Evidence map›Paper›PMID 33103246›Full record

ArticleAmerican journal of botany2020

Validating a predictive model of cannabinoid inheritance with feral, clinical, and industrial Cannabis sativa.

Jonathan P Wenger, Clemon J Dabney, Mahmoud A ElSohly, Suman Chandra, Mohamed M Radwan, Chandrani G Majumdar, George D Weiblen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of botany, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Interpol Review of Drug Analysis 2019-2022.Forensic science international. Synergy · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jonathan P WengerDepartment of Plant & Microbial Biology, University of Minnesota, Saint Paul, MN, 55108, USA.
Clemon J DabneyDepartment of Plant & Microbial Biology, University of Minnesota, Saint Paul, MN, 55108, USA.
Mahmoud A ElSohlyDepartment of Pharmaceutics and Drug Delivery, School of Pharmacy, University of Mississippi, University, MS, 38677, USA.
Suman ChandraNational Center for Natural Products Research, Research Institute of Pharmaceutical Sciences, School of Pharmacy, University of Mississippi, University, MS, 38677, USA.
Mohamed M RadwanNational Center for Natural Products Research, Research Institute of Pharmaceutical Sciences, School of Pharmacy, University of Mississippi, University, MS, 38677, USA.
Chandrani G MajumdarNational Center for Natural Products Research, Research Institute of Pharmaceutical Sciences, School of Pharmacy, University of Mississippi, University, MS, 38677, USA.
George D WeiblenDepartment of Plant & Microbial Biology, University of Minnesota, Saint Paul, MN, 55108, USA.ORCID 0000-0002-8720-4887

Funding

NIDA NIH HHS N01DA-15-7793
6 · The paper itself

Abstract

premiseHow genetic variation within a species affects phytochemical composition is a fundamental question in botany. The ratio of two specialized metabolites in Cannabis sativa, tetrahydrocannabinol (THC) and cannabidiol (CBD), can be grouped into three main classes (THC-type, CBD-type, and intermediate type). We tested a genetic model associating these three groups with functional and nonfunctional alleles of the cannabidiolic acid synthase gene (CBDAS).

methodsWe characterized cannabinoid content and assayed CBDAS genotypes of >300 feral C. sativa plants in Minnesota, United States. We performed a test cross to assess CBDAS inheritance. Twenty clinical cultivars obtained blindly from the National Institute on Drug Abuse and 12 Canadian-certified grain cultivars were also examined.

resultsFrequencies of CBD-type, intermediate-type, and THC-type feral plants were 0.88, 0.11, and 0.01, respectively. Although total cannabinoid content varied substantially, the three groupings were perfectly correlated with CBDAS genotypes. Genotype frequencies observed in the test cross were consistent with codominant Mendelian inheritance of the THC:CBD ratio. Despite significant mean differences in total cannabinoid content, CBDAS genotypes blindly predicted the THC:CBD ratio among clinical cultivars, and the same was true for industrial grain cultivars when plants exhibited >0.5% total cannabinoid content.

conclusionsOur results extend the generality of the inheritance model for THC:CBD to diverse C. sativa accessions and demonstrate that CBDAS genotyping can predict the ratio in a variety of practical applications. Cannabinoid profiles and associated CBDAS segregation patterns suggest that feral C. sativa populations are potentially valuable experimental systems and sources of germplasm.

Indexed as

CannabinoidsCannabisCanadaDronabinolMinnesotaCannabinoidsDronabinolCannabaceaeCBDA synthasechemotypegenetic markershempmarijuana

Identifiers

PMID33103246
PMCPMC7702092

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.