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Related Experiment Videos

Evolution of biological information.

T D Schneider1

  • 1National Cancer Institute, Frederick Cancer Research and Development Center, Laboratory of Experimental and Computational Biology, PO Box B, Frederick, MD 21702-1201, USA. toms@ncifcrf.gov

Nucleic Acids Research
|July 25, 2000
PubMed
Summary
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Genetic systems rapidly gain information during evolution, similar to punctuated equilibrium. This study quantifies information gain in simulated genetic binding sites using information theory, showing it approaches levels needed for genomic site location.

Area of Science:

  • Evolutionary Biology
  • Information Theory
  • Computational Biology
  • Molecular Genetics

Background:

  • Understanding how genetic systems acquire information through evolution is crucial.
  • Information theory, pioneered by Claude Shannon, quantifies information as reduced uncertainty.
  • In molecular systems, uncertainty relates to entropy and thermodynamics, providing a measurable framework.

Purpose of the Study:

  • To develop and apply a quantitative measure for information gain in genetic systems.
  • To observe and analyze information acquisition during a simulated evolutionary process.
  • To investigate the dynamics of information gain, specifically if it occurs rapidly.

Main Methods:

  • Utilized Claude Shannon's information theory to quantify information in genetic control systems.

Related Experiment Videos

  • Developed a practical method for measuring information in molecular contexts.
  • Employed a computer simulation of evolution to model information gain in artificial protein binding sites.

    • Main Results:

    • The simulation began with zero information in the binding sites.
    • As evolution progressed, the measured information in the evolved binding sites increased significantly.
    • The final information levels were comparable to the amount required to accurately locate sites within the genome.

    Conclusions:

    • Information gain in genetic systems can be quantitatively measured using information theory.
    • Simulated evolution demonstrated a rapid increase in information within binding sites.
    • The rapid information gain supports the theory of punctuated equilibrium in genetic system evolution.