The evolutionary dynamics of metabolic protocells

PLoS Computational Biology
Ximo PechuanAviv Bergman

Abstract

Protocell multilevel selection models have been proposed to study the evolutionary dynamics of vesicles encapsulating a set of replicating, competing and mutating sequences. The frequency of the different sequence types determines protocell survival through a fitness function. One of the defining features of these models is the genetic load generated when the protocell divides and its sequences are assorted between the offspring vesicles. However, these stochastic assortment effects disappear when the redundancy of each sequence type is sufficiently high. The fitness dependence of the vesicle with its sequence content is usually defined without considering a realistic account on how the lower level dynamics would specify the protocell fitness. Here, we present a protocell model with a fitness function determined by the output flux of a simple metabolic network with the aim of understanding how the evolution of both kinetic and topological features of metabolism would have been constrained by the particularities of the protocell evolutionary dynamics. In our model, the sequences inside the vesicle are both the carriers of information and Michaelis-Menten catalysts exhibiting saturation. We found that the saturation of the cataly...Continue Reading

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Citations

Nov 18, 2020·The Journal of Membrane Biology·Susovan SarkarSudha Rajamani
May 19, 2021·Proceedings of the National Academy of Sciences of the United States of America·Yei-Chen LaiIrene A Chen

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