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Canna~Fangled Abstracts

Comparative genomics of flowering behavior in Cannabis sativa

By July 14, 2023August 22nd, 2023No Comments


Abstract

Cannabis sativa L. is a phenotypically diverse and multi-use plant used in the production of fiber, seed, oils, and a class of specialized metabolites known as phytocannabinoids. The last decade has seen a rapid increase in the licit cultivation and processing of C. sativa for medical end-use. Medical morphotypes produce highly branched compact inflorescences which support a high density of glandular trichomes, specialized epidermal hair-like structures that are the site of phytocannabinoid biosynthesis and accumulation. While there is a focus on the regulation of phytocannabinoid pathways, the genetic determinants that govern flowering time and inflorescence structure in C. sativa are less well-defined but equally important. Understanding the molecular mechanisms that underly flowering behavior is key to maximizing phytocannabinoid production. The genetic basis of flowering regulation in C. sativa has been examined using genome-wide association studies, quantitative trait loci mapping and selection analysis, although the lack of a consistent reference genome has confounded attempts to directly compare candidate loci. Here we review the existing knowledge of flowering time control in C. sativa, and, using a common reference genome, we generate an integrated map. The co-location of known and putative flowering time loci within this resource will be essential to improve the understanding of C. sativa phenology.

Keywords: Cannabis sativa, flowering time, genomics, MADS-box, PEBP (phosphatidylethanolamine-binding)

Introduction

Cannabis sativa L. is a monotypic, predominantly dioecious, annual herb of the Cannabaceae family (). Plants are diploid (2n = 20) with an estimated haploid genome of 818 Mb for females and 843 Mb for males (). C. sativa has been cultivated in Eurasia for several thousand years and is now cultivated globally () due to its industrial (), ornamental (), nutritional (), medicinal, and recreational () applications. The genus Cannabis is widely accepted as comprising of a single species, C. sativa L. (Linnaeus), with highly polymorphic subspecies, sativaindica, and ruderalis differing in phenotypic characteristics (). For regulatory and agronomic purposes, C. sativa plants are classified based on the level of the phytocannabinoid intoxicant Δ9-tetrahydrocannabinol (Δ9-THC). Plants grown for industrial uses, such as those used for textiles and food, have a limited concentration of Δ9-THC. The level of Δ9-THC allowed in industrial-use plants can vary depending upon the jurisdiction but is typically between 0.2-1% (). Plants containing less than 0.3% Δ9-THC in dried flower are generally classified and regulated as industrial hemp, with plants that exceed this threshold classified as drug-type (). Plants grown for fiber are typically taller and have less branching than drug-type plants grown for medicinal or recreational end-use (). In contrast to industrially grown forms of C. sativa, drug-type plants are generally grown in controlled (indoor) environments, have compact inflorescences and exhibit greater stability in chemical profile (). Biological activity of C. sativa is associated with the chemical constituents it produces, with phytocannabinoids such as cannabidiol (CBD) and Δ9-THC principally associated with medicinal effects ().

Flowering is characterized by the transition from a shoot apical meristem to a floral meristem, which gives rise to a single flower or cluster of flowers, known as an inflorescence (). An inflorescence is regarded as the reproductive part of the plant and can be comprised of the branches which bear the flowers and accessory structures (). The flowering process is a progressive sequence of physiological changes and developmental events, consisting of four key stages; floral initiation, floral organization, floral maturation, and anthesis [reviewed in ()]. Floral initiation is characterized by the formation of floral primordia and marks the end of the vegetative phase. During floral organization, differentiation of individual floral parts takes place, with changes in the shoot apical meristem initiated by physiological and molecular changes in other parts of the plant (). Floral maturation follows and this includes the formation of spore-producing tissues. The final stage is anthesis where flowers release pollen and styles have developed. The timing of flowering is essential to maximize reproductive success (), and the activation of floral meristem identity genes can be triggered by different pathways, including photoperiod-dependent, temperature-dependent (including vernalization), age-dependent (autonomous) and phytohormone-dependent (e.g., gibberellic acid (GA)) flowering pathways [reviewed in ()]. For many plant species, flowering competency and responsiveness is contingent upon development from the juvenile to adult stage, even in the presence of inductive cues (). Interest in understanding the molecular components governing C. sativa flowering has accelerated over the last decade as jurisdictions amend legislation which constrained commercial production and scientific research (). Despite these developments, C. sativa remains an under-researched crop, with the genetic mechanisms governing its flowering pathways still largely undefined.

Here we examine the current knowledge of flowering time control in C. sativa and combine data from multiple sources using a common reference genome. This comparison of data from several quantitative trait loci (QTL) analyses and genome-wide association studies (GWAS) highlights key regions of the genome that contain putative regulators of flowering that have not yet been linked to flowering behavior in C. sativa. The current models for flowering time control are also described in the context of C. sativa flowering behavior and putative candidate flowering time genes are functionally classified by comparative analysis with known flowering time gene families.

Materials and methods

C. sativa growth conditions

All C. sativa plants were grown under an Authority for Low THC Cannabis, Authority Number 2019/01, issued by Agriculture Victoria. Plants were grown in controlled environment rooms at 24°C with 55% humidity using Philips metal halide lighting at ~415 µmol m-2s-1 (short-day) and ~150 µmol m-2s-1 (long-day). The plants used in Figure 1 were grown from seeds, individually sown at a depth of 1.5 cm in soil media consisting of one-part perlite, one-part peat moss, and one-part vermiculite, with dolomite (1 g L-1). Seeds were sprayed with reverse osmosis (RO) water daily. Seedlings were transplanted into 500 ml pots 8 days post-sowing and then into 8 L pots at 31-33 days post-sowing. Seedlings were held in long-day (LD) conditions (18/6 h light/dark) for ~24 hours after transplant into 500ml pots, before transfer to short-day (SD) conditions (12/12 h light/dark). Plants were imaged after 40 days in SD conditions. Plants in LD conditions were watered daily using RO water supplemented with 0.4% (v/v) CANNA Classic Vega A and 0.4% (v/v) CANNA Classic Vega B. Plants in SD conditions were watered daily using 0.4% (v/v) Canna Classic Flores A and 0.4% (v/v) Canna Classic Flores B in RO water.

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Variation in flowering and phenotypic characteristics of female hemp plants (Cannabis sativa L.): (A) Cannabis flowering time displays a strong latitudinal gradient for genotypes grown in a uniform environment The horizontal grey line indicates the latitude at which flowering time of different C. sativa varieties (indicated by the red dots) was assessed (25°N) under field conditions in natural short-day (SD) conditions (12-13 hours of daylight). Data adapted from  and . Photoperiod-insensitive (Autoflowering) cultivar Katani (B) and photoperiod-responsive cultivar Bama 4 (C) seven weeks post-sowing, after 40 days in SD, flower-inducing conditions. Scale bars are 23 cm.

Plants used in Figure 2 were grown from seed, as described above (Figures 2A, B, DC. sativa var. Katani), and a cutting (Figure 2CC. sativa var. Bama 4) in LD conditions, as described below. Flowers used in Figure 3 were sampled from clones from C. sativa var. Bama 4. The cuttings were rooted in GRODAN rockwool cubes using CLONEX purple rooting hormone and held vegetatively for 26 days under LD conditions. Five days before transfer to SD conditions, cuttings were transplanted into 1.15 L pots with soil media as described above. Flower samples were imaged using a Leica M80 dissecting microscope, fitted with a TL3000 Ergo light source.

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Terminal and solitary flowering phenotypes in Cannabis sativa L. (A) Staminate male flowers on an autoflowering C. sativa plant (Katani) in LD conditions (imaged 23 days post-sowing). (B) Pistillate female flowers on an autoflowering C. sativa plant (Katani) in SD conditions (imaged 51 days post-sowing, after 28 days in LD and 23 days in SD conditions). (C) Vegetative C. sativa anatomy at a basal node of a C. sativa plant (Bama) in LD conditions, depicting the axil of the stipule (axs), stipule (stp), axillary branch (axb), petiole (pet), and stem (stm). (D) Solitary flowers (stigma, style, perigonal bract and stipule) at the 6th node of a C. sativa plant (Katani) flowering in LD conditions (imaged 37 days post-sowing), depicting the perigonal bract (pbr), stipules (stp), axillary branches (axb), petioles (pet), stem (stm), and pistils (pst; stigmas and style). Scale bars in (AB) are 1 cm and scale bars in (C, D) are 2 cm.

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Development and flowering in Cannabis sativa L. (A) An illustration of select decimal growth stages in female hemp plants (Cannabis sativa L.), including germination and emergence (0000-0003), early vegetative stage (1002-1008), late vegetative stage (1010-10xx), and flowering (2000-2202) (). Schematic diagrams informed by (B) Flower development in female hemp plants (Cannabis sativa L.) propagated from cuttings. Left to right: Day 19, 20, 21, 23, 26, 27, 28, where ‘Day’ is a measure of the number of days in a SD photoperiod. Each flower was sampled from an individual clone at the apex of an axillary branch at the third node, at the same time of day for the period 19-29 days after transfer to SD conditions (24°C and 55% relative humidity). Scale bars are 1 mm for Days 19 & 20 and 2 mm for Days 21-29. (C) Comparative time (days) spent in the three principal growth stages, germination and emergence, vegetative stage (early & late), and flowering (), for autoflowering and photoperiod-responsive female hemp plants in LD and SD conditions (24°C and 55% relative humidity). The flowering stage is divided into the time between solitary flower induction and terminal flower induction (solitary flowering) and the time between terminal flower induction and 95% seed maturity (terminal flowering). The yellow arrow indicates the point after which solitary flowers may form on photoperiod responsive plants in LD conditions.

Mapping of GWAS and QTL markers

In a previous GWAS analysis, Petit et al., () (Table 1) mapped RADSeq markers to scaffolds of the ‘Purple Kush’ genome (canSat3, GCA_00230575.1). The Purple Kush genome is highly fragmented and consists of 12,836 scaffolds (). To improve on this approach and to unify data from different studies, we identified those scaffolds in the ‘Purple Kush’ genome with SNP markers significantly associated with flowering (LOD scores > 4) () and aligned them to the cs10/CBDRx v2 reference genome (annotated from genotype CBDRx:18:580, GCF_900626175.2) using Minimap v2.17 (). Aligned regions containing markers were identified and plotted as separate tracks on a cs10 chromosome karyotype plot using Circos v 0.69-9 (), indicating the association statistic (LOD score) for flowering traits: ‘Beginning of flowering’, ‘Full flowering’, and ‘Length of vegetative phase’ scored at three distinct environments.

Table 1

Summary of flowering time studies in Cannabis sativa.

Study Type Description Reference Genome Reference
BSA Autoflower1: F2 plants derived from Otto II (late, photoperiod sensitive) x KG9202 (autoflowering).
Autoflower1: Segregating in the ‘TJ CBG’ population.
Early1: Segregating in the ‘Umpqua’ cultivar.
cs10/CBDRx v2 (GCF_900626175.2)
BSA Three F2 populations, with one autoflowering parent, scored for flowering in Oregon USA. Abacus (GCA_025232715.1).
GWAS RAD Seq using 123 hemp accessions, grown in three locations across Europe. canSat3/PK (GCA_0002307575.1)
QTL 372 F2 plants derived from a USO-31 (early/autoflowering) x Carmagnola (late) cross, grown in field in Colorado, USA. Finola (GCA_003417725.2)
Gene Expression RNASeq analysis of pre- and flowering-nodes in photoperiod-independent Volcani Line #213. cs10/CBDRx v2 (GCF_900626175.2)
Gene Expression qRT-PCR expression of selected flowering-time genes in two wild and two cultivated varieties. N.A.
Gene Expression qRT-PCR expression of COL genes in four hemp varieties. N.A.
Phenotyping Genetically diverse female hemp plants crossed with ‘TJ’s CBD’ to generate 17 common families.
Six families produced using two inbred S1 selections of ‘TJ’s CBD’.
N.A.
GWAS
Gene Expression
192 F2 plants (auto-flowering x photoperiod sensitive) grown indoors and genotyped using a SeqSNP chip with 5,000 custom markers
RNA-Seq performed on samples taken from 54 F2 plants segregating for the auto-flowering trait grown under LD conditions
Purple Kush (ASM23057v4)
Phenotyping Controlled crosses using tetraploid parents of CBD-dominant cannabis photoperiod-sensitive cultivars Kentucky Sunshine, Wife, and Abacus (non-tetraploid) and autoflowering cultivars Purple Star, Tsunami, and Wilhelmina N.A.
BSA 245 F2 plants resulting from ‘Felina 32’ × ‘FINOLA’ F1 offspring from four F1 female individuals (one male F1 pollen donor) grown under natural glasshouse conditions (long days, Dublin, Ireland, June-September 2020). Finola (GCA_003417725.2)

BSA, bulked segregant analysis; GWAS, genome wide association study; QTL, quantitative trait loci; N.A, not applicable.

A similar approach was used to map USO-31/Carmagnola QTLs described by  to the cs10/CBDRx v2 reference genome (Table 1). Regions containing USO-31/Carmagnola polymorphic SNP markers positioned in the ‘Finola’ genome (GCA_003417725.2) were positioned in the cs10/CBRDx v2 using Minimap 2, as above, to define the endpoints and peaks of the four ‘Days to Maturity’ (DTM.1 through DTM.4) QTLs.

Genomic coordinates were extracted and plotted for the genes identified by  as under selection using cs10/CBDRx2 reference genome protein accessions. Candidate flowering time gene protein sequences reported in the cs10/CBDRx v1 annotation (GCA_900626175.1) that did not correspond to the protein accessions in the cs10/CBDRx v2 annotation were translated and aligned to the cs10/CBDRx v2 genome. Four gene models: evm.model.01.2361 (LD), evm.model.04.2071 (EMF1), evm.TU.01.2503 (FPF) and evm.TU.08.543 (FES1) did not correspond to the reported putative flowering time genes and these were excluded.

Flowering gene identification

Arabidopsis Gene Initiative (AGI) locus codes for 306 ‘flowering time’ and 72 ‘pending flowering time’ protein-encoding gene candidates from Arabidopsis thaliana were obtained from FLOR-ID () (accessed on 19 September 2022). Corresponding protein sequences for these A. thaliana genes were obtained from The Arabidopsis Information Resource (TAIR; https://www.arabidopsis.org/). For microRNAs, nucleotide sequences were used. DIAMOND v0.9.24 () was used to compare these A. thaliana sequences to the proteome of C. sativa cs10/CBDRx v2 (GCF_900626175.2) and the best hits with greater than 90% identity were identified as likely orthologs. The longest isoform for each candidate was taken as the corresponding C. sativa cs10/CBDRx v2 ortholog. The microRNA nucleotide sequences for csa-miR156, 159a – b, and 172a – g miRNAs were retrieved via BLASTn analysis of the cs10/CBDRx v2 genome ().

To validate this flowering gene identification approach, and to identify additional homologs, we also conducted an Orthofinder analysis () using the same C. sativa cs10/CBDRx v2 and A. thaliana predicted proteomes. The cs10/CBDRx v2 genome annotation was then further manually examined and additional putative flowering time genes with the keyword annotation ‘flowering’, ‘flower’, ‘time’, ‘circadian’, ‘day’, ‘clock’, and ‘vernalization’ were extracted. Genes were classified using the previously defined categories (). C. sativa genes with no clear ortholog in A. thaliana were assigned to the category of the most similar A. thaliana protein, based on the Orthogroup analysis using Orthofinder. Locations of the C. sativa flowering time genes in the C. sativa genome were plotted using Circos ().

MADS gene phylogenetic analysis

As the annotation for cs10/CBDRx v2 MADS genes is incomplete, and to resolve the relationships between MADS-domain members, we identified all MADS genes in the cs10/CBDRx v2 genome. An initial search utilized three A. thaliana Type I MADS genes (AT1G01530, AT1G31630, AT5G49490) and three A. thaliana Type II MADS genes (AT1G24260, AT5G23260, AT5G60910) to represent each subgroup of the MADS box gene family (). The cs10/CBDRx v2 genome was searched using protein, translated nucleotide and nucleotide BLAST (blastp, tblastx and tblastn) analyses. Duplicate sequences were removed. All C. sativa MADS protein sequences (Supplementary Tables S1S2) were aligned using Clustal Omega in Geneious Prime 2022.0 () and tentatively assigned to clades. Any proteins not containing a complete MADS domain were excluded. An alignment was then generated using Clustal Omega v1.2.4 to assign the CsMADs proteins, including A. thaliana and Vitis vinifera predicted protein sequences (), to a clade. The best-fit amino acid substitution model (JTT+R10) was identified using IQ-Tree, and a Maximum Likelihood phylogenetic tree was generated using IQ-TREE 1.6 () (Supplementary Figure S1). A tree of only the Type II sequences was also generated using the aforementioned parameters. Phylogenetic trees were exported to iTOL for visualization (). Details of the accession numbers and clade assignment of CsMADS genes are in Supplementary Table S2.

PEBP gene phylogenetic analysis

To resolve the relationships between PEBPs-domain members, we identified all PEBP-encoding genes in the cs10/CBDRx v2 genome using tblastn and A. thaliana FT (AT1G65480), TFL (AT5G03840), MFT (AT1G18100) and BFT (AT5G62040) protein query sequences. The C. sativa PEBP family protein sequences were aligned with PEBP proteins from A. thaliana, tomato (Solanum lycopersicon; ()), and Chrysanthemum seticuspe (() using Clustal Omega v1.2.4 (). Phylogenetic trees were exported to iTOL for visualization (). Full details of all protein accession numbers are in Supplementary Table S2. For clarity, here we have used the nomenclature suggested by 

Analysis of protein-protein interactions

Protein sequences for 459 C. sativa cs10/CBDRx v2 flowering time gene candidates were imported into the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database (v.11.5) () to generate protein-protein interaction networks. A short-list of 26 proteins from 6 categories of interest was generated using the following parameters: full STRING network, experiments and co-expression data, medium confidence (0.400) (Supplementary Figure S2).

Expression analysis

C. sativa RNA-Seq datasets were retrieved from the European Nucleotide Archive Sequences were sourced from  and . Data from unpublished studies from the University of British Columbia (2020) and Michigan State University (2011) were also used. A full list of RNA-Seq data used in this study is available in Supplementary Table S3. RNA sequencing reads were checked for quality using FastQC (v0.11.9) and MultiQC (v1.12) (). kallisto (v. 0.46.2) () was used for transcript abundance estimation and quantification based on pseudoalignment with the C. sativa cs10/CBDRx v2 reference. Sleuth (v. 0.30.0) () was used to quantify Transcripts per Million (TPM) for each gene. Sample replicates were averaged. Gene expression was visualized using pheatmap function in R, following a logarithm (log2(TPM+1)) transformation ().

Flowering time regulation

Diversity of flowering behavior in C. sativa

The photoperiodic induction of flowering (photoperiodism) can be used to classify plants as short-day (SD) plants, long-day (LD) plants and day-neutral plants. In SD plants, flowering occurs after periods of uninterrupted darkness, while in LD plants, flowering occurs in response to light periods longer than a certain critical length. C. sativa is considered a quantitative SD plant, with genotypes displaying a range of photoperiod thresholds for floral initiation (). Some genotypes have been reported to flower under 18 h of daylight (), while most indoor commercially grown C. sativa plants require a 10-12 h uninterrupted dark period to induce flowering (). Cannabinoid yields can be affected by lengthening the light period during flowering (). THC producing lines, ‘Hindu Kush’ and ‘Northern Lights’, under a static 14 h light:10 h dark photoperiod showed a decline in THC concentration while plants from a CBD-producing line, ‘Cannatonic’, showed increases in CBD concentration (). The time to visible floral induction under a short photoperiod can occur in as little as 1-2 weeks (), with an increase in plant age at the time of transition reported to accelerate floral transition (). Plants from the putative subspecific taxonomic grouping C. sativa var. ruderalis are reported to differ from the photoperiod-sensitive C. sativa var. sativa and C. sativa var. indica subspecies, with flowering induced in response to maturity (e.g., autoflowering) (). The vegetative-to-reproductive phase transition is indicated by the development of de novo solitary flowers and is thought to be regulated by internal signals (). Ruderalis type plants are termed ‘autoflowering’, owing to their day-neutral flowering behavior, and these genotypes are thought to be responsible for the ‘autoflower’ trait in C. sativa populations (). It has been proposed that this trait follows a recessive, Mendelian pattern of inheritance, however, there is limited peer-reviewed research on this topic ().

Adaptation to latitude appears to have contributed to changes in growth habit and sensitivity to photoperiodic induction. Plants can be classified into three genotypically distinct flowering time groups; early, intermediate, and late flowering. Early flowering genotypes grown for industrial end-uses can flower 40-60 days after sowing, intermediate after 60-90 days, and late after 90-120 days (). Early and intermediate genotypes are reported to have been bred at northern latitudes, with short growing seasons and long summer daylengths (Figure 1A). Cultivars adapted to higher latitude conditions flower earlier in lower latitudes where days are shorter, this can result in reduced biomass due to shortened growth duration (). Conversely, cultivars bred at low latitude are reported to have increased fiber yields when cultivated at higher latitudes (), where the long vegetative growth, resulting from late flowering time, leads to greater stem biomass production. Our analysis of data from  and  comparing latitude of origin and flowering time (days) of genotypes grown in a uniform environment shows a strong negative correlation which supports the notion that plants bred at higher latitudes exhibit earlier flowering behavior (Figure 1A). We also flowered two industrial hemp genotypes in a 12 h light 12 h dark photoperiod under controlled environment conditions to highlight differences in plant morphology and flowering behavior (Figures 1B, C). The genotype bred at a higher latitude (Figure 1BC. sativa var. Katani, Canada) exhibited earlier flowering behavior and reductions in orders of branching, plant height and biomass. In comparison, the lower latitude genotype (Figure 1CC. sativa var. Bama 4, China) flowered later, with greater orders of branching, increased plant height, and biomass.

Floral morphology and inflorescence structure

Sexual dimorphism is an important characteristic which has consequences for yield and the chemical composition of C. sativa plants (). C. sativa has nine pairs of homomorphic autosomal chromosomes and a pair of heteromorphic sex chromosomes. Plants are usually diecious with distinct male and female plants (Figures 2A, B), however, plasticity in sexual phenotype can lead to hermaphrodite plants, also known as monecious phenotypes (). Male plants (XY) typically flower earlier than female plants (XX) (), possibly indicating that there are genes on the Y chromosome that accelerate flowering and/or repressors of flowering on the X chromosome, or that flowering time may be regulated by plant hormones involved in sex differentiation, such as gibberellic acid or ethylene (). Male plants produce pollen in hanging inflorescences and female plants produce pistillate flowers in dense clusters, separated by leafy bracts, while the morphology of monecious plants resembles that of female plants prior to the production of male flowers (). Monoecious hemp accessions can be classified at flowering by their ratio of developed male to female flowers, which varies by cultivar and environment (). In addition to producing separate male and female flowers on a single plant, C. sativa can also produce bisexual flowers (). The transition of C. sativa plants from vegetative growth to flowering can be indicated by the formation of undifferentiated primordia in the axils of stipules (protective structures, adjacent to the axillary buds () (Figures 2C, D), and, in some instances, by change of phyllotaxis from opposite to alternate () (Figure 3A; Stage 2000). After the appearance of floral primordia, dioecious male plants will form staminate flowers while female plants will develop bracts with no styles, which signifies the development of female flowers () (Figure 3A; Stage 2200).

Defining the transition from vegetative to inflorescence flowering in C. sativa is complicated by the appearance of solitary flowers (Figure 2D). While a long photoperiod is considered ‘non-inductive’ for C. sativa plants, the development of solitary flowers in shoot internodes demonstrates that these plants are not strictly vegetative (). For C. sativa plants grown under a long photoperiod, differentiation of the first solitary flowers at the fourth to sixth internodes can occur (). The induction of these solitary flowers is thought to be age-dependent and controlled by internal signals, as opposed to photoperiod ().  observed changes in the transcriptomic profile of flowering-related genes among nodes 4, 6, and 7 in female C. sativa seedlings grown under LD conditions. Flowering inducers (such as MOTHER OF FT (MFT), SUPPRESSOR OF OVEREXPRESSION OF CONSTANS 1 (SOC1), LEAFY (LFY), and APETALA1 (AP1)) were upregulated while flowering repressors (such as TEMPRANILLO (TEM), TERMINAL FLOWER1 (TFL1), and BROTHER OF FT AND TFL1 (BFT) were downregulated and age-related orthologs (such as SQUAMOSA-PROMOTER BINDING PROTEIN-LIKE (SPL)s, see below) were activated in C. sativa. Given that solitary flowers can develop under both long and short photoperiods, it has been proposed that C. sativa is day-neutral in this aspect of flower-induction (). Further research directly comparing the timing of induction of solitary flowers in Cannabis plants grown under short and long days is required to determine whether the appearance of solitary flowers is photoperiod independent. It is still unclear as to whether the induction of solitary flowers signifies the end of the vegetative phase, as vegetative growth can continue at the SAM for the period between emergence of solitary flowers and terminal flowering at the shoot apex (Figure 3A; Stages 2201 – 2202).

Inflorescence flowering is marked by changes in the architecture of the shoot apex, which forms a highly branched compound raceme consisting of condensed branchlets and repeating phytomer structures (Figures 2B3A; Stage 2202). These phytomer structures consist of an internode, foliage leaf (supported by a petiole), bracts, and solitary flowers (stigma, style, perigonal bract and stipule) (Figures 2D3A; Stage 2201) (). Proliferation of these phytomer structures leads to the development of floral buds (Figure 3B), the main cultivation product of medicinal cannabis (). The compact nature of inflorescences can vary between genotypes and is affected by environmental stimuli, including light spectrum and intensity (). While C. sativa is considered a short-day plant, some varieties exhibit photoperiod-independent flowering behavior (Figure 3C; ‘autoflowering’), producing flowers in response to maturity (). Similarly, not all plants will form terminal flowers at the apical meristem, even after several months of inflorescence flowering under inductive SD conditions (). These inconsistencies in flowering behavior indicate that the molecular mechanisms underlying floral initiation and inflorescence structure have a high level of heterogeneity in C. sativa.

The complexity of the morphophysiological characteristics associated with flowering behavior in C. sativa has led to inconsistencies in nomenclature and in the reporting of these traits () (Supplementary Table S4). We propose that there are four main events which take place during florogenesis: 1) induction of solitary flowers, typically in the axils of the stipules (Figures 2D4A), 2) formation of axillary branches and the transition to higher order branching (Figure 4B), 3) the onset of inflorescence flowering, marked by the formation of flower clusters at the shoot apex and axillary branches (Figure 4C), and finally 4) terminal flowering, when the apical meristem has transitioned to a terminal flower (Figure 4D). Changes in shoot apex architecture and inflorescence flowering can be inducible under short photoperiods and these characteristics appear to be regulated independently of solitary flower formation ().

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Schematic representing the four main stages of florogenesis proposed for use in flowering measurements of Cannabis sativa L. The four main events of florogenesis in female C. sativa plants, including (A) the induction of solitary flowers, signified by the development of the first bracts with stigma/style tissues, typically in the axils of the stipules, adjacent to the axillary buds (B) transition to higher order branching and proliferation of nodes at the shoot apex, (C) the onset of inflorescence flowering, marked by the formation of flower clusters, at the shoot apex and axillary branches, consisting of two or more bracts with pairs of stigmata (receptive to pollen), and (D) terminal flowering marked by the differentiation of the apical meristem by a terminal flower.

Flowering time and phytocannabinoid production

Phytocannabinoid content and yield is known to be highly variable and dependent upon genotype, growth stage, flowering behavior, and cultivation environment. Female C. sativa inflorescences are a rich source of hundreds of specialized metabolites, including phytocannabinoids (). Phytocannabinoid biosynthesis is concentrated within glandular trichomes (), present on the perigonal bracts as well as other modified floral leaves within pistillate inflorescences. The capitate stalked trichome is the most abundant trichome morphotype in pistillate inflorescences and these and are principally responsible for the high concentration of phytocannabinoids in C. sativa plants ().

Many factors are capable of determining phytocannabinoid yield, including plant variety and age, planting density, and light intensity (). Flowering time has a strong effect on phytocannabinoid accumulation, with rapid accumulation occurring in the first 3 weeks of inflorescence flowering (). Importantly, both plant architecture and the accumulation of inflorescence biomass are strongly affected by flowering time (). Comparisons between early and late flowering genotypes also indicate a limited trade-off between floral biomass and phytocannabinoid concentration, with genotypes producing the highest amounts of floral biomass also having the highest phytocannabinoid levels (). This data indicates that the genetic manipulation of flowering pathways could be used as a viable strategy to increase phytocannabinoid yield within C. sativa commercial production systems.

Inheritance of flowering traits

Whilst flowering traits in C. sativa appear to be quantitative and so reliant on the actions of many genes, early flowering time and autoflowering phenotypes appear to follow Mendelian expectations consistent with monogenic or multigenic modes of inheritance. A large range of variation in flowering behavior within and between cultivars, suggests multiple major effect loci contribute to this trait in C. sativa (), although segregation ratios for flowering time in ‘Umpqua,’ ‘Deschutes’ (~1:1 ratio of early- to late-flowering) and ‘Rogue’ (~1:3) populations suggests that a single locus is responsible for early flowering time (). In seven C. sativa families segregating for early, mid, and late terminal flowering day,  observed that earlier flowering individuals were far less variable than those flowering later, suggesting a lower sensitivity to environmental cues. Segregation of S2 families indicated that with-in family variation in days to flower was the result of a common heterozygous parent for at least one major effect flowering time gene. Segregation was not indicative of a simple recessive trait, with the absence of a clear 3 late:1 early ratio in S1 progeny. Ratios were either ~1 late:1 early, ~2 late:1 early, all-early, or all-late, with a mean difference of ~10 days between the terminal flowering of early and late groups. This suggests that more than one gene is responsible for early flowering across these populations, although the limited sample size of these populations complicates the interpretation of inheritance patterns. In a separate population of the cultivar ‘Umpqua’, a major-effect flowering time locus, Early1, was also identified (spanning three significant peaks on Chr 1) (). Bulked segregant analysis (BSA) indicated clear statistical significance for the Early1 locus on cs10/CBDRx v2 Chr 1, with Casein kinease-1 like protein 1 (LOC115705415) the strongest Early1 candidate, although another 44 genes were also present across three confidence intervals linked to the early flowering phenotype.

The inheritance of photoperiod insensitivity appears less ambiguous than that of flowering time behavior.  demonstrated that hemp photoperiod insensitivity (or ‘autoflowering’) is a recessive Mendelian trait (1:2:1). The Autoflower1 locus was mapped to cs10/CBDRx v2 Chr 1 (17.74-22.94 Mb) () (Table 1). Heterozygous Autoflower1 individuals were intermediate for flowering date and homozygotes exhibited earlier flowering behavior (). This is consistent with the segregation of the autoflower trait in other F2 populations (), with several lines of investigation supporting the involvement of mutations in a PSEUDO-RESPONSE REGULATOR 37 (CsPRR37) gene (). Gene dosage and incomplete dominance of the A allele at the autoflowering locus has also been reported among diploid and triploid genotypes (), providing further evidence that photoperiod insensitivity is controlled by a single locus and is a homozygous recessive trait.

Despite recent advancements in the inheritance of flowering behavior, BSA, which compares a limited number of individuals within a segregating population and has been used extensively in C. sativa genomic analyses, can lack the statistical power to identify small effect QTL due to lower rates of observable recombination (). Moreover, many of these experiments have been conducted across heterogeneous environments using diecious parents with varying levels of heterozygosity (). As such, further research which makes use of more controlled environments, to delineate genetic contributions more accurately, as well as alternative breeding schemes are required to better understand the genetic basis underlying flowering behavior in natural populations of C. sativa.

Genetic analyses of flowering in C. sativa

Genomics has been pivotal to our understanding of the molecular mechanisms underlying flowering behavior in the model species A. thaliana and other important crop species. However, international narcotics conventions and associated legislation have constrained these analyses in C. sativa (), with the genetics of flowering time control only recently being reported in C. sativa. To date, ten studies have examined the genetic basis of flowering time (Table 1). These have used C. sativa genome assemblies of varying quality, completeness, and contiguity. This complicates comparative analyses between datasets and the identification of syntenic relationships between genomic intervals of interest. To facilitate comparison of these legacy studies, we generated a unified C. sativa CBDRx genome of flowering time genes. Regions of interest were mapped to a chromosome-scale reference genome of C. sativa to identify co-located QTL and genetic markers linked to flowering behavior, with intervals annotated by sequence similarity to known flowering time genes (Figure 5) (See Materials and Methods).

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Genomics of flowering time in Cannabis sativa L. Chromosomes of the cs10/CBDRx reference genome (genotype cs10/CBDRx:18:580, GCF_900626175.2) are shown. Labelled genes are those that have been characterized or discussed in the text. (A) Locations of putative flowering time genes in the cs10/CBDRx genome are indicated with radial lines (Supplementary Table S1). (B) Locations of Days to Maturity (DTM) QTLs in the Carmagnola x USO-31 F2 population (). Regions with LOD >1.5 are shaded blue, with peaks as solid lines. (C) Locations of markers associated with the Autoflower1 (brown, with peak as a solid line), Autoflower2 (purple) and Early1 (red) loci (). (DF) GWAS markers associated (LOD >4.0) with full flowering (D), beginning of flowering (E), and the length of the vegetative period (F). Solid symbols are scaffolds with flowering genes identified by . The scale is LOD 4 – 16. (GI) GWAS markers under selection in hemp-type (G), both hemp- and drug-type (H), and drug-type (I) C. sativa strains (). (J) GWAS markers under selection in wild and cultivated C. sativa strains ().

Several QTLs involved in flowering and sex determination have previously been identified by a genome-wide association study (GWAS)-based approach (), however, this analysis used a highly fragmented reference genome consisting of over ~135K unplaced scaffolds (Table 1). Despite this limitation, genes associated with light perception and transduction were identified in the QTL for ‘full flowering’. Our comparative genomic analysis aligned several regions containing genes associated with flowering time to the C. sativa cs10/CBDRx genome (Figure 5) and these were most commonly enriched for the GO term ‘Photoperiodism, light perception and signaling’ (Table 2Supplementary Table S1). We identified 4 co-localized QTL regions on Chr X, 3, 8 and 1. Of particular interest are a cluster of genes on Chr X at c. 85-100 Mb, which do not coincide with described QTLs, but overlap with the  QTL for ‘full flowering’. This region includes two phosphatidylethanolamine-binding (PEBP) members, CEN1 and FT3 (Figure 5), that encode proteins involved in flowering time, and may represent a sex-dependent locus.

Table 2

FLOweRing Interactive Database (Flor-ID) descriptions for Cannabis sativa putative flowering time genes.

Flor-ID Keyword Instances of keyword association with a gene
Aging 28
Ambient temperature 7
Circadian Clock 49
Flower development and meristem identity 40
Flowering time integrator 32
General 159
Gibberellins 19
Hormones 73
Photoperiodism, light perception and signalling 165
Response to cold 1
Sugar 9
Vernalization 40

 produced an F2 population of 372 plants by crossing phenotypically distinct hemp cultivars, Carmagnola and USO31 (Table 1). Whole-genome sequencing of the F2 population (n = 372) using a legacy Finola genome identified four QTLs associated with days to maturity (DTM) (Figure 5). The corresponding locations for these QTLs in the cs10/CBDRx genome are Chr 1 (5.97- 23.04 Mb), Chr 2 (6.46 – 7.62 Mb), Chr 3 5.5 – 54.745 Mb) and Chr 8 (33.11 – 55.84 Mb (Figure 5). Interestingly, DTM.3 coincides with the location of Autoflower1, associated with early and photoperiod-insensitive flowering () (Figure 5). DTM.2 contains a pair of SPLs close to the peak at c. 8 Mb on Chr 3 (Figure 5SPL13A and SPL13A’). SPL genes encode transcription factors (TFs) that promote SOC1 expression, resulting in the activation of the floral meristem identity gene LEAFY in A. thaliana (). Genes coding for TFs involved in the autonomous flowering pathway, including SOC1 and SQUAMOSA, were also identified in  flowering time QTLs. DTM.4 (Chr 8, c. 25 – 60 Mb) is coincident with several flowering time candidates, including COL11 and SPL1 (Figure 5). CsCOL11 demonstrates higher expression levels in early flowering varieties under SD conditions, while CsSPL1 is upregulated during plant maturation, from node 4 to node 7, and believed to be involved in the vegetative to reproductive phase transition ().

We also analyzed C. sativa cs10/CBDRx protein-encoding flowering time gene candidates to examine putative interaction networks. Analysis revealed groups involved in flower development and initiation and maintenance of inflorescence meristem identity, including 14-3-3 proteins, MADS (MCM1, AG, DEFA, and SRF-box) proteins, and PEBPs (Supplementary Figure S2). FD is a basic-leucine zipper (bZIP) transcription factor family protein responsible for positive regulation of flowering in A. thaliana (). PEBPs TFL1, BFT and ARABIDOPSIS THALIANA CENTRORADIALIS (ATC) were present and are suggested to interact with FD (). In A. thalianaATC and TFL1 encode similar proteins, with TFL1 required to maintain an indeterminate inflorescence by preventing the expression of AP1 and LFY (). FD interacts with FLOWERING LOCUS T (FT) to promote flowering, as FT activates the transcription of several floral meristem identity genes and is thought to act in parallel with LFY to induce flowering by regulating AP1 (Figure 6). Comparative genomic analysis indicated the presence of an FD-like gene at ~ 80 Mb on Chr 4 (Figure 5).

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Putative flowering time pathways in Cannabis sativa L. Potential age-, photoperiod- and temperature-dependent pathways regulating flowering in C. sativa based on known pathways in model species (A. thaliana, soybean, and rice) as well as recently identified QTLs in hemp (). Superscripts indicate references: 1 2  and 3 .

To determine if any of these regions were under selection, we also plotted data from  and  who examined selection and domestication in hemp and drug-types of cannabis. This revealed two regions coincident with several putative flowering time loci. One is located at ~85-90 Mb of Chr 4, close to the FD-like gene, while the other is a broader region encompassing much of the distal end of Chromosome X (~50-105 Mb), including FT3 and CEN1 (Figures 5G–J).

Photoperiod-dependent pathways in C. sativa

The photoperiod-dependent flowering pathway involves light-sensing proteins (phytochromes and cryptochromes) which coordinate with the circadian clock to regulate the expression of the phosphatidylethanolamine-binding protein (PEBP) family, including a sub-family related to the FT protein (Figures 6A7A). PEBP members can function both as inducers and inhibitors of flowering. C. sativa is particularly sensitive to photoperiodic changes, with the time to flower reduced in SD conditions (). The PEBP gene family is well represented in C. sativa, with both putative inducers and inhibitors of flowering present (see below) (Figure 7A). The flowering time network of the model species A. thaliana is well-defined with several pathways converging on floral integrator genes (), including FTTWIN SISTER OF FT (TSF; ()), and SOC1 (Figure 7). FT and its orthologs are synthesized in the leaves of several plant species and encode proteins that function as florigens and anti-florigens, promoting or inhibiting floral initiation at the shoot apex, respectively. A. thaliana possesses five phytochromes: PHYA through PHYE, the signals from which are received by the GIGANTEA-CONSTANS-FT (GI-CO-FT) signaling cascade. Stabilized by PHYA, the nuclear TF CONSTANS (CO) activates transcription of FT (). The FT locus produces florigen in the leaves which then travels to the shoot apical meristem to initiate flowering (). GI, a circadian clock gene, facilitates the degradation of transcriptional repressors responsible for repressing the expression of CO, indirectly promoting FT (). CO indirectly upregulates the MADS-box TF gene SOC1, which activates the floral meristem identity gene LEAFY (LFY) to promote flowering (). FLOWERING LOCUS C (FLC)like genes negatively regulate flowering time in the autonomous and vernalization flowering pathways, with elevated levels of FLC resulting in later flowering in A. thaliana (). FLOWERING LOCUS D (FLD) codes for the FLD TF, which regulates FLC. FLD facilitates histone demethylation at the FLC locus, deactivating FLC expression and triggering flowering (). The overexpression of TERMINAL FLOWER 1 (TFL1)/CENTRORADIALIS (CEN)-like genes also delays flowering and alters flower architecture in Hevea brasiliensis () and CENTRORADIALIS (CEN)-like protein 1 (encoded by CET1) is highly expressed in the developing inflorescences of A. thaliana and Antirrhinum ().

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Phosphatidylethanolamine-binding protein family members in Cannabis sativa L. (A) Phylogenetic analysis of C. sativa PEBP proteins. Proteins were aligned using CLUSTAL in Geneious Prime, and a maximum-likelihood tree was produced using IQ-TREE with JTT+I+G4 parameters as the best model under AIC and BIC criteria (). The tree was visualized with ITOL (https://itol.embl.de; ()). Numbers indicate percentage bootstrap support following 100 bootstraps (only values above 50 are shown). Species abbreviations: At – A. thaliana, Sl – Solanum lycopersicon, Cm – Chrysanthemum seticuspe. The scale is the average number of substitutions per site. (B) Alignment of the critical Y85/H88 and segment B regions of the PEBP proteins shown in (A). Numbers correspond to amino acid residues in A. thaliana FLOWERING LOCUS T (AtFT). (C) Expression of CsPEBP family in different C. sativa tissues or stages of development. Details of RNASeq data sets are in Supplementary Table S3.

CO-like (COL) genes are TFs in pathways associated with growth and development, including the photoperiod-dependent flowering pathway (Figure 6). The COL gene family is known to regulate flowering under both SD and LD conditions, with negative regulators under both photoperiods in rice (Oryza sativa; a facultative SD plant), OsCOL10OsCOL13 and OsCOL16 as well as Hd1, a promoter of SD dependent flowering that suppresses flowering under LD conditions (). Overexpression of COL genes in A. thaliana (AtCOL3AtCOL7 and AtCOL8) delays flowering while the overexpression of AtCOL5 increases the expression of FT to promote flowering ().  conducted an analysis of the CONSTANS-like gene family in C. sativa (CsCOL) and identified 13 CsCOL genes (CsCOL1 – CsCOL13), unevenly distributed across 7 chromosomes and primarily located on Chr 10. Ten CsCOL genes were preferentially expressed in the leaves, two in the female flower (CsCOL2 and CsCOL3), and one in the stem (CsCOL13). Most CsCOL genes identified by  exhibited a diurnal oscillation pattern under SD and LD conditions and sequence analysis indicated amino acid differences for CsCOL3 and CsCOL7 among early flowering and late flowering varieties. At peak transcription levels, CsCOL4 and CsCOL11 expression levels were higher in the two early flowering varieties tested, compared to those of the two late flowering varieties. The reverse was true for CsCOL6CsCOL7CsCOL9, and CsCOL12. This indicates that there may be multiple CsCOL genes functioning as promoters or suppressers of flowering to regulate flowering time in C. sativa. While gene functions and mechanisms can differ between species, the apparent conservation of GICO, and FT in the flowering pathways of many crops (), along with the photoperiod-dependent regulation of FT-like expression () and COL expression in C. sativa suggest that these may be ideal candidates in determining the regulation of flowering time in C. sativa and warrant further investigation.

In soybean (Glycine max), a SD dicot, flowering time is regulated by E genes and JUVENILE (J), also known as GmELF3 (). GmELF3 is orthologous to A. thaliana EARLY FLOWERING3 (ELF3), that encodes a key component of the circadian clock (). E1 is a legume-specific TF and E2E3, and E4 are orthologous to genes associated with the regulation of flowering time in A. thalianaE2 (also GmGIGANTEAa) is an ortholog of GIGANTEA (GI), and E3 (GmPHYA3) and E4 (GmPHYA2) are orthologs of PHYA. Under long day conditions, GmPHYA3 and GmPHYA2 promote E1 expression and inhibit GmELF3 expression. E1 up-regulates GmFT4a and down-regulates GmFT2a and GmFT5a, all of which are FT homologs (). GmGIa (a GI homolog) delays flowering under LD conditions by inhibiting GmFT2a (). The E1 to E4 loss-of-function alleles result in photoperiod insensitive flowering due to increased FT gene transcript levels (). Under SD conditions, GmELF3 represses E1, releasing the E1 suppression of the GmFT genes, promoting flowering (). Flowering time variation in soybean is caused, in part, by natural variation in the GmFT gene family (). C. sativa has two GI (LOC115708742 and LOC115722652), three ELF3 (LOC115703149, LOC115697482 and LOC115707722) and three PHY homologs (PHYA: LOC115719277, PHYB: LOC115721719, and PHYE: LOC115697533) and, as such, these genes may assist in understanding variation in sensitivity to photoperiod in C. sativa (Supplementary Table S1).

Photoperiod affects many aspects of plant development, including the initial elongation of flower stalks, flower initiation (), meristem termination, bud dormancy and branching. Overexpression of FT homologs induces very early flowering in eudicot plants, such as tomato (Solanum lycopersicum), and monocot plants, such as rice (). FT and TSF also promote lateral shoot development in A. thaliana, independently of their effect on floral initiation (). Additionally, BRANCHED1/TEOSINTE BRANCHED1-LIKE 1 TF, a key negative regulator of branching in A. thaliana, can inhibit the function of both FT and TSF (). A similar mechanism exists in C. sativa, given that a short photoperiod promotes intense branching of the inflorescence (). Research in day-neutral tomato (Solanum lycopersicum) has explored the nature of the relationship between branching and flowering, with late-flowering mutants showing a greater propensity to revert to vegetative functioning in the inflorescence. It has been suggested that there are common mechanisms between the inhibition of vegetative growth in the shoot apical meristem and the number of lateral meristems initiated in the inflorescence (). FA (FALSIFLORA) and SINGLE FLOWER TRUSS (SFT) are the tomato orthologs of the A. thaliana LFY and FT genes, respectively (). Mutants fa and sft exhibit leaf production in the inflorescence () with additive late-flowering phenotypes, indicating that the genes act in parallel pathways (). Conversely, FA and SFT are floral promoters, with overexpression of either accelerating flowering (). The early flowering tomato mutant terminating flower (tmf) exhibits a reduction in the number of vegetative phytomers, like that of plants overexpressing FA or SFT (). TMF acts upstream of FA and independently of SFT to maintain a vegetative shoot apical meristem. Both FA and LFY are floral meristem identity genes, expressed in leaf primordia before flowering with expression increasing with transition from a shoot apical meristem towards a flowering meristem ().

The FAC consists of FT, a 14-3-3 protein, and FD and plays a vital role in promoting flowering in tomato () (Figure 6). SFT interacts with a 14-3-3 protein, in tomato, facilitating the interaction with SELFPRUNING (SP; an ortholog of TERMINAL FLOWER1)-interacting G-BOX (SPGB) to form the FAC ().  examined the interactions between FTL1, a tomato FT paralog, SPGB and three 14-3-3 isoforms and determined that FTL1 interacts with 14-3-3/2 to form the FAC, with SPGB regulating tomato flowering. Allelic variation in SELF-PRUNING 5G (SP5G), an FT paralog, reduces the LD response and contributes to the loss of day-length-sensitive flowering in tomato (). FTL1 was induced by SD conditions, as opposed to LD conditions, with transcript levels indicating a strong diurnal oscillation (). SFT is a floral inducer but does not respond to day length (), acting downstream of FTL1 to regulate SD dependent flowering. Disruption of both SP5G and FTL1 function induces day-neutral flowering in tomato, by enhancing or reducing SFT expression under LD or SD conditions (). SFT induces early flowering in tomato and is conserved in other species (). In C. sativa, there are nine 14-3-3 and two FD putative homologs present in C. sativa, suggesting the existence of similar pathways (Supplementary Table S1).

Analysis of the expression of FLOWERING LOCUS T-like (FT-like/LOC115697736/FT3) and CET1/LOC115697843/CEN1 in C. sativa accessions from different latitudes shows that wild accessions flowered under both LD and SD conditions and that the cultivated plants only flowered in SDs. FT-like expression was significantly higher in the wild accessions under LD conditions and was positively correlated with the latitude of origin. Cultivated plants showed low FT-like expression under LD conditions, while FT-like expression was high and rapidly followed flowering in all accessions under SD conditions, suggesting that FT-like may promote flowering. The relatively unchanged expression of CET1 across developmental stages has been interpreted by some authors as evidence that flowering behavior is not controlled by autonomous or vernalization pathways and that cultivated C. sativa has adapted to different photoperiods through the regulation of FT-like expression ().

To clarify the relationship between C. sativa PEBP members, we searched the cs10/CBDRx genome and compared the PEBP genes identified to those well characterized PEBP genes from the model plant A. thaliana, tomato, and the SD plant Chrysanthemum seticuspe (). This revealed that there are 12 PEBP family members in C. sativa, with four FT-like (CsFT1 through CsFT4), three closely related to MOTHER OF FT (MFT, CsMFT1 through CsMFT3), two related to TERMINAL FLOWER (TFL) and A. thaliana CENTRORADIALIS (ATC) (CsATC and CsTFL), as well as three BROTHER OF FT (BFT)/CEN genes (Figures 7A, BSupplementary Table S1). Two of the CsMFT clade genes (CsMFT1/LOC115711426 and CsMFT2/LOC115711470) are almost identical in cs10/CBDRx (Figure 7B), with a five-nucleotide insertion/deletion in the 3’ untranslated region, and two synonymous single nucleotide polymorphisms in the coding region. These two genes are also close together on cs10/CBDRx Chr 3 (NC_044372.1) at 92,271,234 – 92,269,219 bp and 92,136,895 – 92,134,894 bp, respectively. To investigate the possibility that these two annotated genes are incorrectly annotated, perhaps because of heterozygosity-induced assembly errors, we examined the genomes of two other cultivars, Finola and Abacus, and could only detect a single MFT1/2 gene in each case, at the corresponding genomic location. CsFT1 through CsFT4 all have a conserved tyrosine at the Y88 position seen in floral promoting-PEBP proteins (Figure 7B).

The expression of some PEBP family members in C. sativa has been examined in two studies (). CsFT3/LOC115697736, also (called FT-like in ()), exhibits increased expression in the first and second apical leaf pairs following the shift from LD to SD conditions in two wild and two cultivated C. sativa strains (). This suggests that the gene may mediate the promotion of flowering in response to a shortening of photoperiod. Six CsPEBP genes were differentially expressed in nodes 4 (vegetative), 6 (vegetative) and 7 (reproductive) (). The three CsBFT/CEN genes exhibited reduced expression in node 7, compared to nodes 4 and 6, and CsMFT3 showed slightly reduced expression. The CsFT4 gene exhibited increased expression, in node 6, which was unexpected as FT has an amino acid sequence indicative of a floral promoter (). The expression of CsTFL was also reduced in node 6 and node 7, suggesting it may be involved in the maintenance of vegetative function at the shoot apex in vegetative plants. To further clarify the expression of these genes across the whole C. sativa plant, we examined their expression in a wide variety of tissues using existing RNASeq datasets and found that the relative expression of CsMFT1, CsMFT2, and CsMFT3 was greatest in seed, with CsMFT2 expression reduced in mature Finola flower and Finola root tissues (Figure 7CSupplementary Table S3).

Temperature-dependent pathways in C. sativa

The vegetative phase is distinguished by a temperature-dependent basic vegetative phase (BVP) and a daylength-dependent photoperiod induced phase (). In hemp, a base air temperature of ~1°C and a range of 306 – 636°Cd (thermal time) is required for completion of the BVP (). The vegetative stage can also be defined by the number of fully developed leaves () (Figure 2A). While there is little evidence to suggest that C. sativa has vernalization requirements, temperature is known to be a factor affecting the length of the juvenile stage, with reduction in temperature increasing the time to floral initiation and flowering (Supplementary Table S4) ().

Temperature contributes to the regulation of flowering time through multiple pathways. In Athaliana, the vernalization pathway controls flowering in response to extended cold periods. The vernalization-related gene VERNALIZATION1 (VRN1) codes for a protein that acts to repress the floral repressor TF, FLC (Figure 6), subsequently allowing the expression of flowering integrator genes (). A VRN1 ortholog has also been identified in a hemp QTL for full flowering () (Figure 5). Changes in ambient temperature play a key role in the floral induction of A. thaliana under non-inductive SD photoperiods (). The type II MADS-box TFs FLOWERING LOCUS M (FLM) and SHORT VEGETATIVE PHASE (SVP) assist in regulating ambient temperature-responsive flowering by repressing the expression of florigen genes (). FLM produces multiple splicing variants including FLM-β and FLM-δ, with overexpression of these resulting in late flowering and early flowering, respectively (). At elevated temperatures, ubiquitin-mediated proteasomal degradation reduces SVP while alternative splicing reduces the abundance of FLM-β but increases the abundance FLM-δ (). SVP was also present in our analysis of protein-protein interactions (Supplementary Figure S2) and has been shown to inhibit floral transition in the A. thaliana autonomous flowering pathway by acting with AGAMOUS-LIKE 24 (AGL24) and AP1 to control floral meristem identity ().

FLC is central to the flowering regulatory network in A. thaliana and the control of flowering in response to seasonal cues (). Floral transition is inhibited by FLC binding directly to genes that encode activators of flowering, to repress their transcription (). FLC targets SOC1 (), which encodes a MADS-domain TF that regulates genes involved in floral transition at the shoot apex () and assists with floral transition in non-inductive short days (). SOC1 transcription is activated during vernalization as FLC transcription is repressed (). FLC binds DNA as heterodimers with other members of the MADS-domain TFs family () and, as such, it is important to consider the specificity of MADS-domain complexes including FLC and partner protein availability when examining FLC function and target-specific regulation ().

There is limited expression data for SOC1 and FLC in C. sativa () (Figure 6). To clarify the relationship between C. sativa MADS members, we searched the cs10/CBDRx genome and compared the MADS genes identified to those well characterized MADS-box genes from the model plant A. thaliana, and grapevine Vitis vinifera (Figure 8Supplementary Figure S1Supplementary Table S2). This identified one FLC-like gene, three SVP-like and three SOC1-like genes suggesting the involvement of these MADS genes in floral transition in C. sativa.

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MADS-family proteins in Cannabis sativa L. (A) Phylogenetic analysis of Type II C. sativa MADS family proteins. Proteins were aligned using CLUSTAL in Geneious Prime, and a maximum-likelihood tree was produced using IQ-TREE with JTT+R10 parameters as the best model under AIC and BIC criteria (). The tree was visualized with ITOL (https://itol.embl.de; ()). Numbers indicate percentage bootstrap support following 100 bootstraps (only values above 50 are shown). The scale is the average number of substitutions per site. (B) Expression of CsMADS family in diverse C. sativa tissues. A complete tree of all C. sativa MADs proteins is included as Supplementary Figure S1. Details of RNASeq data sets are in Supplementary Table S3.

The TF PHYTOCHROME-INTERACTING FACTOR 4 (PIF4) is thought to positively regulate high-temperature-induced flowering by binding to the FT promoter region and increasing FT transcription (Figure 6) (). PIF4 transcription is regulated by multiple TFs, with TEOSINTE BRANCHED 1/CYCLOIDEA/PCF 5 (TCP5) thought to positively regulate PIF4 transcription in response to warm temperatures. Greater ambient temperature increases PIF4 expression and enhances the accessibility of PIF4, increasing the expression of thermal-responsive genes (). FT binds a membrane phospholipid (phosphatidylglycerol) at low temperatures, restricting mobility. This binding is less preferrable at higher temperatures, allowing FT to travel to the shoot apical meristem and induce flowering. Flowering time is subsequently optimized by the adjustment of florigen (flowering hormone) activity, with cellular membranes sequestering FT by binding the phospholipid, in response to temperature changes (). Similar pathways may exist in C. sativa, where one PIF3 and one PIF5 homolog are present (Supplementary Table S1).

Autonomous flowering pathways in C. sativa

In day-neutral flowering plants, flower induction is primarily regulated by age-dependent, autonomous pathways (). The transition between juvenile and adult developmental phases involves regulation of the levels of microRNAs, miR156 and miR172miR156 is highly expressed throughout the juvenile phase and declines prior to flowering. The opposite trend is seen for miR172miR156 target transcripts of a subset of SPL TFs (Figure 6) known to promote transition from the juvenile to adult vegetative phases as well as flowering (). In A. thaliana, the vegetative phase change is regulated by increased SPL3 expression due to decreased miR156 levels (). In maize, the overexpression of miR156 extends the juvenile phase by 1-2 weeks () while the overexpression of miR172 in A. thaliana accelerates flowering (). The abundance of miR172 is also regulated by photoperiod via GI-mediated miRNA processing. GI-regulated miR172 regulates photoperiodic flowering by inducing FT independently of CO (). As a result, plants that overproduce miR172 flower earlier under both long and short days. miR156 and miR172 are conserved in Humulus lupulus, the closest relative of C. sativa ().  subjected C. sativa microRNAs () to a BLASTn () search against the genome of C. sativa ‘Purple Kush’ assembly () and confirmed the presence of csa-miR156 and csa-miR172a. The conservation of miR156 and miR172a in C. sativa suggests they may help determine flowering time alongside 18 SPLs present in C. sativa (Supplementary Table S1).

 identified 16 SPL genes in C. sativa, with expression levels for 13 of these differing significantly between nodes. Expressions patterns could be separated into three groups, the largest of which included SPLs upregulated during plant maturation from nodes 4-7 (). CsSPL9 exhibited the highest expression levels and may have a key role in regulating the transition between vegetative to reproductive phases. Notably, expression of CsSPL7 was relatively high in nodes 4 and 6 but sharply downregulated in node 7 (). SPL genes are regulators of the juvenile-to-adult and vegetative-to-reproductive phase transitions in A. thaliana (), with SPL9 shown to directly activate expression of LFY and AP1 to promote flowering (). In C. sativa, nine SPL genes are known to be upregulated in the reproductive phase, with CsAP1 and CsLFY upregulated in node 7 alongside SPL genes, including CsSPL9. (). Similar mechanisms may be present in the vegetative to reproductive phase transition of C. sativa, however, further research is required to better understand the genetic determinants involved in these flowering pathways.

Conclusions & future prospects

In summary, flowering behavior in C. sativa shows a high level of complexity and can vary within and between cultivars, indicating that multiple major and potentially minor effect loci may contribute to these traits. Meta-analysis of available flowering time studies shows 4 co-localized QTL regions. Functional genomic analyses focusing on these genetic intervals and other loci identified in this review will be essential to improve our understanding of the genetic basis underlying flowering behavior in C. sativa.

Recently, the efficacy of virus-induced gene silencing (VIGS) and virus-aided gene expression (VAGE) has been demonstrated in C. sativa (), which offers opportunities to test the function of the putative flowering time gene candidates (). Autoflower1 genes (including RAP2-7UPF and Early1) are obvious targets for such analysis using transient gene-expression modification systems, with even transient reductions in gene expression likely to result in altered flowering times in inductive or non-inductive photoperiods. The prospect for functional analysis of flowering time by stable transformation incorporating overexpression or gene editing systems appears more elusive, with few reports of viable or reproducible transformation protocols yielding stably transformed plants (). The recent development of molecular markers tightly linked to the Autoflowering trait on chromosome 1 offers great promise in C. sativa breeding programs. In the future, tightly controlled studies of C. sativa populations are likely to identify further markers.

While much of the work on flowering time regulation is protein-centric, plant metabolites also play a key role in regulating flowering. Metabolomic analysis could be used to identify metabolites with greater abundance in early or late flowering C. sativa genotypes, for use as potential biomarkers in breeding trials (). Gene expression profiling has potential to reveal the mode of action of small molecules in C. sativa, such as 4-dibromo-7-azaindole (B-AZ) which has been shown to lengthen the circadian period and inhibit the Casein Kinase 1 family (CK1) in A. thaliana (). A chemical genomics screening platform has also been successfully used to discover compounds that can induce flowering in A. thaliana and a similar approach could be developed in C. sativa ().

Given the phenotypic plasticity in C. sativa, epigenetic regulation may influence flowering behavior. The DNA demethylating agent 5-azacytidine induces non-vernalized A. thaliana plants to flower significantly earlier than untreated controls (). Late-flowering mutants insensitive to vernalization do not respond to 5-azacytidine treatment, suggesting that DNA methylation prevents early flowering (). Temperature-sensitive lipid binding has also been demonstrated to assist in the timing of flowering with favorable ambient temperatures () and histone deacetylase-mediated transcriptional repression may result in changes to flowering behavior, with antisense inhibition of the expression of histone deacetylase HDA19 (or AtHD1) resulting in delayed flowering in A. thaliana (). These and other emerging technologies could be employed to regulate C. sativa flowering with improved precision and accuracy, thereby offering opportunities to optimize commercial cultivation and improve yields of valuable feedstocks used for industrial and medicinal end-uses.

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.

Author contributions

MW, KJ and AG provided substantial contributions to conception and design of the research project and performed detailed review and revision of the manuscript. LS wrote the manuscript, conducted the DIAMOND and BLASTn analysis and generated the protein-protein interaction network. NR conducted the gene expression and MADS phylogenetic analyses. AG conducted comparative genomic analyses. All authors contributed to the article and approved the submitted version.

Funding Statement

This work was supported by the Australian Research Council (ARC) Research Hub for Medicinal Agriculture (IH180100006), with funding provided to KJ and AG. LS is supported by a La Trobe University ARC Research Hub for Medicinal Agriculture Graduate Research Scholarship and NR is supported by a La Trobe University Research Training Program Scholarship. Cann Group Limited are a partner organization of the ARC Research Hub for Medicinal Agriculture.

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.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2023.1227898/full#supplementary-material

Supplementary Figure 1

MADS protein phylogeny.

Supplementary Figure 2

Analysis of flowering time protein-protein interactions.

Supplementary Table 1

C. sativa flowering genes.

Supplementary Table 2

PEBP and MADS proteins.

Supplementary Table 3

RNA Seq data accessions.

Supplementary Table 4

Summary of flowering time measurement schemes in female C. sativa plants.

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