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Quantifying slow evolutionary dynamics in RNA fitness landscapes


Sulc, P; Wagner, A; Martin, O C (2010). Quantifying slow evolutionary dynamics in RNA fitness landscapes. Journal of Bioinformatics and Computational Biology, 8(6):1027-1040.

Abstract

We re-examine the evolutionary dynamics of RNA secondary structures under directional selection towards an optimum RNA structure. We find that the punctuated equilibria lead to a very slow approach to the optimum, following on average an inverse power of the evolutionary time. In addition, our study of the trajectories shows that the out-of-equilibrium effects due to the evolutionary process are very weak. In particular, the distribution of genotypes is close to that arising during equilibrium stabilizing selection. As a consequence, the evolutionary dynamics leave almost no measurable out-of-equilibrium trace, only the transition genotypes (close to the border between different periods of stasis) have atypical mutational properties.

Abstract

We re-examine the evolutionary dynamics of RNA secondary structures under directional selection towards an optimum RNA structure. We find that the punctuated equilibria lead to a very slow approach to the optimum, following on average an inverse power of the evolutionary time. In addition, our study of the trajectories shows that the out-of-equilibrium effects due to the evolutionary process are very weak. In particular, the distribution of genotypes is close to that arising during equilibrium stabilizing selection. As a consequence, the evolutionary dynamics leave almost no measurable out-of-equilibrium trace, only the transition genotypes (close to the border between different periods of stasis) have atypical mutational properties.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Department of Biochemistry
07 Faculty of Science > Department of Biochemistry
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Life Sciences > Biochemistry
Life Sciences > Molecular Biology
Physical Sciences > Computer Science Applications
Language:English
Date:2010
Deposited On:25 Jan 2011 16:49
Last Modified:23 Jan 2022 18:04
Publisher:World Scientific Publishing
ISSN:0219-7200
Additional Information:Electronic version of an article published as Journal of Bioinformatics and Computational Biology, 8(6):1027-1040. DOI:10.1142/S0219720010005075 © copyright World Scientific Publishing Company. http://www.worldscinet.com/jbcb/jbcb.shtml
OA Status:Green
Publisher DOI:https://doi.org/10.1142/S0219720010005075
PubMed ID:21121025
  • Content: Accepted Version