Diatom phylogenetics inferred based on direct optimization of nuclear-encoded SSU rRNA sequences.

Abstract

Direct optimization (DO) of 126 nuclear-encoded SSU rRNA diatom sequences was conducted. The optimal phylogeny indicated several unique relationships with respect to those recovered from a maximum likelihood (ML) analysis of an alignment based on maximizing primary and secondary structural similarity between 126 nuclear-encoded SSU rRNA diatom sequences (Medlin and Kaczmarska, 2004). Dividing diatoms into the subdivisions Coscinodiscophytina and Bacillariophytina was not supported by the DO phylogeny, due to the paraphyly of the former. The same pertains to Coscinodiscophyceae, Mediophyceae, Thalassiosira, Fragilaria and Amphora. The ordinal-level classification of the diatoms proposed by Round etal. (1990) was for the most part found to be unsupported. The DO phylogeny represented a more rigorous hypothesis than the ML tree because DO maximized character congruence during the homology testing (i.e., alignment/tree search) process whereas the non-phylogenetic similarity-based alignment used in the ML analysis did not. The above statement is supported by "controlled" parsimony analyses of 35 sequences, which strongly suggested that dissimilarities in the DO and ML tree structure were due to the specific homology testing approach used. It could not be precluded that differences in taxon sampling and the use of a dissimilar optimality criteria contributed to discrepancies in the structure of the optimal ML and DO trees.