Funnel landscape and mutational robustness as a result of evolution under thermal noise
Ayaka Sakata, Koji Hukushima, Kunihiko Kaneko

TL;DR
This paper models biological evolution using a spin system to show how thermal noise influences the development of funnel landscapes and mutational robustness, revealing phase transitions and the emergence of robust, rapid expression dynamics.
Contribution
It introduces a statistical-mechanical spin model to analyze how thermal noise affects evolutionary phases, highlighting the emergence of funnel landscapes and robustness.
Findings
Evolved genotypes in an intermediate temperature phase exhibit rapid, funnel-like expression dynamics.
A phase transition occurs at a critical temperature T_S^{c1} leading to a spin-glass phase.
Mutational robustness and rapid expression are linked to the local Mattis state in the model.
Abstract
In biological systems, expression dynamics to shape a fitted phenotype for function has evolved through mutations to genes, as observed in the evolution of funnel landscape in protein. We study this evolutionary process with a statistical-mechanical model of interacting spins, where the fitted phenotype is represented by a configuration of a given set of "target spins" and interaction matrix J among spins is genotype evolving over generations. The expression dynamics is given by stochastic process with temperature T_S to decrease energy for a given set of J. The evolution of J is also stochastic with temperature T_J, following mutation in J and selection based on a fitness given by configurations of the target spins. Below a certain temperature T_S^{c2}, the highly adapted J evolves, whereasanother phase transition characterised by frustration occurs at T_S^{c1}<T_S^{c2}. At temperature…
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