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Abstract Detail



Systematics

Mason-Gamer, Roberta J. [1], White, Dawson [1].

Phylogenetic analysis of the wheat tribe Triticeae (Poaceae) using a Hyb-Seq approach.

Phylogenetic relationships within the wheat tribe, Triticeae (Poaceae), have been under investigation for decades through the application of morphological, cytogenetic, and molecular phylogenetic data. Nevertheless, many relationships within the group remain intractable for a variety of reasons, which likely include past and ongoing introgression, frequent polyploidization, and rapid diversification of basal lineages. Published molecular phylogenetic analyses reveal considerable conflict among topologies derived from different loci, with especially widespread conflict between nuclear vs. chloroplast trees. To obtain additional data for clarification of the group's evolutionary history, we are applying a Hyb-Seq approach, which combines targeted enrichment of low-copy sequences with skimming of non-targeted, high-copy sequences. With this method, we have obtained sequence data from (1) presumably single-copy nuclear loci, including targeted exons and flanking, non-targeted introns; and (2) complete or nearly-complete chloroplast genomes skimmed from the bait-hybridization reaction. The current data set includes 39 diploid Triticeae individuals representing a broad diversity of the tribe. We assess (1) the improvement of resolution and support on our chloroplast DNA-based tree compared to published estimates based on smaller cpDNA data sets; and (2) the level of conflict between the chloroplast DNA tree and a species tree derived from nuclear locus data.


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1 - University of Illinois at Chicago, Biological Sciences, 845 W. Taylor St., MC 066, Chicago, IL, 60607, USA
2 - University of Illinois at Chicago, Biological Sciences, 845 W. Taylor St., MC 066, Chicago, IL, 60607, USA

Keywords:
Triticeae
hyb-seq
wheat tribe
Poaceae.

Presentation Type: Oral Paper
Session: 45, Monocots part B/Basal Eudicots
Location: 200/Savannah International Trade and Convention Center
Date: Wednesday, August 3rd, 2016
Time: 4:15 PM
Number: 45011
Abstract ID:700
Candidate for Awards:None


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