1. Physics of Living Systems
  2. Computational and Systems Biology

Global morphogenetic flow is accurately predicted by the spatial distribution of myosin motors

  1. Sebastian J Streichan  Is a corresponding author
  2. Matthew Lefebvre
  3. Nicholas Noll
  4. Eric F Wieschaus
  5. Boris I Shraiman  Is a corresponding author
  1. University of California, Santa Barbara, United States
  2. Princeton University, United States
https://doi.org/10.7554/eLife.27454
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  1. Sebastian J Streichan
  2. Matthew Lefebvre
  3. Nicholas Noll
  4. Eric F Wieschaus
  5. Boris I Shraiman
(2018)
Global morphogenetic flow is accurately predicted by the spatial distribution of myosin motors
eLife 7:e27454.
https://doi.org/10.7554/eLife.27454
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Abstract

During embryogenesis tissue layers undergo morphogenetic flow rearranging and folding into specific shapes. While developmental biology has identified key genes and local cellular processes, global coordination of tissue remodeling at the organ scale remains unclear. Here we combine in toto light-sheet microscopy of the Drosophila embryo with quantitative analysis and physical modeling to relate cellular flow with the patterns of force generation during the gastrulation process. We find that the complex spatio-temporal flow pattern can be predicted from the measured meso-scale myosin density and anisotropy using a simple effective viscous model of the tissue, achieving close to 90% accuracy with one time dependent and two constant parameters. Our analysis uncovers the importance of a) spatial modulation of myosin distribution on the scale of the embryo and b) the non-locality of its effect due to mechanical interaction of cells, demonstrating the need for the global perspective in the study of morphogenetic flow.

Article and author information

Author details

  1. Sebastian J Streichan

    Kavli Institute for Theoretical Physics, University of California, Santa Barbara, Santa Barbara, United States
    For correspondence
    streicha@kitp.ucsb.edu
    Competing interests
    The authors declare that no competing interests exist.

  2. Matthew Lefebvre

    Department of Molecular Biology, Princeton University, Princeton, United States
    Competing interests
    The authors declare that no competing interests exist.

  3. Nicholas Noll

    Department of Physics, University of California, Santa Barbara, Santa Barbara, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-1698-7500

  4. Eric F Wieschaus

    Department of Molecular Biology, Princeton University, Princeton, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-0727-3349

  5. Boris I Shraiman

    Kavli Institute for Theoretical Physics, University of California, Santa Barbara, Santa Barbara, United States
    For correspondence
    shraiman@kitp.ucsb.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-0886-8990

Funding

National Science Foundation (PHY-1220616)

  • Boris I Shraiman

Howard Hughes Medical Institute

  • Eric F Wieschaus

National Institutes of Health (NICHD 1K99HD088708)

  • Sebastian J Streichan

Gordon and Betty Moore Foundation (GBMF #2919)

  • Boris I Shraiman

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Frank Jülicher, Max-Planck-Institute for the Physics of Complex Systems, Germany

Version history

  1. Received: April 5, 2017
  2. Accepted: January 20, 2018
  3. Accepted Manuscript published: February 9, 2018 (version 1)
  4. Version of Record published: March 8, 2018 (version 2)

Copyright

© 2018, Streichan et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

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  1. Sebastian J Streichan
  2. Matthew Lefebvre
  3. Nicholas Noll
  4. Eric F Wieschaus
  5. Boris I Shraiman
(2018)
Global morphogenetic flow is accurately predicted by the spatial distribution of myosin motors
eLife 7:e27454.
https://doi.org/10.7554/eLife.27454

Share this article

https://doi.org/10.7554/eLife.27454

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