Background: The 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 effi cient for the determination of the optimal conditions in natural or industrial processes involving diff erent factors leading to the antagonist responses.Objectives: Surprisingly, 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 Methods: In 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.Results: Antagonist eff ects on the growth and tropane alkaloid biosynthesis are confi rmed. 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.Conclusions: It 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.

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.