Machine Learning Reveals Modules of Economic Behavior Regulated by Genetic and Parental Effects in Foraging Mice
81 Pages Posted: 18 Jul 2018 Sneak Peek Status: Review CompleteMore...
Complex ethological behavior patterns could be constructed from modules that are discrete functional units of behavior. Here, we test this idea for foraging and develop a paradigm to dissect rich foraging patterns in mice. We uncover discrete behavioral modules linked to round trip excursions from the home. Machine learning reveals 59 modules across different genetic backgrounds and ages. Different modules develop at different ages and are linked to different aspects of economic behavior, including memory, reward, risk and effort responses. Crosses of distant mouse strains reveal that parental and genetic effects shape different foraging patterns by altering module expression, and parental effects grow stronger with age. Specific modules, genes and pathways are found to be sensitive to parental effects. One candidate gene, Magel2, is linked to Prader-Willi Syndrome and shaped the expression of specific modules at later ages. Our results reveal building blocks for normal and abnormal economic behavior patterns.
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