DNA Fingerprinting Based Identificaiton & Classification of Indica Rice (Oryza Sativa L.)

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Sardar Vallabh Bhai Patel University of Agriculture & Technology, Meerut

Abstract

Present study was undertaken to fingerprint the thirty varieties of Indica rice collected from distant geographical regions: Meerut (UP). Raipur (Jharkhand) and Sri Lanka using 10 primers each ofRAPD. SSR and ISSR molecular markers.The DNA was isolated using cTAB method,PCR was performed and gel pictures were taken using gel documentation. The diversity or similarities and dissimilarities between all thirty rice varieties were calculated using 0 1 sheets.The PIC values and Resolving power were calculated fur individual primers. In RAPD analysis PIC values varies from 0.8ll(OPD-08) to 0.9925(0PF-13) and resolving power varies from 1.32(0PJ-08) to 2.066(0PJ-13). In ISSR assay, PIC value ranged from 0.8791(ISSR6) to 0.9916(ISSR5). The resolving power varies between 1.6(ISSR3) and 8.366(ISSR2) and in SSR assay, the primer RM-263 was observed to highly polymorphic (PIC value of0.995) and RM-235 showed minimum polymorphism (PIC value of0.912). The resolving power varies between 0.132(RM-256) to 4.662(RM-222). The cluster analysis was made using NTSYS Software. All the 30 rice varieties were grouped into different clusters following each RAPD, SSR and ISSR molecular marker assays. Minor variation was observed in distribution of varieties in sub-clusters in all cases. In general, distribution of varieties remained independent of their geographical origin. Sathi, Taraori and MAUB 57 genotypes expressed comparatively more diversity from all other genotypes. It was also noticed that MAUB 13 expressed closeness with MAUB 164, Vallabh 22 and MAUB 15 varieties in most of the assays The analysis indicated that ISSR expressed maximum resolving power and RAPD gave maximum PIC values and SSR molecular markers detected higher polymorphism. Thus the three molecular marker systems together provided wider genome coverage and were found to be better indicator of the genetic relationships.

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