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Abstract Detail


Systematics Section

Wang, Yinu [1], Alice, Lawrence [1].

Relationships among Rubus (Rosaceae) species used in traditional Chinese medicine.

Traditional Chinese medicine has a long history of using plants therapeutically including approximately 42 species of Rubus (Rosaceae). Fruits and other plant parts contain active compounds such as tannins, polyphenols, and terpenes that are used in anti-inflammatory, anti-bacterial, anti-aging and anti-cancer therapy. One of the current challenges limiting further development of Rubus resources in traditional Chinese medicine is a poor understanding of the phylogenetic relationships among Rubus species in general and especially among Asian species. Most Rubus, including all of the traditional Chinese medicinal species, occur in a large, strongly supported clade based on previous studies using chloroplast and nuclear DNA sequences. Our goal is to improve the understanding of phylogenetic relationships among Rubus species used in traditional Chinese medicine and explore the distribution of biochemically active compounds in an evolutionary context. We have added data for 40 species from the trnS-trnG region to an existing data set comprising rpl16 intron, trnK intron including matK, and trnL-trnF region chloroplast DNA sequences. Additional data from the rpl32-ndhF and trnV-ndhC regions will be incorporated. Our parsimony results show strong support for four large subclades composed of predominantly Asian Rubus species including most used in traditional Chinese medicine. However, resolution of and support for relationships within and among the major subclades is low.

Broader Impacts:


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1 - Western Kentucky University, Department of Biology, 1906 College Heights Blvd., Bowling Green, KY, 42101-1080, USA

Keywords:
Rubus
Rosaceae
noncoding chloroplast DNA
phylogenetics
traditional Chinese medicine
active compounds.

Presentation Type: Poster:Posters for Sections
Session: P
Location: Hall A/Convention Center
Date: Monday, August 2nd, 2010
Time: 5:30 PM
Number: PSY020
Abstract ID:674


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