Molecular Diagnostic Markers for Authentication and Early Sexing Of Coscinium Fenestratum Gaertn Colebr
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Abstract
The extensive consumption of medicinal plants from wild to meet the supply and
newlinedemand ratio exerts a heavy strain on the natural resources. This subsequently led to
newlineadulteration and substitution of the medicinal plants with look-alike species. The
newlineconsumer s faith on herbal medicine is in the phase of decline due to the extremities in
newlineadulteration/substitution and ensuing consequences. It is imperative to bring forth
newlineuniversally acceptable standard tools to authenticate ayurvedic raw drugs before being
newlineprocessed further into formulations. Herbal drugs, its substituents and adulterants have
newlinebeen studied at length using various techniques but a clear-cut approach to safeguard its
newlineutility is yet to be defined. Although there are several recommended methods for proper
newlineidentification varying from the traditional taxonomic to organoleptic and
newlinephysiochemical, it is extremely difficult to authenticate ayurvedic raw drugs available in
newlinedried, powdered or shredded form. DNA barcoding has made remarkable progress in the
newlinefield of medicinal plants research.
newlineIn this study, DNA barcoding has been used for authentication and illicit trade of
newlineCoscinium fenestratum (Gaertn.) Colebr. using Consortium for Barcode of Life
newline(CBOL) recommended standard barcode regions viz. maturase K (matK), ribulose-1, 5-
newlinebisphosphate carboxylase/oxygenase large subunit (rbcL), nuclear ribosomal Internal
newlineTranscribed Spacer (nrDNA- ITS) and psbA-trnH spacer regions. These four barcode
newlineregions were used for the Biological Reference Material (BRM) Library creation of
newlineDNA barcode database. rbcL region was used for the authentication of raw drug
newlinesamples available in market, due to its amplification efficiency and species
newlinediscrimination power as compared to other barcode regions. Further, an integrated
newlineanalytical approach involving Maximum Likelihood phylogenetic tree and Machine
newlineLearning Approach (MLA) - Waikato Environment for Knowledge Analysis (WEKA)
newlinewere employed to prove efficacy of these methods
newline