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

Accepted version
Peer-reviewed

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Authors

Zamani-Dahaj, Seyed A 
Yanni, David 
Burnetti, Anthony 

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 statistics of cellular neighborhoods of two different multicellular eukaryotes: lab-evolved 'snowflake' yeast and the green alga Volvox 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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Journal Title

Elife

Conference Name

Journal ISSN

2050-084X
2050-084X

Volume Title

Publisher

eLife Sciences Publications Ltd
Sponsorship
Engineering and Physical Sciences Research Council (EP/M017982/1)
Wellcome Trust (207510/Z/17/Z)
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