Marker alignment statistics are presented in Table S2. In particular, all single protein-encoding marker gene alignments fulfilled the dN/dS < 1 criterion with values ranging between 0.20 and 0.50. At the supra-generic level, the four maximum likelihood (ML) phylogenies and the four consensus trees integrating the ML with the corresponding learn more ME and NJ phylogenies (not shown) reconstructed from 16S and 23S rRNA markers as well as from the ftsY marker and the concatenation of six potential MLST markers (Figs 1-4) coincide
in that the respective sequences attributed to the order Legionellales are clearly separated from the representatives of both Chlamydiales and alphaproteobacterial Rickettsiales. However, only the ribosomal RNA phylogenies consistently represent a Legionellales clade excluding sequences from further Gammaproteobacteria as, for example, Escherichia coli, while supra-generic protein-encoding marker-based assignments appear problematic. At the generic and infra-generic level, in turn, all consensus trees coincide in representing a distinct clade
comprising exactly PD0325901 nmr the three Rickettsiella strains, that is present and maximally bootstrap supported in each of the single trees used for consensus tree construction. Moreover, the internal structure of this Rickettsiella clade is identical in all single phylogenies in that the respective sequences from ‘R. melolonthae’
Metalloexopeptidase and ‘R. tipulae’ are, in line with expectations from their synonymization with R. popilliae, more closely related to each other than to the corresponding R. grylli ortholog. Therefore, in view of these results from phylogenetic reconstruction, the sequences investigated seem to have comparative potential as markers for studies at and below the genus level, with the ribosomal RNA markers, and in particular the 16S rRNA gene, giving superior and more reliable results at higher taxonomic levels. However, the reliability of phylogenetic reconstruction is only moderately well assessed by comparison of best trees generated using different reconstruction methods, even if complemented by confidence limit assessment, for example by bootstrapping analysis. Rather, a reconstructed phylogeny could be considered reliable if all respective second-best trees were shown to be significantly worse representations of the underlying sequence data. Following this rationale, likelihood-based significance testing has been performed to critically evaluate the suitability of the above-mentioned markers for the generic and infra-generic taxonomic assignment of Rickettsiella-like bacteria.