合成代谢方法:系统生物学的宝贵资源

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Sebastian Wenk , Nico J. Claassens , Steffen N. Lindner
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引用次数: 1

摘要

合成生物学修改生物系统,目的是创造新的生物部件、装置,甚至生物体。系统生物学破译生物系统的设计原理,试图推导出生物过程背后的数学逻辑。虽然他们各自的研究方法和问题不同,但这两个学科显然是相互联系的。没有对生物系统的充分了解,合成生物学的研究就不能正确地设计和进行。另一方面,系统生物学可以从合成生物学方法产生的新生物系统中获益,这可以揭示对细胞过程的重要见解,并允许更好地理解生命原理。在本文中,我们介绍了最先进的合成生物学方法,重点关注微生物宿主的合成代谢工程,并展示了它们的实施如何导致酶可逆性,滥交和“地下代谢”的新基础发现。我们进一步讨论了合理工程和适应性实验室进化的结合如何使具有合成中心代谢的微生物产生,从而导致全新的代谢表型。这些生物为未来的研究提供了巨大的资源,以加深我们对管理代谢网络和进化原理的系统级理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Synthetic metabolism approaches: A valuable resource for systems biology

Synthetic metabolism approaches: A valuable resource for systems biology

Synthetic biology modifies biological systems with the aim of creating new biological parts, devices, and even organisms. Systems biology deciphers the design principles of biological systems trying to derive the mathematical logic behind biological processes. Although different in their respective research approaches and questions, both disciplines are clearly interconnected. Without sufficient understanding of the biological system, synthetic biology studies cannot be properly designed and conducted. On the other hand, systems biology can profit from new biological systems generated by synthetic biology approaches, which can reveal important insights into cellular processes and allow a better understanding of the principles of life. In this article, we present state-of-the-art synthetic biology approaches that focus on the engineering of synthetic metabolism in microbial hosts and show how their implementation has led to new fundamental discoveries on enzyme reversibility, promiscuity, and “underground metabolism”. We further discuss how the combination of rational engineering and adaptive laboratory evolution has enabled the generation of microbes with a synthetic central metabolism, leading to completely new metabolic phenotypes. These organisms provide a great resource for future studies to deepen our systems-level understanding on the principles that govern metabolic networks and evolution.

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来源期刊
Current Opinion in Systems Biology
Current Opinion in Systems Biology Mathematics-Applied Mathematics
CiteScore
7.10
自引率
2.70%
发文量
20
期刊介绍: Current Opinion in Systems Biology is a new systematic review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely systematic reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is reviewed once a year. The following areas will be covered by Current Opinion in Systems Biology: -Genomics and Epigenomics -Gene Regulation -Metabolic Networks -Cancer and Systemic Diseases -Mathematical Modelling -Big Data Acquisition and Analysis -Systems Pharmacology and Physiology -Synthetic Biology -Stem Cells, Development, and Differentiation -Systems Biology of Mold Organisms -Systems Immunology and Host-Pathogen Interaction -Systems Ecology and Evolution
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