| Abstract Detail
Systematics Section Borja, Guadalupe [1], Doust, Andrew [2]. Distinguishing incomplete lineage sorting and gene flow to infer the evolution of the Southeastern bladderpods (Paysonia spp.):a preliminary phylogenetic analysis. Two main problems that complicate phylogenetic analyses are incomplete lineage sorting and hybridization. One genus in which these phenomena are manifested is Paysonia, a small genus of mustards (Brassicaceae) with an unusual distribution pattern that divides the group into two distinct geographic areas, the Southeast and the Southwest. These eight species were originally positioned under the larger genus Lesquerella but were recently recognized as a monophyletic group based on morphological characters and chloroplast sequence data. Preliminary phylogenetic analyses utilizing the nuclear marker ITS reveals that the Southwestern Paysonia are well resolved, but the clade containing the five Southeastern species forms a complex species group. To address the problem of incomplete lineage sorting, three non-coding loci from the chloroplast genome, the ndhF-rpl32; the trnDGGU-trnTGGU; and the psbD-trnTGGUspacers, were directly sequenced from three individuals of each of the eight Paysonia species, including 2 outgroup species from the sister genus Physaria. Likelihood and Bayesian phylogenetic methods are being used to infer the evolutionary relationships among species,and we propose to add sequences of two nuclear genes (Phytochrome A and Atmyb2) and an independent empirical estimate of gene flow from microsatellite data to further resolve these complex evolutionary patterns. Broader Impacts:
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1 - Oklahoma State University, Botany Department, 106 Life Sciences East, Stillwater, OK, 74078-3013 , USA
2 - Oklahoma State University, Botany, 104 Life Sciences East, Stillwater, OK, 74078, USA
Keywords:
Brassicaceae
Paysonia
Incomplete lineage sorting
gene flow.
Presentation Type: Oral Paper:Papers for Sections
Session: 29
Location: Lindell B/Chase Park Plaza
Date: Tuesday, July 12th, 2011
Time: 11:00 AM
Number: 29010
Abstract ID:578 |
