Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Static stability predicts the continuum of interleg coordination patterns in Drosophila

View ORCID ProfileNicholas S. Szczecinski, View ORCID ProfileTill Bockemühl, View ORCID ProfileAlexander S. Chockley, View ORCID ProfileAnsgar Büschges
doi: https://doi.org/10.1101/374272
Nicholas S. Szczecinski
1Department of Animal Physiology, Zoological Institute, University of Cologne, 50674 Cologne, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Nicholas S. Szczecinski
Till Bockemühl
1Department of Animal Physiology, Zoological Institute, University of Cologne, 50674 Cologne, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Till Bockemühl
  • For correspondence: till.bockemuehl@uni-koeln.de
Alexander S. Chockley
1Department of Animal Physiology, Zoological Institute, University of Cologne, 50674 Cologne, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Alexander S. Chockley
Ansgar Büschges
1Department of Animal Physiology, Zoological Institute, University of Cologne, 50674 Cologne, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ansgar Büschges
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

During walking, insects must coordinate the movements of their six legs for efficient locomotion. This interleg coordination is speed-dependent; fast walking in insects is associated with tripod coordination patterns, while slow walking is associated with more variable, tetrapod-like patterns. To date, however, there has been no comprehensive explanation as to why these speed-dependent shifts in interleg coordination should occur in insects. Tripod coordination would be sufficient at low walking speeds. The fact that insects use a different interleg coordination pattern at lower speeds suggests that it is more optimal or advantageous at these speeds. Furthermore, previous studies focused on discrete tripod and tetrapod coordination patterns. Experimental data, however, suggest that changes observed in interleg coordination are part of a speed-dependent spectrum. Here, we explore these issues in relation to static stability as an important aspect of interleg coordination in Drosophila. We created a model that uses basic experimentally measured parameters in fruit flies to find the interleg phase relationships that maximize stability for a given walking speed. Based on this measure, the model predicted a continuum of interleg coordination patterns spanning the complete range of walking speeds. Furthermore, for low walking speeds the model predicted tetrapod-like patterns to be most stable, while at high walking speeds tripod coordination emerged as most optimal. Finally, we validated the basic assumption of a continuum of interleg coordination patterns in a large set of experimental data from walking fruit flies and compared these data with the model-based predictions.

Summary statement A simple stability-based modelling approach can explain why walking insects use different leg coordination patterns in a speed-dependent way.

  • List of symbols and abbreviations

    ϕI
    Ipsilateral phase relationship
    ϕI
    Contralateral phase relationship
    AEP
    Anterior extreme position
    BL
    Body length
    COM
    Center of mass
    ICP
    Interleg coordination pattern
    IR
    Infrared
    LED
    Light-emitting diode
    PEP
    Posterior extreme position
    PP
    Polypropylene
    w1118
    D. melanogaster white mutant strain
    WT
    D. melanogaster wildtype strains Berlin and CantonS
  • Copyright 
    The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
    Back to top
    PreviousNext
    Posted July 23, 2018.
    Download PDF
    Email

    Thank you for your interest in spreading the word about bioRxiv.

    NOTE: Your email address is requested solely to identify you as the sender of this article.

    Enter multiple addresses on separate lines or separate them with commas.
    Static stability predicts the continuum of interleg coordination patterns in Drosophila
    (Your Name) has forwarded a page to you from bioRxiv
    (Your Name) thought you would like to see this page from the bioRxiv website.
    CAPTCHA
    This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
    Share
    Static stability predicts the continuum of interleg coordination patterns in Drosophila
    Nicholas S. Szczecinski, Till Bockemühl, Alexander S. Chockley, Ansgar Büschges
    bioRxiv 374272; doi: https://doi.org/10.1101/374272
    Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
    Citation Tools
    Static stability predicts the continuum of interleg coordination patterns in Drosophila
    Nicholas S. Szczecinski, Till Bockemühl, Alexander S. Chockley, Ansgar Büschges
    bioRxiv 374272; doi: https://doi.org/10.1101/374272

    Citation Manager Formats

    • BibTeX
    • Bookends
    • EasyBib
    • EndNote (tagged)
    • EndNote 8 (xml)
    • Medlars
    • Mendeley
    • Papers
    • RefWorks Tagged
    • Ref Manager
    • RIS
    • Zotero
    • Tweet Widget
    • Facebook Like
    • Google Plus One

    Subject Area

    • Animal Behavior and Cognition
    Subject Areas
    All Articles
    • Animal Behavior and Cognition (3579)
    • Biochemistry (7526)
    • Bioengineering (5486)
    • Bioinformatics (20702)
    • Biophysics (10261)
    • Cancer Biology (7939)
    • Cell Biology (11585)
    • Clinical Trials (138)
    • Developmental Biology (6573)
    • Ecology (10145)
    • Epidemiology (2065)
    • Evolutionary Biology (13553)
    • Genetics (9502)
    • Genomics (12796)
    • Immunology (7888)
    • Microbiology (19459)
    • Molecular Biology (7618)
    • Neuroscience (41916)
    • Paleontology (307)
    • Pathology (1253)
    • Pharmacology and Toxicology (2182)
    • Physiology (3253)
    • Plant Biology (7010)
    • Scientific Communication and Education (1291)
    • Synthetic Biology (1942)
    • Systems Biology (5410)
    • Zoology (1108)