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An Automated Method to Determine the Performance of <em>Drosophila</em> in Response to Temperature Changes in Space and Time

Temperature is a ubiquitous environmental factor that affects how species distribute and behave. Different species of Drosophila fruit flies have specific ...

University of Groningen

University Medical Center Groningen

Temperature influences the physiology and behavior of all organisms. For ectotherms, which lack central temperature regulation, temperature adaptation requires sheltering from or moving to a heat source. As temperature constrains the rate of metabolic reactions, it can directly affect ectotherm physiology and thus behavioral performance. This direct effect is particularly relevant for insects, as their small bodies readily equilibrate with ambient temperature. In fact, models of enzyme kinetics applied to insect behavior predict performance at different temperatures suggesting that thermal physiology governs behavior. However, insects also possess thermosensory neurons critical for locating preferred temperatures, showing cognitive control. This suggests that temperature-related behavior can emerge directly from a physiological effect, indirectly as a consequence of thermosensory processing, or through a combination of both. To separate the roles of thermal physiology and cognitive control, we developed an arena that allows fast temperature changes in time and space, and in which animals' movements are automatically quantified. We exposed wild-type  and thermosensory receptor mutants to a dynamic temperature environment and tracked their movements. The locomotor speed of wild-type flies closely matched models of enzyme kinetics, but the behavior of thermosensory mutants did not. Mutations in thermosensory receptor gene  () expressed in the brain resulted in a complete lack of response to temperature changes, while mutations in peripheral thermosensory receptor gene  resulted in a diminished response. We conclude that flies react to temperature through cognitive control, informed by interactions between various thermosensory neurons, the behavioral output of which resembles models of enzyme kinetics.

Andrea Soto-Padilla

Groningen Institute for Evolutionary Life Sciences

University of Groningen

An Automated Method to Determine the Performance of Drosophila in Response to Temperature Changes in Space and Time

Andrea Soto-Padilla

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University of Groningen

An Automated Method to Determine the Performance of Drosophila in Response to Temperature Changes in Space and Time

Groningen Institute for Evolutionary Life Sciences