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Neural circuits for long-term water-reward memory processing in thirsty Drosophila

Wei-Huan Shyu, Tai-Hsiang Chiu, Meng-Hsuan Chiang, Yu-Chin Cheng, Ya-Lun Tsai, Tsai-Feng Fu, Tony Wu and Chia-Lin Wu ()
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Wei-Huan Shyu: Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University
Tai-Hsiang Chiu: Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University
Meng-Hsuan Chiang: College of Medicine, Chang Gung University
Yu-Chin Cheng: Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University
Ya-Lun Tsai: Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University
Tsai-Feng Fu: National Chi-Nan University
Tony Wu: Linkou Chang Gung Memorial Hospital
Chia-Lin Wu: Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University

Nature Communications, 2017, vol. 8, issue 1, 1-13

Abstract: Abstract The intake of water is important for the survival of all animals and drinking water can be used as a reward in thirsty animals. Here we found that thirsty Drosophila melanogaster can associate drinking water with an odour to form a protein-synthesis-dependent water-reward long-term memory (LTM). Furthermore, we found that the reinforcement of LTM requires water-responsive dopaminergic neurons projecting to the restricted region of mushroom body (MB) β′ lobe, which are different from the neurons required for the reinforcement of learning and short-term memory (STM). Synaptic output from α′β′ neurons is required for consolidation, whereas the output from γ and αβ neurons is required for the retrieval of LTM. Finally, two types of MB efferent neurons retrieve LTM from γ and αβ neurons by releasing glutamate and acetylcholine, respectively. Our results therefore cast light on the cellular and molecular mechanisms responsible for processing water-reward LTM in Drosophila.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms15230

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DOI: 10.1038/ncomms15230

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