EVALUATION OF GENETIC DIVERSITY IN BLACK GRAM THROUGH SDS-PAGE

Present study investigated genetic diversity in thirty three (33) genotype of Vigna mungo (black gram) based on morphological traits and seeds storage protein profiles. The binary data matrix was subjected to statistical analysis using cluster method. Cluster based on Euclidean dissimilarity coefficient matrix on morphological data is given in based on seed morphology divided all the genotypes into two linkage groups at 50% genetic distance. Linkage A had 2 clusters (C-1 and C-2) while linkage B had only one cluster (C-3). Cluster 1 had 12 genotypes, cluster 2 had 10 genotypes and C3 had 11genotype with 36, 30.30 and 33.33% genetic diversity respectively. On the other hand dendrogram based on SDS –PAGE analysis was divided into linkages group (A and B) at 25% genetic distance. Linkage A consisted of two clusters viz; C1 and C2 while linkage B had clusters C3 and C4. Maximum genetic diversity (63%) was found in the genotype of Berari, Maskari, Nasarabad, Nehag, Chaper, Usheri, Shahibagh, Gogyal, Darora, and Jatgram. While minimum genetic diversity (37%) were found in the genotypes of Wari and Dir. SDS-PAGE analysis showed a total of five polymorphic bands in local Black gram genotypes. Based on two way clustering the genetic diversity potential of band 3 and band 4 was 86%. Band 1 and band 2 having 67% genetic diversity while Band 5 showing 100% genetic similarity. SDS-PAGE analysis showed significant variations in the minor bands and slight variations in the major protein bands. Results obtained from present study revealed that Vigna mungo genotypes grown in Pakistan came from a narrow gene pool. However these variations can be exploited to develop a variety with desirable traits. Moreover present results also revealed that electrophoretic banding profile of seed storage protein provide a powerful tool for the estimation of genetic variation existing among genotypes.