Literature DB >> 23406349

Species identification of Cannabis sativa using real-time quantitative PCR (qPCR).

Christopher E Johnson1, Amritha Premasuthan, Jessica Satkoski Trask, Sree Kanthaswamy.   

Abstract

Most narcotics-related cases in the United States involve Cannabis sativa. Material is typically identified based on the cystolithic hairs on the leaves and with chemical tests to identify of the presence of cannabinoids. Suspect seeds are germinated into a viable plant so that morphological and chemical tests can be conducted. Seed germination, however, causes undue analytical delays. DNA analyses that involve the chloroplast and nuclear genomes have been developed for identification of C. sativa materials, but they require several nanograms of template DNA. Using the trnL 3' exon-trnF intragenic spacer regions within the C. sativa chloroplast, we have developed a real-time quantitative PCR assay that is capable of identifying picogram amounts of chloroplast DNA for species determination of suspected C. sativa material. This assay provides forensic science laboratories with a quick and reliable method to identify an unknown sample as C. sativa.
© 2013 American Academy of Forensic Sciences.

Entities:  

Keywords:  Cannabis; TaqMan™ assay; cpDNA; forensic science; marijuana; qPCR; species determination

Mesh:

Substances:

Year:  2013        PMID: 23406349     DOI: 10.1111/1556-4029.12055

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  3 in total

1.  Real-Time PCR Quantification of Chloroplast DNA Supports DNA Barcoding of Plant Species.

Authors:  Hitomi S Kikkawa; Kouichiro Tsuge; Ritsuko Sugita
Journal:  Mol Biotechnol       Date:  2016-03       Impact factor: 2.695

2.  Application of a Forensic DNA Extraction System for Cannabis sativa Seed Identification.

Authors:  Jonathan Roth; Ilan Feine; Ortal Waiskopf; Ron Gafny; Merav Amiel
Journal:  J Biomol Tech       Date:  2021-12-15

3.  Development and validation of a real-time PCR assay to detect Cannabis sativa in food.

Authors:  Sandra Weck; Verena Peterseil; Helmut K Mayer; Rupert Hochegger
Journal:  Sci Rep       Date:  2021-02-26       Impact factor: 4.379

  3 in total

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