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Microbiology 149 (2003), 3507-3517; DOI  10.1099/mic.0.26515-0
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Microbiology 149 (2003), 3507-3517; DOI  10.1099/mic.0.26515-0
© 2003 Society for General Microbiology

Extracting phylogenetic information from whole-genome sequencing projects: the lactic acid bacteria as a test case

Tom Coenye and Peter Vandamme

Laboratorium voor Microbiologie, Universiteit Gent, K.L. Ledeganckstraat 35, B-9000 Gent, Belgium

Correspondence
Tom Coenye
Tom.Coenye{at}UGent.be

The availability of an ever increasing number of complete genome sequences of diverse prokaryotic taxa has led to the introduction of novel approaches to infer phylogenetic relationships among bacteria. In the present study the sequences of the 16S rRNA gene and nine housekeeping genes were compared with the fraction of shared putative orthologous protein-encoding genes, conservation of gene order, dinucleotide relative abundance and codon usage among 11 genomes of species belonging to the lactic acid bacteria. In general there is a good correlation between the results obtained with various approaches, although it is clear that there is a stronger phylogenetic signal in some datasets than in others, and that different parameters have different taxonomic resolutions. It appears that trees based on different kinds of information derived from whole-genome sequencing projects do not provide much additional information about the phylogenetic relationships among bacterial taxa compared to more traditional alignment-based methods. Nevertheless, it is expected that the study of these novel forms of information will have its value in taxonomy, to determine which genes are shared, when genes or sets of genes were lost in evolutionary history, to detect the presence of horizontally transferred genes and/or confirm or enhance the phylogenetic signal derived from traditional methods. Although these conclusions are based on a relatively small dataset, they are largely in agreement with other studies and it is anticipated that similar trends will be observed when comparing other genomes.


Abbreviations: LAB, lactic acid bacteria; UPGMA, Unweighted Pair Group Method with Arithmetic mean




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