Skip to main content
Canna~Fangled Abstracts

Editorial: Cannabis Genomics, Breeding and Production

By October 30, 2020November 17th, 2020No Comments

EDITORIAL ARTICLEFront. Plant Sci., 30 October 2020 | https://doi.org/10.3389/fpls.2020.591445

  • 1Department of Plant Science, McGill University, Montreal, QC, Canada
  • 2Research Center for Industrial Cultures, Council for Agricultural Research and Analysis of Agricultural Economics, Bologna, Italy
  • 3Department of Biological Sciences, University of Manitoba, Winnipeg, MB, Canada
  • 4School of Pharmacy, University of Mississippi, Oxford, MS, United States

Editorial on the Research Topic
Cannabis Genomics, Breeding and Production

Introduction

Cannabis sativa was illegal during most of the 20th century, but has recently been decriminalized or even legalized in some jurisdictions. During the same period, scientific tools were developed, giving us unprecedented insights into how plants grow, evolve, interact with their environment, and synthesize metabolites. However, because cannabis was largely illegal as these advances were made, this plant has been woefully understudied, and continues to hold many mysteries. To move forward, and bring the benefits of cannabis to the forefront, the legal landscape must be streamlined to allow for efficient scientific investigation.

The legal classification of cannabis and hemp in the United States (Mead) and around the world is rapidly evolving which means there are ever-changing obstacles for producers and researchers alike. For example, in the US, there is confusion as to whether cannabis state laws are superseded by federal law, a variety of factors that determine the extent of enforcement related to state-authorized cannabis activities, and questions surrounding the legality and approval process for CBD-based products. Also in Europe the relations between EU regulations and controls, and the attitude of national legislations toward cannabis is not without contradictions. In addition, cannabis literature is surrounded by relics of black-market terminology mixed with current pharmaceutical influences that make for an unusual landscape (Russo). For example, referring to cannabis “strains” is a misnomer and they would more appropriately be termed “chemovars.” In addition, the notion that cannabinoid biosynthesis in yeast can replace cultivation of whole plants may be an oversimplification that relies on the assumption that the benefits of cannabis-based medicines come from single compounds. These legal and conceptual frameworks must be addressed to streamline the advance of research and adoption of cannabis-based medicines.

To date, much research on cannabis has focused on distinguishing between marijuana (drug-type cannabis) and hemp (fiber/seed-type cannabis) (Gilmore et al., 2003Datwyler and Weiblen, 2006Howard et al., 2009Rotherham and Harbison, 2011Sutipatanasomboon and Panvisavas, 2011Sawler et al., 2015Dufresnes et al., 2017), quantifying cannabinoids accumulation in plant tissues (Mahlberg and Kim, 2004Pacifico et al., 2008Muntendam et al., 2012Happyana, 2014Happyana and Kayser, 2016) and elucidating cannabinoid biosynthesis (Flores-Sanchez and Verpoorte, 2008Marks et al., 2009Flores-Sanchez et al., 2010). This reflects the fact that drug-type cannabis was illegal and needed to be rapidly distinguished from hemp in the context of law enforcement. However, there are a few examples of studies that examined how to elicit cannabinoid or terpenoid biosynthesis (Lydon et al., 1987Mansouri et al., 2009a,b201120132016Mansouri and Asrar, 2012Mansouri and Rohani, 2014Mansouri and Salari, 2014), how fertilization affects cannabis and hemp yields (Finnan and Burke, 2013a,bAubin et al., 2015Campiglia et al., 2017Caplan et al., 2017), classification of cannabis varieties based on chemotype (Choi et al., 2004a,bFischedick et al., 2010Hazekamp and Fischedick, 2012Hazekamp et al., 2016), and large-scale genome sequencing efforts (Van Bakel et al., 2011McKernan et al., 2020). The research in this volume extends on these topics to improve our understanding of applications of novel production, breeding, and analytic tools can improve cannabis and hemp cultivation.

Production Factors That Influence Cannabis Yield and Quality

A wide variety of specialty cannabis fertilizers are used but efficacy of these products and techniques remain largely scientifically unproven. Questions considered in this volume include: how do different genotypes of cannabis respond to the level of K fertilization? Do nutritional supplements such as humic acid supplementation or inorganic N, P or K affect plant cannabinoid profile? To address the first question, two cannabis genotypes were fertilized with five levels of K (Saloner et al.) (ranging from 15 to 240 ppm K). Growth responses showed that response to K level varied between genotypes but that 15 ppm K was too low for both genotypes leading to growth reduction. However, this effect was associated with contrasting mechanisms in the two genotypes. In contrast, 240 ppm K was toxic to one genotype but stimulated root and shoot development in the other. The higher K tolerance of the second genotype appeared to be associated with higher levels of K transport from root to shoot. To address the second question, the effects of humic acids and inorganic N, P and K on cannabinoid profiles (Bernstein et al.) throughout the plant were studied using three enhanced nutrition treatments compared to a commercial control treatment. The results of this study confirm that nutrition supplementation in cannabis can contribute to standardize cannabinoid biosynthesis.

Cannabis plants are susceptible to a variety of pathogens (fungal and bacterial) and insect pests that contribute significantly to yield losses. This is a particularly difficult challenge to address due to the nature of hydroponic growing systems where natural predators do not exist, and the use of chemical control strategies is undesirable because of the residues left on flowers. The first step toward developing better pathogen control strategies is to gain a clear picture of the pathogens present in cannabis cultivation. One paper in this volume took stock of pathogens and molds that affect cannabis production (Punja et al.) in indoor hydroponic systems and in field-grown plants and investigated how pathogens are introduced into, spread within, and become established in indoor cultivation systems.

To understand how cannabis production can be improved, we first need to understand if producers are achieving optimum crop yields. This meta-analysis (Backer et al.) showed that current statistics reported by cannabis producers appear to be projections based on facility size—these yields appear to be substantially higher than yields obtained in scientific studies which begs the question of whether these yields are being obtained in industry. If they are, scientists need to collaborate with industry to better understand state-of-the art cultivation methods. If these projected yields are not being obtained, scientists can help determine how to achieve them. To date, the literature suggests that biomass and cannabinoid yields vary considerably depending on variety, plant density, light intensity and fertilization while the meta-analysis also revealed pot size, light type, and duration of the flowering period as predictors of yield and THC accumulation. Another article in this topic considers the role of photobiology in cannabis cultivation (Bilodeau et al.) and highlights the role of light wavelength, intensity and photoperiod on plant photosynthesis and photomorphogenesis through plant photoreceptors. The authors suggest that lighting practices can be improved for cannabis production, for example, by altering the spectra of LED lights to stimulate photoreceptors to maximize cannabis yield and quality while reducing operation costs. Novel inputs can also be developed to improve cannabis yields, such as the application of plant growth-promoting rhizobacteria (PGPR) (Lyu et al.) which have contributed to yield increases in other cultivated crops. For example, members of Bacillus or Pseudomonas may improve cannabis and hemp yield and/or quality via direct growth stimulation, improved nutrient acquisition and/or biological control of pathogens. Finally, propagation of vigorous, uniform plants remains a challenge for the cannabis industry (Chandra et al.) because this crop is dioecious and relies on cross-fertilization for seed production. This article provides a summary of propagation strategies for indoor and outdoor cultivation including vegetative and micropropagation methods.

Breeding Considerations

Another challenge facing the cannabis industry is the need to develop new cultivars with desirable cannabinoid profiles, high productivity and pest resistance, and overall vigor. While polyploidization has been used successfully in hemp breeding, it had not been attempted in cannabis. This volume contains the first recorded application of tetraploid drug-type cannabis lines (Parsons et al.). Fan and sugar leaf sizes were increased on tetraploid clones but these leaves had lower stomata and trichome densities, respectively, compared to diploid clones. While tetraploid clones had higher CBD concentrations in buds and significantly different terpene profiles compared to diploid clones, dry bud yield and THC content were similar. These findings provide a strong footing and a new tool for cannabis breeding programs.

In the case of hemp, yield and quality are largely determined by the cultivar, but environmental factors such as temperature and photoperiod also have strong influences on these parameters. Molecular breeding strategies via a candidate gene approach for the development of cultivars adapted to specific geographical regions (Salentijn et al.) can make use of current phenotypic and genetic data. For example, it appears that several key genes control traits such as flowering behavior and that natural genetic variation may allow for development of varieties with specific flowering times.

Biology of Cannabis

Cannabis is considered a facultative short-day plant: growers use long photoperiods during propagation and vegetative growth phases and induce flowering using shorter photoperiods. However, new research showed that induction of flowering was age-dependent (Spitzer-Rimon et al.) and likely controlled by internal signals rather than photoperiod for two medical cannabis cultivars. They also demonstrated that there is natural variation in cannabis architecture and inflorescence termination and suggest that a short photoperiod results in intense inflorescence branching but is not necessarily responsible for floral initiation. Together these findings suggest that cannabis may be considered under some circumstances as a day-neutral plant and provide a deeper understanding of cannabis inflorescence development.

A major challenge in breeding new cannabis and hemp cultivars lies in the poor understanding of the phylogeographic structure and domestication of cannabis. Zhang et al. described three haplogroups, from wild and domesticated populations or cultivars, which were associated with distinct high-middle-low latitudinal gradient distribution patterns and consistent with the existence of three cannabis subspecies (C. sativa subsp. ruderalis, sativa, and indica). Day-length was found to be the most important factor influencing population structure. The paper also suggests that there are multiregional origins for domesticated cannabis and that cannabis probably originated in a low-latitude region.

Chemical Analysis of Cannabinoids and Terpenoids

There is strong potential for the use of metabolomics, or cannabinomics (Aliferis and Bernard-Perron), to be used in cannabis taxonomy, for example to develop a chemovar classification system. Other possible applications include characterization and discovery of new cannabis-based bioactive molecules for medical use, for food, and for optimizing cannabis cultivation. For example, in this topic, researchers characterized the plasticity of alkyl cannabinoid composition across plant tissues and developmental stages and found a range of di-/tri- cyclic and C3-/C5-alkyl cannabinoids in plants. The composition of cannabinoids varied between plants, however, the chemotype at the vegetative and flowering growth stages were predictive of the chemotype at maturity. The results suggest that there is a low level of plasticity in cannabinoid composition (Welling et al.). Furthermore, liquid chromatography-high-resolution mass spectrometry analysis of ten commercially available organic hemp seed oils revealed the presence of THC, CBD, and 30 other cannabinoids; these were detected for the first time in hemp seed oil (Citti et al.) using an untargeted metabolomic approach. This highlights that we still have much to learn about cannabis chemical composition as we apply new analytic tools to this ancient crop; this knowledge will allow us to improve the pharmaceutical value of medicinal cannabis and the health properties of hemp-based foods.

Author Contributions

RB and DS developed the overall concept. RB wrote the first complete draft. GM, OW, and ME provided input and comments to the draft. DS provided input and feedback on subsequent drafts. All authors contributed to the article and approved the submitted version.

Funding

RB and DS received funding from a Collaborative Research and Development grant, Enhanced yield and cannabinoid production of homogenous medical marijuana plants (award number 517552-17), from the Natural Science and Engineering Council of Canada in collaboration with Ravenquest Biomed. GM received funding from MAIDET which is funded by Mipaaf (Italian Ministry of Agricultural and Food Politics).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We are grateful for the contributions to this Research Topic made by Frontiers editorial staff members Ines Pires and Jared Fudge. We also thank the reviewers who provided valuable input for each manuscript.

References

Aubin, M.-P., Seguin, P., Vanasse, A., Tremblay, G. F., Mustafa, A. F., and Charron, J.-B. (2015). Industrial hemp response to nitrogen, phosphorus, and potassium fertilization. Crop Forage Turfgrass Manag. 1, 1–10. doi: 10.2134/cftm2015.0159

CrossRef Full Text | Google Scholar

Campiglia, E., Radicetti, E., and Mancinelli, R. (2017). Plant density and nitrogen fertilization affect agronomic performance of industrial hemp (Cannabis sativa L.) in Mediterranean environment. Ind. Crops Prod 100, 246–254. doi: 10.1016/j.indcrop.2017.02.022

CrossRef Full Text | Google Scholar

Caplan, D., Dixon, M., and Youbin, Z. (2017). Optimal rate of organic fertilizer during the vegetative-stage for cannabis grown in two coir-based substrates. HortScience 52, 1307–1312. doi: 10.21273/HORTSCI11903-17

CrossRef Full Text | Google Scholar

Choi, Y. H., Hazekamp, A., Peltenburg-Looman, A. M., Frederich, M., Erkelens, C., Lefeber, A. W., et al. (2004a). NMR assignments of the major cannabinoids and cannabiflavonoids isolated from flowers of Cannabis sativaPhytochem. Anal. 15, 345–354. doi: 10.1002/pca.787

PubMed Abstract | CrossRef Full Text | Google Scholar

Choi, Y. H., Kim, H. K., Hazekamp, A., Erkelens, C., Lefeber, A. W., and Verpoorte, R. (2004b). Metabolomic differentiation of Cannabis sativa cultivars using 1H NMR spectroscopy and principal component analysis. J. Nat. Prod. 67, 953–957. doi: 10.1021/np049919c

PubMed Abstract | CrossRef Full Text | Google Scholar

Datwyler, S. L., and Weiblen, G. D. (2006). Genetic variation in hemp and marijuana (Cannabis sativa L.) according to amplified fragment length polymorphisms. J. Foren. Sci. 51, 371–375. doi: 10.1111/j.1556-4029.2006.00061.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Dufresnes, C., Jan, C., Bienert, F., Goudet, J., and Fumagalli, L. (2017). Broad-scale genetic diversity of cannabis for forensic applications. PLoS ONE 12:e0170522. doi: 10.1371/journal.pone.0170522

PubMed Abstract | CrossRef Full Text | Google Scholar

Finnan, J., and Burke, B. (2013a). Nitrogen fertilization to optimize the greenhouse gas balance of hemp crops grown for biomass. GCB Bioenergy 5, 701–712. doi: 10.1111/gcbb.12045

CrossRef Full Text | Google Scholar

Finnan, J., and Burke, B. (2013b). Potassium fertilization of hemp (Cannabis sativa). Industrial Crops Products 41, 419–422. doi: 10.1016/j.indcrop.2012.04.055

CrossRef Full Text | Google Scholar

Fischedick, J. T., Hazekamp, A., Erkelens, T., Choi, Y. H., and Verpoorte, R. (2010). Metabolic fingerprinting of Cannabis sativa L., cannabinoids and terpenoids for chemotaxonomic and drug standardization purposes. Phytochemistry 71, 2058–2073. doi: 10.1016/j.phytochem.2010.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Flores-Sanchez, I. J., Linthorst, H. J., and Verpoorte, R. (2010). In silicio expression analysis of PKS genes isolated from Cannabis sativa L. Genet. Mol. Biol. 33, 703–713. doi: 10.1590/S1415-47572010005000088

PubMed Abstract | CrossRef Full Text | Google Scholar

Flores-Sanchez, I. J., and Verpoorte, R. (2008). PKS activities and biosynthesis of cannabinoids and flavonoids in Cannabis sativa L. plants. Plant Cell Physiol 49, 1767–1782. doi: 10.1093/pcp/pcn150

PubMed Abstract | CrossRef Full Text | Google Scholar

Gilmore, S., Peakall, R., and Robertson, J. (2003). Short tandem repeat (STR) DNA markers are hypervariable and informative in Cannabis sativa: implications for forensic investigations. Forensic. Sci. Int. 131, 65–74. doi: 10.1016/S0379-0738(02)00397-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Happyana, N. (2014). Metabolomics, proteomics, and transcriptomics of Cannabis sativa L. trichomes. Dortmund: Universitätsbibliothek Dortmund.

PubMed Abstract | Google Scholar

Happyana, N., and Kayser, O. (2016). Monitoring Metabolite Profiles of Cannabis sativa L. Trichomes during Flowering Period Using 1H NMR-Based Metabolomics and Real-Time PCR. Planta Med. 82, 1217–1223. doi: 10.1055/s-0042-108058

PubMed Abstract | CrossRef Full Text | Google Scholar

Hazekamp, A., and Fischedick, J. T. (2012). Cannabis – from cultivar to chemovar. Drug Testing Analysis 4, 660–667. doi: 10.1002/dta.407

PubMed Abstract | CrossRef Full Text | Google Scholar

Hazekamp, A., Tejkalov,á, K., and Papadimitriou, S. (2016). Cannabis: from cultivar to chemovar ii—a metabolomics approach to cannabis classification. Cannab. Cannab. Res. 1, 202–215. doi: 10.1089/can.2016.0017

CrossRef Full Text | Google Scholar

Howard, C., Gilmore, S., Robertson, J., and Peakall, R. (2009). A Cannabis sativa STR genotype database for Australian seizures: forensic applications and limitations. J. Forensic Sci. 54, 556–563. doi: 10.1111/j.1556-4029.2009.01014.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Lydon, J., Teramura, A. H., and Coffman, C. B. (1987). UV-B radiation effects on photosynthesis, growth and cannabinoid production of two cannabis sativa chemotypes. Photochem. Photobiol. 46, 201–206. doi: 10.1111/j.1751-1097.1987.tb04757.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Mahlberg, P. G., and Kim, E. S. (2004). Accumulation of cannabinoids in glandular trichomes of Cannabis (Cannabaceae). J. Industr. Hemp 9, 15–36. doi: 10.1300/J237v09n01_04

CrossRef Full Text | Google Scholar

Mansouri, H., and Asrar, Z. (2012). Effects of abscisic acid on content and biosynthesis of terpenoids in Cannabis sativa at vegetative stage. Biol. Plant. 56, 153–156. doi: 10.1007/s10535-012-0033-2

CrossRef Full Text | Google Scholar

Mansouri, H., Asrar, Z., and Amarowicz, R. (2011). The response of terpenoids to exogenous gibberellic acid in Cannabis sativa L. at vegetative stage. Acta Physiol. Plant. 33, 1085–1091. doi: 10.1007/s11738-010-0636-1

CrossRef Full Text | Google Scholar

Mansouri, H., Asrar, Z., and Mehrabani, M. (2009a). Effects of gibberellic acid on primary terpenoids and δ9-tetrahydrocannabinol in Cannabis sativa at flowering stage. J. Integr. Plant Biol. 51, 553–561. doi: 10.1111/j.1744-7909.2009.00833.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Mansouri, H., Asrar, Z., and Szopa, J. (2009b). Effects of ABA on primary terpenoids and Δ9-tetrahydrocannabinol in Cannabis sativa L. at flowering stage. Plant Growth Regul. 58, 269–277. doi: 10.1007/s10725-009-9375-y

CrossRef Full Text | Google Scholar

Mansouri, H., and Rohani, M. (2014). Response of Cannabis sativa L. to foliar application of 2-chloro-ethyl-trimethyl-ammonium chloride. Plant Physiol. 5, 1225–1233.

Google Scholar

Mansouri, H., and Salari, F. (2014). Influence of mevinolin on chloroplast terpenoids in Cannabis sativaPhysiol. Mol. Biol. Plants 20, 273–277. doi: 10.1007/s12298-014-0222-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Mansouri, H., Salari, F., and Asrar, Z. (2013). Ethephon application stimulats cannabinoids and plastidic terpenoids production in Cannabis sativa at flowering stage. Industr. Crops Products 46, 269–273. doi: 10.1016/j.indcrop.2013.01.025

CrossRef Full Text | Google Scholar

Mansouri, H., Salari, F., Asrar, Z., and Nasibi, F. (2016). Effects of ethephon on terpenoids in Cannabis sativa L. in vegetative stage. J. Essential Oil Bearing Plants 19, 94–102. doi: 10.1080/0972060X.2015.1004122

CrossRef Full Text | Google Scholar

Marks, M. D., Tian, L., Wenger, J. P., Omburo, S. N., Soto-Fuentes, W., He, J., et al. (2009). Identification of candidate genes affecting Δ9-tetrahydrocannabinol biosynthesis in Cannabis sativaJ. Exp. Botany 60, 3715–3726. doi: 10.1093/jxb/erp210

PubMed Abstract | CrossRef Full Text | Google Scholar

McKernan, K. J., Helbert, Y., Kane, L. T., Ebling, H., Zhang, L., Liu, B., et al. (2020). Sequence and annotation of 42 cannabis genomes reveals extensive copy number variation in cannabinoid synthesis and pathogen resistance genes. bioRxiv [Preprint]. 894428. doi: 10.1101/2020.01.03.894428

CrossRef Full Text | Google Scholar

Muntendam, R., Happyana, N., Erkelens, T., Bruining, F., and Kayser, O. (2012). Time dependent metabolomics and transcriptional analysis of cannabinoid biosynthesis in Cannabis sativa var. bedrobinol and bediol grown under standardized condition and with genetic homogeneity. Online Int. J. Med. Plant Res. 1, 31–40.

Google Scholar

Pacifico, D., Miselli, F., Carboni, A., Moschella, A., and Mandolino, G. (2008). Time course of cannabinoid accumulation and chemotype development during the growth of Cannabis sativa L. Euphytica 160, 231–240. doi: 10.1007/s10681-007-9543-y

CrossRef Full Text | Google Scholar

Rotherham, D., and Harbison, S. (2011). Differentiation of drug and non-drug Cannabis using a single nucleotide polymorphism (SNP) assay. Forensic Sci. Int. 207, 193–197. doi: 10.1016/j.forsciint.2010.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Sawler, J., Stout, J. M., Gardner, K. M., Hudson, D., Vidmar, J., Butler, L., et al. (2015). The genetic structure of marijuana and hemp. PLoS ONE 10:e0133292. doi: 10.1371/journal.pone.0133292

PubMed Abstract | CrossRef Full Text | Google Scholar

Sutipatanasomboon, A., and Panvisavas, N. (2011). Discrimination of ‘fiber-type’and ‘drug-type’Cannabis sativa L. by fluorescent duplex PCR. Foren. Sci. Int. Genet. Suppl. Series 3, e522–e523. doi: 10.1016/j.fsigss.2011.10.008

CrossRef Full Text | Google Scholar

Van Bakel, H., Stout, J. M., Cote, A. G., Tallon, C. M., Sharpe, A. G., Hughes, T. R., et al. (2011). The draft genome and transcriptome of Cannabis sativaGenome Biol. 12:R102. doi: 10.1186/gb-2011-12-10-r102

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: cannabinoids, cultivar development, photobiology, fertilizer application, plant pathology, plant growth-promoting rhizobacteria, polyploid, flower induction

Citation: Backer R, Mandolino G, Wilkins O, ElSohly MA and Smith DL (2020) Editorial: Cannabis Genomics, Breeding and Production. Front. Plant Sci. 11:591445. doi: 10.3389/fpls.2020.591445

Received: 04 August 2020; Accepted: 22 September 2020;
Published: 30 October 2020.

Edited by:

Youssef Rouphael, University of Naples Federico II, Italy

Reviewed by:

Cristian Silvestri, University of Tuscia, Italy

Copyright © 2020 Backer, Mandolino, Wilkins, ElSohly and Smith. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Donald L. Smith, Donald.Smith@McGill.Ca

Leave a Reply