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Nanoparticle-mediated gene transformation strategies for plant genetic engineering.
Lv, Z, Jiang, R, Chen, J, Chen, W
The Plant journal : for cell and molecular biology. 2020;(4):880-891
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Abstract
Plant genetic engineering, a recent technological advancement in the field of plant science, is an important tool used to improve crop quality and yield, to enhance secondary metabolite content in medicinal plants or to develop crops for sustainable agriculture. A new approach based on nanoparticle-mediated gene transformation can overcome the obstacle of the plant cell wall and accurately transfer DNA or RNA into plants to produce transient or stable transformation. In this review, several nanoparticle-based approaches are discussed, taking into account recent advances and challenges to hint at potential applications of these approaches in transgenic plant improvement programs. This review also highlights challenges in implementing the nanoparticle-based approaches used in plant genetic engineering. A new technology that improves gene transformation efficiency and overcomes difficulties in plant regeneration has been established and will be used for the de novo production of transgenic plants, and CRISPR/Cas9 genome editing has accelerated crop improvement. Therefore, we outline future perspectives based on combinations of genome editing, nanoparticle-mediated gene transformation and de novo regeneration technologies to accelerate crop improvement. The information provided here will assist an effective exploration of the technological advances in plant genetic engineering to support plant breeding and important crop improvement programs.
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Insights into plant phosphate sensing and signaling.
Ham, BK, Chen, J, Yan, Y, Lucas, WJ
Current opinion in biotechnology. 2018;:1-9
Abstract
Phosphorus (P) is a macronutrient essential for plant growth, therefore, soil P level is critical to crop yield potential in agriculture. As Pi levels limit crop yield under many soil conditions, it is crucial to understand the mechanisms by which plants adapt to low-phosphate (Pi) soil conditions and interact with their soil microbiome to improve crop P use efficiency, in order to ensure global food security. Recent advances have been made towards achieving this goal through advancing our understanding of the plant's response to limiting Pi conditions to maintain P homeostasis. In this review, we assess advances made in local and systemic Pi sensing and signaling, and in the molecular events for Pi absorption, redistribution and plant-symbiont interactions. These findings offer important avenues for bio-engineering of agricultural crops with traits for enhanced Pi acquisition and utilization.
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A systems approach to plant bioprocess optimization.
Cloutier, M, Chen, J, De Dobbeleer, C, Perrier, M, Jolicoeur, M
Plant biotechnology journal. 2009;(9):939-51
Abstract
A dynamic model for plant cell metabolism was used as a basis for a rational analysis of plant production potential in in vitro cultures. The model was calibrated with data from 3-L bioreactor cultures. A dynamic sensitivity analysis framework was developed to analyse the response curves of secondary metabolite production to metabolic and medium perturbations. Simulation results suggest that a straightforward engineering of cell metabolism or medium composition might only have a limited effect on productivity. To circumvent the problem of the dynamic allocation of resources between growth and production pathways, the sensitivity analysis framework was used to assess the effect of stabilizing intracellular nutrient concentrations. Simulations showed that a stabilization of intracellular glucose and nitrogen reserves could lead to a 116% increase in the specific production of secondary metabolites compared with standard culture protocol. This culture strategy was implemented experimentally using a perfusion bioreactor. To stabilize intracellular concentrations, adaptive medium feeding was performed using model mass balances and estimations. This allowed for a completely automated culture, with controlled conditions and pre-defined decision making algorithm. The proposed culture strategy leads to a 73% increase in specific production and a 129% increase in total production, as compared with a standard batch culture protocol. The sensitivity analysis on a mathematical model of plant metabolism thus allowed producing new insights on the links between intracellular nutritional management and cell productivity. The experimental implementation was also a significant improvement on current plant bioprocess strategies.
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Kinetic metabolic modelling for the control of plant cells cytoplasmic phosphate.
Cloutier, M, Chen, J, Tatge, F, McMurray-Beaulieu, V, Perrier, M, Jolicoeur, M
Journal of theoretical biology. 2009;(1):118-31
Abstract
A previously developed kinetic metabolic model for plant metabolism was used in a context of identification and control of intracellular phosphate (Pi) dynamics. Experimental data from batch flask cultures of Eschscholtiza californica cells was used to calibrate the model parameters for the slow dynamics (growth, nutrition, anabolic pathways, etc.). Perturbation experiments were performed using a perfusion small-scale bioreactor monitored by in vivo(31)P NMR. Parameter identification for Pi metabolism was done by measuring the cells dynamic response to different inputs for extracellular Pi (two pulse-response experiments and a step-response experiment). The calibrated model can describe Pi translocation between the cellular pools (vacuole and cytoplasm). The effect of intracellular Pi management on ATP/ADP and phosphomonoesters concentrations is also described by the model. The calibrated model is then used to develop a control strategy on the cytoplasmic Pi pool. From the identification of the systems dynamics, a proportional-integral controller was designed and tuned. The closed-loop control was implemented in the small-scale NMR bioreactor and experimental results were in accordance with model predictions. Thus, the calibrated model is able to predict cellular behaviour for phosphate metabolism and it was demonstrated that it is possible to control the intracellular level of cytoplasmic Pi in plant cells.
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Altered ecosystem carbon and nitrogen cycles by plant invasion: a meta-analysis.
Liao, C, Peng, R, Luo, Y, Zhou, X, Wu, X, Fang, C, Chen, J, Li, B
The New phytologist. 2008;(3):706-714
Abstract
Plant invasion potentially alters ecosystem carbon (C) and nitrogen (N) cycles. However, the overall direction and magnitude of such alterations are poorly quantified. Here, 94 experimental studies were synthesized, using a meta-analysis approach, to quantify the changes of 20 variables associated with C and N cycles, including their pools, fluxes, and other related parameters in response to plant invasion. Pool variables showed significant changes in invaded ecosystems relative to native ecosystems, ranging from a 5% increase in root carbon stock to a 133% increase in shoot C stock. Flux variables, such as above-ground net primary production and litter decomposition, increased by 50-120% in invaded ecosystems, compared with native ones. Plant N concentration, soil NH+4 and NO-3 concentrations were 40, 30 and 17% higher in invaded than in native ecosystems, respectively. Increases in plant production and soil N availability indicate that there was positive feedback between plant invasion and C and N cycles in invaded ecosystems. Invasions by woody and N-fixing plants tended to have greater impacts on C and N cycles than those by herbaceous and nonN-fixing plants, respectively. The responses to plant invasion are not different among forests, grasslands, and wetlands. All of these changes suggest that plant invasion profoundly influences ecosystem processes.