| Abstract Detail
Pteridology Jorgensen, Stacy A [1], Barker, Michael S [2]. Evolutionary history and population genomics of the allotetraploid lycophyte Selaginella rupincola. Selaginella is a lineage of vascular land plants comprising ca. 700-800 species and is characterized by obligate heterospory, a dominant and complex sporophyte stage, and a lignified vascular system. This lycophyte group originated approximately 400 MYA, and is an emerging model system integral to understanding the evolutionary history of land plants. Selaginella rupincola is a native of the Madrean Sky Islands of the southwestern United States and the Sierra Madre of Mexico. It is an allotetraploid (n=20), with a much broader range than is hypothesized progenitors. Among its xeric-adapted features is a resurrection phenotype associated with a radiation of Selaginella species in arid western North America. Here, we use a combination of approaches to investigate the hybrid history and population genetics of S. rupincola. Previously published Sanger sequence data and newly generated transcriptome data provide insights into the parentage of this allopolyploid. Double digest restriction-associated DNA sequence (ddRADseq) data are used to sample S. rupincola genomes at the population level. In our pilot study, we sampled five Sky Island populations in order to estimate population parameters at a genomic scale. Moving forward, we hope to improve spatial sampling of S. rupincola throughout its range, and to sample the genomes of the hypothesized progenitors.
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Related Links:
Barker Lab website
1 - University of Arizona, Ecology & Evolutionary Biology, 1041 E Lowell St, PO Box 210088, Tucson, AZ, 85721, USA
2 - University Of Arizona, Department Of Ecology & Evolutionary Biology, P.O. Box 210088, Tucson, AZ, 85721, USA
Keywords:
genome evolution
polyploidy
Lycophyte
RADseq.
Presentation Type: Oral Paper
Session: 7, Pteridological Section/AFS
Location: 203/Savannah International Trade and Convention Center
Date: Monday, August 1st, 2016
Time: 10:15 AM
Number: 7008
Abstract ID:670
Candidate for Awards:None |
