Legume Information System (LIS)

Legume Information System (LIS) integrates genomic, genetic, molecular, and transcriptomic data across leguminous species to support comparative genomics and crop-improvement research.

Key Features:

• Comparative Genomic Resource: Integrates genetic, molecular, genomic, and transcript data from legume species including Medicago truncatula, Lotus japonicus, Glycine max (soybean), and Arabidopsis thaliana to enable cross-species comparisons.
• Complex Query Capabilities: Supports complex queries using modifiers, keywords, and sequence names to refine data retrieval.
• Annotated Genomic Data: Provides detailed annotations including transcript alignments for validating gene predictions and supports motif and similarity analyses.
• Comparative Analysis Tools: Enables dynamic functional annotation comparisons and incorporates CMap (GMOD) for handling community linkage and physical map data.
• Gene Expression and Biochemical Pathway Integration: Expands to include gene expression profiles and biochemical pathway data for integrated functional analyses.
• Map and Sequence Comparison: Facilitates comparison of genetic maps, physical maps, and annotated sequences to identify syntenic regions and candidate genes.

Scientific Applications:

• Candidate gene identification for crop improvement: Uses comparative genomics across model and crop species to prioritize genes associated with agronomic traits.
• Disease resistance discovery: Supports identification of genes linked to disease resistance, including targets for sudden death syndrome in soybean.
• Stress tolerance analysis: Enables discovery of genes and loci associated with stress tolerance traits such as drought response.
• Nutritional and secondary metabolite research: Assists in studying genetic bases for production of antioxidants and anti-cancer compounds.
• Map-based cloning and primer design: Leverages map and sequence comparisons to locate syntenic regions, design primers, and clone potential alleles associated with traits.

Methodology:

Integrates genomic, transcriptomic, and phenotypic data across legume species; performs transcript alignments to validate gene predictions; conducts motif and similarity analyses; supports complex query-driven comparative analyses and incorporates CMap for linkage and physical map analyses.