Parallel Multimodal Circuits Control an Innate Foraging Behavior
| Autor: | Patrick T. McGrath, Aylesse Sordillo, Qiang Liu, Navin Pokala, Cornelia I. Bargmann, Alejandro López-Cruz |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Foraging Sensory system Biology Receptors Metabotropic Glutamate 03 medical and health sciences Glutamatergic 0302 clinical medicine Digital pattern generator Animals Local search (optimization) Control (linguistics) Caenorhabditis elegans Caenorhabditis elegans Proteins Adaptive behavior Neurons Appetitive Behavior business.industry General Neuroscience Glutamate receptor Feeding Behavior biology.organism_classification Chemoreceptor Cells 030104 developmental biology Metabotropic glutamate receptor Robust control business Neuroscience Mechanoreceptors 030217 neurology & neurosurgery |
| Zdroj: | Neuron. 102(2) |
| ISSN: | 1097-4199 |
| Popis: | SUMMARYForaging strategies that enable animals to locate food efficiently are composed of highly conserved behavioral states with characteristic features. Here, we identify parallel multimodal circuit modules that control an innate foraging state -- local search behavior -- after food removal in the nematode Caenorhabditis elegans. Two parallel groups of chemosensory and mechanosensory glutamatergic neurons that detect food-related cues trigger local search by inhibiting separate integrating neurons through a metabotropic glutamate receptor, MGL-1. The chemosensory and mechanosensory modules are separate and redundant, as glutamate release from either can drive the full behavior. Spontaneous activity in the chemosensory module encodes information about the time since the last food encounter and correlates with the foraging behavior. In addition, the ability of the sensory modules to control local search is gated by the internal nutritional state of the animal. This multimodal circuit configuration provides robust control of an innate adaptive behavior. |
| Databáze: | OpenAIRE |
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