The Coevolution of Cellularity and Metabolism Following the Origin of Life
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239_2020_Article_9961.pdf
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Author(s)
Takagi, Yuta A
Nguyen, Diep H
Wexler, Tom B
Goldman, Aaron D
Date Issued
August 18, 2020
Publisher
Springer US
Version
Final published version
Abstract
Abstract
The emergence of cellular organisms occurred sometime between the origin of life and the evolution of the last universal common ancestor and represents one of the major transitions in evolutionary history. Here we describe a series of artificial life simulations that reveal a close relationship between the evolution of cellularity, the evolution of metabolism, and the richness of the environment. When environments are rich in processing energy, a resource that the digital organisms require to both process their genomes and replicate, populations evolve toward a state of non-cellularity. But when processing energy is not readily available in the environment and organisms must produce their own processing energy from food puzzles, populations always evolve both a proficient metabolism and a high level of cellular impermeability. Even between these two environmental extremes, the population-averaged values of cellular impermeability and metabolic proficiency exhibit a very strong correlation with one another. Further investigations show that non-cellularity is selectively advantageous when environmental processing energy is abundant because it allows organisms to access the available energy, while cellularity is selectively advantageous when environmental processing energy is scarce because it affords organisms the genetic fidelity required to incrementally evolve efficient metabolisms. The selection pressures favoring either non-cellularity or cellularity can be reversed when the environment transitions from one of abundant processing energy to one of scarce processing energy. These results have important implications for when and why cellular organisms evolved following the origin of life.
MIT Department
Massachusetts Institute of Technology. Computational and Systems Biology Program
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DOI of Published Version
https://doi.org/10.1007/s00239-020-09961-1
