Quantitative 3-dimensional analysis of functional motor circuit remodelling in holometabolous insects

全变态昆虫功能运动回路重塑的定量 3 维分析

• 批准号: 18222204
• 负责人: Professor Dr. Hans-Joachim Pflüger, since 9/2006 (†)
• 金额: --
• 依托单位: AG Neurobiologie
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2005
• 资助国家: 德国
• 起止时间: 2004-12-31 至 2010-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/18222204?language=en
• 关键词: Quantitative; dimensional; analysis; functional; motor

The metamorphosis of holometabolous insects, like Manduca sexta and Drosophila melanogaster, has long served as a powerful model to study mechanisms and functions of postembryonic remodelling of neuronal structure. However, this analysis has mostly been restricted to the single-neurone level. The aim of the proposed project is to expand the analysis to the network level, to address mechanisms and functions of dendritic and axonal shape remodeling and synaptic wiring modifications in developing motor circuits with changing behavioural roles. Two parallel approaches will be conducted: First, we will identify descending neurones with their somata in the SEG, which are presynaptic to the motoneurones for which we already have quantitative 3-D databases. SEG neurone populations are good candidates for descending motor control. Identification of such projection neurones will be achieved by a combination of classical tracing techniques and injection or genetic expression of transsynaptic dyes (e.g. Wheat Germ Agglutinin). Both pre- and postsynaptic circuit elements will be implemented into a three-dimensional reference atlas of insect motor circuits. The necessary tools in AMIRA have recently been developed in our group. Second, the localization of various transmitter substances in the terminals of descending neurones will be analyzed quantitatively in relation to the distribution of receptors throughout the dendritic trees of thoracic motoneurones. This approach will expand our analysis of synapse distribution in dendritic trees from the individual identified neurone to the network level and will contribute to the understanding of the development and the function of motor control by higher centres. Third, the internal organization of selected motor neuropiles with respect to their transmitter and receptor equipment and density will be assessed by immuno-labelling of synaptic proteins and receptors on the light microscopy level. The combination of our 3-D atlas of individual network partners with the study of neuropile organization is an important step toward understanding network organization and function. The digital neuroanatomical data will be combined with physiological data to create realistic multi-compartment models of synaptic integration in dendritic trees, and in the long run, of the computational power of dendritic tree networks.

全变态昆虫的变态过程一直是研究胚胎后神经元结构重塑机制和功能的有力模型。然而，这种分析大多局限于单个神经元层面。拟议项目的目的是将分析扩展到网络水平，以解决树突和轴突形状重塑以及突触线路修改在开发具有改变行为角色的马达电路中的机制和功能。将进行两个平行的方法：首先，我们将识别SEG中的下行神经元及其体细胞，这些神经元与我们已经有定量三维数据库的运动神经元是突触前的。SEG神经元群体是下行运动控制的良好候选者。这种投射神经元的识别将通过结合经典的追踪技术和跨突触染料的注射或遗传表达(例如小麦胚芽凝集素)来实现。突触前和突触后的回路元素都将被实施到昆虫运动回路的三维参考地图集中。我们小组最近开发了阿米拉的必要工具。其次，将定量分析各种递质物质在下行神经元终末的定位与受体在胸段运动神经元树突中的分布。这种方法将我们对树突状结构中突触分布的分析从个体识别的神经元扩展到网络水平，并将有助于理解高级中枢对运动控制的发育和功能。第三，将通过在光学显微镜水平上对突触蛋白和受体进行免疫标记来评估所选运动神经桩相对于其递质和受体设备和密度的内部组织。我们的个人网络伙伴的3-D图谱与神经堆积组织的研究相结合，是理解网络组织和功能的重要一步。数字神经解剖学数据将与生理数据相结合，以创建树突触整合的现实多隔室模型，并从长远来看，树状树网络的计算能力。