Supplementary data from: Phylogeny and macroevolution of a “dead clade walking”: a systematic revision of the Paragaricocrinidae (Crinoidea)

The Paragaricocrinidae is an enigmatic Late Paleozoic family of camerate crinoids that retained a robustly constructed calyx more typical of Devonian to Early Mississippian crinoids. The discovery of the oldest member of this family, Tuscumbiacrinus madisonensis n. gen., n. sp., initiated a phylogenetic investigation of the Paragaricocrinidae and consideration of its diversification and paleobiogeographic distribution. Phylogenetic analyses demonstrate the need to describe Tuscumbiacrinus n. gen and conduct revisions to preexisting taxa, resulting in the description of Palenciacrinus mudaensis n. gen., n. sp.; Pulcheracrinus n. gen.; Nipponicrinus hashimotoi n. gen., n. sp.; and Nipponicrinus akiyoshiensis n. gen., n. sp. Also, Megaliocrinus exotericus Strimple, 1951, is reassigned to Pulcherarcrinus n. sp. In addition to having an anachronistic morphology, relatively few specimens are known through the ~76 million-year duration of this family. This pattern is unlikely to have resulted from low fossil sampling alone, and instead likely reflects low abundance and/or taxonomic richness of a long-lived waning clade. From its apparent origination in Laurussia during the Mississippian, it diversified into a cosmopolitan clade. Following a diversity drop during the Pennsylvanian, the Paragaricocrinidae persisted but exemplified characteristics of a dead clade walking until its eventual extinction during the Middle Permian (Wordian).

Methods
Morphological data set was gathered from actual specimens and from the literature. Tables of these data include input matrix into phylogenetic software and diagnostic characters for defining genera and species of Paragaricocrinidae. Additional data information includes cladograms not included in the manuscript and other results to clarify phylogenetic data. Phylogenetic analyses were completed in Markov chain Monte Carlo (MCMC) simulation in MrBayes 3.2.6.