Disease is one of the significant factors to damage for the crop productivity, including rice. Although there are many methods to avoid from several diseases such as chemical pesticides and biological treatments, it has been appreciated that the most economical and environmentally effective method of disease control is application of resistance genes. A survey (Dardick & Ronald, 2006) reported that plant kinome has a small number of non-RD kinase (nRDK) (4-29% of total kinase), all known or predicted pattern recognition receptors (PRRs) fall into the class. We here introduce a strategy to identify rice resistance genes that are probably encoding PRRs. We selected 130 nRDK genes by combinational analysis of QTL and bioinformatics, 61 of rice mutant lines of 130 candidates inoculated by Xanthomonas oryzae pv. oryzae (Xoo) and Magnaporthe grisea. (M. grisea), and disease progression was monitored. Lesion lengths of the activation mutant lines for nRDK-08 and nRDK-18 genes reduced more than 34% compared to wild type of rice (Dongjin) and other mutant lines. The nRDK-03 and nRDK-17 gene activation rice line had remarkably smaller lesion lengths by M. grisea infection. Our results suggest that a reverse genetic approach using bioinformatics and T-DNA tagging system successfully identified nRDK genes conferring a resistance against Xoo and M. grisea.