J
Jonathan E. Page
Researcher at University of British Columbia
Publications - 52
Citations - 4113
Jonathan E. Page is an academic researcher from University of British Columbia. The author has contributed to research in topics: Cannabinoid & Humulus lupulus. The author has an hindex of 26, co-authored 50 publications receiving 3464 citations. Previous affiliations of Jonathan E. Page include University of Saskatchewan & Leibniz Institute for Neurobiology.
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Journal ArticleDOI
Xanthohumol and related prenylflavonoids from hops and beer: to your good health!
Jan F. Stevens,Jonathan E. Page +1 more
TL;DR: Biological activities suggest that prenylflavonoids from hops have potential for application in cancer prevention programs and in prevention or treatment of (post-)menopausal 'hot flashes' and osteoporosis.
Journal ArticleDOI
The draft genome and transcriptome of Cannabis sativa
Harm van Bakel,Jake Stout,Jake Stout,Atina G. Cote,Carling M Tallon,Andrew G. Sharpe,Timothy P. Hughes,Jonathan E. Page,Jonathan E. Page +8 more
TL;DR: The availability of the Cannabis sativa genome enables the study of a multifunctional plant that occupies a unique role in human culture and will aid the development of therapeutic marijuana strains with tailored cannabinoid profiles and provide a basis for the breeding of hemp with improved agronomic characteristics.
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Identification of olivetolic acid cyclase from Cannabis sativa reveals a unique catalytic route to plant polyketides.
TL;DR: This work shows that a type III PKS (tetraketide synthase) from cannabis trichomes requires the presence of a polyketide cyclase enzyme, olivetolic acid cyclase (OAC), which catalyzes a C2–C7 intramolecular aldol condensation with carboxylate retention to form OA.
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The Genetic Structure of Marijuana and Hemp
Jason Sawler,Jake Stout,Kyle M. Gardner,Darryl Hudson,John Vidmar,Laura Butler,Jonathan E. Page,Sean Myles +7 more
TL;DR: It is shown that marijuana and hemp are significantly differentiated at a genome-wide level, demonstrating that the distinction between these populations is not limited to genes underlying THC production, and that marijuana strain names often do not reflect a meaningful genetic identity.
Journal ArticleDOI
Transcriptome analysis based on next-generation sequencing of non-model plants producing specialized metabolites of biotechnological interest.
Mei Xiao,Ye Zhang,Xue Chen,Eun-Jeong Lee,Carla J.S. Barber,Romit Chakrabarty,Isabel Desgagné-Penix,Tegan M. Haslam,Yeon-bok Kim,Enwu Liu,Gillian MacNevin,Sayaka Masada-Atsumi,Darwin W. Reed,Jake Stout,Philipp Zerbe,Yansheng Zhang,Joerg Bohlmann,Patrick S. Covello,Vincenzo De Luca,Jonathan E. Page,Dae-Kyun Ro,Vincent J. J. Martin,Peter J. Facchini,Christoph Wilhelm Sensen +23 more
TL;DR: A data-mining framework is established, employing next-generation sequencing and computational algorithms, to construct and analyze the transcriptomes of 75 non-model plants that produce compounds of interest for biotechnological applications and the selection of biosynthetic gene candidates associated with six specialized metabolic pathways is described.