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Single Wavelength Shadow Imaging of Caenorhabditis elegans Locomotion Including Force Estimates
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Predicting path from undulations for C. elegans using linear and nonlinear resistive force theory.

Eric E Keaveny1, André E X Brown

  • 1Department of Mathematics, Imperial College London, London, United Kindom.

Physical Biology
|February 1, 2017
PubMed
Summary
This summary is machine-generated.

Linear resistive force theory effectively models nematode crawling mechanics, predicting worm paths across various behaviors and mutants. Wild isolates exhibit higher drag anisotropy, suggesting more efficient gaits than lab strains, though physical interactions remain unclear.

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Area of Science:

  • Biophysics
  • Animal Locomotion
  • Mechanics of Behavior

Background:

  • Understanding the mechanical interactions between animals and their environment is fundamental to behavioral physics.
  • The nematode *C. elegans* is a simplified model organism ideal for studying these interactions.
  • The physics of nematode crawling, involving body undulation on wet surfaces, is not fully understood, with current models often being empirical.

Purpose of the Study:

  • To validate the effectiveness of linear resistive force theory (RFT) in predicting *C. elegans* locomotion.
  • To investigate differences in crawling mechanics between wild isolates and laboratory strains.
  • To explore discrepancies between model parameters and experimental measurements of drag anisotropy.

Main Methods:

  • Applying linear resistive force theory to predict worm paths based on body posture sequences.
  • Analyzing locomotion data from wild isolates and laboratory-adapted strains (*C. elegans* N2) and various mutants.
  • Comparing model-predicted drag anisotropy with experimentally measured values from direct worm dragging experiments.

Main Results:

  • Linear RFT accurately predicts *C. elegans* paths for forward crawling, reversal, turning, and across different mutant phenotypes.
  • Wild isolates demonstrate significantly higher drag anisotropy (70 ± 28) compared to laboratory strains (3-10), indicating reduced surface slip and potentially more efficient gaits.
  • A nonlinear extension of RFT also predicts paths accurately but does not resolve the parameter discrepancy.

Conclusions:

  • Linear resistive force theory serves as a robust and effective model for *C. elegans* crawling, suitable for simulations and tracking algorithms.
  • Wild isolates of *C. elegans* possess distinct crawling mechanics with higher drag anisotropy than lab strains.
  • The physical mechanisms underlying the interaction between nematodes and their common laboratory substrates require further investigation to resolve observed parameter discrepancies.