The Influence of Cellular Characteristics on the Evolution of Shape Homeostasis
Authored by Philip Gerlee, Alexander R A Anderson, David Basanta
Date Published: 2017
DOI: 10.1162/artl_a_00240
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Abstract
The importance of individual cells in a developing multicellular
organism is well known, but precisely how the individual cellular
characteristics of those cells collectively drive the emergence of
robust, homeostatic structures is less well understood. For example,
cell communication via a diffusible factor allows for information to
travel across large distances within the population, and cell
polarization makes it possible to form structures with a particular
orientation, but how do these processes interact to produce a more
robust and regulated structure? In this study we investigate the ability
of cells with different cellular characteristics to grow and maintain
homeostatic structures. We do this in the context of an individual-based
model where cell behavior is driven by an intracellular network that
determines the cell phenotype. More precisely, we investigated evolution
with 96 different permutations of our model, where cell motility, cell
death, long-range growth factor (LGF), short-range growth factor (SGF),
and cell polarization were either present or absent. The results show
that LGF has the largest positive influence on the fitness of the
evolved solutions. SGF and polarization also contribute, but all other
capabilities essentially increase the search space, effectively making
it more difficult to achieve a solution. By perturbing the evolved
solutions, we found that they are highly robust to both mutations and
wounding. In addition, we observed that by evolving solutions in more
unstable environments they produce structures that were more robust and
adaptive. In conclusion, our results suggest that robust collective
behavior is most likely to evolve when cells are endowed with long-range
communication, cell polarisation, and selection pressure from an
unstable environment.
Tags
Migration
Evolution
differentiation
behavior
Development
Shape homeostasis
Target shape
Artificial regulatory networks