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首页> 外文期刊>BMC Systems Biology >Modeling the dependence of respiration and photosynthesis upon light, acetate, carbon dioxide, nitrate and ammonium in Chlamydomonas reinhardtii using design of experiments and multiple regression
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Modeling the dependence of respiration and photosynthesis upon light, acetate, carbon dioxide, nitrate and ammonium in Chlamydomonas reinhardtii using design of experiments and multiple regression

机译:使用实验设计和多元回归模型对莱茵衣藻中呼吸和光合作用对光,乙酸盐,二氧化碳,硝酸盐和铵的依赖性进行建模

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Background In photosynthetic organisms, the influence of light, carbon and inorganic nitrogen sources on the cellular bioenergetics has extensively been studied independently, but little information is available on the cumulative effects of these factors. Here, sequential statistical analyses based on design of experiments (DOE) coupled to standard least squares multiple regression have been undertaken to model the dependence of respiratory and photosynthetic responses (assessed by oxymetric and chlorophyll fluorescence measurements) upon the concomitant modulation of light intensity as well as acetate, CO2, nitrate and ammonium concentrations in the culture medium of Chlamydomonas reinhardtii. The main goals of these analyses were to explain response variability (i.e. bioenergetic plasticity) and to characterize quantitatively the influence of the major explanatory factor(s). Results For each response, 2 successive rounds of multiple regression coupled to one-way ANOVA F-tests have been undertaken to select the major explanatory factor(s) (1st-round) and mathematically simulate their influence (2nd-round). These analyses reveal that a maximal number of 3 environmental factors over 5 is sufficient to explain most of the response variability, and interestingly highlight quadratic effects and second-order interactions in some cases. In parallel, the predictive ability of the 2nd-round models has also been investigated by k-fold cross-validation and experimental validation tests on new random combinations of factors. These validation procedures tend to indicate that the 2nd-round models can also be used to predict the responses with an inherent deviation quantified by the analytical error of the models. Conclusions Altogether, the results of the 2 rounds of modeling provide an overview of the bioenergetic adaptations of C. reinhardtii to changing environmental conditions and point out promising tracks for future in-depth investigations of the molecular mechanisms underlying the present observations.
机译:背景技术在光合生物中,已经广泛地单独研究了光,碳和无机氮源对细胞生物能学的影响,但是关于这些因素的累积作用的信息很少。在这里,已经进行了基于实验设计(DOE)并结合标准最小二乘多元回归的顺序统计分析,以模拟呼吸和光合作用响应(通过氧合和叶绿素荧光测量评估)对光强度的伴随调制的依赖性。莱茵衣藻培养基中的乙酸盐,CO 2 ,硝酸盐和铵的浓度。这些分析的主要目的是解释反应变异性(即生物能可塑性)并定量表征主要解释因素的影响。结果对于每个响应,已经进行了2次连续的多次回归和单向ANOVA F检验,以选择主要的解释因素(第一轮)并数学模拟其影响力(第二轮)。这些分析表明,超过5个的最多3个环境因子足以解释大多数响应变异性,并且有趣地突出了某些情况下的二次效应和二阶相互作用。同时,还通过k倍交叉验证和针对新的随机因素组合的实验验证测试研究了第二轮模型的预测能力。这些验证程序倾向于表明,第二轮模型也可用于预测响应,该响应具有通过模型的分析误差量化的固有偏差。结论总之,两轮建模的结果概述了莱茵衣藻对不断变化的环境条件的生物能适应性,并指出了有前途的轨道,可用于今后深入研究目前观察结果的分子机制。

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