BackgroundThe use of the desirability function approach combined with the response surface methodology (RSM), also called Desirability Optimization Methodology (DOM), has been successfully applied to solve medical, chemical, and technological questions. It is particularly efficient for the determination of the optimal conditions in natural or industrial processes involving different factors leading to the antagonist responses.ObjectivesSurprisingly, DOM has never been applied to the research programs devoted to the study of plant responses to the complex environmental changes, and thus to biotechnological questions.Materials and MethodsIn this article, DOM is used to study the response of Datura stramonium hairy roots (HRs), obtained by genetic transformation with Agrobacterium rhizogenes A4 strain, subjected to the jasmonate treatments.ResultsAntagonist effects on the growth and tropane alkaloid biosynthesis are confirmed. With a limited number of experimental conditions, it is shown that 0.06 mM jasmonic acid (JA) applied for 24 h leads to an optimal compromise. Hyoscyamine levels increase by up to 290% after 24 h and this treatment does not significantly inhibit biomass growth.ConclusionsIt is thus demonstrated that the use of DOM can efficiently - with a minimized number of replicates - leads to the optimization of the biotechnological processes.
This study characterizes three bacterial strains isolated from plant rhizospheres and evaluates their performance as plant-growth-promoting rhizobacteria. Pseudomonas plecoglossicida strain Pp20 was isolated from the rhizosphere of a date palm in Bechar (Algerian Sahara), Bacillus spec. strain Bt04 isolated from the rhizosphere of pear in Ghardaia (Algerian Sahara) and Lysinibacillus fusiformis strain Lf89 was isolated from the rhizosphere of tomato in Ain Defla (northern Algeria). Their effects on plant growth and development were analyzed in different in vitro cultures: an Arabidopsis thaliana plate assay and two hydroponic systems for Datura stramonium and Datura tatula. Our results show that all strains significantly improve plant growth of the plant species tested and some strains produce a shift in the C/N ratio in A. thaliana. Inoculation had no effect on alkaloid production per gram leaf dry weight in D. stramonium, but specific plant-growth-promoting rhizobacteria interactions may alter the alkaloid composition in the shoot.
ARTICLE HISTORY
Plant secondary metabolites play a major role in plant adaptation to stress. Species belonging to Solanaceae family and Datura genus produce tropane alkaloids: D. stramonium, D. tatula and D. innoxia. These species are cultivated for their hyoscyamine (HS) content, whence the interest of this study to induce transformed roots of these species with strain A4 of Agrobacterium rhizogenes. Hairy roots (HRs) of Datura were established at high frequency by infecting vitroplants. All HRs (343 independent lines) were next employed to study the production of HS and growth. A screening of HRs alkaloid content by GC/MS is performed; it reveals, for the first time, the production of 13 alkaloids by the selected root lines. The selection of high productive line offers an interesting option to enhance the productivity. As HS is the dominant compound, the lines of Datura species were selected for their characteristics for biomass and HS production. The elicitors salicylic acid (SA) and acetyl salicylic acid (ASA) were also used to increase HS production. The results showed that the optimal concentration of the two elicitors (AS and ASA) was 0.1 mM. The highest HS content (17.94 ± 0.14 mg g−1 D.W.) obtained in HRs of D. tatula treated with 0.1 mM of acetyl salicylic acid.
Traditionally, optimization in biological analyses has been carried out by monitoring the influence of one factor at a time; this technique is called one-variable-at-a-time. The disadvantage of this technique is that it does not include any interactive effects among the variables studied and requires a large number of experiments. Therefore, in recent years, the Response Surface Methodology (RSM) has become the most popular optimization method. It is an effective mathematical and statistical technique which has been widely used in optimization studies with minimal experimental trials where interactive factors may be involved. This present study follows on from our previous work, where RSM was used to optimize the B5 medium composition in [NO3−], [Ca2+] and sucrose to attain the best production of hyoscyamine (HS) from the hairy roots (HRs) of Datura stramonium elicited by Jasmonic Acid (JA). The present paper focuses on the use of the RSM in biological studies, such as plant material, to establish a predictive model with the planning of experiments, analysis of the model, diagnostics and adjustment for the accuracy of the model. With the RSM, only 20 experiments were necessary to determine optimal concentrations. The model could be employed to carry out interpolations and predict the response to elicitation. Applying this model, the optimization of the HS level was 212.7% for the elicited HRs of Datura stramonium, cultured in B5-OP medium (optimized), in comparison with elicited HRs cultured in B5 medium (control). The optimal concentrations, under experimental conditions, were determined to be: 79.1 mM [NO3−], 11.4 mM [Ca2+] and 42.9 mg/L of sucrose.
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