Evidence map›Paper›PMID 41997985›Full record

ArticleScientific reports2026

Network ontology transcript annotation identifies genetic signals underlying sex determination.

Leonardo R Orozco, Audrey E Weaver, Daniel J Klee, Christopher S Pauli, Christopher J Grassa, Daniela Vergara, Anthony Baptista, Kristin White, Benjamin F Emery, Natalie R M Castro and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Leonardo R OrozcoUniversity of Colorado Boulder, Ecology and Evolutionary Biology, Boulder, CO, 80304, USA. leonardo.orozco@colorado.edu.
Audrey E Weaver *University of Colorado Boulder, Ecology and Evolutionary Biology, Boulder, CO, 80304, USA.
Daniel J Klee *University of Colorado Boulder, Ecology and Evolutionary Biology, Boulder, CO, 80304, USA.
Christopher S Pauli *University of Colorado Boulder, Ecology and Evolutionary Biology, Boulder, CO, 80304, USA.
Christopher J Grassa *Department of Organismal and Evolutionary Biology, Harvard University, Cambridge, MA, 02138-02142, USA.
Daniela Vergara *University of Colorado Boulder, Ecology and Evolutionary Biology, Boulder, CO, 80304, USA.
Anthony Baptista *SciAnno Mosaics LLC, Boulder, CO, USA.
Kristin White *University of Colorado Boulder, Ecology and Evolutionary Biology, Boulder, CO, 80304, USA.
Benjamin F EmeryUniversity of Colorado Boulder, Information Science, Boulder, CO, 80304, USA.
Natalie R M CastroSciAnno Mosaics LLC, Boulder, CO, USA.
Shiva GarudaUniversity of Colorado Boulder, Ecology and Evolutionary Biology, Boulder, CO, 80304, USA.
Rafael F GuerreroDepartment of Biological Sciences, North Carolina State University, 112 Derieux Pl, Raleigh, NC, 27695, USA.
Brian C KeeganUniversity of Colorado Boulder, Information Science, Boulder, CO, 80304, USA.
Nolan C Kane *University of Colorado Boulder, Ecology and Evolutionary Biology, Boulder, CO, 80304, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cannabis sativa L. (marijuana, hemp, cannabis) is an angiosperm species currently evolving sex chromosomes. Genetic mechanisms, primarily an XY chromosome system, dictate cannabis sex expression in dioecious populations. However, sexual expression is also governed by the interplay of hormone regulatory gene networks, influenced by both genetic and environmental factors. Within the species, some populations exhibit dioecy, monoecy, or a gradient of both. Dioecious individuals produce exclusively male or female flowers, while monoecious plants bear both male and female flowers. Remarkably, through interruption of phytohormone signal transduction via abiotic stressors, genetically male or female cannabis are able to produce flowers of the opposite sex. Previous transcriptomic analysis have identified genes associated with masculinization through the application of phytohormone signal disruption using silver thiosulfate treatment. We analyzed transcriptomic data from cannabis treated with colloidal silver to similarly induce masculinization. Using Nota (Network ontology transcript annotation), a multilayer network analysis (Random-Walk-with-Restart) tool, we identified candidate genes involved in sex-determination. Nota and a companion program Jack facilitate multi-layer network analyses, enabling discovery and annotation of gene-trait associations. Our findings highlight Nota’s robust application to enrich the genetic architecture of complex traits, particularly in non-model systems like cannabis, and complex traits such as sex determination. Our analyses identified genes associated with cell wall morphogenesis and embryogenic tissue homeostasis, indicating that silver ion treatment perturbs phytohormone signal transduction through metal ion imbalance. In this reproductive strategy, cannabis is able to make use of its widely investigated sex-determining genetic architecture to navigate transient changes in co-expression and cross-cellular signaling driving embryogenic cell wall re-patterning.

Indexed as

Gene Regulatory NetworksSex Determination ProcessesFlowersGene Expression ProfilingGene Expression Regulation, PlantGene OntologyMolecular Sequence AnnotationSignal TransductionTranscriptomeGene ontologyMachine learningNetwork topology

Identifiers

PMID41997985
PMCPMC13246749

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.