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Optimized Quantitative Assessment of Enhancer RNA Stability in Mouse Embryonic Stem Cells
Published on: November 21, 2025
Quantifying slow evolutionary dynamics in RNA fitness landscapes
Petr Sulc1, Andreas Wagner, Olivier C Martin
1Univ Paris-Sud, UMR8626, LPTMS, Orsay, France. petr.sulc@polytechnique.edu
Journal of Bioinformatics and Computational Biology
|December 2, 2010
Summary
RNA evolution towards optimal structures is slow, taking inverse power time. Evolutionary processes show weak out-of-equilibrium effects, leaving minimal measurable traces except for transition genotypes.
Area of Science:
- Evolutionary biology
- Molecular evolution
- Biophysics
Background:
- RNA secondary structures are crucial for biological functions.
- Understanding RNA evolutionary dynamics under selection is key.
- Previous models often assumed equilibrium conditions.
Purpose of the Study:
- To investigate RNA secondary structure evolution under directional selection.
- To quantify the speed of approach to an optimal RNA structure.
- To assess the significance of out-of-equilibrium effects in RNA evolution.
Main Methods:
- Computational modeling of RNA evolution.
- Analysis of evolutionary trajectories.
- Examination of genotype distributions under selection.
Main Results:
- Punctuated equilibria result in slow evolutionary progress towards optima.
- The approach to the optimum follows an inverse power law of evolutionary time.
- Out-of-equilibrium effects are minimal, with genotype distributions resembling equilibrium stabilizing selection.
- Transition genotypes exhibit unique mutational properties.
Conclusions:
- RNA evolution towards optimal structures is a slow, punctuated process.
- The evolutionary dynamics are largely consistent with equilibrium models.
- Measurable out-of-equilibrium traces are scarce, highlighting the robustness of stabilizing selection principles.
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