Abstract

Opium poppy (Papaver somniferum L.) is a versatile plant exploited by the pharmaceutical and food industries. Unfortunately, it is also infamously known as a source of highly addictive narcotics, primarily heroin. Drug abuse has devastating consequences for users and also has many direct or indirect negative impacts on human society as a whole. Therefore, developing a molecular genetic tool for the individualization of opium poppy, raw opium or heroin samples could help in the fight against the drug trade by retrieving more information about the source of narcotics and linking isolated criminal cases. Bioinformatic analysis provided insight into the distribution, density and other characteristics of roughly 150 thousand microsatellite loci within the poppy genome and indicated underrepresentation of microsatellites with the desired attributes. Despite this fact, 27 polymorphic STR markers, divided into three multiplexed assays, were developed in this work. Internal validation confirmed species-specific amplification, showed that the optimal amount of DNA is within the range of 0.625–1.25 ng per reaction, and indicate relatively well balanced assays according to the metrics used. Moreover, the stutter ratio (mean + 3 SD 2.28–15.59%) and allele-specific stutters were described. The analysis of 187 individual samples led to the identification of 158 alleles in total, with a mean of 5.85 alleles and a range of 3–14 alleles per locus. Most of the alleles (151) were sequenced by the Sanger method, which enabled us to propose standardized nomenclature and create three allelic ladders. The OpiumPlex system discriminates most of the varieties from each other and pharmaceutical varieties from the others (culinary, dual and ornamental).

Details

Title
OpiumPlex is a novel microsatellite system for profiling opium poppy (Papaver somniferum L.)
Author
Vašek Jakub 1 ; Čílová Daniela 1 ; Melounová Martina 1 ; Svoboda Pavel 2 ; Zdeňková Kamila 3 ; Čermáková Eliška 3 ; Ovesná Jaroslava 2 

 Czech University of Life Sciences Prague, Department of Genetics and Breeding, FAFNR, Prague, Czech Republic (GRID:grid.15866.3c) (ISNI:0000 0001 2238 631X) 
 Crop Research Institute, Division of Crop Genetics and Breeding, Prague, Czech Republic (GRID:grid.417626.0) (ISNI:0000 0001 2187 627X) 
 University of Chemistry and Technology Prague, Department of Biochemistry and Microbiology, Prague, Czech Republic (GRID:grid.448072.d) (ISNI:0000 0004 0635 6059) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2542134125
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.