Plant & Animal Genomes XIII Conference

January 15-19, 2005
Town & Country Convention Center
San Diego, CA

The Legume Information Resource (LIS): An Integrated Information Resource For Comparative Legume Biology

Michael D. Gonzales¹ , Bill Beavis¹ , Kamal Gajendran¹ , Andrew Farmer¹ , Eric Archuleta¹ , David Grant² , Rex Nelson² , Randy Shoemaker² , Mark Waugh³

¹  National Center for Genome Resources, 2935 Rodeo Park Drive East, Santa Fe, NM, 87505, USA

²  USDA-ARS-CICGR & Department of Agronomy, G401 Agronomy Hall, Iowa State University, Ames, IA, 50011, USA

³  Combiogen Consulting, LLC, 18 Vista Del Monte, Santa Fe, NM, 87508, USA

The National Center for Genome Resources (NCGR) is in the third year of a cooperative research agreement with the USDA Agricultural Research Service (ARS) to develop the Legume Information System (LIS: http://www.comparative-legumes.org). LIS is a comparative legume resource integrating genetic and molecular data from multiple species enabling cross-species comparisons. The LIS virtual plant interface allows simplified and intuitive navigation of transcript data from Medicago truncatula, Lotus japonicus, Glycine max and Arabidopsis thaliana. Transcript libraries are categorized and can be accessed via images of plant organs in different developmental stages. The clickable images allow queries of the underlying analyzed and annotated data. Complex queries can be accomplished by adding modifiers, keywords and sequence names. LIS also contains annotated genomic data featuring transcript alignments to validate gene predictions as well as sequence motif-based and similarity-based annotation. The genomic browser supports comparative analysis via novel dynamic functional annotation comparisons. CMap, developed as part of the GMOD project (http://www.gmod.org/cmap/index.shtml), has been incorporated to support comparative analyses of community linkage and physical map data. LIS is being expanded to incorporate gene expression data and biochemical pathway information, which will be seamlessly integrated forming a knowledge discovery framework for legume research.