Cell size reduction distinctly scales spindle elongation and chromosome segregation in C. elegans

C Chukwuebuka William Okafornta R Reza Farhadifar G Gunar Fabig H Hai-Yin Wu M Maria Köckert M Martin Vogel (Johnson & Johnson–Cilag, Neuss, Germany) D Daniel Baum (Department of Visual and Data-Centric Computing, Zuse Institute Berlin) R Robert Haase M Michael J. Shelley (Center for Computational Biology) D Daniel J. Needleman (John A. Paulson School of Engineering and Applied Sciences, Harvard University) T Thomas Müller-Reichert (Core Facility Cellular Imaging, Faculty of Medicine Carl Gustav Carus)

Abstract

Abstract How embryos adapt their internal cellular machinery to reductions in cell size during development remains a fundamental question in cell biology. Here, we use high-resolution lattice light-sheet fluorescence microscopy and automated image analysis to quantify lineage-resolved mitotic spindle and chromosome segregation dynamics from the 2- to 64-cell stages in Caenorhabditis elegans embryos. While spindle length scales with cell size across both wild-type and size-perturbed embryos, chromosome segregation dynamics remain largely invariant, suggesting that distinct mechanisms govern these mitotic processes. Combining femtosecond laser ablation with large-scale electron tomography, we find that mid-spindle microtubules mediate chromosome segregation dynamics and remain uncoupled from cell size across all stages of early development. In contrast, spindle elongation is driven by cortically anchored motor proteins and astral microtubules, rendering it sensitive to cell size. Incorporating these experimental results into an extended stoichiometric model for both the spindle and chromosomes, we find that allowing only cell size and microtubule catastrophe rates to vary reproduces spindle pole-to-pole dynamics across development. The same model also accounts for centrosome separation and pronuclear positioning in the one-cell C. elegans embryo, spindle-length scaling across nematode species spanning ~100 million years of divergence, and spindle rotation in human cells. Thus, a unified stoichiometric framework provides a predictive, mechanistic account of spindle and nuclear dynamics across scales and species.

Article Details

Volume / Issue Vol. 17, Issue 1
Published August 06, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (11)

C

Chukwuebuka William Okafornta

R

Reza Farhadifar

G

Gunar Fabig

H

Hai-Yin Wu

M

Maria Köckert

M

Martin Vogel

Johnson & Johnson–Cilag, Neuss, Germany

D

Daniel Baum

Department of Visual and Data-Centric Computing, Zuse Institute Berlin

R

Robert Haase

M

Michael J. Shelley

Center for Computational Biology

D

Daniel J. Needleman

John A. Paulson School of Engineering and Applied Sciences, Harvard University

T

Thomas Müller-Reichert

Core Facility Cellular Imaging, Faculty of Medicine Carl Gustav Carus