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Updated: Jun 4, 2026

Adaptation at the Extremes of Life: Experimental Evolution with the Extremophile Archaeon Sulfolobus acidocaldarius
Published on: June 14, 2024
The evolution and evolutionary consequences of marginal thermostability in proteins
1Mathematical Biology, National Institute of Medical Research, Mill Hill, London NW7 1AA, United Kingdom. richard.goldstein@nimr.mrc.ac.uk
Marginal protein stability in evolution is not an adaptation but arises from mutation-selection balance. This emergent property influences subsequent evolutionary processes, impacting protein function and stability over time.
Area of Science:
- Evolutionary biology
- Computational biology
- Biochemistry
Background:
- Understanding the evolutionary origins of biological system characteristics is crucial.
- Computational models offer transparent simulations over evolutionary timescales.
- Previous studies explored protein evolution under selective pressures.
Purpose of the Study:
- To investigate the evolutionary emergence of protein stability using a computational model.
- To determine if marginal protein stability is an adaptive trait or an emergent property.
- To analyze the influence of mutation-selection balance on protein stability.
Main Methods:
- A computational model simulating gene evolution under selective pressure for protein folding.
- Simulations tracked protein denaturation temperature relative to growth temperature.
- Analysis focused on the balance between destabilizing mutations and selection.
Main Results:
- Proteins evolved modest stabilities below theoretical maximums.
- Denaturation temperatures tracked simulation temperatures, indicating marginal stability.
- Marginal stability emerged without direct selective pressure for it.
Conclusions:
- Marginal protein stability is an emergent property, not necessarily an adaptation.
- The balance between mutations and selection, influenced by population size, drives marginal stability.
- This natural tendency towards marginal stability can significantly affect evolutionary trajectories.
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