Evidence of the Ability of Microsatellite Method to Distinguish Cannabis Strains with High Cannabinoid Content

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F24%3A00616470" target="_blank" >RIV/67985939:_____/24:00616470 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11310/24:10494695
Result on the web
<a href="https://doi.org/10.1089/can.2022.0272" target="_blank" >https://doi.org/10.1089/can.2022.0272</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1089/can.2022.0272" target="_blank" >10.1089/can.2022.0272</a>

Result language
angličtina
Original language name
Evidence of the Ability of Microsatellite Method to Distinguish Cannabis Strains with High Cannabinoid Content
Original language description
Cannabis is a plant with high potential for use in several sectors of the industry, however, it is also a controversial crop due to its tetrahydrocannabinol (THC) content. Moreover, the plant has a rather unclarified classification. Traditionally, two types of Cannabis have been distinguished, hemp as a source of fiber and low THC content, and marijuana with high THC levels, which is used as a drug. With the increasing use of CBD strains and wide range of commercially used THC strains, it is becoming paramount to be able to develop an easy and reliable method for Cannabis strain differentiation. The use of simple sequence repeat markers, or microsatellites, seems to be an applicable choice. Fragment analysis and cluster analysis showed that when one to three individual plants per strain were analyzed, the method was able to classify these samples into distinguishable groups with similar gene structure. They also revealed that when a larger sample set was used (10 individual plants per strain), highly specific strain clusters could be fully discriminated. Our study involved the highest number of cannabinoid-rich strains up to now and showed that the microsatellite method can be used to reliably differentiate Cannabis strains and show their relationships.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10611 - Plant sciences, botany

Project
<a href="/en/project/FV40103" target="_blank" >FV40103: Biotechnology of hemp cultivation for CBD products</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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