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Cellular organization in lab-evolved and extant multicellular species obeys a maximum entropy law

ORAL · Invited

Abstract

The prevalence of multicellular organisms is due in part to their ability to form complex structures. How cells pack in these structures is a fundamental biophysical issue, underlying their functional properties. However, much remains unknown about how cell packing geometries arise, and how they are affected by random noise during growth - especially absent developmental programs. Here, we quantify the cellular neighborhood size statistics of two different multicellular eukaryotes: lab-evolved “snowflake” yeast and the green alga V. carteri. We find that despite large differences in cellular organization, the free space associated with individual cells in both organisms closely fits a modified gamma distribution, consistent with maximum entropy predictions originally developed for granular materials. This `entropic' cellular packing ensures a degree of predictability despite noise, facilitating parent-offspring fidelity even in the absence of developmental regulation. Together with simulations of diverse growth morphologies, these results suggest that gamma-distributed cell neighborhood sizes are a general feature of multicellularity, arising from conserved statistics of cellular packing.

Presenters

  • Thomas C Day

    Georgia Institute of Technology

Authors

  • Thomas C Day

    Georgia Institute of Technology

  • Seyed Alireza Zamani Dahaj

    Georgia Institute of Technology

  • Peter Yunker

    Georgia Institute of Technology

  • Raymond E Goldstein

    Univ of Cambridge, University of Cambridge

  • William C Ratcliff

    Georgia Institute of Technology

  • Stephanie Hoehn

    University of Cambridge