Evidence map›Paper›PMID 34173826›Full record

ArticleGenetics2021

Quantitative trait loci controlling agronomic and biochemical traits in Cannabis sativa.

Patrick Woods, Brian J Campbell, Timothy J Nicodemus, Edgar B Cahoon, Jack L Mullen, John K McKay

Abstract read
In one paragraph

Article in Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Genetic Advances inPlants (Basel, Switzerland) · 2026
    Review
  2. Article
  3. Nutrients and Bioactive Compounds fromInternational journal of molecular sciences · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Morphological Characterization ofPlants (Basel, Switzerland) · 2023
    Article
  13. Article
  14. Comparative genomics of flowering behavior inFrontiers in plant science · 2023
    Article
  15. Interpol Review of Drug Analysis 2019-2022.Forensic science international. Synergy · 2023
    Review
  16. 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.

Patrick WoodsGraduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USA.
Brian J CampbellDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO 80523, USA.
Timothy J NicodemusDepartment of Biochemistry, Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NB 68588, USA.
Edgar B CahoonDepartment of Biochemistry, Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NB 68588, USA.ORCID 0000-0002-7277-1176
Jack L MullenDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO 80523, USA.
John K McKayDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO 80523, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the genetic basis of complex traits is a fundamental goal of evolutionary genetics. Yet, the genetics controlling complex traits in many important species such as hemp (Cannabis sativa) remain poorly investigated. Because hemp's change in legal status with the 2014 and 2018 U.S. Federal Farm Bills, interest in the genetics controlling its numerous agriculturally important traits has steadily increased. To better understand the genetics of agriculturally important traits in hemp, we developed an F2 population by crossing two phenotypically distinct hemp cultivars (Carmagnola and USO31). Using whole-genome sequencing, we mapped quantitative trait loci (QTL) associated with variation in numerous agronomic and biochemical traits. A total of 69 loci associated with agronomic (34) and biochemical (35) trait variation were identified. We found that most QTL co-localized, suggesting that the phenotypic distinctions between Carmagnola and USO31 are largely controlled by a small number of loci. We identified TINY and olivetol synthase as candidate genes underlying co-localized QTL clusters for agronomic and biochemical traits, respectively. We functionally validated the olivetol synthase candidate by expressing the alleles in yeast. Gas chromatography-mass spectrometry assays of extracts from these yeast colonies suggest that the USO31 olivetol synthase is functionally less active and potentially explains why USO31 produces lower cannabinoids compared to Carmagnola. Overall, our results help modernize the genomic understanding of complex traits in hemp.

Indexed as

Quantitative Trait LociCannabisIntramolecular TransferasesPlant ProteinsQuantitative Trait, HeritableIntramolecular Transferasesolivetolic acid cyclase, Cannabis sativaPlant Proteinsgenetic architecturehempolivetol synthase

Identifiers

PMID34173826
PMCPMC9335937

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.