Regular neutral networks outperform robust ones by reaching their top growth rate more quickly

We study the relative importance of "top-speed" (long-term growth rate) and "acceleration" (how quickly the long-term growth rate can be reached) in the evolutionary race to increase population size. We observe that fitness alone does not capture growth rate: robustness, a proper...

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Bibliographic Details
Published in:arXiv.org 2012-02
Main Authors: Blundell, J R, Gallagher, A, Fink, T M A
Format: Article
Language:English
Subjects:
Acceleration
Biological evolution
Depletion
Eigenvalues
Eigenvectors
Fitness
Growth rate
Mutation
Regularity
Ribonucleic acid
RNA
Robustness
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Summary:We study the relative importance of "top-speed" (long-term growth rate) and "acceleration" (how quickly the long-term growth rate can be reached) in the evolutionary race to increase population size. We observe that fitness alone does not capture growth rate: robustness, a property of neutral network shape, combines with fitness to include the effect of deleterious mutations, giving growth rate. Similarly, we show that growth rate alone does not capture population size: regularity, a different property of neutral network shape, combines with growth rate to include the effect of higher depletion rates early on, giving size. Whereas robustness is a function of the principal eigenvalue of the neutral network adjacency matrix, regularity is a function of the principal eigenvector. We show that robustness is not correlated with regularity, and observe in silico the selection for regularity by evolving RNA ribozymes. Despite having smaller growth rates, the more regular ribozymes have the biggest populations.
ISSN:2331-8422