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DESICCATION–REHYDRATION STRESS REVEALED BY SUGAR-METABOLITE-RESERVE MODEL
Journal of Biological Systems ( IF 1.6 ) Pub Date : 2021-03-15 , DOI: 10.1142/s0218339021400052 JULIANA M. BERBERT 1 , KAREN A. OLIVEIRA 1, 2 , RAFAELA F. MARTIN 1 , DANILO C. CENTENO 3
Journal of Biological Systems ( IF 1.6 ) Pub Date : 2021-03-15 , DOI: 10.1142/s0218339021400052 JULIANA M. BERBERT 1 , KAREN A. OLIVEIRA 1, 2 , RAFAELA F. MARTIN 1 , DANILO C. CENTENO 3
Affiliation
We focus on the evaluation of photosynthetic organisms. Some species and tissues can endure periods of the dry season because they rely on a robust dynamics of metabolites. The metabolic dynamics are complex and challenging to address because it involves several steps, usually with hundreds of metabolites. The metabolites densities vary among species and tissues and respond to external conditions, such as an environmental stimulus like water supply. Understanding these responses, particularly the desiccation–rehydration processes, are important both economically and evolutionarily, especially in the presence of climate change. Therefore, we propose a new way to analyze the dynamics of metabolites with a compartmental model which explores the metabolites densities’ dependence on water explicitly. We use a mathematical formulation to model the dynamics among three essential metabolites classes: sugar (S ), active metabolite (A ), and reserve accumulation (R ). Through stability analysis and numerical solutions, we characterize regions on the phase space, defined by the transition rates between the classes S to A and S to R , where the system diverges or approaches zero. We show that different species and tissues respond distinctly to desiccation processes, being more or less resilient according to the transitions rate between the compartments of the model. Furthermore, the effects of water supply fluctuation, due to the desiccation–rehydration processes, show that unless the organism has a robust reservoir metabolism, the system cannot support itself for a long time. Many results corroborate experimental observations, and others provide a new perspective on the studies of metabolic dynamics, such as the significance of the reservoir metabolism. We understand that knowing the organism’s response to abiotic changes, particularly that of the water supply, may improve our management of the use of these organisms, for example, in the crop field during climate changes.
中文翻译:
糖-代谢物-储量模型揭示的干燥-再水化胁迫
我们专注于光合生物的评估。一些物种和组织可以忍受旱季的时期,因为它们依赖于强大的代谢物动力学。代谢动力学复杂且难以解决,因为它涉及多个步骤,通常包含数百种代谢物。代谢物的密度因物种和组织而异,并对外部条件做出反应,例如供水等环境刺激。了解这些反应,特别是干燥-再水化过程,在经济和进化上都很重要,尤其是在存在气候变化的情况下。因此,我们提出了一种使用分区模型分析代谢物动力学的新方法,该模型明确地探索了代谢物密度对水的依赖性。小号 ), 活性代谢物 (一种 ) 和储备积累 (R )。通过稳定性分析和数值解,我们描述了相空间上的区域,由类之间的转换率定义小号 到一种 和小号 到R ,其中系统发散或接近零。我们表明,不同的物种和组织对干燥过程有明显的反应,根据模型隔间之间的转换率或多或少有弹性。此外,由于脱水-再水化过程引起的供水波动的影响表明,除非生物体具有强大的水库代谢,否则系统无法长时间维持自身。许多结果证实了实验观察,其他结果为代谢动力学研究提供了新的视角,例如储层代谢的重要性。我们知道,了解生物体对非生物变化的反应,尤其是对供水的反应,可能会改善我们对这些生物体使用的管理,例如,在气候变化期间的农田中。
更新日期:2021-03-15
中文翻译:
糖-代谢物-储量模型揭示的干燥-再水化胁迫
我们专注于光合生物的评估。一些物种和组织可以忍受旱季的时期,因为它们依赖于强大的代谢物动力学。代谢动力学复杂且难以解决,因为它涉及多个步骤,通常包含数百种代谢物。代谢物的密度因物种和组织而异,并对外部条件做出反应,例如供水等环境刺激。了解这些反应,特别是干燥-再水化过程,在经济和进化上都很重要,尤其是在存在气候变化的情况下。因此,我们提出了一种使用分区模型分析代谢物动力学的新方法,该模型明确地探索了代谢物密度对水的依赖性。