Compressed sensing based approach identifies modular neural circuitry driving learned pathogen avoidance.

ABSTRACT: An animal's survival hinges on its ability to integrate past information to modify future behavior. The nematode C. elegans adapts its behavior based on prior experiences with pathogen exposure, transitioning from attraction to avoidance of the pathogen. A systematic screen for the neural circuits that integrate the information of previous pathogen exposure to modify behavior has not been feasible because of the lack of tools for neuron type specific perturbations. We overcame this challenge using methods based on compressed sensing to efficiently determine the roles of individual neuron types in learned avoidance behavior. Our screen revealed that distinct sets of neurons drive exit from lawns of pathogenic bacteria and prevent lawn re-entry. Using calcium imaging of freely behavin

SUBMITTER: Hallacy T 

PROVIDER: S-EPMC11507717 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature