D0185 A genomic-era viewpoint of lepidopteran physiology: applications of LepDB.org for pathway analyses

Tuesday, December 15, 2009
Hall D, First Floor (Convention Center)
Brad Coates , Corn Insects and Crop Genetics Research, USDA - ARS, Ames, IA
David Grant , Corn Insects & Crop Genetics Research Unit, USDA-ARS, Ames, IA
Alexie Papanicolaou , School of Biosciences, University of Exeter, Cornwall, United Kingdom
Kent S. Shelby , Biological Control of Insects Research Laboratory, USDA - ARS, Columbia, MO
Kevin W. Wanner , Plant Science and Plant Pathology, Montana State University, Bozeman, MT
Keith R. Hopper , USDA - ARS, Newark, DE
Omaththage Perera , Southern Insect Management Research Unit, USDA - ARS, Stoneville, MS
Thomas W. Sappington , Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA
Richard ffrench-Contant , School of Biosciences, University of Exeter, Cornwall, United Kingdom
Hugh M. Robertson , Department of Entomology, University of Illinois, Champaign, IL
Douglas V. Sumerford , Corn Insects & Crop Genetics Research Unit, USDA-ARS, Ames, IA
The Order Lepidoptera contains several major pests of food, fiber, and biofuel crops. We have implemented an on-line framework for comparative genomics of crop pest species that employs annotated contig assemblies of homologous EST and genomic sequences from Ostrinia nubilalis, Heliothis virescens and Helicoverpa zea, “LepDB” (lepdb.org), with more species being added. LepDB is a collaborative effort between USDA, butterflybase.org, and vectorbase.org. This web portal provides putative and validated genetic marker information for use in population, molecular, and quantitative genetic applications of lepidopteran pest species. Gene orthologies for all contigs is accomplished by via BLAST, InterPro, and gene ontology (GO) databases information, and are reference to the B. mori UniGene set. In the present analyses, we used comparative KEGG metabolic mapping information within LepDB to demonstrate the application of these data to regulatory and biochemical pathway analyses which enables hypothesis-driven metabolomic experimentation. This resource provides a framework for comparative analyses in Lepidoptera, and the community of lepidopteran researchers is invited to become active participants in the LepDB mission.

doi: 10.1603/ICE.2016.44563