Plant growth and phytoactive alkaloid synthesis in Mitragyna speciosa (kratom) in response to varying radiance
ZHANG, M.; Sharma, A.; Leon, F.; Avery, B.; Kjelgren, R.; McCurdy, C. R.; Pearson, B. J.
Show abstract
The dose-dependent consumptive effect of kratom and its potential application as an alternative source of medicine to mitigate opioid withdrawal symptoms has brought considerable attention to this plant. Increased interest in the application and use of kratom has emerged globally, including North America. Although the chemistry and pharmacology of major kratom alkaloids, mitragynine and 7-hydroxymitragynine, are well documented, foundational information on the impact of plant production environment on growth and kratom alkaloids synthesis is unavailable. To directly address this need, kratom plant growth, leaf chlorophyll content, and alkaloid concentration were evaluated under three lighting conditions: outdoor full sun, greenhouse unshaded, and greenhouse shaded. Nine kratom alkaloids were quantified using an ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method. Contents of six alkaloids to include: mitragynine, speciogynine, speciociliatine, mitraphylline, coynantheidine, and isocorynantheidine were not significantly impacted by lighting conditions, whereas 7-hydroxymitragynine was below the lower limit of quantification across all treatments. However, paynantheine concentration per leaf dry mass was increased by 40% and corynoxine was increased by 111% when grown under shade conditions in a greenhouse compared to outdoor full sun. Additionally, total alkaloid yield per plant was maximized when plants were under such conditions. Greenhouse cultivation generally promoted height and width extension, leaf number, leaf area, average leaf size, and total leaf dry mass, compared to outdoor full sun condition. Rapid, non-destructive chlorophyll evaluation correlated well (r2 = 0.68) with extracted chlorophyll concentrations. Given these findings, production efforts where low-light conditions can be implemented are likely to maximize plant biomass and total leaf alkaloid production.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Light spectra modify nitrogen assimilation and nitrogen content in Quercus variabilis Blume seedling components: A bioassay with 15N pulses 97%
- Evaluation of substrate composition and exogenous hormone application on vegetative propagule rooting success of essential oil hemp (Cannabis sativa L.) 97%
- Recalcitrance of Cannabis sativa to de novo regeneration; a multi-genotype replication study 96%
Similar papers in this journal
- Can Cynodon dactylon be used to suppress invasive weeds? The effects of density-dependent on the growth and development of Tagetes minuta and Gutenbergia cordifolia 97%
- Role of nitric oxide in improving seed germination and alleviation of copper-induced photosynthetic inhibition in Indian mustard 96%
- Individual and concurrent effects of drought and chilling stresses on morpho-physiological characteristics and oxidative metabolism of maize cultivars 95%
Similar papers in this journal
Similar papers in this journal
- Variations in phenolic levels in grapevine buds at eco-dormancy after chemically-induced stress conditions 96%
- Gibberellins target shoot-root growth, morpho-physiological and molecular pathways to induce cadmium tolerance in mung bean 95%
- Application of seaweed organic components increases tolerance to Fe deficiency in tomato plants 94%
Similar papers in this journal
- Comparative analysis of machine learning and evolutionary optimization algorithms for precision tissue culture of Cannabis sativa: Prediction and validation of in vitro shoot growth and development based on the optimization of light and carbohydrate sources 95%
- Photoperiodic Flowering Response of Essential Oil, Grain, and Fiber Hemp (Cannabis sativa L.) Cultivars 95%
- Molecular identification and functional analysis of HrpZ2, a new member of harpin superfamily from Pseudomonas syringae inducing hypersensitive response in tobacco. 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.