Physical principles underpinning molecular-level protein evolution

TL;DR

This paper explores how fundamental physical principles, especially thermodynamics, influence molecular-level protein evolution, aiming to understand factors like evolvability, robustness, and mutational pathways through theoretical models.

Contribution

It introduces a framework linking thermodynamic principles to protein evolution, providing new insights into the physical underpinnings of mutational processes and evolutionary pathways.

Findings

Relationship between thermodynamics and protein evolution

Convergent and divergent evolutionary models analyzed

Potential to improve understanding of mutational effects

Abstract

Since protein mutations are the main driving force of evolution at the molecular level, a proper analysis of them (and the factors controlling them) will enable us to find a response to several crucial queries in evolutionary biology. Among them, we highlight the following: At the molecular level, what factors determine whether protein evolution is repeatable? Aiming at finding an answer to this and several other significant questions behind protein evolvability and the factors that control it (including, but not limited to, the proteins' robustness, the evolutionary pathways, the number of ancestors, the epistasis, the post-translational modifications, and the location and order of mutations) we distinguish two evolutionary models in our analysis: convergent and divergent, based on whether or not a target sequence needs to be reached after n-mutational steps beginning with a wild-type protein sequence (from an unknown ancestor). Preliminary results suggest (regardless of whether the evolution is convergent or divergent) a tight relationship between the thermodynamic hypothesis (or Anfinsen's dogma) and protein evolution at the molecular level. This conjecture will allow us to uncover how fundamental physical principles guide protein evolution, and to gain a deeper grasp of mutationally driven evolutionary processes and the factors that influence them. Breaking down complex evolutionary problems into manageable pieces (without compromising the vision of the problem as a whole) could lead to effective solutions to critical evolutionary biology challenges, paving the way for further progress in this field.