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Abstract Detail



Systematics Section/ASPT

Beck, James [1], Brull, Justin [1], Semple, John [2], Meyer, Gretchen [3].

Species delimitation in Solidago (Asteraceae): can microsatellites and herbarium DNA finally clarify the goldenrods?

Although an accurate account of biodiversity is available for most North American plant groups, a set of potentially species rich genera with controversial species-level taxonomies remain. These groups often exhibit shallow genetic differentiation among taxa, and rigorous species delimitation across such large (>75 described taxa) groups requires both strong molecular datasets and large numbers of readily available samples. Microsatellite or simple sequence repeat (SSR) genotyping is a potentially useful strategy in these instances: SSRs are multi-locus, relatively variable, typically conserved across shallowly diverged groups, and can often be amplified using DNA extracted from herbarium specimens. In this study we evaluate this SSR/herbarium specimen strategy in Solidago (Asteraceae), a genus of ca. 140 currently recognized taxa that is considered one of the most complex in the North American flora. Paired-end Illumina sequencing of an SSR-enriched Solidago gigantea library resulted in ca. 1900 candidate loci, and a set of loci that are amplifiable and variable across the entire genus was identified. The utility of these loci for species delimitation was then assessed in a set of herbarium specimen-extracted DNAs from Solidago subsection Junceae.

Broader Impacts:


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1 - Wichita State University, Biology, 1845 Fairmount, Box 26, Wichita, KS, 67260-0026, USA
2 - UNIVERSITY OF WATERLOO, Department of Biology, 200 University Ave., WATERLOO, ON, N2L 3G1, Canada
3 - University of Wisconsin-Milwaukee, Field Station, 3095 Blue Goose Road, Saukville, WI, 53080

Keywords:
species delimitation
Solidago
microsatellites
herbarium specimens.

Presentation Type: Oral Paper:Papers for Sections
Session: 35
Location: Versailles Ballroom/Riverside Hilton
Date: Tuesday, July 30th, 2013
Time: 4:00 PM
Number: 35010
Abstract ID:486
Candidate for Awards:None


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