Nuclear crowding and nonlinear diffusion during interkinetic nuclear migration in the zebrafish retina

Author:

Azizi Afnan1ORCID,Herrmann Anne2ORCID,Wan Yinan3,Buse Salvador JRP1,Keller Philipp J3ORCID,Goldstein Raymond E2ORCID,Harris William A1ORCID

Affiliation:

1. Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom

2. Department of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Cambridge, United Kingdom

3. Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, United States

Abstract

An important question in early neural development is the origin of stochastic nuclear movement between apical and basal surfaces of neuroepithelia during interkinetic nuclear migration. Tracking of nuclear subpopulations has shown evidence of diffusion - mean squared displacements growing linearly in time - and suggested crowding from cell division at the apical surface drives basalward motion. Yet, this hypothesis has not yet been tested, and the forces involved not quantified. We employ long-term, rapid light-sheet and two-photon imaging of early zebrafish retinogenesis to track entire populations of nuclei within the tissue. The time-varying concentration profiles show clear evidence of crowding as nuclei reach close-packing and are quantitatively described by a nonlinear diffusion model. Considerations of nuclear motion constrained inside the enveloping cell membrane show that concentration-dependent stochastic forces inside cells, compatible in magnitude to those found in cytoskeletal transport, can explain the observed magnitude of the diffusion constant.

Funder

Engineering and Physical Sciences Research Council

Wellcome Trust

Cambridge Commonwealth, European and International Trust

Natural Sciences and Engineering Research Council of Canada

Cambridge Philosophical Society

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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