A stochastic explanation for observed local-to-global foraging states in Caenorhabditis elegans

Abrupt changes in behavior can often be associated with changes in underlying behavioral states. When placed off food, the foraging behavior of <i>C. elegans</i> can be described as a change between an initial local-search behavior characterized by a high rate of reorientations, followed by a global-search behavior characterized by sparse reorientations. This is commonly observed in individual worms, but when numerous worms are characterized, only about half appear to exhibit this behavior. We propose an alternative model that predicts both abrupt and continuous changes to reorientation that do not rely on behavioral states. This model is inspired by molecular dynamics modeling that defines the foraging reorientation rate as a decaying parameter. By stochastically sampling from the time interval probability distribution defined by this rate, both abrupt and gradual changes to reorientation rates can occur, matching experimentally observed results. Crucially, this model does not depend on behavioral states or information accumulation. Even though abrupt behavioral changes do occur, they are not necessarily indicative of abrupt changes in behavioral states, especially when abrupt changes are not universally observed in the population.

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Journal
eLife
Published
2025-02-13
DOI
https://doi.org/10.7554/elife.104972
Primary Topic
Evolutionary Game Theory and Cooperation
Type
article
Field-Weighted Citation Impact
0.00

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article

A stochastic explanation for observed local-to-global foraging states in Caenorhabditis elegans

Andrew Gordus, Andrew Margolis
eLife
Evolutionary Game Theory and Cooperation
article

A stochastic explanation for observed local-to-global foraging states in Caenorhabditis elegans

Andrew Gordus, Andrew Margolis
article en

Abstract

Abrupt changes in behavior can often be associated with changes in underlying behavioral states. When placed off food, the foraging behavior of <i>C. elegans</i> can be described as a change between an initial local-search behavior characterized by a high rate of reorientations, followed by a global-search behavior characterized by sparse reorientations. This is commonly observed in individual worms, but when numerous worms are characterized, only about half appear to exhibit this behavior. We propose an alternative model that predicts both abrupt and continuous changes to reorientation that do not rely on behavioral states. This model is inspired by molecular dynamics modeling that defines the foraging reorientation rate as a decaying parameter. By stochastically sampling from the time interval probability distribution defined by this rate, both abrupt and gradual changes to reorientation rates can occur, matching experimentally observed results. Crucially, this model does not depend on behavioral states or information accumulation. Even though abrupt behavioral changes do occur, they are not necessarily indicative of abrupt changes in behavioral states, especially when abrupt changes are not universally observed in the population.

eLifeVol. 14
Johns Hopkins University (US), University of California, Los Angeles (US), University of California System (US)
National Institutes of Health
Openalex Percentile: Top 75%
Evolutionary Game Theory and Cooperation
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