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Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
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Hidden patterns of codon usage bias across kingdoms.

Yun Deng1, Fabio de Lima Hedayioglu2, Jeremie Kalfon3

  • 1School of Computing, University of Kent, Canterbury CT2 7NF, UK.

Journal of the Royal Society, Interface
|February 20, 2020
PubMed
Summary
This summary is machine-generated.

Scientists developed a new mathematical model and measure for codon usage bias, revealing significant variation within species and suggesting common model organisms may not represent extreme cases relevant to medicine and agriculture.

Keywords:
bacteriacodon usage biasfungiprotistsstochastic thermodynamics

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Area of Science:

  • Genetics
  • Computational Biology
  • Bioinformatics

Background:

  • The genetic code's degeneracy means multiple codons code for one amino acid.
  • Synonymous codons are used non-randomly, a bias with an unknown origin.
  • Understanding codon usage bias is crucial for molecular biology and evolutionary studies.

Purpose of the Study:

  • To derive a first-principles mathematical model for codon usage bias statistics.
  • To introduce a novel computational measure, distance , for quantifying codon usage bias.
  • To analyze codon usage bias across diverse species and identify factors influencing it.

Main Methods:

  • Developed a mathematical model based on stochastic thermodynamics.
  • Derived a new computational measure, distance , assessing codon frequency and mRNA distribution.
  • Performed large-scale computational analysis of over 900 species across fungal and bacterial kingdoms.

Main Results:

  • The model accurately describes codon usage bias distributions in fungi and bacteria.
  • Distance revealed heritable codon usage bias with significant variation within taxonomic classes.
  • Common model organisms exhibit median bias, unlike species of medical/agricultural importance with extreme bias.
  • Amino acid-specific codon usage patterns vary across life, correlating with tRNA content.

Conclusions:

  • Codon usage bias is influenced by heritable traits and varies significantly even within related species.
  • The novel measure offers new biological insights into codon bias.
  • Model organisms may not represent the full spectrum of codon usage bias found in medically or agriculturally relevant species.