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Highly Predictive Genetic Markers Distinguish Drug-Type from Fiber-Type Cannabis sativa L
Genetic markers can be used in seeds and in plants to distinguish drug-type from fiber-type Cannabis Sativa L. varieties even at early stages, including pre-germination when cannabinoids are not accumulated yet. With this aim, this paper reports sequencing results for tetrahydrocannabinolic acid syn...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918397/ https://www.ncbi.nlm.nih.gov/pubmed/31718081 http://dx.doi.org/10.3390/plants8110496 |
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author | Cascini, Fidelia Farcomeni, Alessio Migliorini, Daniele Baldassarri, Laura Boschi, Ilaria Martello, Simona Amaducci, Stefano Lucini, Luigi Bernardi, Jamila |
author_facet | Cascini, Fidelia Farcomeni, Alessio Migliorini, Daniele Baldassarri, Laura Boschi, Ilaria Martello, Simona Amaducci, Stefano Lucini, Luigi Bernardi, Jamila |
author_sort | Cascini, Fidelia |
collection | PubMed |
description | Genetic markers can be used in seeds and in plants to distinguish drug-type from fiber-type Cannabis Sativa L. varieties even at early stages, including pre-germination when cannabinoids are not accumulated yet. With this aim, this paper reports sequencing results for tetrahydrocannabinolic acid synthase (THCAS) and cannabidiolic acid synthase (CBDAS) genes from 21 C. sativa L. varieties. Taking into account that THCAS- and CBDAS-derived enzymes compete for the same substrate, the novelty of this work relies in the identification of markers based on both THCAS and CBDAS rather than THCAS alone. Notably, in our panel, we achieved an adequate degree of discrimination (AUC 100%) between drug-type and fiber-type cannabis samples. Our sequencing approach allowed identifying multiple genetic markers (single-nucleotide polymorphisms—SNPs—and a deletion/insertion) that effectively discriminate between the two subgroups of cannabis, namely fiber type vs. drug type. We identified four functional SNPs that are likely to induce decreased THCAS activity in the fiber-type cannabis plants. We also report the finding on a deletion in the CBDAS gene sequence that produces a truncated protein, possibly resulting in loss of function of the enzyme in the drug-type varieties. Chemical analyses for the actual concentration of cannabinoids confirmed the identification of drug-type rather than fiber-type genotypes. Genetic markers permit an early identification process for forensic applications while simplifying the procedures related to detection of therapeutic or industrial hemp. |
format | Online Article Text |
id | pubmed-6918397 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69183972019-12-24 Highly Predictive Genetic Markers Distinguish Drug-Type from Fiber-Type Cannabis sativa L Cascini, Fidelia Farcomeni, Alessio Migliorini, Daniele Baldassarri, Laura Boschi, Ilaria Martello, Simona Amaducci, Stefano Lucini, Luigi Bernardi, Jamila Plants (Basel) Article Genetic markers can be used in seeds and in plants to distinguish drug-type from fiber-type Cannabis Sativa L. varieties even at early stages, including pre-germination when cannabinoids are not accumulated yet. With this aim, this paper reports sequencing results for tetrahydrocannabinolic acid synthase (THCAS) and cannabidiolic acid synthase (CBDAS) genes from 21 C. sativa L. varieties. Taking into account that THCAS- and CBDAS-derived enzymes compete for the same substrate, the novelty of this work relies in the identification of markers based on both THCAS and CBDAS rather than THCAS alone. Notably, in our panel, we achieved an adequate degree of discrimination (AUC 100%) between drug-type and fiber-type cannabis samples. Our sequencing approach allowed identifying multiple genetic markers (single-nucleotide polymorphisms—SNPs—and a deletion/insertion) that effectively discriminate between the two subgroups of cannabis, namely fiber type vs. drug type. We identified four functional SNPs that are likely to induce decreased THCAS activity in the fiber-type cannabis plants. We also report the finding on a deletion in the CBDAS gene sequence that produces a truncated protein, possibly resulting in loss of function of the enzyme in the drug-type varieties. Chemical analyses for the actual concentration of cannabinoids confirmed the identification of drug-type rather than fiber-type genotypes. Genetic markers permit an early identification process for forensic applications while simplifying the procedures related to detection of therapeutic or industrial hemp. MDPI 2019-11-12 /pmc/articles/PMC6918397/ /pubmed/31718081 http://dx.doi.org/10.3390/plants8110496 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cascini, Fidelia Farcomeni, Alessio Migliorini, Daniele Baldassarri, Laura Boschi, Ilaria Martello, Simona Amaducci, Stefano Lucini, Luigi Bernardi, Jamila Highly Predictive Genetic Markers Distinguish Drug-Type from Fiber-Type Cannabis sativa L |
title | Highly Predictive Genetic Markers Distinguish Drug-Type from Fiber-Type Cannabis sativa L |
title_full | Highly Predictive Genetic Markers Distinguish Drug-Type from Fiber-Type Cannabis sativa L |
title_fullStr | Highly Predictive Genetic Markers Distinguish Drug-Type from Fiber-Type Cannabis sativa L |
title_full_unstemmed | Highly Predictive Genetic Markers Distinguish Drug-Type from Fiber-Type Cannabis sativa L |
title_short | Highly Predictive Genetic Markers Distinguish Drug-Type from Fiber-Type Cannabis sativa L |
title_sort | highly predictive genetic markers distinguish drug-type from fiber-type cannabis sativa l |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918397/ https://www.ncbi.nlm.nih.gov/pubmed/31718081 http://dx.doi.org/10.3390/plants8110496 |
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