Coupling kinetic models and advection–diffusion equations. 2. Sensitivity analysis of an advection–diffusion–reaction model

IF 2.6 Q1 AGRONOMY in silico Plants Pub Date : 2021-01-01 DOI:10.1093/INSILICOPLANTS/DIAB014
L. Uys, J. Hofmeyr, J. Rohwer
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引用次数: 3

Abstract

The accompanying paper (Uys et al., in silico Plants, 2021: diab013) presented a core model of sucrose accumulation within the advection–diffusion–reaction framework, which is able to capture the spatio-temporal evolution of the system from a set of initial conditions. This paper presents a sensitivity analysis of this model. Because this is a non-steady-state model based on partial differential equations, we performed the sensitivity analysis using two approaches from engineering. The Morris method is based on a one-at-a-time design, perturbing parameters individually and calculating the influence on model output in terms of elementary effects. Fourier amplitude sensitivity test (FAST) is a global sensitivity analysis method, where all parameters are perturbed simultaneously, oscillating at different frequencies, enabling the calculation of the contribution of each parameter through Fourier analysis. Overall, both methods gave similar results. Perturbations in reactions tended to have a large influence on their own rate, as well as on directly connected metabolites. Sensitivities varied both with the time of the simulation and the position along the sugarcane stalk. Our results suggest that vacuolar sucrose concentrations are most sensitive to vacuolar invertase in the centre of the stalk, but that phloem unloading and vacuolar sucrose uptake also contribute, especially towards the stalk edges. Sucrose in the phloem was most sensitive to phloem loading at the nodes, but most sensitive to phloem unloading in the middle of the internodes. Sink concentrations of sucrose in the symplast were most sensitive to phloem unloading in the middle of the internodes, but at the nodes cytosolic invertase had the greatest effect.
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耦合动力学模型和平流-扩散方程。2.平流-扩散-反应模型的灵敏度分析
随附的论文(Uys等人,发表于silico Plants,2021:diab013)提出了一个平流-扩散-反应框架内蔗糖积累的核心模型,该模型能够从一组初始条件捕捉系统的时空演化。本文对该模型进行了敏感性分析。由于这是一个基于偏微分方程的非稳态模型,我们使用两种工程方法进行了灵敏度分析。Morris方法基于一次一次的设计,单独扰动参数,并根据基本效应计算对模型输出的影响。傅立叶振幅灵敏度测试(FAST)是一种全局灵敏度分析方法,其中所有参数都同时受到扰动,以不同的频率振荡,从而能够通过傅立叶分析计算每个参数的贡献。总的来说,两种方法都给出了相似的结果。反应中的扰动往往对其自身的速率以及直接连接的代谢物有很大影响。敏感性随模拟时间和沿甘蔗茎的位置而变化。我们的结果表明,液泡蔗糖浓度对茎中心的液泡转化酶最敏感,但韧皮部卸载和液泡蔗糖吸收也有贡献,尤其是在茎边缘。韧皮部的蔗糖对节部的韧皮部负荷最敏感,但对节中部的韧皮部卸载最敏感。合胞体的蔗糖库浓度对节中部的韧皮部卸载最敏感,而胞质转化酶对节中部韧皮部卸载的影响最大。
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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来源期刊
in silico Plants
in silico Plants Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
4.70
自引率
9.70%
发文量
21
审稿时长
10 weeks
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