Genetic dissection of the biotic stress response using a genome-scale gene network for rice

• DOI: 10.1073/pnas.1110384108
• Publication Date: 2011-11-01T04:21:08Z
• Authors: Insuk Lee; Young-Su Seo; Dusica Coltrane; Sohyun Hwang; Taeyun Oh; Edward M. Marcotte; Pamela C. Ronald
• Keywords: Gene regulatory network; Biotic stress; Trait; Identification; Oryza

Rice is a staple food for one-half the world's population and model other monocotyledonous species. Thus, efficient approaches identifying key genes controlling simple or complex traits in rice have important biological, agricultural, economic consequences. Here, we report on construction of RiceNet, an experimentally tested genome-scale gene network Many different datasets, derived from five organisms including plants, animals, yeast, humans, were evaluated, 24 most useful integrated into statistical framework that allowed prediction functional linkages between pairs genes. Genes could be linked to by using guilt-by-association, predicting attributes basis neighbors. We applied RiceNet agronomic trait, biotic stress response. Using guilt-by-association followed focused protein-protein interaction assays, identified validated, planta, two positive regulators, LOC_Os01g70580 (now Regulator XA21; ROX1) LOC_Os02g21510 (ROX2), one negative regulator, LOC_Os06g12530 (ROX3). These proteins control resistance mediated XA21, pattern recognition receptor. also showed can accurately predict function another major crop species, maize. thus enables identification regulating traits, facilitating engineering pathways critical productivity.