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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
Loading articles data…
Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
9 articles
Newest firstBackgroundThe legalization of adult-use Cannabis sativa in New York State has created a need for research-based information on expected yield, production costs, revenue, and profitability for greenhouse cultivation. Limited data currently exist to inform growers and investors. This study evaluates both agronomic and economic outcomes for two flowering strategies—autoflower (light-insensitive) and photoperiod (ligh…
Open article record in new tab ↗Currently, the amount of genetic data for Cannabis is lacking due to the illegal nature of the plant. Our study used 73 Cannabis sativa whole-genome shotgun libraries to reveal eight different mtDNA haplotypes. The most common haplotype contained 60 of the 73 samples studied and was composed of only dioecious individuals. However, other haplotypes contained a mix of both mating strategies (i.e. monoecious and dioe…
Open article record in new tab ↗Cannabinoid production is one of the key attributes of the plant Cannabis sativa and the characterization of the genes involved is an essential first step to develop tools for their optimization. We used bioinformatic approaches to annotate and explore variation in the coding genes for critical enzymes comprising the cannabinoid pathway: Olivetol Synthase (OLS), Olivetolic Acid Cyclase (OAC), and Cannabigerolic Ac…
Open article record in new tab ↗The National Institute on Drug Abuse (NIDA) is the sole producer of Cannabis for research purposes in the United States, including medical investigation. Previous research established that cannabinoid profiles in the NIDA varieties lacked diversity and potency relative to the Cannabis produced commercially. Additionally, microsatellite marker analyses have established that the NIDA varieties are genetically diverg…
The National Institute on Drug Abuse (NIDA) is the sole producer of Cannabis for research purposes in the United States, including medical investigation. Previous research established that cannabinoid profiles in the NIDA varieties lacked diversity and potency relative to the Cannabis produced commercially. Additionally, microsatellite marker analyses have established that the NIDA varieties are genetically diverg…
Gene copy number (CN) variation is known to be important in nearly every species where it has been examined. Alterations in gene CN may provide a fast way of acquiring diversity, allowing rapid adaptation under strong selective pressures, and may also be a key component of standing genetic variation within species. Cannabis sativa plants produce a distinguishing set of secondary metabolites, the cannabinoids, many…
Open article record in new tab ↗BACKGROUND: The repetitive content of the genome, once considered to be "junk DNA", is in fact an essential component of genomic architecture and evolution. In this study, we used the genomes of three varieties of Cannabis sativa, three varieties of Humulus lupulus and one genotype of Morus notabilis to explore their repetitive content using a graph-based clustering method, designed to explore and compare repeat c…
Open article record in new tab ↗As the most widely used illicit drug worldwide, and as a source of numerous under-studied pharmacologically-active compounds, a precise understanding of variability in psychological and physiological effects of Cannabis varieties is essential. The National Institute on Drug Abuse (NIDA) is designated as the sole legal producer of Cannabis for use in US research studies. We sought to compare the chemical profiles o…
Open article record in new tab ↗The following report details the first annotated mitochondrial genome for the Carmagnola variety of Cannabis sativa, the first reference genome for the Cannabaceae family. The total length is 415,499 bp and contains 54 genes, which sub-divide into 38 protein-coding genes, 15 tRNA genes, and 3 rRNA genes.
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