Abstract Detail


Gomez, Jorge [1], Siniscalchi, Carolina [2], Mandel, Jennifer [2].

The Evolutionary Relationships in Pertyeae (Asteraceae) inferred from Hyb-Seq Data.

Asteraceae (Compositae) comprise more than 25,000 species of sunflowers, artichokes, dandelions and daisies, and represent 10% of all flowering plant species on Earth. Prior to the use of phylogenomics in the family, many evolutionary relationships along the backbone were not highly supported. Recent work has demonstrated that the Hyb-Seq approach can successfully resolve evolutionary relationships within the family. An unexpected finding from our current work is the placement of the small Asian Tribe, Pertyeae, as diverging before a major clade that diversified in Africa, while previous studies placed the tribe as diverging later within the African radiation. The placement of Pertyeae potentially changes our understanding of the biogeographical patterns, major migrations, and the influence of whole genome duplication events for the family. Thus, additional sampling of Pertyeae for both nuclear and plastid data is needed to more confidently understand these early migrations of the family. Using probes developed for the Hyb-Seq method, we sequenced approximately 1000 low-copy number nuclear markers plus partial plastomes for Pertyeae samples, as well as, samples from related outgroup tribes. We incorporated these data into our existing Asteraceae phylogeny and discuss the inclusion of additional taxa in and around the phylogenetic placement of Pertyeae.

Related Links:
Mandel Lab website

1 - University of Memphis, Biological Sciences, 3700 Walker Ave., Memphis, TN, 38152, USA
2 - University of Memphis, Biological Sciences Department, Ellington Hall, 3700 Walker Ave, Memphis, TN, 38152, United States


Presentation Type: Poster This poster will be presented at 5:30 pm. The Poster Session runs from 5:30 pm to 7:00 pm. Posters with odd poster numbers are presented at 5:30 pm, and posters with even poster numbers are presented at 6:15 pm.
Number: PPH005
Abstract ID:430
Candidate for Awards:None

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