Evidence map›Paper›PMID 33526091›Full record

ArticleJournal of cannabis research2019

Genetic tools weed out misconceptions of strain reliability in Cannabis sativa: implications for a budding industry.

Anna L Schwabe, Mitchell E McGlaughlin

Abstract read
In one paragraph

Article in Journal of cannabis research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Analysis of Marijuana (Plants (Basel, Switzerland) · 2026
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  13. Developing and Testing Molecular Markers inPlants (Basel, Switzerland) · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. The Past, Present and Future ofPlants (Basel, Switzerland) · 2021
    Review
  19. Article
  20. 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

2 authors.

Anna L Schwabe *School of Biological Sciences, University of Northern Colorado, Greeley, CO, USA. schw0701@bears.unco.edu.ORCID http://orcid.org/0000-0002-7853-6994
Mitchell E McGlaughlin *School of Biological Sciences, University of Northern Colorado, Greeley, CO, USA.

Funding

Gerald Schmidt Memorial Biology Scholarship NAUniversity of Northern Colorado Graduate Student Association NAUniversity of Northern Colorado School of Biological Sciences NA
6 · The paper itself

Abstract

backgroundUnlike other plants, Cannabis sativa is excluded from regulation by the United States Department of Agriculture (USDA). Distinctive Cannabis varieties are ostracized from registration and therefore nearly impossible to verify. As Cannabis has become legal for medical and recreational consumption in many states, consumers have been exposed to a wave of novel Cannabis products with many distinctive names. Despite more than 2000 named strains being available to consumers, questions about the consistency of commercially available strains have not been investigated through scientific methodologies. As Cannabis legalization and consumption increases, the need to provide consumers with consistent products becomes more pressing. In this research, we examined commercially available, drug-type Cannabis strains using genetic methods to determine if the commonly referenced distinctions are supported and if samples with the same strain name are consistent when obtained from different facilities.

methodsWe developed ten de-novo microsatellite markers using the "Purple Kush" genome to investigate potential genetic variation within 30 strains obtained from dispensaries in three states. Samples were examined to determine if there is any genetic distinction separating the commonly referenced Sativa, Indica and Hybrid types and if there is consistent genetic identity found within strain accessions obtained from different facilities.

resultsAlthough there was strong statistical support dividing the samples into two genetic groups, the groups did not correspond to commonly reported Sativa/Hybrid/Indica types. The analyses revealed genetic inconsistencies within strains, with most strains containing at least one genetic outlier. However, after the removal of obvious outliers, many strains showed considerable genetic stability.

conclusionsWe failed to find clear genetic support for commonly referenced Sativa, Indica and Hybrid types as described in online databases. Significant genetic differences within samples of the same strain were observed indicating that consumers could be provided inconsistent products. These differences have the potential to lead to phenotypic differences and unexpected effects, which could be surprising for the recreational user, but have more serious implications for patients relying on strains that alleviate specific medical symptoms.

Indexed as

CannabisCannabis sativaConsumerGenotypeHempMarijuanaMicrosatellitePhenotypeStrain

Identifiers

PMID33526091
PMCPMC7815053

What OpenQuestion holds

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Registered trials

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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.