Identification and Classification of Aromatic and Non Aromatic Rice Cultivars Based on DNA fingerprinting Gupta Rajesh K.1,2, Gupta Madhu3, Choudhury Partha Ray1,4, Mandal Asit B.1,5,* 1ICAR-NRC on Plant Biotechnology, LBS Centre, Pusa, New Delhi-110012 2ICAR-Directorate of Seed Research, Mau, UP.-275101 3KV. No.1, Rewa, Madhay Pradesh-486001 4ICAR-Crop Science Division, ICAR, Krishi Bhavan, New Delhi-110001 5ICAR-CRIJAF, Barrackpore, West Bangal-700120 *email: amandal2@rediffmail.com
Online published on 15 December, 2016. Abstract Aromatic rice is preferred by the consumers all over the world due to its flavor and palatability. Although large number of these aromatic collections are available with the breeders systematic analysis to decipher genetic diversity needed to be carried out for proper characterization and subsequent utilization for crop improvement. SSR markers, being highly polymorphic, abundant and easy to use, have become the marker of choice for molecular analysis. With the objective of identification and classification of rice genotypes, SSR profiling was employed. In this contest, using 13 primers among employed 96.5% detected polymorphism. Of the 30 amplified alleles, 25 alleles were polymorphic with an average of 2.38 bands per primer. The size of the amplified product varied from 50 to 500 bp. The range of polymorphic information content (PIC) varied from 0.55 to 0.97 with an average of 0.75 per marker. Cluster analysis based on Jaccard's similarity coefficient using unweighted pair group methods (UPGMA) grouped all rice cultivars into two cluster having two sub clusters in each. Matrix similarity coefficient ranged from 0.25 to 0.91 withanaverage of 0.32. All the rice genotypes included in the study could be distinguished from each based upon the polymorphic bands generated by employing the primers. A diagrammatic mode of representation of DNA fingerprints with 13 informative primers was developed for ready reference. Top Keywords Aromatic, Rice, SSR, UPGMA, PIC. Top |