Mapping the neural circuitry underlying walking

绘制行走背后的神经回路

• 批准号: 10201434
• 负责人: Sumaira Zamurrad
• 金额: $ 7.39万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-01 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10201434
• 关键词: ARNT gene; Address; Affect; Afferent Neurons; Anatomy; Animal Model; Animals; Anions; Artificial Intelligence; Behavior; Behavioral; Biological Assay; Brain; Chest; Cloning; Color; Communities; Complex; Data; Disease; Drosophila genus; Environment; Functional disorder; Gait; Generations; Genetic; Genetic Epistasis; Individual; Knowledge; Label; Lead; Leg; Limb structure; Link; Maps; Methods; Morphology; Motor; Motor output; Movement; Nerve; Neural Pathways; Neurodegenerative Disorders; Neurons; Neuropil; Output; Pattern; Play; Resolution; Resources; Rhodopsin; Role; Running; Sensory; Synapses; Techniques; Testing; Walking; design; experimental study; flexibility; fly; interest; kinematics; mind control; motor behavior; motor control; motor disorder; neural circuit; neural network; optogenetics; relating to nervous system; tool

Project Summary Walking is an essential and conserved behavior across the animal kingdom. The ability to move in a coordinated, robust yet flexible manner is a crucial for an animal’s survival in the ever changing environment. Motor behaviors are controlled by sensory neuropils in the brain which talk to motor centers such as the ventral nerve cord (VNC) in the thorax to execute precise motor outputs. Descending neurons are the primary conduits of information that accomplish this connection between the brain and the VNC. However the downstream target neurons and complex circuits that precisely govern the execution of a specific kind of limbed motor output such as running, turning, slowing down, switching gait, climbing, stepping etc remain individually undefined. This project aims to map these individual circuits that control different walking kinematics. In aim 1, we will map the post-synaptic targets of descending neurons using a translabeling technique called Trans Tango. We already know from previous studies that have characterized the morphology of all the descending neurons in Drosophila, which DNs target the leg neuropils in the ventral nerve chord. These descending neurons are very likely to be directly implicated in controlling walking behavior. Additionally, we also have broad behavioral information for a subset of the DNs. Using this existing morphological and behavioral data, we can start to map out the motor and premotor circuits that are downstream of these DNs and reveal the distinct circuit components that control specific walking kinematics. Some of the DNs we plan to screen, affect similar behaviors hence it will be interesting to reveal whether they converge onto similar or different targets. In the second aim, we aim to use a computational approach search for generation Gal4 lines whose neuronal expression patterns match the downstream target neurons we want to study. Existing split Gal4 lines will be identified or new ones will be generated in order to gain genetic access to the downstream circuit neurons of interest. In the third aim, we will use three behavior setups: Flywalker, the Arena and the fly-on-ball setup to study a range of walking parameters in high resolution using optogenetics intersectional strategies. We will use optogenetic activation, silencing and also epistasis experiments to map out which components of the circuit are sufficient or necessary for a particular walking kinematic.

项目总结