Genome-wide view and characterization of natural antisense transcripts in Cannabis Sativa L.

Natural Antisense Transcripts (NATs) are a kind of complex regulatory RNAs that play crucial roles in gene expression and regulation. However, the NATs in Cannabis Sativa L., a widely economic and medicinal plant rich in cannabinoids remain unknown. In this study, we comprehensively predicted C. sativa NATs genome-wide using strand-specific RNA sequencing (ssRNA-Seq) data, and validated the expression profiles by strand-specific quantitative reverse transcription PCR (ssRT-qPCR). Consequently, a total of 307 NATs were predicted in C. sativa, including 104 cis- and 203 trans- NATs. Functional enrichment analysis demonstrated the potential involvement of the C. sativa NATs in DNA polymerase activity, RNA-DNA hybrid ribonuclease activity, and nucleic acid binding. Finally, 18 cis- and 376 trans- NAT-ST pairs were predicted to produce 621 cis- and 5,679 trans- small interfering RNA (nat-siRNAs), respectively. These nat-siRNAs were potentially involved in the biosynthesis of cannabinoids and cellulose. All these results will shed light on the regulation of NATs and nat-siRNAs in C. sativa.

Impact of Cannabis Use on Immune Cell Populations and the Viral Reservoir in People With HIV on Suppressive Antiretroviral Therapy.

BACKGROUND: Human immunodeficiency virus (HIV) infection remains incurable due to the persistence of a viral reservoir despite antiretroviral therapy (ART). Cannabis (CB) use is prevalent amongst people with HIV (PWH), but the impact of CB on the latent HIV reservoir has not been investigated. METHODS: Peripheral blood cells from a cohort of PWH who use CB and a matched cohort of PWH who do not use CB on ART were evaluated for expression of maturation/activation markers, HIV-specific T-cell responses, and intact proviral DNA. RESULTS: CB use was associated with increased abundance of naive T cells, reduced effector T cells, and reduced expression of activation markers. CB use was also associated with reduced levels of exhausted and senescent T cells compared to nonusing controls. HIV-specific T-cell responses were unaffected by CB use. CB use was not associated with intact or total HIV DNA frequency in CD4 T cells. CONCLUSIONS: This analysis is consistent with the hypothesis that CB use reduces activation, exhaustion, and senescence in the T cells of PWH, and does not impair HIV-specific CD8 T-cell responses. Longitudinal and interventional studies with evaluation of CB exposure are needed to fully evaluate the impact of CB use on the HIV reservoir.

Harnessing the advances of genetic engineering in microalgae for the production of cannabinoids.

Cannabis is widely recognized as a medicinal plant owing to bioactive cannabinoids. However, it is still considered a narcotic plant, making it hard to be accessed. Since the biosynthetic pathway of cannabinoids is disclosed, biotechnological methods can be employed to produce cannabinoids in heterologous systems. This would pave the way toward biosynthesizing any cannabinoid compound of interest, especially minor substances that are less produced by a plant but have a high medicinal value. In this context, microalgae have attracted increasing scientific interest given their unique potential for biopharmaceutical production. In the present review, the current knowledge on cannabinoid production in different hosts is summarized and the biotechnological potential of microalgae as an emerging platform for synthetic production is put in perspective. A critical survey of genetic requirements and various transformation approaches are also discussed.

The Pharmacogenetics of Cannabis in the Treatment of Chronic Pain.

BACKGROUND: The increase in the medical use of cannabis has revealed a number of beneficial effects, a variety of adverse side effects and great inter-individual variability. Association studies connecting consumption, addiction and side effects related to recreational cannabis use have led to the identification of several polymorphic genes that may play a role in the pharmacodynamics and pharmacokinetics of cannabis. METHOD: In total, 600 patients treated with cannabis were genotyped for several candidate polymorphic genes (single-nucleotide polymorphism; SNP), encoding receptors CNR1 and TRPV1; for the ABCB1 transporter; for biotransformation, bioactivation and biosynthesis; and CYP3A4, COMT and UGT2B7 conjugation. RESULTS: Three polymorphic genes (ABCB1, TRPV1 and UGT2B7) were identified as being significantly associated with decline in pain after treatment with cannabis. Patients simultaneously carrying the most favourable allele combinations showed a greater reduction (polygenic effect) in pain compared to those with a less favourable combination. Considering genotype combinations, we could group patients into good responders, intermediate responders and poor or non-responders. Results suggest that genetic makeup is, at the moment, a significant predictive factor of the variability in response to cannabis. CONCLUSIONS: This study proves, for the first time, that certain polymorphic candidate genes may be associated with cannabis effects, both in terms of pain management and side effects, including therapy dropout. SIGNIFICANCE: Our attention to pharmacogenetics began in 2008, with the publication of a first study on the association between genetic polymorphisms and morphine action in pain relief. The study we are presenting is the first observational study conducted on a large number of patients involving several polymorphic candidate genes. The data obtained suggest that genetic makeup can be a predictive factor in the response to cannabis therapy and that more extensive and planned studies are needed for the opening of new scenarios for the personalization of cannabis therapy.

[Cultivation and breeding of industrial Cannabis sativa].

Cannabis sativa,with a long history of cultivation, is a traditional industrial crop widely used for food, textiles, and me-dicine. This study discussed industrial C. sativa and medicinal C. sativa. According to the characteristics of management policies of C. sativa in different periods, we divided the development stages of C. sativa into three stages and analyzed the changes in breeding and cultivation goals under the influence of policies. Meanwhile, a comprehensive analysis was carried out based on the breeding conditions of industrial C. sativa in China. Because of the vast territory of China, the differences in agricultural planting environment, economic development, and social development in the southern and northern areas result in different used parts of C. sativa. To be speci-fic, flowers and leaves are used in Yunnan, fiber in Heilongjiang, and seeds in Shanxi. The breeding of C. sativa varieties highlights fiber, seeds, or both of them. As the value of cannabidiol is explored, medicinal C. sativa has been approved in recent years. Based on the cultivation characteristics and value of industrial C. sativa, it is proposed that industrial C. sativa has a broad application prospect as an important industrial crop, and the existing products contain almost no tetrahydrocannabinol. The cultivation of C. sativa should be rationally guided to promote the development of the C. sativa industry. Moreover, it is recommended to actively apply advanced breeding techniques such as molecular breeding to overcome the problems of the uncertainty of the existing induced breeding and the excessively long hybrid breeding cycle, and develop high value-added applications such as medicinal products of C. sativa to enhance the exploitation of the economic value of C. sativa.

Evolution, genetics and biochemistry of plant cannabinoid synthesis: a challenge for biotechnology in the years ahead.

Cannabis sativa is most prominent for its psychoactive secondary compound tetrahydrocannabinol, or THC. However, THC is only one of many phytocannabinoids found in this (in)famous medicinal plant. The stepwise legalization of Cannabis in many countries has opened opportunities for its medicinal and commercial use, sparking scientific interest in the genetics and biochemistry of phytocannabinoid synthesis. Advances in plant biology and genomics help to accelerate research in the Cannabis field, which is still lagging behind other comparable high-value crops. Here, we discuss the intriguing genetics and evolutionary history of phytocannabinoid synthases, and also show that an increased understanding of Cannabis developmental genetics and morphology are of critical importance to leverage the full potential of phytocannabinoid production.

The chemical composition of ethanolic extracts from six genotypes of medical cannabis (Cannabis sativa L.) and their selective cytotoxic activity.

Cannabis (Cannabis sativa L.) for medical purposes has been legalized again in many countries in recent years. Currently, only two major cannabinoids (Δ9-THC and CBD) are considered in the legislation and medication, which is not sufficient in case of dried plant material or resulting extract. Other substances (mainly terpenes/terpenoids), or their specific combinations, could influence the resulting therapeutic effect for specific oncology diagnosis and specific patients. Six different genotypes (Conspiracy Kush, Jilly Bean, Jack Cleaner 2, Jack Skellington, Nordle and Nurse Jackie) were cultivated indoor at the Czech University of Life Sciences Prague. Ethanol extracts taken from the inflorescences were assayed for their content of main cannabinoids and terpenes/terpenoids. The extracts were used for in vitro cytotoxicity studies on hepatocarcinoma human cell lines Hep-G2 and colorectal carcinoma human cell lines Caco-2 and Ht-29. Healthy lung fibroblast MRC-5 and healthy intestinal cells FHs 74 Int were used to compare selectivity of cytotoxicity. The average content of Δ9-THC in extracts was 59.1 ± 2.43%, and of CBD 1.84 ± 0.17%. The content of main cannabinoids in the Nurse Jackie genotype extract was significantly greater than that of the other genotypes. Overall, more than 60 different terpenes/terpenoids were identified in the extracts. The major terpenes/terpenoids detected in most genotypes were limonene, linalool, α-terpineol, ß-caryophyllene, trans-α-bergamotene, α-humulene, ß-caryophyllene oxide, guaiol, γ-eudesmol, ß-eudesmol and α-bisabolol. Differences in the terpene composition of individual genotypes were caused by minor terpenoids, such as ß-ocimene, isopulegol acetate, ß-elemene, ß-selinene and spathulenol. All extracts were highly cytotoxic to Ht-29 colorectal carcinoma cells and showed positive selectivity compared to healthy FHs 74 Int colon cells. The Jack Cleaner 2 extract was cytotoxic to all cell lines tested at the lowest concentrations (8.48 ± 2.4-16.14 ± 0,07 µg/mL), but was positively selective only for colorectal cancer cells, especially Ht-29 and to a lesser extent for Caco-2. Similarly, the Nordle extract showed positive selectivity for Ht-29 and Caco-2 only. Jilly Bean was unique in this study, in that its extract functioned on all cell lines at the highest concentrations (20.13 ± 3.05-49.88 ± 1.5 µg/mL), whilst also being highly positively selective in all carcinoma lines (Ht-29, Caco-2 and Hep-G2 hepatocarcinoma) compared to healthy cell lines (FHs 74 Int and MRC-5). The results suggest that Δ9-THC and CBD are responsible for the in vitro cytotoxicity of the extracts, but observed differences in selectivity reveal their synergies with other substances. According to chemical analysis, higher concentrations of myrcene, ß-elemene, ß-selinene and α-bisabolol oxide found in the Jilly Bean genotype may positively affect the selectivity of cytotoxic activity. It is therefore vital that similar studies are performed on other cell lines, in order to be able to recommend these cannabis genotypes for preclinical and clinical studies, which are still lacking.

Bibenzyl synthesis in Cannabis sativa L.

This study focuses on the biosynthesis of a suite of specialized metabolites from Cannabis that are known as the 'bibenzyls'. In planta, bibenzyls accumulate in response to fungal infection and various other biotic stressors; however, it is their widely recognized anti-inflammatory properties in various animal cell models that have garnered recent therapeutic interest. We propose that these compounds are synthesized via a branch point from the core phenylpropanoid pathway in Cannabis, in a three-step sequence. First, various hydroxycinnamic acids are esterified to acyl-coenzyme A (CoA) by a member of the 4-coumarate-CoA ligase family (Cs4CL4). Next, these CoA esters are reduced by two double-bond reductases (CsDBR2 and CsDBR3) that form their corresponding dihydro-CoA derivatives from preferred substrates. Finally, the bibenzyl backbone is completed by a polyketide synthase that specifically condenses malonyl-CoA with these dihydro-hydroxycinnamoyl-CoA derivatives to form two bibenzyl scaffolds: dihydropiceatannol and dihydroresveratrol. Structural determination of this 'bibenzyl synthase' enzyme (CsBBS2) indicates that a narrowing of the hydrophobic pocket surrounding the active site evolved to sterically favor the non-canonical and more flexible dihydro-hydroxycinnamoyl-CoA substrates in comparison with their oxidized relatives. Accordingly, three point mutations that were introduced into CsBBS2 proved sufficient to restore some enzymatic activity with an oxidized substrate, in vitro. Together, the identification of this set of Cannabis enzymes provides a valuable contribution to the growing 'parts prospecting' inventory that supports the rational metabolic engineering of natural product therapeutics.

A Proteomic View of Cellular and Molecular Effects of Cannabis.

Cannabis (Cannabis sativa), popularly known as marijuana, is the most commonly used psychoactive substance and is considered illicit in most countries worldwide. However, a growing body of research has provided evidence of the therapeutic properties of chemical components of cannabis known as cannabinoids against several diseases including Alzheimer's disease (AD), multiple sclerosis (MS), Parkinson's disease, schizophrenia and glaucoma; these have prompted changes in medicinal cannabis legislation. The relaxation of legal restrictions and increased socio-cultural acceptance has led to its increase in both medicinal and recreational usage. Several biochemically active components of cannabis have a range of effects on the biological system. There is an urgent need for more research to better understand the molecular and biochemical effects of cannabis at a cellular level, to understand fully its implications as a pharmaceutical drug. Proteomics technology is an efficient tool to rigorously elucidate the mechanistic effects of cannabis on the human body in a cell and tissue-specific manner, drawing conclusions associated with its toxicity as well as therapeutic benefits, safety and efficacy profiles. This review provides a comprehensive overview of both in vitro and in vivo proteomic studies involving the cellular and molecular effects of cannabis and cannabis-derived compounds.

Essential Oil of Cannabis sativa L: Comparison of Yield and Chemical Composition of 11 Hemp Genotypes.

Cannabis sativa L. is an annual species cultivated since antiquity for different purposes. While, in the past, hemp inflorescences were considered crop residues, at present, they are regarded as valuable raw materials with different applications, among which extraction of the essential oil (EO) has gained increasing interest in many fields. The aim of the present study is the evaluation of the yield and the chemical composition of the EO obtained by hydrodistillation from eleven hemp genotypes, cultivated in the same location for two consecutive growing seasons. The composition of the EOs was analyzed by GC-MS, and then subjected to multivariate statistical analysis. Sesquiterpenes represented the main class of compounds in all the EOs, both in their hydrocarbon and oxygenated forms, with relative abundances ranging from 47.1 to 78.5%; the only exception was the Felina 32 sample collected in 2019, in which cannabinoids predominated. Cannabinoids were the second most abundant class of compounds, of which cannabidiol was the main one, with relative abundances between 11.8 and 51.5%. The statistical distribution of the samples, performed on the complete chemical composition of the EOs, evidenced a partition based on the year of cultivation, rather than on the genotype, with the exception of Uso-31. Regarding the extraction yield, a significant variation was evidenced among both the genotypes and the years of cultivation.

Synergizing Off-Target Predictions for In Silico Insights of CENH3 Knockout in Cannabis through CRISPR/Cas.

The clustered regularly interspaced short palindromic repeats (CRISPR)/Cas-mediated genome editing system has recently been used for haploid production in plants. Haploid induction using the CRISPR/Cas system represents an attractive approach in cannabis, an economically important industrial, recreational, and medicinal plant. However, the CRISPR system requires the design of precise (on-target) single-guide RNA (sgRNA). Therefore, it is essential to predict off-target activity of the designed sgRNAs to avoid unexpected outcomes. The current study is aimed to assess the predictive ability of three machine learning (ML) algorithms (radial basis function (RBF), support vector machine (SVM), and random forest (RF)) alongside the ensemble-bagging (E-B) strategy by synergizing MIT and cutting frequency determination (CFD) scores to predict sgRNA off-target activity through in silico targeting a histone H3-like centromeric protein, HTR12, in cannabis. The RF algorithm exhibited the highest precision, recall, and F-measure compared to all the tested individual algorithms with values of 0.61, 0.64, and 0.62, respectively. We then used the RF algorithm as a meta-classifier for the E-B method, which led to an increased precision with an F-measure of 0.62 and 0.66, respectively. The E-B algorithm had the highest area under the precision recall curves (AUC-PRC; 0.74) and area under the receiver operating characteristic (ROC) curves (AUC-ROC; 0.71), displaying the success of using E-B as one of the common ensemble strategies. This study constitutes a foundational resource of utilizing ML models to predict gRNA off-target activities in cannabis.

[Genome-wide analysis of LBD(lateral organ boundaries domain) gene family in Cannabis sativa of traditional Chinese medicine hemp seed].

LBD(lateral organ boundaries)transcription factors play an important role in the regulation of plant growth, development and secondary metabolism. In order to explore the function of LBD genes in cannabis, the Cannabis sativa genome and transcriptome were used to identify the C. sativa LBD gene family, and analyzed their expression patterns. Our results showed that the cannabis LBD contains 32 members, which were divided into two major categories, seven sub-families. Class Ⅰ was divided into 5 sub-families, named Class Ⅰ_a to Class Ⅰ_e, while Class Ⅱ was divided into 2 sub-families, including Class Ⅱ_a and Class Ⅱ_b. Analysis showed that the number of amino acids encoded LBDs was between 172 and 356, and the isoelectric point was between 4.92 and 9.43. The mole-cular weight of LBD was between 18 862.92 Da and 40 081.33 Da, and most members are located in the nucleus. Chromosome positioning of LBD showed that 32 members were unevenly distributed on 10 chromosomes of C. sativa LBD transcription factor domain, gene structure and motifs are relatively conservative, and the characteristics of different class members are similar. The upstream promoter region of the gene contains a variety of cis-acting elements related to plant hormones and environmental factors, C. sativa LBD genes have different expression patterns in the stems, leaves, and flowers of ZYS varieties(low tetrahydrocannabinol, high cannabidiol). The members of the LBD gene family are mainly expressed in the flowers and stems of ZYS varieties, while members expressed in the leaves very few; Class Ⅱ members CsLBD21 and CsLBD23 are expressed in flowers and stems, and CsLBD8 and CsLBD18 are expressed in flowers, stems and leaves. These genes may participate in the growth and development of cannabis and affect the biosynthesis of cannabinoids. This study laid the foundation for the subsequently functional research of the cannabis LBD gene family.

Cannabis Research.

The International Cannabis Consortium (ICC) was founded in 2013 by Jacqueline Vink, Nathan Gillespie, Karin Verweij and Eske Derks. The largest contribution to the first meta-analysis was made by Prof. Nick Martin. The ICC has published two primary publications, in Translational Psychiatry and Nature Neuroscience, and many secondary publications. The study's principal investigators will always be grateful for Nick's contribution to science as they would not have been able to do any of this work without the contributions of Nick and others who collected samples. Nick has made unique contributions to the careers of many junior researchers by supporting their development and growth into senior positions.

Establishment and optimization of a hemp (Cannabis sativa L.) agroinfiltration system for gene expression and silencing studies.

Industrial hemp (Cannabis sativa L.) is a high-yielding annual crop primarily grown for fiber, seeds, and oil. Due to the phytochemical composition of hemp, there has been an increased interest in the market for nutraceuticals and dietary supplements for human health. Recent omics analysis has led to the elucidation of hemp candidate genes involved in the syntheses of specialized metabolites. However, a detailed study of these genes has not been undertaken due to the lack of a stable transformation system. We report for the first time an agroinfiltration system in hemp utilizing vacuum infiltration, which is an alternative method to stable transformation. A combination of 0.015% Silwett L-77, 5 mM ascorbic acid, and thirty second sonication followed by a 10-minute vacuum treatment resulted in the highest ß-glucuronidase expression in the leaf, male and female flowers, stem, and root tissues. The phytoene desaturase gene was silenced with a transient hairpin RNA expression, resulting in an albino phenotype in the leaves and the male and female flowers. This agroinfiltration system would be useful for overexpression and silencing studies of target genes to regulate the yield of specialized metabolites in hemp.

A new ESI-LC/MS approach for comprehensive metabolic profiling of phytocannabinoids in Cannabis.

Most clinical studies of Cannabis today focus on the contents of two phytocannabinoids: (-)-Δ9-trans-tetrahydrocannabinol (Δ9-THC) and cannabidiol (CBD), regardless of the fact that the plant contains over 100 additional phytocannabinoids whose therapeutic effects and interplay have not yet been fully elucidated. This narrow view of a complex Cannabis plant is insufficient to comprehend the medicinal and pharmacological effects of the whole plant. In this study we suggest a new ESI-LC/MS/MS approach to identify phytocannabinoids from 10 different subclasses, and comprehensively profile the identified compounds in diverse medical Cannabis plants. Overall, 94 phytocannabinoids were identified and used for profiling 36 of the most commonly used Cannabis plants prescribed to patients in Israel. In order to demonstrate the importance of comprehensive phytocannabinoid analysis before and throughout medical Cannabis clinical trials, treatments, or experiments, we evaluated the anticonvulsant effects of several equally high-CBD Cannabis extracts (50% w/w). We found that despite the similarity in CBD contents, not all Cannabis extracts produced the same effects. This study's approach for phytocannabinoid profiling can enable researchers and physicians to analyze the effects of specific Cannabis compositions and is therefore critical when performing biological, medical and pharmacological-based research using Cannabis.

Development of simple and accurate detection systems for Cannabis sativa using DNA chromatography.

In recent years, the need for analyzing cannabis DNA has increased in order to accommodate the various types of cannabis samples encountered in forensic investigation. This study was aimed to establish a simple and accurate cannabis DNA detection system using DNA chromatography. Two chromatography chip systems with different features were successfully developed. One system (the "four-line version") involves tetraplex PCR amplification, which could be used to detect cannabis DNA and distinguish between drug-type and fiber-type cannabis using the tetrahydrocannabinolic acid synthase gene sequence. The other system was the "three-line version" with triplex amplification, which was specialized to distinguish cannabis from other plants, and had a sensitivity (10fg DNA/reaction) that was 100 times greater than the four-line version. In both versions, no false positives were observed for 60 medicinal plants, and accurate detection could be performed for several simulated forensic samples such as cannabis leaves, buds, stems, roots, seeds, resin, and cannabis leaves blended 1/100 in tobacco. Detection could be performed by the naked eye and only a thermal cycler was required for operation. Thus, DNA chromatography systems for cannabis detection are expected to contribute to the analysis of cannabis DNA in forensic chemistry laboratories without extensive equipment.

Pharmacological Foundations of Cannabis Chemovars.

An advanced Mendelian Cannabis breeding program has been developed utilizing chemical markers to maximize the yield of phytocannabinoids and terpenoids with the aim to improve therapeutic efficacy and safety. Cannabis is often divided into several categories based on cannabinoid content. Type I, Δ9-tetrahydrocannabinol-predominant, is the prevalent offering in both medical and recreational marketplaces. In recent years, the therapeutic benefits of cannabidiol have been better recognized, leading to the promotion of additional chemovars: Type II, Cannabis that contains both Δ9-tetrahydrocannabinol and cannabidiol, and cannabidiol-predominant Type III Cannabis. While high-Δ9-tetrahydrocannabinol and high-myrcene chemovars dominate markets, these may not be optimal for patients who require distinct chemical profiles to achieve symptomatic relief. Type II Cannabis chemovars that display cannabidiol- and terpenoid-rich profiles have the potential to improve both efficacy and minimize adverse events associated with Δ9-tetrahydrocannabinol exposure. Cannabis samples were analyzed for cannabinoid and terpenoid content, and analytical results are presented via PhytoFacts, a patent-pending method of graphically displaying phytocannabinoid and terpenoid content, as well as scent, taste, and subjective therapeutic effect data. Examples from the breeding program are highlighted and include Type I, II, and III Cannabis chemovars, those highly potent in terpenoids in general, or single components, for example, limonene, pinene, terpinolene, and linalool. Additionally, it is demonstrated how Type I - III chemovars have been developed with conserved terpenoid proportions. Specific chemovars may produce enhanced analgesia, anti-inflammatory, anticonvulsant, antidepressant, and anti-anxiety effects, while simultaneously reducing sequelae of Δ9-tetrahydrocannabinol such as panic, toxic psychosis, and short-term memory impairment.

In Vitro Propagation of Cannabis sativa L. and Evaluation of Regenerated Plants for Genetic Fidelity and Cannabinoids Content for Quality Assurance.

Cannabis sativa L. (Marijuana; Cannabaceae), one of the oldest medicinal plants in the world, has been used throughout history for fiber, food, as well as for its psychoactive properties. The dioecious and allogamous nature of C. sativa is the major constraint to maintain the consistency in chemical profile and overall efficacy if grown from seed. Therefore, the present optimized in vitro propagation protocol of the selected elite germplasm via direct organogenesis and quality assurance protocols using genetic and chemical profiling provide an ideal pathway for ensuring the efficacy of micropropagated Cannabis sativa germplasm. A high frequency shoot organogenesis of C. sativa was obtained from nodal segments in 0.5 µM thidiazuron medium and 95 % in vitro rhizogenesis is obtained on half-strength MS medium supplemented with 500 mg/L activated charcoal and 2.5 µM indole-3-butyric acid. Inter Simple Sequence Repeats (ISSR) and Gas Chromatography-Flame Ionization Detection (GC-FID) are successfully used to monitor the genetic stability in micropropagated plants up to 30 passages in culture and hardened in soil for 8 months.