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Whole-genome prokaryotic phylogeny.
Stefan R Henz1, Daniel H Huson, Alexander F Auch
1Center for Bioinformatics Tübingen (ZBIT), Sand 14, Tübingen 72076, Germany.
Bioinformatics (Oxford, England)
|May 29, 2004
Summary
A new method called Genome BLAST Distance Phylogeny (GBDP) uses whole prokaryotic genomes to build evolutionary trees. This approach overcomes limitations of older methods, creating robust and biologically sound phylogenetic trees for 91 prokaryotic genomes.
Area of Science:
- Microbiology
- Bioinformatics
- Evolutionary Biology
Background:
- Prokaryotic phylogeny traditionally relies on small subunit ribosomal RNA (ssu-rRNA) gene comparisons.
- The limited length of ssu-rRNA can lead to mutational saturation, hindering accurate phylogenetic reconstruction.
- The increasing availability of complete prokaryotic genomes presents an opportunity for novel phylogenetic analyses.
Purpose of the Study:
- To develop and validate a new method for prokaryotic phylogeny using whole genome comparisons.
- To address the limitations of ssu-rRNA based phylogenies, such as mutational saturation.
- To construct robust and biologically sound phylogenetic trees for prokaryotes.
Main Methods:
- Introduction of the Genome BLAST Distance Phylogeny (GBDP) strategy.
- Utilizing BLAST for pairwise genome comparisons to generate a distance matrix.
- Applying tree and network reconstruction algorithms (UPGMA, Neighbor-Joining, BioNJ, Neighbor-Net) to the distance matrix.
Main Results:
- GBDP variants robustly produced biologically sound phylogenies for 91 prokaryotic genomes.
- The method effectively utilizes the information present in complete prokaryotic genomes.
- Demonstrated the reliability of whole-genome based phylogenetic analysis.
Conclusions:
- Genome BLAST Distance Phylogeny (GBDP) offers a powerful and reliable approach for prokaryotic phylogenetic studies.
- Whole-genome comparative analysis overcomes limitations associated with marker gene-based phylogenies.
- The developed method provides a robust framework for understanding prokaryotic evolutionary relationships.