title: Integrative taxonomy of ciliates: Assessment of molecular phylogenetic content and morphological homology testing.
abstract: The very diverse and comparatively complex morphology of ciliates has given rise to numerous taxonomic concepts. However, the information content of the utilized molecular markers has seldom been explored prior to phylogenetic analyses and taxonomic decisions. Likewise, robust testing of morphological homology statements and the apomorphic nature of diagnostic characters of ciliate taxa is rarely carried out. Four phylogenetic techniques that may help address these issues are reviewed. (1) Split spectrum analysis serves to determine the exact number and quality of nucleotide positions supporting individual nodes in phylogenetic trees and to discern long-branch artifacts that cause spurious phylogenies. (2) Network analysis can depict all possible evolutionary trajectories inferable from the dataset and locate and measure the conflict between them. (3) A priori likelihood mapping tests the suitability of data for reconstruction of a well resolved tree, visualizes the tree-likeness of quartets, and assesses the support of an internal branch of a given tree topology. (4) Reconstruction of ancestral morphologies can be applied for analyzing homology and apomorphy statements without circular reasoning. Since these phylogenetic tools are rarely used, their principles and interpretation are introduced and exemplified using various groups of ciliates. Finally, environmental sequencing data are discussed in this light.
authors.affiliation: Department of Zoology, Faculty of Natural Sciences, Comenius University in Bratislava, Ilkovičova 6, Mlynská dolina B-1, 842 15 Bratislava, Slovak Republic. Electronic address: vdacny@fns.uniba.sk.
authors.forename: Peter
authors.initials: P
authors.lastname: Vďačný
mesh_terms: D016798:Ciliophora / Q000145:classification* / Q000166:cytology / Q000235:genetics; D002965:Classification; D010802:Phylogeny
keywords: Apomorphies; Phylogenetic networks; Quartet mapping; Reconstruction of ancestral morphologies; Split spectrum