Theoretical perspective on synthetic man‐made life: Learning from the origin of life

IF 0.6 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Quantitative Biology Pub Date : 2023-11-27 DOI:10.1002/qub2.22
Lu Peng, Zecheng Zhang, Xianyi Wang, Weiyi Qiu, Liqian Zhou, Hui Xiao, Chunxiuzi Liu, Shaohua Tang, Zhiwei Qin, Jiakun Jiang, Zengru Di, Yu Liu
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Abstract

Creating a man‐made life in the laboratory is one of life science’s most intriguing yet challenging problems. Advances in synthetic biology and related theories, particularly those related to the origin of life, have laid the groundwork for further exploration and understanding in this field of artificial life or man‐made life. But there remains a wealth of quantitative mathematical models and tools that have yet to be applied to this area. In this paper, we review the two main approaches often employed in the field of man‐made life: the top‐down approach that reduces the complexity of extant and existing living systems and the bottom‐up approach that integrates well‐defined components, by introducing the theoretical basis, recent advances, and their limitations. We then argue for another possible approach, namely “bottom‐up from the origin of life”: Starting with the establishment of autocatalytic chemical reaction networks that employ physical boundaries as the initial compartments, then designing directed evolutionary systems, with the expectation that independent compartments will eventually emerge so that the system becomes free‐living. This approach is actually analogous to the process of how life originated. With this paper, we aim to stimulate the interest of synthetic biologists and experimentalists to consider a more theoretical perspective, and to promote the communication between the origin of life community and the synthetic man‐made life community.
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人造合成生命的理论视角:向生命起源学习
在实验室中创造人造生命是生命科学中最引人入胜而又最具挑战性的问题之一。合成生物学和相关理论(尤其是与生命起源相关的理论)的进步,为进一步探索和理解人工生命或人造生命这一领域奠定了基础。但仍有大量定量数学模型和工具有待应用于这一领域。在本文中,我们将通过介绍理论基础、最新进展及其局限性,回顾人造生命领域经常采用的两种主要方法:降低现存和现有生命系统复杂性的自上而下的方法和整合定义明确的组件的自下而上的方法。然后,我们论证了另一种可能的方法,即 "从生命起源自下而上 "的方法:首先建立自催化化学反应网络,将物理边界作为初始区块,然后设计定向进化系统,期望最终出现独立的区块,使系统成为自由生命系统。这种方法实际上类似于生命起源的过程。通过本文,我们希望激发合成生物学家和实验学家的兴趣,从更多的理论角度进行思考,并促进生命起源界与人造合成生命界之间的交流。
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来源期刊
Quantitative Biology
Quantitative Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
5.00
自引率
3.20%
发文量
264
期刊介绍: Quantitative Biology is an interdisciplinary journal that focuses on original research that uses quantitative approaches and technologies to analyze and integrate biological systems, construct and model engineered life systems, and gain a deeper understanding of the life sciences. It aims to provide a platform for not only the analysis but also the integration and construction of biological systems. It is a quarterly journal seeking to provide an inter- and multi-disciplinary forum for a broad blend of peer-reviewed academic papers in order to promote rapid communication and exchange between scientists in the East and the West. The content of Quantitative Biology will mainly focus on the two broad and related areas: ·bioinformatics and computational biology, which focuses on dealing with information technologies and computational methodologies that can efficiently and accurately manipulate –omics data and transform molecular information into biological knowledge. ·systems and synthetic biology, which focuses on complex interactions in biological systems and the emergent functional properties, and on the design and construction of new biological functions and systems. Its goal is to reflect the significant advances made in quantitatively investigating and modeling both natural and engineered life systems at the molecular and higher levels. The journal particularly encourages original papers that link novel theory with cutting-edge experiments, especially in the newly emerging and multi-disciplinary areas of research. The journal also welcomes high-quality reviews and perspective articles.
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