@article{RackeveiKarnkowskaWolf2023, author = {Rackevei, Antonia S. and Karnkowska, Anna and Wolf, Matthias}, title = {18S rDNA sequence-structure phylogeny of the Euglenophyceae (Euglenozoa, Euglenida)}, series = {Journal of Eukaryotic Microbiology}, volume = {70}, journal = {Journal of Eukaryotic Microbiology}, number = {2}, doi = {10.1111/jeu.12959}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-311896}, year = {2023}, abstract = {The phylogeny of Euglenophyceae (Euglenozoa, Euglenida) has been discussed for decades with new genera being described in the last few years. In this study, we reconstruct a phylogeny using 18S rDNA sequence and structural data simultaneously. Using homology modeling, individual secondary structures were predicted. Sequence-structure data are encoded and automatically aligned. Here, we present a sequence-structure neighbor-joining tree of more than 300 taxa classified as Euglenophyceae. Profile neighbor-joining was used to resolve the basal branching pattern. Neighbor-joining, maximum parsimony, and maximum likelihood analyses were performed using sequence-structure information for manually chosen subsets. All analyses supported the monophyly of Eutreptiella, Discoplastis, Lepocinclis, Strombomonas, Cryptoglena, Monomorphina, Euglenaria, and Colacium. Well-supported topologies were generally consistent with previous studies using a combined dataset of genetic markers. Our study supports the simultaneous use of sequence and structural data to reconstruct more accurate and robust trees. The average bootstrap value is significantly higher than the average bootstrap value obtained from sequence-only analyses, which is promising for resolving relationships between more closely related taxa.}, language = {en} }