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Título

Phylogenetic position of Salinibacter ruber based on concatenated protein alignments

AutorSoria Carrasco, Víctor CSIC ORCID; Valens-Vadell, Maria CSIC; Peña, Arantxa; Antón, Josefa; Amann, Rudolf; Castresana, José CSIC ORCID ; Rosselló-Mora, Ramón CSIC ORCID
Fecha de publicación2007
EditorElsevier
CitaciónSystematic and Applied Microbiology 30(3): 171-179 (2007)
ResumenA total of 22 genes from the genome of Salinibacter ruber strain M31 were selected in order to study the phylogenetic position of this species based on protein alignments. The selection of the genes was based on their essential function for the organism, dispersion within the genome, and sufficient informative length of the final alignment. For each gene, an individual phylogenetic analysis was performed and compared with the resulting tree based on the concatenation of the 22 genes, which rendered a single alignment of 10,757 homologous positions. In addition to the manually chosen genes, an automatically selected data set of 74 orthologous genes was used to reconstruct a tree based on 17,149 homologous positions. Although single genes supported different topologies, the tree topology of both concatenated data sets was shown to be identical to that previously observed based on small subunit (SSU) rRNA gene analysis, in which S. ruber was placed together with Bacteroidetes. In both concatenated data sets the bootstrap was very high, but an analysis with a gradually lower number of genes indicated that the bootstrap was greatly reduced with less than 12 genes. The results indicate that tree reconstructions based on concatenating large numbers of protein coding genes seem to produce tree topologies with similar resolution to that of the single 16S rRNA gene trees. For classification purposes, 16S rRNA gene analysis may remain as the most pragmatic approach to infer genealogic relationships. © 2006 Elsevier GmbH. All rights reserved.
URIhttp://hdl.handle.net/10261/102134
DOI10.1016/j.syapm.2006.07.001
Identificadoresdoi: 10.1016/j.syapm.2006.07.001
issn: 0723-2020
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