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Relationship between codon usage and sequence-dependent curvature of genomes
R Jáuregui1, F O'Reilly, F Bolivar
1Laboratorio de Biología Computacional, Centro de Investigación sobre Fijación de Nitrógeno, Morelos, México.
Microbial & Comparative Genomics
|February 23, 1999
Summary
DNA curvature varies significantly across life forms. Eubacteria exhibit higher DNA curvature than archaea and eukaryotes, suggesting unique genomic structural properties and potential coevolution with codon usage.
Area of Science:
- Genomics
- Structural Biology
- Bioinformatics
Background:
- DNA structure and conformation are crucial for genomic functions.
- Genomic sequences exhibit variations in physical properties, including curvature.
- Understanding DNA curvature patterns can provide insights into genome organization and evolution.
Purpose of the Study:
- To analyze and compare static DNA curvature distributions across different domains of life (Archaebacteria, Eubacteria, Eukaryotes).
- To investigate the relationship between DNA curvature, coding/intergenic regions, and codon usage.
- To develop a statistical method for quantifying DNA curvature deviation from randomness.
Main Methods:
- Calculation of static DNA curvature distributions for full genomes and large DNA contigs.
- Comparative analysis of curvature profiles between real and randomized DNA sequences.
- Statistical analysis to quantify deviation from randomness.
Main Results:
- Distinct DNA curvature profiles were observed among Archaebacteria, Eubacteria, and Eukaryotes.
- Eubacterial genomes showed higher average curvature than archaeal and eukaryotic genomes, and also higher than random sequences.
- Archaeal and eukaryotic genomes displayed lower curvature than their randomized counterparts; intergenic regions were more curved, especially in prokaryotes.
Conclusions:
- DNA curvature is a distinguishing genomic feature across major life domains.
- A correlation between codon usage and DNA curvature suggests potential coevolution.
- A novel statistical procedure allows for the quantification of DNA curvature profiles relative to randomness.