演題番号 : P1-m19
塚田 祐基 / Yuki Tsukada:1,2
1:名大院・理・生命 / Graduate School of Science, Nagoya University 2:CREST-JST / JAPAN
The principle of information processing in neural network is still poorly understood. Structural complexity of neural circuits is one of the obstacles for uncovering the information processing mechanism, thereby the dynamic property of information flow from input stimuli to output behavior through the neural circuit is not yet fully captured during specific sets of animal behavior. Caenorhabditis elegans is an ideal system to study information processing in neural network since the patterns of connectivity for all 302 neurons had been mapped out, and several functional neurons and molecules were identified. We are elucidating information processing through the neural circuit specific to thermotaxis of C. elegans by quantitatively measuring input stimulus (temperature), neuronal activity and output behavior (migration and body movements). Our live imaging and tracking system pictured freely moving individual animals during thermotaxis: behavioral analyses were executed with movies recorded for up to an hour at video rate, and neuronal activities were monitored using FRET (Föster Resonance Energy Transfer) based calcium probe (cameleon YC3.60). Our analysis of the animal behavior by quantifying time course of body curvature dynamics carried out with computational image processing well described behavioral state of C. elegans in quantitative way. We are examining the input-output relationship of C. elegans neural circuits through integrating the time course of temperature, migratory traces, behavioral dynamics, and neuronal activities of thermotaxis related neurons. Based on these quantitative results, we are also carrying out mathematical modeling for information processing system in thermotaxis of C. elegans.