| Abstract Detail
Pteridology Testo, Weston [1], Suissa, Jacob [2], Burleigh, Gordon [3], Sessa, Emily [4]. Target enrichment of 360 nuclear loci provide a first look at the evolutionary history of the pantropical fern genus Oleandra. Despite being regarded as one of the most distinctive genera of ferns in the world, Oleandra (Oleandraceae) remains so poorly studied that modern estimates of species richness vary by nearly an order of magnitude and efforts to identify cohesive species groups have largely been unsuccessful. Several factors contribute to this uncertainty, including morphological plasticity, apparent polyploidy, inconsistent taxonomic concepts, and a lack of phylogenetic analyses. Using the GoFlag probe set, we obtain ca. 360 nuclear loci from herbarium specimens representing most Oleandra species and use these data to provide a first look at the evolutionary history of the genus. We find evidence for ancient, geographically coherent clades, evaluate the performance of multiple ploidy estimation approaches, and explore why study of this genus has proved so challenging. We also discuss future directions for study in Oleandra and its relatives as well as the utility of the GoFlag probe set for generating robust phylogenomic data sets from herbarium specimens of various ages. Log in to add this item to your schedule
1 - University Of Gothenburg, Biological And Environmental Sciences, Carl Skottbergs Gata 22b, Gothenburg, Q, 41319, Sweden 2 - Harvard University, Department of Organismic and Evolutionary Biology, 26 Oxford St, Cambridge, Massachusetts, 02138, United States 3 - University Of Florida, Department Of Biology, P.O. Box 118526, Gainesville, FL, 32611, United States 4 - University Of Florida, Biology, Box 118525, 521A Bartram Hall, Gainesville, FL, 32611, United States
Keywords: phylogenomics GoFlag Target enrichment fern biogeography polyploidy Bayesian herbarium.
Presentation Type: Oral Paper Session: PTR1, Pteridology I Location: / Date: Monday, July 19th, 2021 Time: 11:45 AM(EDT) Number: PTR1008 Abstract ID:649 Candidate for Awards:Edgar T. Wherry award |