GO4genome: a prokaryotic phylogeny based on genome organization.
Determining the phylogeny of closely related prokaryotes may fail in an analysis of rRNA or a small set of sequences. Whole-genome phylogeny utilizes the maximally available sample space. For a precise determination of genome similarity, two aspects have to be considered when developing an algorithm of whole-genome phylogeny: (1) gene order conservation is a more precise signal than gene content; and (2) when using sequence similarity, failures in identifying orthologues or the in situ replacement of genes via horizontal gene transfer may give misleading results. GO4genome is a new paradigm, which is based on a detailed analysis of gene function and the location of the respective genes. For characterization of genes, the algorithm uses gene ontology enabling a comparison of function independent of evolutionary relationship. After the identification of locally optimal series of gene functions, their length distribution is utilized to compute a phylogenetic distance. The outcome is a classification of genomes based on metabolic capabilities and their organization. Thus, the impact of effects on genome organization that are not covered by methods of molecular phylogeny can be studied. Genomes of strains belonging to Escherichia coli, Shigella, Streptococcus, Methanosarcina, and Yersinia were analyzed. Differences from the findings of classical methods are discussed.
Institut für Biophysik und Physikalische Biochemie, Universität Regensburg, 93040, Regensburg, Germany. rainer.merkl@biologie.uni-regensburg.de
Rainer
R
Merkl
Arnim
A
Wiezer
D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D004926:Escherichia coli / Q000235:genetics; D023061:Gene Order; D022761:Gene Transfer, Horizontal; D005798:Genes, Bacterial; D020745:Genome, Archaeal / Q000235:genetics*; D016680:Genome, Bacterial / Q000235:genetics*; D017020:Methanosarcina / Q000235:genetics; D010802:Phylogeny; D011387:Prokaryotic Cells / Q000378:metabolism*; D013291:Streptococcus / Q000235:genetics; D015007:Yersinia / Q000235:genetics