TL;DR
This paper introduces a mathematical model using coupled PDEs to simulate C. elegans L1 aggregation driven by chemotactic signals, supported by experimental gene identification and mutant analysis.
Contribution
It presents a novel PDE-based model for worm aggregation incorporating chemical signals and links it to genetic and behavioral experiments.
Findings
Model reproduces observed aggregation patterns
Identification of srh-2 gene involved in aggregation
Mutant worms form irregular aggregates
Abstract
We describe a mathematical model for the aggregation of starved first-stage C elegans larvae (L1s). We propose that starved L1s produce and respond chemotactically to two labile diffusible chemical signals, a short-range attractant and a longer range repellent. This model takes the mathematical form of three coupled partial differential equations, one that describes the movement of the worms and one for each of the chemical signals. Numerical solution of these equations produced a pattern of aggregates that resembled that of worm aggregates observed in experiments. We also describe the identification of a sensory receptor gene, srh-2, whose expression is induced under conditions that promote L1 aggregation. Worms whose srh-2 gene has been knocked out form irregularly shaped aggregates. Our model suggests this phenotype may be explained by the mutant worms slowing their movement more…
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