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Related Experiment Videos

Universality and Shannon entropy of codon usage.

L Frappat1, C Minichini, A Sciarrino

  • 1Laboratoire d'Annecy-le-Vieux de Physique Théorique LAPTH, CNRS, UMR 5108 associée à l'Université de Savoie, Boîte Postale 110, F-74941 Annecy-le-Vieux Cedex, France. frappat@lapp.in2p3.fr

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|February 3, 2004
PubMed
Summary

Codon usage probabilities in eukaryotes and chloroplasts follow predictable distribution functions. These patterns are strongly influenced by the guanine-cytosine (GC) content of coding regions, suggesting conserved gene expression strategies.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Codon usage bias is a known phenomenon in various organisms.
  • Understanding codon usage patterns can provide insights into gene expression and evolution.

Purpose of the Study:

  • To analyze codon usage probability distributions across diverse eukaryotic species and chloroplasts.
  • To identify the factors influencing these distribution functions.
  • To investigate the relationship between codon usage and guanine-cytosine (GC) content.

Main Methods:

  • Computation of codon usage probabilities using GenBank data for 40 eukaryotic species and five chloroplasts.
  • Fitting distribution functions (constant, exponential, linear) to codon usage rank.
  • Analysis of parameter dependence on the GC content of coding regions.

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  • Calculation of Shannon entropy for codons.

    • Main Results:

    • Codon usage distributions in eukaryotes and chloroplasts are best described by a combination of constant, exponential, and linear functions.
    • Mitochondrial analysis yielded inconclusive results.
    • The parameters of these functions are highly dependent on the GC content of coding regions.
    • A prediction is made that codon usage is conserved across exonic genes with identical GC content.
    • Shannon entropy is also significantly influenced by exonic GC content.

    Conclusions:

    • Codon usage patterns in eukaryotes and chloroplasts exhibit predictable mathematical relationships.
    • The GC content of coding regions is a primary determinant of codon usage and gene expression.
    • These findings suggest a potential for predicting codon usage based on GC content, with implications for synthetic biology and genetic engineering.