ArticleBMC biology2022
A neuromechanical model for Drosophila larval crawling based on physical measurements.
Article in BMC biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 32 citations in OpenAlex.
- Multiple Scales of Coordination along the Body Axis duringThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Drosophila melanogaster larvae generate force to counteract external mechanical pressure.The Journal of experimental biology · 2026Article
- Superparamagnetic MnFeBiomaterials and biosystems · 2025Article
- Behavioral resilience via dynamic circuit firing homeostasis.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Mechanosensory Control of Locomotion in Animals and Robots: Moving Forward.Integrative and comparative biology · 2023Review
- Synchronous multi-segmental activity between metachronal waves controls locomotion speed ineLife · 2023Article
- Adaptive behaviors of Drosophila larvae on slippery surfaces.Journal of biological physics · 2023Article
- Linking neural circuits to the mechanics of animal behavior inFrontiers in neural circuits · 2023Review
- A vacuum-actuated soft robot inspired by Drosophila larvae to study kinetics of crawling behaviour.PloS one · 2023Article
- Regulation of excitation-contraction coupling at the Drosophila neuromuscular junction.The Journal of physiology · 2022Article
- Interspecies variation of larval locomotion kinematics in the genus Drosophila and its relation to habitat temperature.BMC biology · 2021Article
- A leg to stand on: computational models of proprioception.Current opinion in physiology · 2021Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAnimal locomotion requires dynamic interactions between neural circuits, the body (typically muscles), and surrounding environments. While the neural circuitry of movement has been intensively studied, how these outputs are integrated with body mechanics (neuromechanics) is less clear, in part due to the lack of understanding of the biomechanical properties of animal bodies. Here, we propose an integrated neuromechanical model of movement based on physical measurements by taking Drosophila larvae as a model of soft-bodied animals.
resultsWe first characterized the kinematics of forward crawling in Drosophila larvae at a segmental and whole-body level. We then characterized the biomechanical parameters of fly larvae, namely the contraction forces generated by neural activity, and passive elastic and viscosity of the larval body using a stress-relaxation test. We established a mathematical neuromechanical model based on the physical measurements described above, obtaining seven kinematic values characterizing crawling locomotion. By optimizing the parameters in the neural circuit, our neuromechanical model succeeded in quantitatively reproducing the kinematics of larval locomotion that were obtained experimentally. This model could reproduce the observation of optogenetic studies reported previously. The model predicted that peristaltic locomotion could be exhibited in a low-friction condition. Analysis of floating larvae provided results consistent with this prediction. Furthermore, the model predicted a significant contribution of intersegmental connections in the central nervous system, which contrasts with a previous study. This hypothesis allowed us to make a testable prediction for the variability in intersegmental connection in sister species of the genus Drosophila.
conclusionsWe generated a neurochemical model based on physical measurement to provide a new foundation to study locomotion in soft-bodied animals and soft robot engineering.
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