Conventional methods of plant breeding for resistance to biotic stress including resistance to plant diseases are faced with constraints such as lake of resistance resources, weak understanding of the inheritance of resistance traits and the need for a long breeding cycle for the transfer of resistance genes to commercial cultivars. In this context, genetic tools in the form of molecular marker techniques and plant genetic engineering are a hopeful alternative to expedite the process of identifying, detecting and integrating the genes responsible for resistance to plant diseases. To attainment this way, understanding the plant defense mechanisms at the molecular (DNA) level is a prerequisite. The first step in understanding the plant defense mechanism is the identification and isolation of plant resistance genes. In recent years, several disease resistance genes have been successfully cloned and identified in several plant species. In this study, we used degenerate primers designed from conserved regions of these genes and PCR technique to detect the resistance genes analogs (RGAs) in Grapevine genotypes. Nineteen RGAs were identified from Iranian grapevine genotypes using two degenerate primer pairs, OLE and BP2, designed from conserved domains of known -LRR resistance genes in other plants. After the BLAST of nucleotide sequences in the gene bank sequences, the similarity of about 90% with other known RGAs to be RGA of these fragments was confirmed. Phylogenetic tree to the sequences showed that the geographical distance has influence on the diversity of RGAs. Comparison of the protein sequences of RGAs recognized in the present study with the protein sequence of several known RGAs in other plants (Flax, Arabidopsis and Tobacco) using ClustalW showed that all identified RGAs have two conserved domains, PLOP / Kinase and GLPLA. It can be concluded that, the identified RGAs in this study belong to the -LRR group of RGAs and the TIR--LRR sub-group. In addition, genetic diversity of 76 Iranian grapevine genotypes were assessed using SCoT and SRAP markers. Thirteen SCoT primers and thirteen SRAP primer combinations were amplified in total 190 and 169 bands, respectively. Among them, 109 SCoT and 81 SRAP bands were polymorphic. Also, the PIC values (0.3525 for SCoT and 0.3696 for SRAP) showed the average ability of these markers to recognize the polymorphism in the studied genotypes. Cluster analysis based on data obtained from two markers placed different genotypes in different groups. The relationships among genotypes were also defined by the first three principle coordinate analysis (PCoA) with together accounted for 67.66% and 69.66% for SCoT and SRAP, respectively and showed that the original data are correlated in PCoA, confirmed the results of cluster analysis. In conclusion, SCoT and SRAP markers were demonstrated to be a powerful tools for assessing genetic relationships among Iranian grapevine genotypes. Keywords: Grapevine, RGA, Resistance Genes, SCoT Marker, SRAP Marker.