Functional mapping of the molluscan brain guided by synchrotron X- ray tomography

• 成果类型: Article
• 署名作者: Crossley, Michael; Simon, Anna; Marathe, Shashidhara; Rau, Christoph; Roth, Arnd; Marra, Vincenzo; Staras, Kevin
• 署名单位: University of Sussex; University of London; University College London; Diamond Light Source
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-9675
• DOI: 10.1073/pnas.2422706122
• 发表日期: 2025-03-04
• 关键词: central pattern generator; cerebral giant-cells; long-term-memory; feeding system; interneuronal mechanism; nervous-system; lymnaea; snail; inhibition; activation

摘要

Molluscan brains are composed of morphologically consistent and functionally interrogable neurons, offering rich opportunities for understanding how neural circuits drive behavior. Nonetheless, detailed component- level CNS maps are often lacking, total neuron numbers are unknown, and organizational principles remain poorly defined, limiting a full and systematic characterization of circuit operation. Here, we establish an accessible, generalizable approach, harnessing synchrotron X- ray tomography, to rapidly determine the three- dimensional structure of the multimillimeter-scale CNS of Lymnaea. Focusing on the feeding ganglia, we generate a full neuron- level reconstruction, revealing key design principles and revising cell count estimates upward threefold. Our atlas uncovers the superficial but also nonsuperficial ganglionic architecture, reveals the cell organization in normally hidden regions-ganglionic dark sides-and details features of single- neuron morphology, together guiding targeted follow- up functional investigation based on intracellular recordings. Using this approach, we identify three pivotal neuron classes: a command- like food- signaling cell type, a feeding central pattern generator interneuron, and a unique behavior- specific motoneuron, together significantly advancing understanding of the function of this classical control circuit. Combining our morphological and electrophysiological data, we also establish a functional CNS atlas in Lymnaea as a shared and scalable resource for the research community.Our approach enables the rapid construction of cell atlases in large- scale nervous systems, with key relevance to functional circuit interrogation in a diverse range of model organisms.