Identification of the neural circuitry underlying motion vision in Drosophila

果蝇运动视觉神经回路的鉴定

• 批准号: 8194816
• 负责人: Daryl Gohl
• 金额: $ 5.39万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8194816
• 关键词: Algorithms; Animals; Behavior; Behavioral; Behavioral Assay; Biological; Biological Models; Biological Process; Complex; Computer Simulation; Defect; Detection; Development; Developmental Biology; Disease; Dissection; Drosophila genus; Drosophila melanogaster; Electrophysiology (science); Esthesia; Exhibits; Faculty; Genetic; Genetic Screening; Genetic Techniques; Goals; Health; Individual; Insecta; Lead; Link; Logic; Marines; Mediating; Mentors; Methods; Motion; Motor output; Nervous system structure; Neurobiology; Neurologic; Neurons; Neurosciences; Organism; Pathway interactions; Perception; Primates; Process; Property; Psychophysiology; Role; Sensory; Sensory Process; Stereotyped Behavior; Structure; Study models; System; Technology; Testing; Training; Transgenic Organisms; Universities; Vertebrates; Vision; Visual; Visual Motion; Wood material; Work; base; combinatorial; detector; fly; insight; mathematical model; member; neural circuit; neuronal circuitry; novel; relating to nervous system; response; tool; visual information; visual process; visual processing

DESCRIPTION (provided by applicant): A major goal of neuroscience is to understand the neural processes that link sensory information to the behavior of an organism. The pathways that process visual motion in the fruit fly, Drosophila melanogaster, provide an excellent model system for dissecting the neural circuits that underlie such computations. Despite significant effort and the successful computational modeling of motion vision, the neurological basis for motion detection has yet to be elucidated. The central challenges to understanding neural circuit function are to identify the neurons that participate in each computation, to determine how they are connected to one another, and to assess their functional properties. This proposal develops a novel forward genetic approach based on new transgenic technologies that will achieve these goals. Because forward genetic screens allow the identification of the components of a genetic system in a relatively unbiased manner, they have proven to be extremely powerful tools for understanding many different biological processes, including the mechanisms of development and disease, but have not yet been extensively applied to behavior. Using a sensitive, quantitative behavioral assay, a genetic screen will be carried out to identify neurons that, when disrupted, lead to defects in motion vision. In order to identify the neurons that comprise the motion vision circuitry, it will be necessary to genetically manipulate small, well defined groups of neurons, something that is not possible using current technologies. Because of this, new genetic tools have been developed that allow for systematic dissection of the ensembles of neurons identified in the behavioral screen. Ultimately, studying how these neurons are connected and what their functional properties are should lead to insights into the structure of the neural circuits that process visual information and mediate visual behaviors. These studies will be carried out in the Department of Neurobiology at Stanford University. The applicant will be mentored by two faculty members with expertise spanning the fields of genetics, developmental biology, psychophysical analysis of visual behaviors, and electrophysiology, in insects and primates. The applicant will receive further training by auditing classes, attending seminars, presenting his work in departmental colloquia, and attending a course on quantitative methods in neuroscience at the Woods Hole Marine Biological Lab. PUBLIC HEALTH RELEVANCE: Studies of flies and vertebrates suggest that motion vision represents an evolutionarily ancient computation whose underlying algorithm is conserved across all animals. Therefore, understanding motion vision in flies will be of broad use in understanding the basic neuronal mechanisms of vision and neural computation in both the normal and diseased state.

描述（由申请人提供）：神经科学的一个主要目标是了解将感觉信息与生物体行为联系起来的神经过程。黑腹果蝇（Drosophila melanogaster）处理视觉运动的路径，为解剖这种计算背后的神经回路提供了一个极好的模型系统。尽管运动视觉的计算建模取得了巨大的成功，但运动检测的神经学基础尚未得到阐明。了解神经回路功能的核心挑战是识别参与每个计算的神经元，确定它们如何相互连接，并评估它们的功能特性。本文提出了一种基于新型转基因技术的新型前向遗传方法，以实现这些目标。由于正向遗传筛选允许以相对公正的方式识别遗传系统的组成部分，它们已被证明是理解许多不同生物过程的极其强大的工具，包括发育和疾病的机制，但尚未广泛应用于行为。使用灵敏的定量行为分析，基因筛选将被执行，以识别神经元，当破坏时，导致运动视觉缺陷。为了识别构成运动视觉回路的神经元，有必要对小的、定义明确的神经元群进行基因操作，这是目前技术无法实现的。正因为如此，新的遗传工具已经被开发出来，允许系统地解剖在行为筛选中识别的神经元集合。最终，研究这些神经元是如何连接的，以及它们的功能特性是什么，应该会让我们深入了解处理视觉信息和调节视觉行为的神经回路的结构。这些研究将在斯坦福大学神经生物系进行。申请人将由两名教师指导，他们的专业知识涵盖遗传学、发育生物学、视觉行为的心理物理分析以及昆虫和灵长类动物的电生理学。申请人将接受进一步的培训，包括旁听课程、参加研讨会、在部门座谈会上展示他的工作，以及参加伍兹霍尔海洋生物实验室的神经科学定量方法课程。