Browsing by Subject "Kalanchoe"

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    Machine learning unmasked nutritional imbalances on the medicinal plant Bryophyllum sp. cultured in vitro
    (Frontiers Media, 2020-12-01) Lozano-Milo, Eva; Landin, Mariana; Gallego, Pedro Pablo; García Pérez, Pascual; Tecnología de Alimentos, Nutrición y Bromatología
    Plant nutrition is a crucial factor that is usually underestimated when designing plant in vitro culture protocols of unexploited plants. As a complex multifactorial process, the study of nutritional imbalances requires the use of time-consuming experimental designs and appropriate statistical and multiple regression analysis for the determination of critical parameters, whose results may be difficult to interpret when the number of variables is large. The use of machine learning (ML) supposes a cutting-edge approach to investigate multifactorial processes, with the aim of detecting non-linear relationships and critical factors affecting a determined response and their concealed interactions. Thus, in this work we applied artificial neural networks coupled to fuzzy logic, known as neurofuzzy logic, to determine the critical factors affecting the mineral nutrition of medicinal plants belonging to Bryophyllum subgenus cultured in vitro. The application of neurofuzzy logic algorithms facilitate the interpretation of the results, as the technology is able to generate useful and understandable “IF-THEN” rules, that provide information about the factor(s) involved in a certain response. In this sense, ammonium, sulfate, molybdenum, copper and sodium were the most important nutrients that explain the variation in the in vitro culture establishment of the medicinal plants in a species-dependent manner. Thus, our results indicate that Bryophyllum spp. display a fine-tuning regulation of mineral nutrition, that was reported for the first time under in vitro conditions. Overall, neurofuzzy model was able to predict and identify masked interactions among such factors, providing a source of knowledge (helpful information) from the experimental data (non-informative per se), in order to make the exploitation and valorization of medicinal plants with high phytochemical potential easier.
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    Neurofuzzy logic predicts a fine-tuning metabolic reprogramming on elicited Bryophyllum PCSCs guided by salicylic acid
    (Frontiers Media, 2022-09-23) Lozano-Milo, Eva; Zhang, Leilei; Landin, Mariana; Lucini, Luigi; Gallego, Pedro P.; Miras Moreno, Begoña; García Pérez, Pascual
    Novel approaches to the characterization of medicinal plants as biofactories have lately increased in the field of biotechnology. In this work, a multifaceted approach based on plant tissue culture, metabolomics, and machine learning was applied to decipher and further characterize the biosynthesis of phenolic compounds by eliciting cell suspension cultures from medicinal plants belonging to the Bryophyllum subgenus. The application of untargeted metabolomics provided a total of 460 phenolic compounds. The biosynthesis of 164 of them was significantly modulated by elicitation. The application of neurofuzzy logic as a machine learning tool allowed for deciphering the critical factors involved in the response to elicitation, predicting their influence and interactions on plant cell growth and the biosynthesis of several polyphenols subfamilies. The results indicate that salicylic acid plays a definitive genotype-dependent role in the elicitation of Bryophyllum cell cultures, while methyl jasmonate was revealed as a secondary factor. The knowledge provided by this approach opens a wide perspective on the research of medicinal plants and facilitates their biotechnological exploitation as biofactories in the food, cosmetic and pharmaceutical fields.
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    The metabolomics reveals intraspecies variability of bioactive compounds in elicited suspension cell cultures of three Bryophyllum species
    (Elsevier, 2021-02-15) García-Pérez, Pascual; Lucini, Luigi; Gallego, Pedro P.; Miras Moreno, Begoña; García Pérez, Pascual
    In this work, the combination of elicited plant suspension cultured cells (PSCCs) with untargeted metabolomics establishes a powerful, cutting-edge strategy to unravel the effects of elicitors on the biosynthetic potential of medicinal plants, as Bryophyllum sp. The PSCC technology constitutes a successful biotechnological system for the study and production of bioactive compounds throughout the inclusion of elicitors with the ability to modulate secondary metabolism. The use of methyl jasmonate (MJ) and salicylic acid (SA) as abiotic elicitors on bryophyllum PSCCs, resulted in differential effects on cell growth and secondary metabolism, depending on the species, including synergistic and antagonistic effects. This fact suggests that both elicitors play a pleiotropic effect on plant secondary metabolism, showing complex interactions, according to the UHPLC-QTOF mass spectrometry profiling. Thus, the combination of both elicitors induced a strong synergistic on B. daigremontianum PSCCs, with 2272 putatively annotated compounds, whereas it caused a negative effect on the secondary metabolism of B. × houghtonii PSCCs, being MJ the only elicitor driving a positive effect, presenting 2972 annotated compounds. Meanwhile, B. tubiflorum PSCCs did not show a significant modulation of secondary metabolism, with 1521 annotated compounds. The metabolite annotation indicated that three families of secondary metabolites were mainly affected by elicitation: phenolic compounds constituted the most affected family by elicitation, mainly represented by flavonoids and lignans; N-containing compounds included glucosinolates, amines, and alkaloids, reported to Bryophyllum sp. for the first time; and terpenoids included mainly phytoalexins and saponins. The results depict a deep genotype-dependent metabolomic reprogramming of secondary metabolism in response to elicitors, thanks to the application of untargeted metabolomics. This knowledge will allow the consideration of Bryophyllum sp. as a valuable source of bioactive compounds, with the potential associated to PSCCs, for being included in food, cosmetic, and pharmaceutical applications.