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代谢建模确定了烟草中工程化甘氨酸甜菜碱合成途径的关键限制因素。

Metabolic modeling identifies key constraints on an engineered glycine betaine synthesis pathway in tobacco.

作者信息

McNeil S D, Rhodes D, Russell B L, Nuccio M L, Shachar-Hill Y, Hanson A D

机构信息

Horticultural Sciences Department, University of Florida, Gainesville, Florida 32611, USA.

出版信息

Plant Physiol. 2000 Sep;124(1):153-62. doi: 10.1104/pp.124.1.153.

Abstract

Previous work has shown that tobacco (Nicotiana tabacum) plants engineered to express spinach choline monooxygenase in the chloroplast accumulate very little glycine betaine (GlyBet) unless supplied with choline (Cho). We therefore used metabolic modeling in conjunction with [(14)C]Cho labeling experiments and in vivo (31)P NMR analyses to define the constraints on GlyBet synthesis, and hence the processes likely to require further engineering. The [(14)C]Cho doses used were large enough to markedly perturb Cho and phosphocholine pool sizes, which enabled development and testing of models with rates dynamically responsive to pool sizes, permitting estimation of the kinetic properties of Cho metabolism enzymes and transport systems in vivo. This revealed that import of Cho into the chloroplast is a major constraint on GlyBet synthesis, the import rate being approximately 100-fold lower than the rates of Cho phosphorylation and transport into the vacuole, with which import competes. Simulation studies suggested that, were the chloroplast transport limitation corrected, additional engineering interventions would still be needed to achieve levels of GlyBet as high as those in plants that accumulate GlyBet naturally. This study reveals the rigidity of the Cho metabolism network and illustrates how computer modeling can help guide rational metabolic engineering design.

摘要

先前的研究表明,经基因工程改造以在叶绿体中表达菠菜胆碱单加氧酶的烟草(Nicotiana tabacum)植株,除非供给胆碱(Cho),否则积累的甘氨酸甜菜碱(GlyBet)极少。因此,我们结合[¹⁴C]Cho标记实验和体内³¹P NMR分析,运用代谢建模来确定对GlyBet合成的限制因素,进而确定可能需要进一步工程改造的过程。所使用的[¹⁴C]Cho剂量足以显著扰乱Cho和磷酸胆碱库的大小,这使得能够开发和测试对库大小具有动态响应速率的模型,从而能够在体内估计Cho代谢酶和转运系统的动力学特性。这表明,Cho向叶绿体的导入是GlyBet合成的主要限制因素,其导入速率比Cho磷酸化和向液泡转运的速率低约100倍,且导入过程与之存在竞争。模拟研究表明,即使叶绿体转运限制得到纠正,仍需要额外的工程干预措施,才能使GlyBet水平达到天然积累GlyBet的植物中的水平。这项研究揭示了Cho代谢网络的刚性,并说明了计算机建模如何有助于指导合理的代谢工程设计。

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