Open AccessPOPULATION STRUCTURE OF KAEMPFERIA GALANGA L. FROM EASTERN INDIA
Author(s) -
R. K. Parida,
Sujata Mohanty,
Sanghamitra Nayak
Publication year - 2019
Publication title -
international journal of pharmacy and pharmaceutical sciences/international journal of pharmacy and pharmaceutical sciences
Language(s) - English
Resource type - Journals
eISSN - 2656-0097
pISSN - 0975-1491
DOI - 10.22159/ijpps.2019v11i3.31226
Subject(s) - upgma , jaccard index , germplasm , dendrogram , population , hierarchical clustering , biology , microbiology and biotechnology , traditional medicine , computational biology , mathematics , genetic diversity , genotype , genetics , botany , cluster analysis , statistics , gene , medicine , environmental health
Objective: India has been a producer of a large number of aromatic medicinal plants which serves as a valuable genetic resource for future quality improvement to meet the ever-growing demand of human essential products. Thus, an urgent need arises for germplasm conservation of these high yielding varieties to help the pharmaceutical and other industries. For this understanding, the population structure is essential in order to explore their genetic identification by fingerprinting and molecular characterization.
Methods: In the present study DNA was isolated using modified Cetyl Trimethyl Ammonium Bromide (CTAB) method and Polymerase Chain Reaction (PCR) was performed according to standardized method along with its data analysis. This study was undertaken to characterize the highly medicinal Kaempferia galanga collected from 4 different populations of Odisha using the molecular markers as Random Amplified Polymorphic DNA and Inter-Simple Sequence Repeats for the first time.
Results: A dendrogram constructed through Sequential Agglomerative Hierarchical and Nested (SAHN) clustering and Unweighted Pair Group Method with Arithmetic mean (UPGMA) analysis showed an average similarity of 0.993 ranging between 0.967 to 1.000. Jaccard’s similarity coefficient of combined markers segregated the genotypes into two main clusters, 1 with six samples and the others at 0.98 similarity coefficient.
Conclusion: Hence, the molecular analysis could be further used for the identification of important novel gene present in Kaempferia galanga which can be utilized for future crop improvement as well as pharmacological activities.