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Central nervous system (CNS) gene analysis reveals low codon usage bias, with GC-rich sequences and specific codon over-representation. Mutation pressure and natural selection likely influence these patterns.

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Area of Science:

  • Molecular Biology
  • Genetics
  • Bioinformatics

Background:

  • Codon usage bias (CUB) describes the non-uniform selection of synonymous codons during gene expression.
  • Understanding CUB is crucial for insights into molecular biology, genetics, gene expression, and molecular evolution.
  • Analyzing CUB in central nervous system (CNS) genes can elucidate specific molecular mechanisms within this complex system.

Purpose of the Study:

  • To investigate codon usage patterns in genes associated with the central nervous system (CNS).
  • To determine the extent of codon usage bias in CNS genes using bioinformatic approaches.
  • To explore the potential factors, such as mutation pressure and natural selection, influencing CUB in CNS genes.

Main Methods:

  • Bioinformatic analysis of protein-coding sequences from CNS genes.
  • Calculation of the effective number of codons (ENC) to assess overall codon usage bias.
  • Analysis of relative synonymous codon usage (RSCU) to identify over-represented codons.
  • Correspondence and parity plot analyses to infer the influence of mutation pressure and natural selection.

Main Results:

  • The effective number of codons (ENC) indicated a low overall codon usage bias in CNS genes.
  • A preference for codons ending in G or C at the third position was observed.
  • Specific codons (TCC, AGC, CTG, CAG, CGC, ATC, ACC, GTG, GCC, GGC, CGG) were found to be over-represented (average RSCU > 1.6).
  • GC content was high (59.93%), indicating GC-rich gene sequences.
  • Correlation analyses suggested that both mutation pressure and natural selection likely shape codon usage patterns, with mutation pressure potentially impacting GC content at different codon positions.

Conclusions:

  • Codon usage in CNS genes exhibits a low level of bias, characterized by a preference for GC-rich codons.
  • Mutation pressure and natural selection are identified as significant factors influencing codon usage patterns in the CNS.
  • The findings contribute to a deeper understanding of molecular mechanisms and evolution within the central nervous system.