From dawn 'til dusk: daytime progression regulates primary and secondary metabolism in Cannabis glandular trichomes.

Cannabis sativa L. glandular trichomes (GTs) synthesise large amounts of secondary metabolites, predominantly cannabinoids and terpenoids. The associated demand for carbon and energy makes GTs strong sink tissues with indications that their secondary metabolism is coupled to the availability of photoassimilates. Many metabolites show diurnal patterns of flux, but it is unknown whether cannabinoids and terpenoids are regulated by time of day. We quantified cannabinoids, terpenoids and the GT proteome over a 12-hour light period in flowers of Hindu Kush, a high-tetrahydrocannabinol (THC) cultivar. Major cannabinoids changed significantly over the course of day, resulting in an increase in total measured cannabinoids. Major terpenoids also changed, with sesquiterpenes generally decreasing with day progression. While monoterpenes generally did not decrease, the second most abundant, α-pinene, increased. The GT proteome changed the most within the first six hours of the day and analysis of differentially abundant proteins indicated upregulation of primary metabolism. Surprisingly, key cannabinoid biosynthetic enzymes decreased with daytime progression despite increases in cannabinoid content, which indicate that daytime increases of photoassimilates are the main driver of cannabinoid regulation. This first reporting of variability of cannabinoid and terpenoid biosynthesis over the course of the day has implications for Cannabis research and production.

Challenges for FAIR-compliant description and comparison of crop phenotype data with standardized controlled vocabularies.

Crop phenotypic data underpin many pre-breeding efforts to characterize variation within germplasm collections. Although there has been an increase in the global capacity for accumulating and comparing such data, a lack of consistency in the systematic description of metadata often limits integration and sharing. We therefore aimed to understand some of the challenges facing findable, accesible, interoperable and reusable (FAIR) curation and annotation of phenotypic data from minor and underutilized crops. We used bambara groundnut (Vigna subterranea) as an exemplar underutilized crop to assess the ability of the Crop Ontology system to facilitate curation of trait datasets, so that they are accessible for comparative analysis. This involved generating a controlled vocabulary Trait Dictionary of 134 terms. Systematic quantification of syntactic and semantic cohesiveness of the full set of 28 crop-specific COs identified inconsistencies between trait descriptor names, a relative lack of cross-referencing to other ontologies and a flat ontological structure for classifying traits. We also evaluated the Minimal Information About a Phenotyping Experiment and FAIR compliance of bambara trait datasets curated within the CropStoreDB schema. We discuss specifications for a more systematic and generic approach to trait controlled vocabularies, which would benefit from representation of terms that adhere to Open Biological and Biomedical Ontologies principles. In particular, we focus on the benefits of reuse of existing definitions within pre- and post-composed axioms from other domains in order to facilitate the curation and comparison of datasets from a wider range of crops. Database URL: https://www.cropstoredb.org/cs_bambara.html.