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Biomolecular information gained through in vitro evolution.

Takuyo Aita1, Yuzuru Husimi2

  • 1Graduate School of Science and Engineering, Saitama University, Saitama, 338-8570, Japan. taita@mail.saitama-u.ac.jp.

Biophysical Reviews
|May 17, 2017
PubMed
Summary

In vitro evolution models Darwinian processes, revealing two key biomolecular information aspects: extent and content. These are linked by physicochemical properties, analogous to thermodynamic free energy.

Keywords:
Biological informationFitness landscapeFree fitnessIn vitro evolutionPragmatic informationQuasi-speciesSequence space

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Area of Science:

  • Molecular Biology
  • Evolutionary Biology
  • Information Theory

Background:

  • In vitro evolution simulates Darwinian principles in controlled environments.
  • Evolutionary processes can be conceptualized as adaptive walks on fitness landscapes.
  • Biomolecular systems acquire information during evolution.

Purpose of the Study:

  • To review and formulate the concepts of 'content' and 'extent' of biomolecular information.
  • To explore the interconnections between these information aspects and physicochemical properties.
  • To analyze evolutionary information using analogies with thermodynamics.

Main Methods:

  • Review of existing studies on biomolecular information.
  • Modeling evolution as a hill-climbing process in sequence space.
  • Analysis of information aspects through thermodynamic analogies.

Main Results:

  • Biomolecular information has two key aspects: extent (converged sequences) and content (fitness increment).
  • These aspects are intrinsically linked to the biopolymer's physicochemical properties.
  • An analogy with thermodynamics reveals a monotonically increasing free-energy-like function during evolution.

Conclusions:

  • The 'content' and 'extent' of biomolecular information are interconnected and matter-dependent.
  • Thermodynamic principles offer a framework for understanding information gain in evolving systems.
  • Evolutionary processes can be described using a free-energy-like metric.