Developmentally driven self-assembly and dynamics of living chiral crystals

ORAL

Abstract

The emergent dynamics exhibited by collections of living organisms often shows signatures of symmetries that are broken at the single-organism level. At the same time, early organism development itself is accompanied by a sequence of symmetry breaking events that eventually establish the body plan. Combining these key aspects of collective phenomena and embryonic development, we describe here the spontaneous formation of hydrodynamically stabilized active crystals made of hundreds of starfish embryos during early development. As development progresses and embryos change morphology, crystals become increasingly disordered and eventually stop forming. We introduce a minimal hydrodynamic model that is fully parameterized by experimental measurements of single embryos. Using this theory, we can quantitatively describe the stability, formation and rotation of crystals, as well as the emergence of long-lived chiral deformation waves. Our work thereby quantitatively connects developmental symmetry breaking events on the single-embryo level with the remarkable macroscopic properties of a novel living chiral crystal system.

*EMBO Longterm Fellowship (EMBO ALTF 528-2019), Deutsche Forschungsgemeinschaft Postdoctoral Research Fellowship (DFG Project 431144836) (A.M.); NSF CAREER Award, NSF grant no. NSF PHY-1748958 (N.F.); NSF-Simons Center for Mathematical and Statistical Analysis of Biology at Harvard (award number 1764269), Harvard Quantitative Biology Initiative as NSF-Simons Postdoctoral Fellowship, CSBD ELBE Postdoctoral Fellow (T.H.T); MIT Department of Physics Curtis Marble Fellowship (Y.C.); Gordon and Betty Moore Foundation as Physics of Living Systems Fellows grant no. GBMF4513 (P.J.F. and S.G.). Robert E. Collins Distinguished Scholarship fund (J.D.)

Publication: arXiv:2105.07507 [cond-mat.soft]

Presenters

  • Alexander Mietke

    • Department of Mathematics, Massachusetts Institute of Technology

Authors

  • Alexander Mietke

    • Department of Mathematics, Massachusetts Institute of Technology
  • Tzer Han Tan

    • Quantitative Biology Initiative, Harvard University & Center for Systems Biology Dresden
  • Hugh Higinbotham

    • Department of Physics, Massachusetts Institute of Technology
  • Junang Li

    • Department of Physics, Massachusetts Institute of Technology
  • Yuchao Chen

    • Department of Physics, Massachusetts Institute of Technology
  • Peter J Foster

    • Department of Physics, Massachusetts Institute of Technology
  • Shreyas Ghokale

    • Department of Physics, Massachusetts Institute of Technology
  • Jorn Dunkel

    • Massachusetts Institute of Technology MIT
    • Department of Mathematics, Massachusetts Institute of Technology
  • Nikta Fakhri

    • Department of Physics, Massachusetts Institute of Technology