Generation of feeding decisions in the fly brain

果蝇大脑中进食决策的生成

基本信息

批准号：
9908070
负责人：
Gabriella Rose Sterne
金额：
$ 6.93万
依托单位：
UNIVERSITY OF CALIFORNIA BERKELEY
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-05-01 至 2021-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9908070
关键词：
Afferent Neurons Anatomy Animal Model Animals Behavior Behavioral Biological Models Brain Caenorhabditis elegans Collection Comparative Study Complex Decision Making Diabetes Mellitus Disease Drosophila genus Environment Feeding behaviors Food Generations Genetic Genetic Epistasis Hunger Individual Ingestion Insecta Interneurons Knowledge Label Mammals Modality Molecular Genetics Motor Motor Neurons Movement Mus Nervous system structure Neurons Obesity Olfactory Pathways Organ Organism Output Palate Positioning Attribute Process Recording of previous events Sensory Societies Sodium Chloride Synapses Taste Perception Translating Vertebral column Water Work cell type design detector experimental study feeding fly food quality human disease in vivo in vivo calcium imaging insect disease insight neural circuit neural network neuron component novel programs relating to nervous system sugar transmission process

项目摘要

Appropriate feeding decisions are essential to individual and species survival. In Drosophila, like mammals, neural circuits integrate information about food quality and internal nutritive state to generate feeding decisions. However, the neural circuitry that arrives at and carries out feeding decisions is unknown. Here, we propose to produce the first circuit-level view of Drosophila feeding decision-making circuitry. We will define feeding circuits starting at a previously identified subesophageal zone (SEZ) interneuron, Feeding neuron (Fdg), which generates a complex feeding sequence when activated. Furthermore, Fdg only responds to presentation of palatable food in starved flies, suggesting that Fdg receives information about both food quality and hunger state. Using candidate synaptic partners identified in a preliminary behavioral screen of a novel SEZ split-Gal4 collection, we will define the interneurons that relay information about hunger state and food quality to Fdg and investigate how neurons downstream of Fdg work together to generate a feeding motor sequence. The completion of these experiments will produce the first-ever functional wiring diagram of Drosophila gustatory circuitry and will provide insight into the types of computations neural circuits perform to generate and carry out feeding decisions. Since complex neural networks are thought to arise by extending and combining simple networks arising earlier in evolutionary history, the insights gained by delineating Drosophila feeding circuitry will form the basis for understanding the neural circuits that generate feeding decisions in more complex organisms.

适当的喂养决策对于个人和物种生存至关重要。在果蝇，例如哺乳动物，神经回路整合了有关食物质量和内部的信息营养状态以产生喂养决策。但是，到达的神经电路和执行喂养决策是未知的。在这里，我们建议产生第一个电路级别的视图果蝇的喂养决策回路。我们将定义从一个开始的喂食电路先前鉴定出的次教学区（SEZ）中间神经元，喂养神经元（FDG），该神经元（FDG）激活时会生成复杂的进食序列。此外，FDG仅回应在饥饿的苍蝇中展示可口的食物，这表明FDG接收了有关食物质量和饥饿状态。使用初步确定的候选突触伙伴新型Sez Split-Gal4系列的行为屏幕，我们将定义继电器的中间神经元有关饥饿状态和食物质量的信息，并研究神经元如何 FDG的下游共同起作用以生成喂食运动序列。完成这些实验将产生果蝇味的第一张功能接线图电路并将提供有关神经电路的计算类型的见解产生并执行喂养决策。由于复杂的神经网络被认为会出现通过扩展和结合进化历史上早期出现的简单网络，洞察力通过描述果蝇喂养电路获得的将是理解的基础在更复杂的生物体中产生喂养决策的神经回路。