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Metabolic Network Fluxes in Heterotrophic Arabidopsis Cells: Stability of the Flux Distribution under Different Oxygenation Conditions

机译:异养拟南芥细胞中的代谢网络通量:不同氧合条件下通量分布的稳定性

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摘要

Steady-state labeling experiments with [1-13C]Glc were used to measure multiple metabolic fluxes through the pathways of central metabolism in a heterotrophic cell suspension culture of Arabidopsis (Arabidopsis thaliana). The protocol was based on in silico modeling to establish the optimal labeled precursor, validation of the isotopic and metabolic steady state, extensive nuclear magnetic resonance analysis of the redistribution of label into soluble metabolites, starch, and protein, and a comprehensive set of biomass measurements. Following a simple modification of the cell culture procedure, cells were grown at two oxygen concentrations, and flux maps of central metabolism were constructed on the basis of replicated experiments and rigorous statistical analysis. Increased growth rate at the higher O2 concentration was associated with an increase in fluxes throughout the network, and this was achieved without any significant change in relative fluxes despite differences in the metabolite profile of organic acids, amino acids, and carbohydrates. The balance between biosynthesis and respiration within the tricarboxylic acid cycle was unchanged, with 38% ± 5% of carbon entering used for biosynthesis under standard O2 conditions and 33% ± 2% under elevated O2. These results add to the emerging picture of the stability of the central metabolic network and its capacity to respond to physiological perturbations with the minimum of rearrangement. The lack of correlation between the change in metabolite profile, which implied significant disruption of the metabolic network following the alteration in the oxygen supply, and the unchanging flux distribution highlights a potential difficulty in the interpretation of metabolomic data.
机译:用[1- 13 C] Glc进行稳态标记实验,通过拟南芥(Arabidopsis thaliana)异养细胞悬浮培养物中的中央代谢途径测量了多种代谢通量。该协议基于计算机模拟,以建立最佳的标记前体,验证同位素和代谢稳态,对标记重新分布为可溶性代谢物,淀粉和蛋白质的广泛核磁共振分析以及全面的生物量测量。在简单修改细胞培养程序后,细胞在两种氧气浓度下生长,并在重复实验和严格的统计分析基础上构建了中心代谢通量图。在较高的O2浓度下,生长速率的提高与整个网络中通量的增加有关,尽管有机酸,氨基酸和碳水化合物的代谢物谱存在差异,但相对通量没有任何显着变化即可实现。在三羧酸循环内,生物合成与呼吸之间的平衡保持不变,在标准O2条件下,有38%±5%的碳进入生物合成,而在高氧水平下,则有33%±2%的碳进入。这些结果为中央代谢网络的稳定性及其以最小的重排对生理扰动作出反应的能力增加了新的认识。代谢物特征的变化之间缺乏相关性,这暗示着氧气供应的变化后代谢网络的显着破坏,而通量分布的不变突出了在代谢组学数据解释中的潜在困难。

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