ArticleNeuron2015
Neural Mechanisms for Evaluating Environmental Variability in Caenorhabditis elegans.
Article in Neuron, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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Who cites it
54 citing papers in PubMed.
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- Experimental modeling of Alzheimer's disease: Translational lessons from cross-taxon analyses.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- A Markovian dynamics forProceedings of the National Academy of Sciences of the United States of America · 2024Article
- C. elegans foraging as a model for understanding the neuronal basis of decision-making.Cellular and molecular life sciences : CMLS · 2024Review
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- Distinct neurogenetic mechanisms establish the same chemosensory valence state at different life stages in Caenorhabditis elegans.G3 (Bethesda, Md.) · 2024Article
- Fluctuating landscapes and heavy tails in animal behavior.bioRxiv : the preprint server for biology · 2023Article
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- The conserved endocannabinoid anandamide modulates olfactory sensitivity to induce hedonic feeding in C. elegans.Current biology : CB · 2023Article
- The nematode wormeLife · 2023Article
- Intestine-to-neuronal signaling alters risk-taking behaviors in food-deprived Caenorhabditis elegans.PLoS genetics · 2022Article
- Stearoyl-CoA desaturases sustain cholinergic excitation and copulatory robustness in metabolically agingiScience · 2022Article
- Deficiency in RCAT-1 Function Causes Dopamine Metabolism Related Behavioral Disorders inInternational journal of molecular sciences · 2022Article
- The role of food odor in invertebrate foraging.Genes, brain, and behavior · 2022Review
- Recording and Quantifying C. elegans Behavior.Methods in molecular biology (Clifton, N.J.) · 2022Article
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Authors and funding
6 authors.
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Abstract
The ability to evaluate variability in the environment is vital for making optimal behavioral decisions. Here we show that Caenorhabditis elegans evaluates variability in its food environment and modifies its future behavior accordingly. We derive a behavioral model that reveals a critical period over which information about the food environment is acquired and predicts future search behavior. We also identify a pair of high-threshold sensory neurons that encode variability in food concentration and the downstream dopamine-dependent circuit that generates appropriate search behavior upon removal from food. Further, we show that CREB is required in a subset of interneurons and determines the timescale over which the variability is integrated. Interestingly, the variability circuit is a subset of a larger circuit driving search behavior, showing that learning directly modifies the very same neurons driving behavior. Our study reveals how a neural circuit decodes environmental variability to generate contextually appropriate decisions.
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