Evidence map›Paper›PMID 34484691›Full record

ArticleF1000Research2021

Whole genome sequencing of colonies derived from cannabis flowers and the impact of media selection on benchmarking total yeast and mold detection tools.

Kevin McKernan, Yvonne Helbert, Liam Kane, Nathan Houde, Lei Zhang, Stephen McLaughlin

Open access · goldAbstract read
In one paragraph

Article in F1000Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 23% of its field
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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. ExploringJournal of fungi (Basel, Switzerland) · 2025
    Review
  2. Challenges toInternational journal of molecular sciences · 2023
    Article
  3. Article
  4. Article
  5. Review
  6. Cystathionine Gamma-Lyase Regulate Psilocybin Biosynthesis inJournal of fungi (Basel, Switzerland) · 2022
    Article
  7. Genetic Survey of Psilocybe Natural Products.Chembiochem : a European journal of chemical biology · 2022
    Article
  8. Investigation of microorganisms in cannabis after heating in a commercial vaporizer.Frontiers in cellular and infection microbiology · 2022
    Article
  9. Article
  10. Exploiting BeneficialFrontiers in microbiology · 2021
    Review
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

6 authors.

Kevin McKernanResearch and Development, Medicinal Genomics, Beverly, Mass, 01915, USA.ORCID 0000-0002-3908-1122
Yvonne HelbertResearch and Development, Medicinal Genomics, Beverly, Mass, 01915, USA.
Liam KaneResearch and Development, Medicinal Genomics, Beverly, Mass, 01915, USA.ORCID 0000-0001-7075-0104
Nathan HoudeResearch and Development, Medicinal Genomics, Beverly, Mass, 01915, USA.
Lei ZhangResearch and Development, Medicinal Genomics, Beverly, Mass, 01915, USA.
Stephen McLaughlinResearch and Development, Medicinal Genomics, Beverly, Mass, 01915, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCannabis products are subjected to microbial testing for human pathogenic fungi and bacteria. These testing requirements often rely on non-specific colony forming unit (CFU/g) specifications without clarity on which medium, selection or growth times are required. We performed whole genome sequencing to assess the specificity of colony forming units (CFU) derived from three different plating media: Potato Dextrose Agar (PDA), PDA with chloramphenicol and Dichloran Rose Bengal with chloramphenicol (DRBC).

methodsColonies were isolated from each medium type and their whole genomes sequenced to identify the diversity of microbes present on each medium selection. Fungal Internal Transcribed Spacer (ITS3) and Bacterial 16S RNA(16S) quantitative polymerase chain reactions (qPCR) were performed, to correlate these CFUs with fungi- and bacterial- specific qPCR.

resultsEach plating medium displayed a ten-fold difference in CFU counts. PDA with chloramphenicol showed the highest diversity and the highest concordance with whole genome sequencing. According to ITS3 and 16S qPCR confirmed with whole genome sequencing, DRBC under counted yeast and mold while PDA without chloramphenicol over counted CFUs due to bacterial growth without selection.

conclusionsColony Forming Unit regulations lack specificity. Each medium produces significant differences in CFU counts. These are further dependent on subjective interpretation, failure to culture most microbes, and poor selection between bacteria and fungi. Given the most human pathogenic microbes found on cannabis are endophytes which culture fails to detect, molecular methods offer a solution to this long-standing quantification problem in the cannabis testing field.

Indexed as

CannabisBenchmarkingColony Count, MicrobialFlowersFood MicrobiologyFungiHumansSaccharomyces cerevisiaeWhole Genome SequencingCannabisMicrobiomeqPCRTotal Yeast and MoldWhole Genome Sequencing

Identifiers

PMID34484691
PMCPMC8383127
OpenAlexW3183482591

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.