A genetically tractable jellyfish model for systems and evolutionary neuroscience.
A genetically tractable jellyfish model for systems and evolutionary neuroscience.
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DOI：
10.1016/j.cell.2021.10.021
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发表时间：
2021-11-24
期刊：
影响因子：
64.5
通讯作者：
Anderson DJ
中科院分区：
文献类型：
--
作者：
Weissbourd B;Momose T;Nair A;Kennedy A;Hunt B;Anderson DJ
水母是一种径向对称的生物，没有大脑，出现于 5 亿多年前。他们通过自主功能的身体部位之间的协调相互作用来实现有机行为。人们已经对水母神经元进行了电生理学研究，但尚未在系统水平上进行研究。我们将 Clytia hemisphaerica 引入为系统神经科学的透明、遗传易驯化的水母模型。我们生成稳定的 F1 转基因系，用于细胞类型特异性条件消融和整个生物体 GCaMP 成像。使用这些工具和计算分析，我们发现表达 RFamide 的神经元的扩散网络在功能上细分为一系列解剖学上神秘的、空间局部的子组合，其选择性激活控制食物从触手到嘴的定向转移，揭示了该物种中意想不到的结构化神经组织程度。 Clytia 为生态和经济重要性日益增长的海洋生物进化枝内的神经功能、行为和进化提供了一个系统级研究平台。水母物种被开发为一种遗传上易于处理的神经科学模型，其中 GCaMP 成像和细胞类型特异性消融的应用揭示了控制摄食行为的空间受限神经元子网络。
Jellyfish are radially symmetric organisms without a brain that arose more than 500 million years ago. They achieve organismal behaviors through coordinated interactions between autonomously functioning body parts. Jellyfish neurons have been studied electrophysiologically, but not at the systems level. We introduce Clytia hemisphaerica as a transparent, genetically tractable jellyfish model for systems neuroscience. We generate stable F1 transgenic lines for cell type-specific conditional ablation and whole-organism GCaMP imaging. Using these tools and computational analyses, we find that a diffuse network of RFamide-expressing neurons is functionally subdivided into a series of anatomically cryptic, spatially localized subassemblies whose selective activation controls directional food transfer from the tentacles to the mouth, revealing an unanticipated degree of structured neural organization in this species. Clytia affords a platform for systems-level studies of neural function, behavior, and evolution within a clade of marine organisms with growing ecological and economic importance. A jellyfish species is developed as a genetically tractable neuroscience model, in which the application of GCaMP imaging and cell type-specific ablation has revealed spatially restricted neuronal subnetworks controlling feeding behaviors.
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