Abstract # 147:

Scheduled for Sunday, September 20, 2009 06:30 PM-09:00 PM: Session 14 (Mission Bay Ballroom CDE) Poster Presentation


N. Jameson1, A. M. Boddy1, Z. Peng2, J. C. Opazo1,3, S. V. Yi2 and D. E. Wildman1,4
1Wayne State University, Center for Molecular Medicine and Genetics, 540 E. Canfield, Detroit, MI 48021, USA, 2School of Biology, Institute of Bioscience and Bioengineering, Institute of Biosystems, Georgia Institute of Technology, Atlanta, GA 30332, USA, 3Instituto de Ecologia y Evolucion, Facultad de Ciencias, Universidad Austral de Chile, Casilla 567, Valdivia, Chile, 4Wayne State University School of Medicine and Hutzel Women's Hospital, Detroit, MI 48201

We describe new genomic resources developed to study platyrrhine (New World monkey) evolution. In order to elucidate the tempo and mode of platyrrhine evolutionary history, we developed a high throughput method for collecting platyrrhine genomic sequence data. Genomic DNA was extracted from tissue and whole blood samples derived from New World monkeys that are not currently targeted for whole genome sequencing. Individuals from three species, Gray-bellied Night monkey (Aotus lemurinus), Bald Uakari (Cacajao calvus), and White-fronted spider monkey (Ateles belzebuth), were chosen to represent the families Pitheciidae, Cebidae and Atelidae, respectively. To create genomic libraries DNA was randomly cut, size fractionated, and inserted into vectors. Vectors were transformed into bacterial cells and over 500 colonies per species were selected. Inserts were isolated and bidirectionally sequenced. To date, we have produced approximately 1.5 million bps of sequence data. In a subset of the data, 34.5% of the sequences could be mapped to unique and putatively orthologous regions of the human (Homo sapien), chimpanzee (Pan troglodytes), and rhesus macaque (Macaca mulatta) genomes. Data have been made publicly available in GenBank. We curated this dataset in order to develop non-coding markers for phylogenomic analyses. Genomic shotgun libraries are a practical and cost efficient way to generate large amounts phylogenetic and evolutionary relevant sequence data. This research was funded by NSF grants (BCS-0751508) to DW and (BCS-0751481) to SY.