Evaluation of seed storage protein patterns of ten wheat varieties using SDS-PAGE

SDS-PAGE was used to evaluate and characterize the patterns of seed storage proteins in ten bread wheat (Triticum aestivum L.) genotypes. Electrophorogram for each variety were scored for presence/absence in each sample, which were transformed into a binary data matrix. Jaccard΄s similarity coefficient, generated to determine the genetic similarity among genotypes, revealed that most of the genotypes were genetically distant from each other. The cluster analysis with UPGMA method separated the genotypes into 2 clusters. Based on Jaccard's similarity matrix, we represented a protein marker and it is clear that genotype 14GB & Hama-4, 14GB & un11 and Hama-4 & un11 have the highest similarity and lowest genetic distance. Genotypes Boomaz and Saji have the least similarity and maximum distance.