Soybean diseases continue to be a major limitation to sustainable soybean production in the US. It is estimated that the average annual yield losses due to soybean diseases in the United States are approximately 11%, which translates to more than $4 billion in revenue loss per year. In order to protect soybeans from damages from the destructive pathogens, it is important to identify new sources of disease (R) resistance genes and deploy desirable R genes into elite soybean cultivars. This project uses a technique called Ren-Seq (Resistance Gene Enriched Sequencing), which can specifically capture, enrich, and sequence resistance genes, primarily NBS-LRR genes, to accelerate disease resistance gene discovery. This approach, combined with genetic mapping and gene expression data, allows i) assembling all NBS-LRR genes without a need to sequence the entire genome; ii) finding molecular markers that allow fine mapping of disease resistance genes; iii) pinpointing candidate R genes; iv) designing R gene-based molecular markers for precise R gene selection in breeding – all at affordable costs. We proposed five specific objectives to achoive the overall goal defined in this project.