Evaluation of intercellular and extracellular synthesis of biogenic amines by the aquatic moss Vesicularia dubyana
Belyshenko, A. Y.; Morgunova, M. M.; Malygina, E. V.; Dmitrieva, M. E.; Imidoeva, N. A.; Shelkovnikova, V. N.; Telnova, T. Y.; Vlasova, A. A.; Vavilina, T. N.; Tretyakova, A. V.; Axenov-Gribanov, D. V.
Show abstract
Natural compounds of mosses are an understudied area of phytochemistry. Over the last 20 years, the amount of information on the chemistry of natural compounds in mosses has increased considerably, but is still underwhelming. Historically, only a few hundred natural products have been described for mosses, whereas the potential for bacteria or fungi is measured in hundreds of thousands of metabolites. Although metabolites with antimicrobial, antiviral, fungicidal, and cytotoxic activities have been discovered in mosses, only few studies have been devoted to compounds with neurogenic properties. In our study, the ability of the aquatic moss Vesicularia dubyana to synthesize biogenic amines intercellularly and extracellularly has been evaluated. Aquatic moss was grown in laboratory conditions, and methanol extraction of cell biomass and moss-environment medium was conducted. The presence of biogenic amines was confirmed by UHPLC-MS-MRM analysis. The following compounds were revealed in the cellular biomass of V. dubyana: histamine, kynurenine, kynurenic acid, tryptamine, and tyramine. Histamine was also detected in the moss-environment medium, indicating the extracellular synthesis of this natural compound. Methanol extracts of the studied moss showed low antibacterial and antioxidant activities. Thus, this study for the first time demonstrates biogenic amine synthesis by aquatic mosses.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Nano formulation development and antibacterial activity of cinnamon bark extract-chitosan composites against burkholderia glumae, the causative agent of bacterialpanicle blight in rice 96%
- Metabolomics and Transcriptomics unravel the mechanism of browning resistance in Agaricus bisporus 95%
- Effect of pulsed light on postharvest disease control-related metabolomic variation in melon (Cucumis melo) artificially inoculated with Fusarium pallidoroseum 95%
Similar papers in this journal
- Screening antifungal activity of macroalgae from SE Spain highlights the invader Rugulopteryx okamurae 95%
- Role of nitric oxide in improving seed germination and alleviation of copper-induced photosynthetic inhibition in Indian mustard 94%
- Short Term Impact of Recycling-Derived Fertilizers on Their P Supply for Perennial Ryegrass (Lolium perenne) 93%
Similar papers in this journal
- Bambara Groundnut Rhizobacteria Antimicrobial And Biofertilization Potential 94%
- Identification of Alkaloids and Related Intermediates of Dendrobium officinale by Solid-Phase Extraction Coupled with High-Performance Liquid Chromatography Tandem Mass Spectrometry 93%
- 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 93%
Similar papers in this journal
- Nematicidal and antifeedant activity of ethyl acetate extracts from culture filtrates of Arabidopsis thaliana fungal endophytes 95%
- Impact of Cymbopogon flexuosus (Poaceae) essential oil and primary components on the eclosion and larval development of Aedes aegypti (Diptera: Culicidae) 94%
- Fungal succession on the decomposition of three plant species from a Brazilian mangrove 94%
Similar papers in this journal
- Comparative transcriptomic and lipidomic analysis of fatty acid accumulation in three Camellia oleifera varieties during maturation 92%
- Oligogalacturonides, produced by enzymatic degradation of sugar beet by-products, confer partial protection against wheat powdery mildew 92%
- Response of whitefly to the wild tomato Solanum habrochaites 92%
"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.