title: Specimen-level phylogenetics in paleontology using the Fossilized Birth-Death model with sampled ancestors.
abstract: Bayesian phylogenetic methods integrating simultaneously morphological and stratigraphic information have been applied increasingly among paleontologists. Most of these studies have used Bayesian methods as an alternative to the widely-used parsimony analysis, to infer macroevolutionary patterns and relationships among species-level or higher taxa. Among recently introduced Bayesian methodologies, the Fossilized Birth-Death (FBD) model allows incorporation of hypotheses on ancestor-descendant relationships in phylogenetic analyses including fossil taxa. Here, the FBD model is used to infer the relationships among an ingroup formed exclusively by fossil individuals, i.e., dipnoan tooth plates from four localities in the Ain el Guettar Formation of Tunisia. Previous analyses of this sample compared the results of phylogenetic analysis using parsimony with stratigraphic methods, inferred a high diversity (five or more genera) in the Ain el Guettar Formation, and interpreted it as an artifact inflated by depositional factors. In the analysis performed here, the uncertainty on the chronostratigraphic relationships among the specimens was included among the prior settings. The results of the analysis confirm the referral of most of the specimens to the taxaAsiatoceratodus,Equinoxiodus, LavocatodusandNeoceratodus, but reject those toCeratodusandFerganoceratodus. The resulting phylogeny constrained the evolution of the Tunisian sample exclusively in the Early Cretaceous, contrasting with the previous scenario inferred by the stratigraphically-calibrated topology resulting from parsimony analysis. The phylogenetic framework also suggests that (1) the sampled localities are laterally equivalent, (2) but three localities are restricted to the youngest part of the section; both results are in agreement with previous stratigraphic analyses of these localities. The FBD model of specimen-level units provides a novel tool for phylogenetic inference among fossils but also for independent tests of stratigraphic scenarios.
authors.affiliation: Department of Earth, Life and Environmental Sciences, Alma Mater Studiorum, Bologna University, Bologna, Italy; Geological and Paleontological Museum "G. Capellini", Bologna, Italy.
authors.forename: Andrea
authors.initials: A
authors.lastname: Cau
keywords: Bayesian phylogenetics; Dipnoi; Fossilized Birth-Death model; Lower Cretaceous; Morphological characters; Specimen-level analysis; Stratigraphy; Tunisia