Home About us Editorial board Current issue Ahead of print Archives Submit article Instructions Subscribe Login  Contact Search
Year : 2016  |  Volume : 7  |  Issue : 2  |  Page : 117-121

Development and detection efficiency of sequence characterized amplified region markers for authentication of medicinal plant Ruta graveolens and its adulterant Euphorbia dracunculoides

Department of Biotechnology, Faculty of Science, Jamia Hamdard, New Delhi, India

Correspondence Address:
Malik Zainul Abdin
Department of Biotechnology, Faculty of Science, Jamia Hamdard, New Delhi - 110 062
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/2394-6555.191172

Rights and Permissions

Background: With the increase in demand of herbal medicines, adulteration in these drugs is also gaining momentum and remains an indispensable problem in domestic and export markets. Correct identification is the first step toward assuring quality, safety, and efficacy of indigenous herbal medicines. Materials and Methods: In this study, sequence characterized amplified region (SCAR) markers were developed to discriminate Ruta graveolens from its adulterant Euphorbia dracunculoides. Random amplified polymorphic DNA (RAPD) was performed and subsequently converted into SCAR markers. Results: After performing RAPD, SCAR primers were designed from the selected unique RAPD amplicons of the genuine drug as well as its adulterant. These primers produced 670 bp and 750 bp SCAR markers with genomic DNA sample of R. graveolens and E. dracunculoides, respectively. Conclusion: Development of these markers will help in the quality control of herbal drugs and monitoring widespread adulteration of these drugs by pharmaceutical industries and government agencies.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded108    
    Comments [Add]    

Recommend this journal