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The Codon Statistics Database: A Database of Codon Usage Bias.

Krishnamurthy Subramanian1, Bryan Payne1, Felix Feyertag1

  • 1Biology Department, University of Nevada, Reno, Reno, NV 89557, USA.

Molecular Biology and Evolution
|July 21, 2022
PubMed
Summary
This summary is machine-generated.

The Codon Statistics Database offers comprehensive codon usage data for over 15,000 species, aiding research in genomics and molecular evolution. This free online resource provides detailed gene and codon statistics for comparative analysis.

Keywords:
codon biascodon usagedatabasesynonymous codons

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Codon usage bias is a significant factor in gene expression and evolution.
  • A centralized, accessible resource for codon usage statistics across diverse species is lacking.
  • Understanding codon usage is crucial for fields like synthetic biology and comparative genomics.

Purpose of the Study:

  • To develop and present the Codon Statistics Database, a comprehensive online repository of codon usage statistics.
  • To provide users with detailed information on codon frequency, Relative Synonymous Codon Usage (RSU), and preferred codons for numerous species.
  • To enable comparative analysis of gene properties such as GC content, Effective Number of Codons (ENC), and Codon Adaptation Index (CAI) across different taxonomic groups.

Main Methods:

  • Compiled codon usage statistics for over 15,000 species with reference or representative genomes from RefSeq.
  • Developed an online database interface for searching species and taxonomic groups.
  • Implemented data retrieval for codon-level statistics and gene-level metrics (GC content, ENC, CAI).
  • Organized data retrieval for different gene categories: all nuclear, ribosomal protein-coding nuclear, mitochondrial, and chloroplast genes.

Main Results:

  • The Codon Statistics Database is now publicly accessible at http://codonstatsdb.unr.edu.
  • Users can query individual species to obtain detailed codon usage tables and gene statistics.
  • Comparative tables for entire taxonomic groups are available, facilitating large-scale evolutionary and genomic studies.
  • The database includes data for nuclear, mitochondrial, and chloroplast genomes where available.

Conclusions:

  • The Codon Statistics Database provides a valuable, free resource for researchers studying codon usage patterns and their implications.
  • Facilitates comparative genomics and evolutionary analyses by offering standardized codon usage data across a vast number of species.
  • Empowers researchers in various fields, including molecular biology, genomics, and synthetic biology, with accessible, comprehensive codon usage information.