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Compositional biases of bacterial genomes and evolutionary implications
S Karlin1, J Mrázek, A M Campbell
1Department of Mathematics, Stanford University, California 94305-2125, USA.
Journal of Bacteriology
|June 1, 1997
Summary
Prokaryotic genomes have unique "genome signatures" based on dinucleotide relative abundance profiles. These signatures reveal evolutionary relationships and compositional biases, aiding in understanding prokaryotic diversity and evolution.
Area of Science:
- Genomics
- Bioinformatics
- Evolutionary Biology
Background:
- Genome composition exhibits biases in short oligonucleotide frequencies.
- These biases can be characteristic of specific species or groups.
- Understanding these patterns is crucial for phylogenetic analysis and evolutionary studies.
Purpose of the Study:
- To compare genome-wide compositional biases and oligonucleotide distributions across diverse prokaryotes.
- To define and analyze the concept of a "genome signature" based on dinucleotide relative abundance profiles.
- To investigate the evolutionary and phylogenetic implications of these genomic signatures.
Main Methods:
- Analysis of complete and partial genomic sequences from 15 diverse prokaryotes.
- Calculation of dinucleotide relative abundance profiles (rhoXY*) for 50-kb contigs.
- Comparison of genome signatures between different species and within the same genome.
- Identification and quantification of specific di- and tetranucleotide biases.
Main Results:
- A consistent dinucleotide relative abundance profile, termed the "genome signature," was observed within individual prokaryotic genomes.
- Differences between genome signatures of different species consistently exceeded differences within the same genome.
- Specific biases were identified, such as CpG underrepresentation in thermophiles and TA underrepresentation across many prokaryotes.
- Methanococcus jannaschii exhibited extreme underrepresentation of CTAG tetranucleotides.
Conclusions:
- The genome signature serves as a reliable marker for distinguishing between prokaryotic species and can highlight evolutionary relationships.
- Observed biases provide insights into genome compositional flux and potential evolutionary pressures.
- Genome signatures have potential applications as a chronometer for molecular phylogeny and understanding the early evolution of life.