standardization and throughput. Applications include the study of cognition in rodent models of psychiatric and neurodegenerative diseases (e.g., Alzheimer's disease, schizophrenia, Huntington's disease, frontotemporal dementia), as well as the characterization of the role of select brain regions, neurotransmitter systems and genes in rodents. This protocol describes how to perform four touchscreen assays of learning and memory: visual discrimination, object-location paired-associates learning, visuomotor conditional learning and autoshaping. It is accompanied by two further protocols (also published in this issue) that use the touchscreen platform to assess executive function, working memory and pattern separation.
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            Effects of repeated maternal separation on anxiety- and depression-related phenotypes in different mouse strains.

            Genetic factors and early life adversity both play a major role in the etiology of mood and anxiety disorders. Previous studies have shown that postnatal maternal separation (MS) can produce lasting abnormalities in emotion-related behavior and neuroendocrine responses to stress in rodents. The present study sought to examine the effects of repeated MS in eight different inbred strains of mice (129S1/SvImJ, 129P3/J, A/J, BALB/cJ, BALB/cByJ C57BL/6J, DBA/2J, FVB/NJ). Pups were separated from their dam and littermates for 180 min/day ('MS') or 15 min/day ('handling'), or left undisturbed ('facility-reared') from postnatal days P0-P13, and tested as adults for anxiety- and depression-related behaviors. Results demonstrated no clear and consistent effects of MS or handling on behavioral phenotypes in any of the strains tested. In all strains, MS produced an increase in maternal care on reunion with pups, which may have modified MS effects. Data demonstrate that the MS procedure employed does not provide a robust model of early life stress effects on the anxiety- and depression-related behaviors in the mouse strains tested.
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              Synaptic scaffold evolution generated components of vertebrate cognitive complexity.

              The origins and evolution of higher cognitive functions, including complex forms of learning, attention and executive functions, are unknown. A potential mechanism driving the evolution of vertebrate cognition early in the vertebrate lineage (550 million years ago) was genome duplication and subsequent diversification of postsynaptic genes. Here we report, to our knowledge, the first genetic analysis of a vertebrate gene family in cognitive functions measured using computerized touchscreens. Comparison of mice carrying mutations in each of the four Dlg paralogs showed that simple associative learning required Dlg4, whereas Dlg2 and Dlg3 diversified to have opposing functions in complex cognitive processes. Exploiting the translational utility of touchscreens in humans and mice, testing Dlg2 mutations in both species showed that Dlg2's role in complex learning, cognitive flexibility and attention has been highly conserved over 100 million years. Dlg-family mutations underlie psychiatric disorders, suggesting that genome evolution expanded the complexity of vertebrate cognition at the cost of susceptibility to mental illness.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                19 February 2014
                : 9
                : 2
                : e87745
                Affiliations
                [1 ]Laboratory of Behavioral and Genomic Neuroscience, National Institute on Alcoholism and Alcohol Abuse, National Institutes of Health, Bethesda, Maryland, United States of America
                [2 ]Departments of Preventive Medicine, and Department of Anatomy and Neurobiology, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
                [3 ]Department of Experimental Psychology, University of Cambridge, Cambridge, Medical Research Council and Wellcome Trust Behavioral and Clinical Neuroscience Institute, Cambridge, United Kingdom
                University of Chicago, United States of America
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: CG MB KM ES RW AH. Performed the experiments: CG MB KM ES. Analyzed the data: CG MB KM ES RW AH. Contributed reagents/materials/analysis tools: LMS TJB. Wrote the paper: CG MB KM LMS TJB ES RW AH.

                Article
                PONE-D-13-37723
                10.1371/journal.pone.0087745
                3929556
                24586288
                1f0d020c-9a25-421a-b35f-658a13807ea1
                Copyright @ 2014

                This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 12 September 2013
                : 27 December 2013
                Page count
                Pages: 12
                Funding
                Research supported by the NIAAA Intramural Research Program and NIAAA INIA grants U01 11016662 and U01 AA013499. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine
                Mental health
                Psychology
                Cognitive psychology
                Learning
                Biology
                Model organisms
                Animal models
                Mouse
                Neuroscience
                Animal cognition
                Behavioral neuroscience
                Learning and memory
                Zoology
                Animal behavior

                Uncategorized
                Uncategorized

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