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| 1 | Recent Advances in the Genetic Dissection of Neural Circuits in Drosophila显示文摘Nervous systems endow animals with cognition and behavior. To understand how nervous systems control behavior, neural circuits mediating distinct functions need to be identified and characterized. With superior genetic manipulability, Drosophila is a model organism at the leading edge of neural circuit analysis. We briefly introduce the state-of-the-art genetic tools that permit precise labeling of neurons and their interconnectivity and investigating what is happening in the brain of a behaving animal and manipulating neurons to determine how behaviors are affected. Brain-wide wiring diagrams, created by light and electron microscopy, bring neural circuit analysis to a new level and scale. Studies enabled by these tools advances our understanding of the nervous system in relation to cognition and behavior. | Chao Guo Yufeng Pan Zhefeng Gong | 2019 | Neuroscience Bulletin2019，35，6： | 5 |
| 2 | A Neuronal Pathway that Commands Deceleration in Drosophila Larval Light-Avoidance显示文摘When facing a sudden danger or aversive condition while engaged in on-going forward motion,animals transiently slow down and make a turn to escape.The neural mechanisms underlying stimulation-induced deceleration in avoidance behavior are largely unknown.Here, we report that in Drosophila larvae, light-induced deceleration was commanded by a continuous neural pathway that included prothoracicotropic hormone neurons, eclosion hormone neurons, and tyrosine decarboxylase 2 motor neurons(the PET pathway). Inhibiting neurons in the PET pathway led to defects in lightavoidance due to insufficient deceleration and head casting.On the other hand, activation of PET pathway neurons specifically caused immediate deceleration in larval locomotion. Our findings reveal a neural substrate for the emergent deceleration response and provide a new understanding of the relationship between behavioral modules in animal avoidance responses. | Caixia Gong Zhenhuan Ouyang Weiqiao Zhao Jie Wang Kun Li Peipei Zhou Ting Zhao Nenggan Zheng Zhefeng Gong | 2019 | Neuroscience Bulletin2019，35，6： | 3 |
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