Marker-assisted selection (MAS) is a selective method that is not affected by environmental factors. The success of MAS-based breeding programs depends on the selection and validation of the markers used. In addition to the MAS technique, the evaluation of biochemical behaviors, functional evaluation, and gene expression of the lines under stress conditions will be effective for better identifying salinity-tolerant lines. In this regard, to identify mutant lines (M9) rice of saline tolerant, valuation of some effective biochemical traits (seedling phase) as a split factorial experiment based on a randomized complete blocks design with three replications in the greenhouse of Genetics and Agricultural Biotechnology Institute of Tabarestan (GABIT), Sari Agricultural Sciences and Natural Resources University (SANRU), was done in 2019. The main factor included sampling time (3, 6, and 9 days after the stress), and sub-factors included salinity stress in three levels of NaCl (0, 4 dS/m, and 8 dS/m (Adding salt to the water and paddy soil and then saturated salt extraction)) and genotypes (14 mutants (M9), two susceptible controls of Sepidrood, IR29, and two controls tolerant of Dailamani, Nonabokra). The total grain weight per plant and STI index were evaluated as factorial experimental. To validate the gene (s) associated with salinity stress and evaluate allelic diversity of these markers across mutant lines rice, the leaf samples of 14 mutant lines (M9) rice and four sensitive and tolerant controls were collected. Then Band pattern of 18 SSR markers was studied. Also, after validation and identification of some genes affecting salinity stress, molecular evaluations were performed using cgSSR microsatellite to identify new salinity lines in mutant populations (60 lines). In order to evaluate the expression of 5 salinity tolerant genes, four genotypes of IR29 (sensitive control), Nonabokra (tolerant control), G7 and G8 (mutant lines) were used. Leaf samples at 8 dS / m level were harvested in four time courses of 0 (without stress), 3, 6, and 9 days after salinity stress. Analysis of variance showed that the main and the interaction effects were significant for all traits at 1% probability level. At the time of sampling (9 days after stress) and salinity of 8dS/m, the proline concentration in tolerant genotypes increased, and malondialdehyde content decreased. At nine days after stress and salinity 8 dS/m, cluster analysis divided the genotypes into five groups and four genotypes along with the tolerant G17 were in the fifth group. Four genotypes at salinity 8dS/m had a higher total grain weight per plant than Dailamani. 11 primers were selected based on band pattern analysis in susceptible/tolerant cultivars at the molecular analysis. The molecular analysis results showed that OsMAPK4, OsCML11 and OsCPK17 had the highest polymorphic information content (PIC). OsMAPK4 and OsCML11 had the highest marker index (MI) at a rate of 0.23. Cluster and biplot analysis of molecular data of mutant lines studied (14 lines) were divided respectively into 3 and 4 groups. Cluster analysis of molecular data using three candidated markers divided the 60 mutant lines (related to mutant populations) studied in this research into three groups. Expression pattern of OsCPK17 gene at the beginning of stress, IR29 sensitive control showed a significant increase in expression (73) and maintained this increase until the end of stress with less intensity. The expression pattern of OsRacB (T) at nine days after stress application showed an increase in expression (42) sensitive IR29 control and a significant decrease in expression in G8 mutant (-149). Also, the expression pattern of OsMAPK4 gene Nonabokra tolerant control at nine days after stress showed an increase in high expression (45) compared to the reference gene. In total, four SSR primers including OsPEX11-1, OsRacB (T), OsCPK17 and OsMAPK4 were proposed as informative markers for screening salt susceptible/tolerant lines. In the evaluation of 14 mutant lines (M9) studied, eight lines (G1 genotypes from Sang-Tarom mutant, G2 from Rashti mutant, G4 and G8 from Tarom Hashemi mutant and G9 from Chalousi mutant, G12 and G13 from mutant Nemat and G14 from mutant khazar) and in the evaluation of mutant populations M9 (60 lines), 13 lines (code lines 1, 2, 3, 4 from Sang -Tarom mutant, code lines 11, 13, 14, 16, 17, 18 from Tarom Hashemi mutant and codes line (38, 39 and 40 of the Khazar mutant) were identified as new lines tolerant to salinity stress that can be suggested that these lines be used as promising saline-tolerant lines in farms facing salinity stress (soil and water) to increase productivity and increase yield.