Literature DB >> 28549545

Developmental and internal validation of a novel 13 loci STR multiplex method for Cannabis sativa DNA profiling.

Rachel Houston1, Matthew Birck2, Sheree Hughes-Stamm1, David Gangitano3.   

Abstract

Marijuana (Cannabis sativa L.) is a plant cultivated and trafficked worldwide as a source of fiber (hemp), medicine, and intoxicant. The development of a validated method using molecular techniques such as short tandem repeats (STRs) could serve as an intelligence tool to link multiple cases by means of genetic individualization or association of cannabis samples. For this purpose, a 13 loci STR multiplex method was developed, optimized, and validated according to relevant ISFG and SWGDAM guidelines. The STR multiplex consists of 13 previously described C. sativa STR loci: ANUCS501, 9269, 4910, 5159, ANUCS305, 9043, B05, 1528, 3735, CS1, D02, C11, and H06. A sequenced allelic ladder consisting of 56 alleles was designed to accurately genotype 101 C. sativa samples from three seizures provided by a U.S. Customs and Border Protection crime lab. Using an optimal range of DNA (0.5-1.0ng), validation studies revealed well-balanced electropherograms (inter-locus balance range: 0.500-1.296), relatively balanced heterozygous peaks (mean peak height ratio of 0.83 across all loci) with minimal artifacts and stutter ratio (mean stutter of 0.021 across all loci). This multi-locus system is relatively sensitive (0.13ng of template DNA) with a combined power of discrimination of 1 in 55 million. The 13 STR panel was found to be species specific for C. sativa; however, non-specific peaks were produced with Humulus lupulus. The results of this research demonstrate the robustness and applicability of this 13 loci STR system for forensic DNA profiling of marijuana samples.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cannabis sativa; DNA typing; Forensic plant science; Reference population; Short tandem repeats

Mesh:

Year:  2017        PMID: 28549545     DOI: 10.1016/j.legalmed.2017.03.001

Source DB:  PubMed          Journal:  Leg Med (Tokyo)        ISSN: 1344-6223            Impact factor:   1.376


  7 in total

1.  Characterization of new chloroplast markers to determine biogeographical origin and crop type of Cannabis sativa.

Authors:  Madeline G Roman; David Gangitano; Rachel Houston
Journal:  Int J Legal Med       Date:  2019-08-23       Impact factor: 2.686

Review 2.  Interpol review of controlled substances 2016-2019.

Authors:  Nicole S Jones; Jeffrey H Comparin
Journal:  Forensic Sci Int Synerg       Date:  2020-05-24

3.  Nuclear, chloroplast, and mitochondrial data of a US cannabis DNA database.

Authors:  Rachel Houston; Matthew Birck; Bobby LaRue; Sheree Hughes-Stamm; David Gangitano
Journal:  Int J Legal Med       Date:  2018-02-20       Impact factor: 2.686

4.  13-loci STR multiplex system for Brazilian seized samples of marijuana: individualization and origin differentiation.

Authors:  Mauro Sander Fett; Roberta Fogliatto Mariot; Eduardo Avila; Clarice Sampaio Alho; Valdir Marcos Stefenon; Flávio Anastácio de Oliveira Camargo
Journal:  Int J Legal Med       Date:  2018-10-15       Impact factor: 2.686

5.  Evaluation of two 13-loci STR multiplex system regarding identification and origin discrimination of Brazilian Cannabis sativa samples.

Authors:  Lucas de Oliveira Pereira Ribeiro; Eduardo Avila; Roberta Fogliatto Mariot; Mauro Sander Fett; Flávio Anastácio de Oliveira Camargo; Clarice Sampaio Alho
Journal:  Int J Legal Med       Date:  2020-06-25       Impact factor: 2.686

6.  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

7.  Development and Validation of a Novel and Fast Detection Method for Cannabis sativa: A 19-Plex Short Tandem Repeat Typing System.

Authors:  Ruocheng Xia; Ruiyang Tao; Yiling Qu; Xiaochun Zhang; Huan Yu; Chunyan Yuan; Suhua Zhang; Chengtao Li
Journal:  Front Plant Sci       Date:  2022-02-28       Impact factor: 5.753

  7 in total

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