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.
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Presenters
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Thomas C Day
Georgia Institute of Technology
Authors
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Thomas C Day
Georgia Institute of Technology
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Seyed Alireza Zamani Dahaj
Georgia Institute of Technology
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Peter Yunker
Georgia Institute of Technology
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Raymond E Goldstein
Univ of Cambridge, University of Cambridge
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William C Ratcliff
Georgia Institute of Technology
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Stephanie Hoehn
University of Cambridge