Research:2026-04-17/Journal article/network-ontology-transcript-annotation-identifies-genetic-signals-underlying-sex-determination

ResearchJournal article17 April 2026

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, Shiva Garuda, Rafael F. Guerrero, Brian C. Keegan, Nolan C. Kane

Scientific Reports

Analyses transcriptomes of cannabis masculinised with colloidal silver using Nota (network ontology transcript annotation), a random-walk-with-restart multilayer network tool, to identify candidate genes in sex determination. The candidates include genes linked to cell-wall morphogenesis and embryogenic tissue homeostasis, which the authors read as evidence that silver ions disturb phytohormone signalling through metal-ion imbalance. The paper presents the method as suited to complex traits in non-model systems, and its results are candidate associations. It sits with the other sex-determination studies in this corpus.

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DOI10.1038/s41598-026-45070-7

Record created 15 October 2026maintained by landrace.wiki editorspage history

2026-04-17 2026-10-15 Network ontology transcript annotation identifies genetic signals underlying sex determination Journal article Genetics 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, Shiva Garuda, Rafael F. Guerrero, Brian C. Keegan, Nolan C. Kane Scientific Reports 2026 10.1038/s41598-026-45070-7 https://doi.org/10.1038/s41598-026-45070-7 https://www.nature.com/articles/s41598-026-45070-7.pdf Analyses transcriptomes of cannabis masculinised with colloidal silver using Nota (network ontology transcript annotation), a random-walk-with-restart multilayer network tool, to identify candidate genes in sex determination. The candidates include genes linked to cell-wall morphogenesis and embryogenic tissue homeostasis, which the authors read as evidence that silver ions disturb phytohormone signalling through metal-ion imbalance. The paper presents the method as suited to complex traits in non-model systems, and its results are candidate associations. It sits with the other sex-determination studies in this corpus.