A compact model of Escherichia coli core and biosynthetic metabolism.

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Marco Corrao, Hai He, Wolfram Liebermeister, Elad Noor, Arren Bar-Even
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Abstract

Metabolic models condense biochemical knowledge about organisms in a structured and standardised way. As large-scale network reconstructions are readily available for many organisms, genome-scale models are being widely used among modellers and engineers. However, these large models can be difficult to analyse and visualise, and occasionally generate predictions that are hard to interpret or even biologically unrealistic. Of the thousands of enzymatic reactions in a typical bacterial metabolism, only a few hundred form the metabolic pathways essential to produce energy carriers and biosynthetic precursors. These pathways carry relatively high flux, are central to maintaining and reproducing the cell, and provide precursors and energy to engineered metabolic pathways. Focusing on these central metabolic subsystems, we present iCH360, a manually curated medium-scale model of energy and biosynthesis metabolism for the well-studied bacterium Escherichia coli K-12 MG1655. The model is a sub-network of the most recent genome-scale reconstruction, iML1515, and comes with an updated layer of database annotations and a range of metabolic maps for visualisation. We enriched the stoichiometric network with extensive biological information and quantitative data, including thermodynamic and kinetic constants, enhancing the scope and applicability of the model. In addition, we assess the properties of this model in comparison to its genome-scale parent and demonstrate the use of the network and supporting data in various scenarios, including enzyme-constrained flux balance analysis, elementary flux mode analysis, and thermodynamic analysis. Overall, this model holds the potential to become a reference medium-scale metabolic model for E. coli.

大肠杆菌核心与生物合成代谢的紧凑模型。
代谢模型以一种结构化和标准化的方式浓缩了生物化学知识。由于对许多生物体进行大规模的网络重建是很容易的,基因组尺度模型在建模者和工程师中被广泛使用。然而,这些大型模型可能难以分析和可视化,并且偶尔会产生难以解释甚至生物学上不现实的预测。在典型的细菌代谢过程中,有数千个酶促反应,其中只有几百个形成了产生能量载体和生物合成前体所必需的代谢途径。这些途径携带相对较高的通量,是维持和繁殖细胞的核心,并为工程代谢途径提供前体和能量。专注于这些中心代谢子系统,我们提出了iCH360,这是一个人工策划的中等规模模型,用于研究大肠杆菌K-12 MG1655的能量和生物合成代谢。该模型是最新的基因组级重建iML1515的子网络,并带有更新的数据库注释层和一系列用于可视化的代谢图。我们通过广泛的生物信息和定量数据(包括热力学和动力学常数)丰富了化学计量网络,增强了模型的范围和适用性。此外,我们评估了该模型与其基因组尺度母体模型的特性,并演示了该网络和支持数据在各种场景中的使用,包括酶约束通量平衡分析、基本通量模式分析和热力学分析。总的来说,该模型有可能成为大肠杆菌的参考中等规模代谢模型。
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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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