Phylogeny and character evolution of the neotropical fern genus Cyclodium (Dryopteridaceae)
Cite this dataset
Bohn, Amabily et al. (2021). Phylogeny and character evolution of the neotropical fern genus Cyclodium (Dryopteridaceae) [Dataset]. Dryad. https://doi.org/10.5061/dryad.w3r2280rp
Cyclodium is a neotropical fern genus with 13 species, most of them distributed in the Amazonian lowlands, particularly in the Guianan region and along the border with the Andes. It belongs to the polybotryoid clade of Dryopteridaceae, being unique within this clade by a combination of characters related to rhizome growth, leaf dimorphism, anastomosing venation, and peltate indusia. Here we present a molecular phylogenetic hypothesis for Cyclodium resulting from Bayesian and Maximum Likelihood analyses, using molecular sequences of five plastid markers. We also map 12 morphological characters and habit onto the resulting trees. Our results support Cyclodium as monophyletic and sister to Polybotrya. The presence of peltate indusia is the main character distinguishing Cyclodium. Our results also suggest that plesiomorphic conditions in Cyclodium are free venation (vs. anastomosing), creeping rhizomes (vs. erect or decumbent), highly dissected laminae (vs. 1-pinnate), monomorphic sterile and fertile fronds (vs. dimorphic), and pinnatifid apices (vs. conform).
DNA Sequences Alignments
DNA sequences alignments were used in all phylogenetic analyses in this study.
Tree generated with Bayesian analysis.
Tree generated with Maximum Likelihood analysis.
Codes and Species.txt
File (.txt) with the codes and the respective species names, collector, and collector's number.
File (.xls) with states of all 13 characters used to reconstruct the ancestral character states. State's codes are presented in the file README.pdf.
File (.pdf) with state's descriptions for all 13 characters presented in Character matrix.
National Council for Scientific and Technological Development, Award: 155074/2018-0
Coordenação de Aperfeicoamento de Pessoal de Nível Superior, Award: 307514/2016-1