Analysis and Optimization of C3 Photosynthetic Carbon Metabolism

Giovanni Stracquadanio, R. Umeton, A. Papini, P. Lio’, Giuseppe Nicosia
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引用次数: 13

Abstract

We have studied the $\mathbf{C_3}$ photosynthetic carbon metabolism centering our investigation on the following four design principles. (1) Optimization of the photosynthetic rate by modifying the partitioning of resources between the different enzymes of the $\mathbf{C_3}$ photosynthetic carbon metabolism using a constant amount of protein-nitrogen. (2) Identify sensitive and less sensitive enzymes of the studied model. (3) Maximize photosynthetic productivity rate through the choice of robust enzyme concentrations using a new precise definition of robustness. (4) Modeling photosynthetic carbon metabolism as a multi-objective problem of two competing biological selection pressures: light-saturated photosynthetic rate versus total protein-nitrogen requirement. Using the designed single-objective optimization algorithms, PAO and A-CMA-ES, we have obtained an increase in photosynthetic productivity of the $\mathbf{135\%}$ from 15.486 $\mathbf{\mu mol~m^{-2}s^{-1}}$ to $\mathbf{36.382~\mu mol~m ^{-2}s^{-1}}$, and improving the previous best-found photosynthetic productivity value ($\mathbf{27.261}$ $\mathbf{\mu mol~m ^{-2}s^{-1}}$, $\mathbf{76\%}$ of enhancement). Optimized enzyme concentrations express a maximal local robustness ($\mathbf{100\%}$) and a high global robustness ($\mathbf{97.2\%}$), satisfactory properties for a possible ``in vitro'' manufacturing of the optimized pathway. Morris sensitivity analysis shows that 11 enzymes over 23 are high sensitive enzymes, i.e., the most influential enzymes of the carbon metabolism model. Finally, we have obtained the trade-off between the maximization of the leaf $\mathbf{CO_2}$ uptake rate and the minimization of the total protein-nitrogen concentration. This trade-off search has been carried out for the three $\mathbf{c_i}$ concentrations referring to the estimate of $\mathbf{CO_2}$ concentration in the atmosphere characteristic of 25 million years ago, nowadays and in 2100 a.C. Remarkably, the three Pareto frontiers identify the highest photosynthetic productivity rates together with the fewest protein-nitrogen usage.
C3光合碳代谢的分析与优化
我们围绕以下四个设计原则研究了$\mathbf{C_3}$光合碳代谢。(1)利用一定量的蛋白质-氮,通过改变$\mathbf{C_3}$光合碳代谢不同酶之间的资源分配来优化光合速率。(2)鉴定所研究模型的敏感酶和不敏感酶。(3)使用新的精确的稳健性定义,通过选择稳健性酶浓度来最大化光合生产力。(4)将光合碳代谢建模为两个相互竞争的生物选择压力的多目标问题:光饱和光合速率与总蛋白质氮需要量。利用所设计的单目标优化算法、PAO和A-CMA-ES,我们得到$\mathbf{135%}$的光合效率从$\mathbf{15.486 $\mathbf{\mu mol~m^{-2}s^{-1} $提高到$\mathbf{36.382~\mu mol~m^{-2}s^{-1} $,提高了$\mathbf{27.261}$ \mathbf{\mu mol~m^{-2}}$,提高了$\mathbf{76\%}$。优化后的酶浓度具有最大的局部鲁棒性($\mathbf{100%}$)和较高的全局鲁棒性($\mathbf{97.2%}$),对于优化途径的可能“体外”制造具有令人满意的性质。Morris敏感性分析表明,23个酶中有11个是高敏感酶,即对碳代谢模型影响最大的酶。最后,我们得到了叶片$\mathbf{CO_2}$吸收率最大化与总蛋白氮浓度最小化之间的权衡关系。根据2500万年前、现在和2100年的大气特征中$\mathbf{c_i}$浓度的估计,对三个$\mathbf{c_i}$浓度进行了权衡搜索。值得注意的是,三个帕累托边界确定了最高的光合生产力和最低的蛋白质-氮利用率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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