Application of genetics and biotechnology for improving medicinal plants

Niazian, Mohsen

doi:10.1007/s00425-019-03099-1

Cited by 142 publications

(76 citation statements)

References 179 publications

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“…Growing cells with 100 rpm induces oxygen deficit stress, while 400 rpm negatively affects viability of cells, which was the consequence of hydrodynamic stress. Nevertheless, liquid cultures are one of the most important branches of tissue cultures in biotechnology of medical plants, and the selection of specific conditions is the crucial for both studying of plant response to stress factors and obtaining large quantities of plant material for medical purposes [36]. In the presented research, we proved that LM with rotary shaking is an effective system for D. muscipula propagation and synthesis of valuable, biologically active, phenolic compounds.…”

Section: The Effect Of Shaking On Plant Growth and Secondary Metabolimentioning

confidence: 59%

Elicitation-Based Method for Increasing the Production of Antioxidant and Bactericidal Phenolic Compounds in Dionaea muscipula J. Ellis Tissue

Makowski

Tokarz

et al. 2020

Molecules

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The carnivorous plant Dionaea muscipula J. Ellis (Venus flytrap) is a widely known medical herb, capable of producing various phenolic compounds known for their strong antioxidant and antibacterial properties. In the pharmaceutical industry, Venus flytrap is grown in tissue cultures, as the natural population of D. muscipula is very limited. Here, we describe an improved method to increase the quantity and quality of phenolic compounds produced in D. muscipula. This is achieved by combining biotic elicitation (using Cronobacter sakazakii bacteria lysate) of D. muscipula cultured with rotary shaking (hydromechanical stress), which we describe here for the first time. The antibacterial activity and the antioxidant properties of the obtained compounds were studied on two antibiotic-resistant human pathogenic bacteria. The proposed plant culture conditions resulted in an increase in fresh weight, as well as a higher total phenolic content, in comparison to traditional tissue cultures on agar-solidified medium. With the use of high-performance liquid chromatography, we demonstrated that the described elicitation strategy leads to an increased synthesis of myricetin, caffeic acid, ellagic acid and plumbagin in D. muscipula tissue. We also found that a higher level of antioxidant activity, exhibited by the plant extract, corresponded with its higher phenylpropanoid content. The bactericidal activity of the extract against Staphylococcus aureus was dependent on the duration of plant culture under described elicitation conditions, whereas neither elicitation condition (duration or elicitor concentration) seemed relevant for the bactericidal activity of the extract towards Escherichia coli. This suggest that Gram-negative bacteria are less sensitive to compounds derived from Venus flytrap tissue.

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Section: The Effect Of Shaking On Plant Growth and Secondary Metabolimentioning

confidence: 59%

Elicitation-Based Method for Increasing the Production of Antioxidant and Bactericidal Phenolic Compounds in Dionaea muscipula J. Ellis Tissue

Makowski

Tokarz

et al. 2020

Molecules

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“…Agrobacterium strains play a pivotal role in gene transformation [ 8 ]. Several studies showed that successfulness in chrysanthemum gene transformation directly depends on selecting a suitable strain [ 5 , 9 ].…”

Section: Discussionmentioning

confidence: 99%

“…Many factors such as in vitro regeneration parameters (temperature, type and age of explant, quality and intensity of light, type and concentration of plant growth regulators, medium compositions), bacterial optical cell density, antibiotic and chemical stimulants concentrations, and inoculation duration (immersion time), play an important role in the efficiency of gene transformation [ 5 ]. Establishing an optimized protocol for genetic Agrobacterium -mediated transformation can be considered as a highly complex system, and it is critical to comprehend the effect of different factors prompting the T-DNA delivery into various explants [ 5 , 8 ]. Subsequently, further analyses are essential to check T-DNA integration and stability and to achieve the efficiency parameter of gene transformation [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Forecasting and optimizing Agrobacterium-mediated genetic transformation via ensemble model- fruit fly optimization algorithm: A data mining approach using chrysanthemum databases

et al. 2020

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Optimizing the gene transformation factors can be considered as the first and foremost step in successful genetic engineering and genome editing studies. However, it is usually difficult to achieve an optimized gene transformation protocol due to the cost and time-consuming as well as the complexity of this process. Therefore, it is necessary to use a novel computational approach such as machine learning models for analyzing gene transformation data. In the current study, three individual machine learning models including Multi-Layer Perceptron (MLP), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Radial Basis Function (RBF) were developed for forecasting Agrobacterium-mediated gene transformation in chrysanthemum based on eleven input variables including Agrobacterium strain, optical density (OD), co-culture period (CCP), and different antibiotics including kanamycin (K), vancomycin (VA), cefotaxime (CF), hygromycin (H), carbenicillin (CA), geneticin (G), ticarcillin (TI), and paromomycin (P). Consequently, best-obtained results were used in the fusion process by bagging method. Results showed that ensemble model with the highest R 2 (0.83) had superb performance in comparison with all other individual models (MLP:063, RBF:0.69, and ANFIS: 0.74) in the validation set. Also, ensemble model was linked to Fruit fly optimization algorithm (FOA) for optimizing gene transformation, and the results showed that the maximum gene transformation efficiency (37.54%) can be achieved from EHA105 strain with 0.9 OD 600 , for 3.8 days CCP, 46.43 mg/l P, 9.54 mg/l K, 18.62 mg/l H, and 4.79 mg/l G as selection antibiotics and 109.74 μg/ml VA, 287.63 μg/ml CF, 334.07 μg/ml CA and 87.36 μg/ml TI as antibiotics in the selection medium. Moreover, sensitivity analysis demonstrated that input variables have a different degree of importance in gene transformation system in the order of Agrobacterium strain > CCP > K > CF > VA > P > OD > CA > H > TI > G. Generally, the developed hybrid model in this study (ensemble model-FOA) can be employed as an accurate and reliable approach in future genetic engineering and genome editing studies.

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“…There are more than 250,000 plant species in world with unique secondary constituents [36], however, only few of them have been investigated for their potential value as a drug. Furthermore, medicinal plants typically contain mixtures of different phytochemicals that may act individually, additively or in synergy to improve health [37] and enhance mood and give a sense of well-being [38]. Now we have enough scientific reasons for using TM/CAM as a more effective therapy in comparison to conventional medicines.…”

Section: Traditional Medicinementioning

confidence: 99%

Naturally Derived Formulations and Prospects towards Cancer

Masarkar¹,

Mukherjee²,

Goel³

et al. 2019

Health

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Traditional Medicine (TM) and their secondary metabolites are being increasingly recognized as useful complementary treatments toward the cancer. A large number of clinical studies have reported and proven concern of cancer patients. Here we have also reported recent studies on the biochemical and cellular mechanisms of Traditional Medicine (TM). Nowadays, Chemotherapy and surgery are standard methods for treatment of cancer, but still it's not been fully successful. Some progress has been made in cancer diagnosis and treatment, but high incidence rate of cancer and low survival rate of patient are still being reported worldwide. Since ancient times, a number of traditional medicines known as Ayurveda, Siddha, Unani, Iranian, Chinese, Korean, acupuncture, Muti, Ifa, and African medicine are widely used for therapeutic purposes and are becoming popular as Traditional Medicine (TM). It has been reported that plants synthesize plethora of "secondary metabolites" or "phytochemicals", proven to possess anti-mutagenic and anti-cancer properties in many research studies. There are many possibilities for further organized research for screening of medicinal plants for their potential and efficacy against chronic diseases such as a cancer and other inflammatory diseases. Therefore, researcher's interest should be in identification and standardization of new anti-cancer drug with low side effects and greater efficacy, that is easily acceptable in medical community and which may overcome the challenges in present and future cancer therapy. This review explores therapeutic value of certain bio-active principals of plant which could serve as potential pharmacologically active drug for treatment of cancer in future.

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Application of genetics and biotechnology for improving medicinal plants

Cited by 142 publications

References 179 publications

Elicitation-Based Method for Increasing the Production of Antioxidant and Bactericidal Phenolic Compounds in Dionaea muscipula J. Ellis Tissue

Elicitation-Based Method for Increasing the Production of Antioxidant and Bactericidal Phenolic Compounds in Dionaea muscipula J. Ellis Tissue

Forecasting and optimizing Agrobacterium-mediated genetic transformation via ensemble model- fruit fly optimization algorithm: A data mining approach using chrysanthemum databases

Naturally Derived Formulations and Prospects towards Cancer

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