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A relationship between GC content and coding-sequence length

J L Oliver1, A Marín

  • 1Departamento de Genética, Instituto de Biotecnología, Facultad de Ciencias, Universidad de Granada, E-18071-Granada, Spain.

Journal of Molecular Evolution
|September 1, 1996
PubMed
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DNA GC content influences reading frame lengths. Longer coding sequences, like vertebrate exons and prokaryotic genes, are GC-rich, while shorter ones are GC-poor, revealing new evolutionary insights.

Area of Science:

  • Genomics
  • Molecular Biology
  • Evolutionary Biology

Background:

  • Translational stop codons (TAG, TAA, TGA) exhibit a base composition bias towards low Guanine-Cytosine (GC) content.
  • This bias suggests that the density of termination signals, and consequently the length of reading frames, should vary with DNA base composition in random sequences.

Purpose of the Study:

  • To investigate the relationship between DNA GC content and the length of coding sequences (reading frames).
  • To explore the evolutionary implications of compositional variations in DNA GC content on gene and protein structure.

Main Methods:

  • Analysis of DNA sequences from diverse genome databases.
  • Stratification of sequences based on GC content.
  • Comparison of coding sequence lengths (exons in vertebrates, genes in prokaryotes) across different GC content strata.

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Main Results:

  • Longest coding sequences, including vertebrate exons and prokaryotic genes, are predominantly found in GC-rich genomic regions.
  • Shorter coding sequences are associated with GC-poor regions.
  • Despite exon lengthening in GC-rich vertebrate regions, vertebrate protein lengths do not increase proportionally, potentially due to a lower exon count in these genes.

Conclusions:

  • DNA GC content significantly influences the length of coding sequences.
  • Compositional variations in DNA GC content have a novel evolutionary significance impacting gene structure.
  • The observed patterns suggest adaptive or selective pressures related to GC content and coding sequence length across different taxa.