Inversion of pheromone preference optimizes foraging in C. elegans
Autor: | Jeff Gore, Martina Dal Bello, Frank C. Schroeder, Alfonso Pérez-Escudero |
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Přispěvatelé: | Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
QH301-705.5
media_common.quotation_subject Science [SDV]Life Sciences [q-bio] Foraging Zoology pheromone valence Biology associative learning General Biochemistry Genetics and Molecular Biology Competition (biology) Optimal foraging theory behavioral plasticity 03 medical and health sciences 0302 clinical medicine Biology (General) 030304 developmental biology media_common 0303 health sciences General Immunology and Microbiology General Neuroscience digestive oral and skin physiology General Medicine Attraction Preference Associative learning Sex pheromone Pheromone Medicine optimal foraging pheromones 030217 neurology & neurosurgery |
Zdroj: | eLife eLife, eLife Sciences Publication, 2021, 10, ⟨10.7554/eLife.58144⟩ eLife, Vol 10 (2021) |
ISSN: | 2050-084X |
Popis: | Foraging animals have to locate food sources that are usually patchily distributed and subject to competition. Deciding when to leave a food patch is challenging and requires the animal to integrate information about food availability with cues signaling the presence of other individuals (e.g., pheromones). To study how social information transmitted via pheromones can aid foraging decisions, we investigated the behavioral responses of the model animalCaenorhabditis elegansto food depletion and pheromone accumulation in food patches. We experimentally show that animals consuming a food patch leave it at different times and that the leaving time affects the animal preference for its pheromones. In particular, worms leaving early are attracted to their pheromones, while worms leaving later are repelled by them. We further demonstrate that the inversion from attraction to repulsion depends on associative learning and, by implementing a simple model, we highlight that it is an adaptive solution to optimize food intake during foraging. |
Databáze: | OpenAIRE |
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