Mechanisms of Active Sensing in Drosophila

果蝇主动感知机制

• 批准号: 10577439
• 负责人: MARIE SUVER
• 金额: $ 24.9万
• 依托单位: VANDERBILT UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-15 至 2025-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10577439
• 关键词: Afferent Neurons; Animal Model; Animals; BRAIN initiative; Behavior; Behavioral; Biological Models; Brain; Cell model; Cells; Characteristics; Data; Disease; Drosophila genus; Drosophila melanogaster; Electrophysiology (science); Environmental Wind; Esthesia; Failure; Fingers; Flying body movement; Genetic; Genetic Models; Goals; Grant; Hand; Human; Immunohistochemistry; Insecta; Label; Learning; Location; Machine Learning; Measures; Mediating; Mentors; Mission; Modeling; Molecular; Motor; Motor Neurons; Movement; Muscle; Nervous System Physiology; Nervous system structure; Neurons; Neurotransmitters; Odors; Phase; Population; Process; Regulation; Research; Resolution; Role; Schizophrenia; Sensory; Shapes; Signal Transduction; Speed; Stains; Stimulus; Study models; System; Testing; Touch sensation; Translating; Walking; Work; autism spectrum disorder; expectation; experimental study; fly; goal oriented behavior; insight; machine learning algorithm; neural circuit; novel; optogenetics; patch clamp; response; sensor; sensory stimulus; tool; Afferent Neurons; Animal Model; Animals; BRAIN initiative; Behavior; Behavioral; Biological Models; Brain; Cell model; Cells; Characteristics; Data; Disease; Drosophila genus; Drosophila melanogaster; Electrophysiology (science); Environmental Wind; Esthesia; Failure; Fingers; Flying body movement; Genetic; Genetic Models; Goals; Grant; Hand; Human; Immunohistochemistry; Insecta; Label; Learning; Location; Machine Learning; Measures; Mediating; Mentors; Mission; Modeling; Molecular; Motor; Motor Neurons; Movement; Muscle; Nervous System Physiology; Nervous system structure; Neurons; Neurotransmitters; Odors; Phase; Population; Process; Regulation; Research; Resolution; Role; Schizophrenia; Sensory; Shapes; Signal Transduction; Speed; Stains; Stimulus; Study models; System; Testing; Touch sensation; Translating; Walking; Work; autism spectrum disorder; expectation; experimental study; fly; goal oriented behavior; insight; machine learning algorithm; neural circuit; novel; optogenetics; patch clamp; response; sensor; sensory stimulus; tool

The goal of this project is to study the cellular basis of active sensation. A crucial function of all nervous systems is to distinguish between sensory stimuli originating from the external world and that generated by our own movements. This task relies on brain circuits that integrate sensory information with an internal model, or expectation, of self-generated movements. The complexity and intractability of many models used to study active sensing means that translating insights from these studies to failures of normal nervous system function remains challenging. Fruit flies (Drosophila melanogaster) actively move their antennae, and my recent work has elucidated a neural circuit that processes mechanosensory information from the antenna. Given the power of Drosophila as a genetic model organism, this project aims to develop the neural circuits controlling and sensing antennal movement as a cellular model for studying principles of active sensing. In the K99 (mentored) portion of this grant, I will identify the cellular location at which self- versus externally-generated mechanosensory signals become differentially represented in the brain. I will make electrophysiological recordings of intracellular activity from 2nd and 3rd order mechanosensory neurons and compare how these two populations encode passive and active movements of the antennae. I will distinguish between these two types of movements using machine learning analysis of simultaneously recorded video data. For the R00 (independent) phase, I will use optogenetics and immunohistochemistry to identify motor neurons that control antennal movement. I will then ask where input from motor neurons impinge on the sensory circuit. Finally, I will test the role of active antennal movements in behavior. By perturbing active antennal movements in freely walking and flying flies, I will directly test how these movements enable different behavioral tasks such as wind orientation and obstacle avoidance. Together, these experiments will identify the cellular basis for active sensing in Drosophila, and their role in goal- oriented behaviors.

该项目的目的是研究主动感觉的细胞基础。所有神经系统的关键功能是区分源自外部世界的感觉刺激以及我们自己的运动产生的感觉。该任务依赖于将感官信息与内部模型或自我生成运动的期望相结合的大脑电路。许多用于研究主动感测的模型的复杂性和顽固性意味着将这些研究的见解转化为正常神经系统功能的失败仍然具有挑战性。水果蝇（果蝇Melanogaster）积极移动其天线，我最近的工作阐明了一种神经回路，该神经回路处理了天线的机械感觉信息。鉴于果蝇作为遗传模型生物的力量，该项目旨在开发控制和感应触角运动的神经回路作为研究主动传感原理的细胞模型。在这笔赠款的K99（指导）部分中，我将确定自我与外部生成的机械感觉信号在大脑中差异表示的细胞位置。我将从第二和第三阶机械感觉神经元中对细胞内活性进行电生理记录，并比较这两个种群如何编码触角的被动和主动运动。我将使用同时记录的视频数据的机器学习分析来区分这两种运动类型。对于R00（独立）阶段，我将使用光遗传学和免疫组织化学来识别控制触角运动的运动神经元。然后，我将问到感官电路上的运动神经元的输入在哪里。最后，我将测试主动运动在行为中的作用。通过在自由步行和飞行的苍蝇中扰动主动触角运动，我将直接测试这些运动如何实现不同的行为任务，例如风向方向和避免障碍物。这些实验将共同确定果蝇中主动传感的细胞基础，以及它们在目标方向行为中的作用。