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Abstract Detail



Systematics Section/ASPT

Roberts, Roland [1], Costa, Clayton [2].

Molecular phylogeny of the Goldenasters, subtribe Chrysopsidinae (Asteraceae, Astereae), based on nuclear ribosomal and chloroplast sequence data.

Subtribe Chrysopsidinae, also known as goldenasters, is a group of common wildflowers distributed from North to South America, inclusive of eight genera sensu Semple. Historically, phylogenetic inference of the Chrysopsidinae has been based on morphological criteria, resulting in the proposition of multiple different classifications by different researchers. Some studies based on chloroplast DNA restriction site data have been inconclusive in the resolution of relationships among all the genera and species in the group. Furthermore, no single study has sampled among all genera or all known species of the Chrysopsidinae for assessment of evolutionary relationships. In this study, we estimated phylogenies based on molecular data from ETS, ITS, and ycf1 regions for most known taxa of the Chrysopsidinae as the basis for addressing questions related to subtribal and generic monophyly, the relationship of Osbertia, Noticastrum, and Tomentaurum to other genera, morphological trait evolution and the frequency of convergence among morphological features commonly used to delimit species boundaries. Preliminary results from analysis of ycf1 support the monophyly of the Chrysopsidinae. Additional analyses of ETS and ITS data in combination with ycf1 will be utilized to further resolve the relationships of taxa within the Chrysopsidinae and evaluate patterns of character evolution.

Broader Impacts:


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1 - TOWSON UNIVERSITY, 341 SMITH HALL, 8000 YORK RD, TOWSON, MD, 21252, USA
2 - Towson University, Biological Sciences, 341 Smith Hall, 8000 York Road, Towson, Maryland, 21252, United States

Keywords:
Chrysopsidinae
nrDNA
cpDNA
molecular phylogeny.

Presentation Type: Oral Paper:Papers for Sections
Session: 35
Location: Versailles Ballroom/Riverside Hilton
Date: Tuesday, July 30th, 2013
Time: 3:45 PM
Number: 35009
Abstract ID:477
Candidate for Awards:None


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