Evolution of the diatoms: IX. Two datasets resolving monophyletic Classes of diatoms are used to explore the validity of adding short clone library sequences to the analysis

A previous study of available diatom sequences tested the value of multiple outgroups in analyses of the 18S ribosomal RNA gene aimed at recovering the three diatom Classes (Coscinodiscophyceae, Mediophyceae, Bacillariophyceae) as monophyletic groups. Of the 34 datasets tested in that study, three recovered these Classes and two of these are explored here in more detail. The major differences between these two datasets were the number of outgroups, the number of nucleotides selected for the analysis and the addition to the dataset of short clone library sequences, primarily from raphid pennate taxa. The addition of short sequences resulted in a smaller dataset in terms of total nucleotides analysed because of the filter selected in the ARB program to generate the final dataset for phylogenetic analysis. The 50% parsimony filter selects a base for the final dataset if that position is parsimony-informative in at least 50% of the sequences chosen for the analysis. Thus, with short sequences, fewer bases are available for selection in the final dataset. A final dataset with fewer nucleotides is produced from the original alignment than from a similar one with no filter applied. If no filter is applied, then a final dataset is produced with all full-length sequences. From these analyses, it was determined that the addition of short clone library sequences recovered sister relationships for certain raphid diatoms that go against conventional wisdom with regard to valve morphology. Thus, the smaller database caused some of the groupings to be unnatural. It was determined that the optimal resolution of the taxa in these datasets resulted from using only full length sequences and selected multiple outgroups. Results obtained from the reduced dataset would be a cause for concern with next generation sequencing in which short amplicons are used to identify taxa.