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Vol. 9, Issue 7 (2020)

ITS-2 marker for identification of medicinal plants in herbal industry: A supporting tool to differentiate adulterants

Author(s):
Raghavendra P, Pushpalatha G, Gururaj C and Babu UV
Abstract:
Traditional System of Medicine aiming towards treating several diseases and their preventive measures. Such out bursting of pandemics demand promising medication. In this direction, usage and standardization of extractions from medicinal plants would pave an assuring treatment and/or preventing diseases. Since medicinal plants are dynamic in treatment of various diseases especially in India, it becomes challenging task to supply the plants to fulfill the demand. The increasing demand and trade of medicinal plants provide the major source of income to suppliers. To reach the demand in the market, the suppliers depend on adulteration of the product, which misleads the customers. Thus, purposeful adulterations of intended ingredients is a major trouble in recognizing the genuine resources. Validation of therapeutic plants by using molecular techniques is a promising scientific advancement. Though several molecular markers like restriction fragment length polymorphism (RFLP), random amplified polymorphic DNA (RAPD), amplified fragment length polymorphism (AFLP), sequence characterized amplified region (SCAR), selective amplification of microsatellite polymorphic loci (SAMPL), simple sequence repeats (SSR), inter simple sequence repeat (ISSR), DNA barcoding and next generation sequencing techniques have been reported to validate the available herbal resources, very less is known about its applications in this field. The present review is an attempt to compile available information and highlight the promising genomic approaches like barcoding towards identifying adulterations among the available medicinal plants.
Pages: 26-29  |  262 Views  7 Downloads
How to cite this article:
Raghavendra P, Pushpalatha G, Gururaj C, Babu UV. ITS-2 marker for identification of medicinal plants in herbal industry: A supporting tool to differentiate adulterants. Pharma Innovation 2020;9(7):26-29.
The Pharma Innovation Journal