Metabolic flux analysis of secondary metabolism in plants
Metabolic flux analysis of secondary metabolism in plants
复制标题
植物次生代谢的代谢通量分析
DOI：
10.1016/j.mec.2020.e00123
复制
发表时间：
2020
影响因子：
5.2
通讯作者：
Morgan, John A.
中科院分区：
文献类型：
--
作者：
Shih, Meng-Ling;Morgan, John A.
植物的许多次生代谢产物具有重要的药用、营养或感官特性。近年来，植物次生代谢途径的基因和酶的研究取得了重大进展。因此，人们对使用合成生物学来增强植物中目标有价值代谢物的产生感兴趣。在这篇文章中，我们研究的贡献，代谢通量分析将通知代谢工程目标的合理选择，以及碳和能源效率的分析。与微生物相比，植物具有更复杂的组织、细胞和亚细胞组织，这使得精确的代谢物浓度测量更具挑战性。我们回顾了不同的技术参与量化通量，并提供示例说明的技术的应用。对于导致最终产物转化率低的线性和分支途径，通量定量是直接的，不需要同位素标记。然而，对于通过平行途径合成的代谢物，需要进行同位素标记实验。如果进料同位素标记的碳不混乱，则需要应用瞬时标记平衡方法。在瞬态情况下，还需要测量代谢物浓度。虽然通量分析不能直接识别调控机制，但它是一种强大的工具，可以检查中间代谢中关键代谢节点的通量分布，检测浪费侧途径的通量，并显示在各种生理条件下野生型和工程植物中平行途径如何处理通量。
Numerous secondary metabolites from plants are important for their medicinal, nutraceutical or sensory properties. Recently, significant progress has been made in the identification of the genes and enzymes of plant secondary metabolic pathways. Hence, there is interest in using synthetic biology to enhance the production of targeted valuable metabolites in plants. In this article, we examine the contribution that metabolic flux analysis will have on informing the rational selection of metabolic engineering targets as well as analysis of carbon and energy efficiency. Compared to microbes, plants have more complex tissue, cellular and subcellular organization, making precise metabolite concentration measurements more challenging. We review different techniques involved in quantifying flux and provide examples illustrating the application of the techniques. For linear and branched pathways that lead to end products with low turnover, flux quantification is straightforward and doesn’t require isotopic labeling. However, for metabolites synthesized via parallel pathways, there is a requirement for isotopic labeling experiments. If the fed isotopically labeled carbons don’t scramble, one needs to apply transient label balancing methods. In the transient case, it is also necessary to measure metabolite concentrations. While flux analysis is not able to directly identify mechanisms of regulation, it is a powerful tool to examine flux distribution at key metabolic nodes in intermediary metabolism, detect flux to wasteful side pathways, and show how parallel pathways handle flux in wild-type and engineered plants under a variety of physiological conditions.
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影响因子：
16.6
作者：
通讯作者：
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工程植物系统的代谢网络通量分析。
影响因子：
7.7
作者：
Y. Shachar
通讯作者：
Y. Shachar
影响因子：
11.6
作者：
Borisjuk, Ljudmilla;Neuberger, Thomas;Rolletschek, Hardy
通讯作者：
Rolletschek, Hardy
通过生物遗传组织方法量化植物次生代谢中的代谢通量。
影响因子：
8.4
作者：
Morgan,JohnA;Shanks,JacquelineV
通讯作者：
Shanks,JacquelineV
影响因子：
3.8
作者：
Shastri, Avantika A.;Morgan, John A.
通讯作者：
Morgan, John A.