| Abstract Detail
Systematics Section/ASPT Stoughton, Thomas [1]. Dumpster diving for clade resolution: Next Generation Sequencing of Claytonia. The tuberous, perennial Claytonia (Montiaceae) include many North American substrate specialists and some narrow endemics. Understanding of the phylogenetic relationships among taxa in western North America remains elusive even though many taxa occur on isolated outcrops and are distinct genetically.
Previous work concerning tuberous, perennial Claytonia suggests that markers traditionally used for phylogenetic analyses aren’t going to cut it. With the exception of Claytonia species from California, variation in both nuclear and plastid markers has been insufficient to resolve relationships among species.
Next Generation Sequencing was hypothesized to yield more genetic polymorphisms than Sanger sequencing methods have previously, and these data would better resolve the phylogeny of tuberous, perennial Claytonia in North America. Additionally, it was suspected that information about ancient hybridization and divergence in the Claytonia lanceolata species complex would also be obtained from these markers.
Using a double-digest RADseq method and multiple analytical tools for estimating phylogenetic relationships, relationships among tuberous, perennial Claytonia species are estimated and a better understanding of intraspecific patterns of gene flow is obtained.
Information about inter- and intra-specific relationships in combination with our understanding of the geologic history of western North America is used in this study to reflect on how plant species and their geographic ranges change over time.
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1 - Claremont Graduate University, 1500 N. College Avenue, Claremont, CA, 91711, USA
Keywords:
next generation sequencing
ddRAD
ddRADtag
Claytonia
systematics
hybridization
molecular phylogeny
multigene phylogeny
biogeography.
Presentation Type: Oral Paper:Papers for Sections
Session: 31
Location: Salon 4/The Shaw Conference Centre
Date: Tuesday, July 28th, 2015
Time: 9:30 AM
Number: 31007
Abstract ID:1364
Candidate for Awards:George R. Cooley Award |
