: RNA sequence-structure phylogenetics.

Organisms classified as members of the genus belong to the best-known group of single-celled eukaryotes. Nevertheless, the phylogeny within the genus has been discussed and revisited in recent decades and remains partly unresolved. By applying an RNA sequence-structure approach, we attempt to increase accuracy and robustness of phylogenetic trees. For each individual 18S and internal transcribed spacer 2 (ITS2) sequence, a putative secondary structure was predicted through homology modelling. While searching for a structural template, we found, in contrast to the available literature, that the ITS2 molecule consists of three helices in members of the genus and four helices in members of the genus . Two sequencestructure neighbor-joining overall trees were reconstructed with (1) more than 400 taxa (ITS2) and (2) more than 200 taxa (18S). For smaller subsets, neighbor-joining, maximum-parsimony, and maximum-likelihood analyses were executed using sequence-structure information simultaneously. Based on a combined data set (ITS2+18S rDNA) a well-supported tree was reconstructed with bootstrap values over 50 in at least one of the applied analyses. Our results are in general agreement with those published in the available literature based on multi-gene analyses. Our study supports the simultaneous use of sequence-structure data to reconstruct accurate and robust phylogenetic trees.