James Joshua S, Dai Junbiao, Chew Wei Leong, Cai Yizhi
Manchester Institute of Biotechnology, University of Manchester, Manchester, UK.
Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Nat Rev Genet. 2025 May;26(5):298-319. doi: 10.1038/s41576-024-00786-y. Epub 2024 Nov 6.
Synthetic genomics seeks to design and construct entire genomes to mechanistically dissect fundamental questions of genome function and to engineer organisms for diverse applications, including bioproduction of high-value chemicals and biologics, advanced cell therapies, and stress-tolerant crops. Recent progress has been fuelled by advancements in DNA synthesis, assembly, delivery and editing. Computational innovations, such as the use of artificial intelligence to provide prediction of function, also provide increasing capabilities to guide synthetic genome design and construction. However, translating synthetic genome-scale projects from idea to implementation remains highly complex. Here, we aim to streamline this implementation process by comprehensively reviewing the strategies for design, construction, delivery, debugging and tailoring of synthetic genomes as well as their potential applications.
合成基因组学旨在设计和构建完整的基因组，以便从机制上剖析基因组功能的基本问题，并对生物体进行工程改造以用于各种应用，包括高价值化学品和生物制品的生物生产、先进的细胞疗法以及耐逆作物。DNA合成、组装、传递和编辑方面的进展推动了近期的研究进展。计算创新，如利用人工智能提供功能预测，也为指导合成基因组的设计和构建提供了越来越强的能力。然而，将合成基因组规模的项目从想法转化为实际应用仍然非常复杂。在这里，我们旨在通过全面回顾合成基因组的设计、构建、传递、调试和定制策略及其潜在应用，来简化这一实施过程。
