ConductVision · Behavioral Analysis

C. elegans Foraging (Roaming–Dwelling)

Automated roaming–dwelling state classification and patch-residence analysis for C. elegans foraging and food-decision assays.

C. elegansLocomotionAuto Export
ConductVision / C. elegans Foraging (Roaming–Dwelling)
Bacterial lawns
Recording / Trial 3worm tracked
Roaming34%
Patch Residence188s
Leaving Rate0.6/min

Key Parameters

Metrics automatically extracted by ConductVision.

Roaming Fraction

Proportion of time in the fast, directed exploratory state, classified from joint speed and turning-rate dynamics.

Dwelling Fraction

Proportion of time in the slow, localized state associated with feeding on a bacterial patch.

24.3s

Patch Residence Time

Mean duration an animal remains on a food patch before leaving, a core foraging-decision read-out.

Food-Leaving Rate

Frequency of departures from a bacterial lawn per unit time, sensitive to satiety and neuromodulatory state.

Exploration Area

Total plate area covered during the assay, summarizing dispersal.

+ 5 more parameters trackedShow all

State-Transition Rate

Frequency of switching between roaming and dwelling states.

Roaming Bout Duration

Mean length of continuous roaming episodes.

Dwelling Bout Duration

Mean length of continuous dwelling episodes.

Lawn-Border Occupancy

Time spent at the edge of the bacterial lawn versus its interior.

Search Path Tortuosity

Curvature of the trajectory during off-food local search.

What is the C. elegans Foraging Assay?

Foraging assays score how C. elegans allocates its time between exploring an agar plate and exploiting bacterial food. A feeding animal spontaneously alternates between two discrete behavioral states — roaming, a fast and weakly turning state that disperses the animal, and dwelling, a slow and highly turning state associated with local feeding. Ben Arous, Laffont and Chatenay (2009) introduced a quantitative two-state framework for this behavior and showed it is tightly tuned by food concentration.

The roaming–dwelling balance is set by neuromodulation. Fujiwara, Sengupta and McIntire (2002) linked the EGL-4 cGMP-dependent protein kinase to dwelling, and serotonergic and neuropeptide (for example PDF) signaling have since been shown to push the animal into one state or the other, making foraging a sensitive read-out of internal state, satiety and food-related decision-making. Food-leaving assays add a complementary measure of how readily an animal abandons a known food source.

ConductVision classifies roaming and dwelling automatically by combining instantaneous speed with angular velocity over a sliding window, the standard joint criterion for the two states, and tracks each animal’s residence on and departures from defined food patches. Exploration area, state-transition rates and bout durations are exported per animal and per population, with state-coded trajectory overlays for visualization.

The assay is used to study foraging decisions, neuromodulatory control of behavioral state, and satiety, and it supports compound screens that target serotonergic and dopaminergic signaling. Lawn geometry, bacterial density and the animal’s feeding history strongly shape the roaming–dwelling balance, so these should be matched across conditions; throughput is high since many animals can be followed on a single patterned plate.

Key Parameters

ParameterTypical range
PlateNGM agar with defined bacterial patches
Food densityThin to thick lawn (controlled)
Assay duration30 min – several hours
Worm count1–40 young adults per plate
Frame rate1–10 fps
State window~10 s sliding window for classification

Interpreting the Results

Roaming Fraction

Greater dispersal — lower food value or reduced satiety signaling.

Dwelling Fraction

Stronger local feeding — richer food or enhanced dwelling-promoting signaling.

Food-Leaving Rate

Lower food quality or altered neuromodulatory state.

Applications

Decision-making

  • Food-patch exploitation versus exploration
  • Satiety and internal-state effects
  • Food-leaving decisions

Neuromodulation

  • Serotonergic signaling
  • Dopaminergic signaling
  • Neuropeptide (PDF) modulation

Screening

  • Compound effects on behavioral state
  • Sensory-context mutant screens
  • Metabolic and feeding-state read-outs

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