简单生长过程引起的代谢网络模块化
Metabolic network modularity arising from simple growth processes
摘要：
代谢网络由相互连接的功能组件或模块组成。代谢网络模块化的机制不仅是基础科学研究者的兴趣所在，也是工程领域研究者的兴趣所在。以前的研究提出了一个理论模型，该模型提出进化目标（系统特定目的）的变化增加了网络模块化，这一假设得到了统计数据分析的支持。然而，进一步的研究发现了可能解释网络模块化起源的其他可能性。在这项工作中，我们提出了一个进化的网络模型，没有调整参数来描述代谢网络。我们证明，定量，代谢网络模块化可以产生简单的生长过程中，独立的进化目标的变化。我们的模型适用于广泛的生物体，并似乎表明，代谢网络模块化可以更简单地确定比以前认为的。尽管如此，我们的主张并不与以前的模型相矛盾;它致力于从不同的角度提供对正在进行的理解代谢进化的见解，并希望最终实现代谢网络的合成工程。
英文摘要：
Metabolic networks consist of linked functional components, or modules. The mechanism underlying metabolic network modularity is of great interest not only to researchers of basic science but also to those in fields of engineering. Previous studies have suggested a theoretical model, which proposes that a change in the evolutionary goal (system-specific purpose) increases network modularity, and this hypothesis was supported by statistical data analysis. Nevertheless, further investigation has uncovered additional possibilities that might explain the origin of network modularity. In this work, we propose an evolving network model without tuning parameters to describe metabolic networks. We demonstrate, quantitatively, that metabolic network modularity can arise from simple growth processes, independent of the change in the evolutionary goal. Our model is applicable to a wide range of organisms, and appears to suggest that metabolic network modularity can be more simply determined than previously thought. Nonetheless, our proposition does not serve to contradict the previous model; it strives to provide an insight from a different angle in the ongoing efforts to understand metabolic evolution, with the hope of eventually achieving the synthetic engineering of metabolic networks.
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