Content of phenolic acids in callus culture of alfalfa (Medicago sativa): The effect of age and biochemical differentiation

1988 ◽  
Vol 30 (5) ◽  
pp. 321-326 ◽  
Author(s):  
Marie HrubcovÁ ◽  
Milena CvikrovÁ ◽  
F. Pospíšil ◽  
L. Meravý ◽  
J. Eder
1990 ◽  
Vol 32 (3) ◽  
pp. 161-170 ◽  
Author(s):  
Milena Cvikrová ◽  
L. Meravý ◽  
Marie Hrubcová ◽  
J. Eder

2020 ◽  
Vol 16 (6) ◽  
pp. 937-941
Author(s):  
Sharad Vats ◽  
Preeti Mehra

Background: Vector-borne diseases are quite prevalent globally and are one of the major causes of deaths due to infectious diseases. There is an availability of synthetic insecticides, however, their excessive and indiscriminate use have resulted in the emergence of resistant varieties of insects. Thus, a search for novel biopesticide has become inevitable. Methods: Rotenoids were isolated and identified from different parts of Medicago sativa L. This group of metabolites was also identified in the callus culture, and the rotenoid content was monitored during subculturing for a period of 10 months. Enhancement of the rotenoid content was evaluated by feeding precursors in a tissue culture medium. Results: Four rotenoids (elliptone, deguelin, rotenone and Dehydrorotenone) were identified, which were confirmed using spectral and chromatographic techniques. The maximum rotenoid content was found in the seeds (0.33±0.01%), followed by roots (0.31±0.01%) and minimum in the aerial parts (0.20±0.05%). A gradual decrease in the rotenoid content was observed with the ageing of subcultured tissue maintained for 10 months. The production of rotenoids was enhanced up to 2 folds in the callus culture using amino acids, Phenylalanine and Methionine as precursors as compared to the control. The LC50 value of the rotenoids was found to be 91 ppm and 162 ppm against disease vectors of malaria and Dracunculiasis, respectively. Conclusion: The study projects M. sativa as a novel source of biopesticide against the disease vectors of malaria and Dracunculiasis. The use of precursors to enhance the rotenoid content in vitro can be an effective venture from a commercial point of view.


1994 ◽  
Vol 91 (2) ◽  
pp. 226-233 ◽  
Author(s):  
Milena Cvikrova ◽  
Marie Hrubcova ◽  
Martin Vagner ◽  
Ivana Machackova ◽  
Josef Eder

1994 ◽  
Vol 91 (2) ◽  
pp. 226-233 ◽  
Author(s):  
Milena Cvikrova ◽  
Marie Hrubcova ◽  
Martin Vagner ◽  
Ivana Machackova ◽  
Josef Eder

2021 ◽  
Author(s):  
Rezvan Ramezannejad ◽  
Morteza Mofid Bojnoordi ◽  
Mohammad Armin ◽  
Mahnaz Aghdasi

Abstract The present study aims to model and optimize phenolic acids productions from Lactuca undulate root and leaf-derived callus using the feed-forward Artificial Neural Network (ANN) model. For this purpose, the effect of different concentrations (0, 0.1, 0.5, 1, and 2 mg/l) of Kin in combinations with or without 2,4-D and/or NAA was investigated on callus induction and phenolic acids production. A multi-layer perceptron ANN was applied to correlate the output parameters (cichoric acid, chlorogenic acid and caffeic acid contents) to input (Kin, 2,4-D and NAA) training parameters. A single hidden layer with 5, 10, 15, 20, 25, 30, 35 and 40 neurons was used to optimize ANN architecture. Sum squared error (SSE), Relative Error (RE) and correlation factor (R2) were applied to identify the performance of ANN models. According to the obtained data, the feed-forward neural network with tangent-sigmoid (3-30-1), tangent-tangent (3-15-1) and tangent-tangent (3-35-1) activation function was found as the best model to predict cichoric acid, chlorogenic acid and caffeic acid production from leaf-derived callus, respectively. Meanwhile, ANN with activation function of tangent-tangent (3-20-1), tangent-tangent (3-25-1) and sigmoid-sigmoid (3-20-1) were the most effective models to predict the amount of cichoric acid, chlorogenic acid and caffeic acid from root-derived callus, respectively. In the current study, there was a strong correlation between experimental and predicted data. These results demonstrated that the selected ANN model could predict the effects of plant growth regulators on phenolic acids production using callus culture method.


Plants ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 278 ◽  
Author(s):  
Ankush Sangra ◽  
Lubana Shahin ◽  
Sarwan K. Dhir

Alfalfa (Medicago sativa) is one of the most important forage legume crops because of its mass production and high feeding value. It originated in Asia and is one of the most ancient plants cultivated throughout the world as a fodder. Despite the well-studied somatic embryogenesis of alfalfa, there is a lack of a long-term maintainable somatic embryogenic system. Every time an embryogenic callus culture must be started from new explants, which is laborious, costly and time consuming. In addition to this, endogenous microorganisms present in ex vitro explants of alfalfa can often cause contamination, reducing the efficiency of callus culture. An attempt was made to establish long-term continuous somatic embryogenesis system in alfalfa using cultivar Regen-SY. Nine somatic embryogenesis pathways were studied and evaluated for embryo yield, plant conversion rate and embryogenic sustainability. Somatic embryos passed through the same stages (globular, heart-shaped, torpedo and cotyledonary) as characteristic of the zygotic embryo and secondary somatic embryogenesis was also observed. B5H-B5 system showed the highest embryo yield and plant conversion rate whereas SH4K-BOi2Y system demonstrated the highest embryogenic sustainability and maintained the embryogenic potential even after six subculture cycles. Scanning electron microscopy was applied to study the morphology of the somatic embryos and secondary somatic embryogenesis. Therefore, long-term maintainable somatic embryogenesis system protocol was developed through this study, which will help to enhance and accelerate the alfalfa biotechnology research.


1980 ◽  
Vol 19 (4) ◽  
pp. 651-657 ◽  
Author(s):  
Vilas K. Newby ◽  
Rose-Marie Sablon ◽  
Richard L.M. Synge ◽  
Karel Vande Casteele ◽  
Christiaan F. Van Sumere

1996 ◽  
Vol 96 (4) ◽  
pp. 585-592 ◽  
Author(s):  
Randal W. Giroux ◽  
K. Peter Pauls

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