合成生物学
生物技术
基因组
农业
生物
生化工程
代谢工程
人口
计算生物学
基因组工程
生命之树(生物学)
植物生物学
植物种类
计算机科学
基因工程
基因组编辑
工厂生产
生态学
原材料
工程类
遗传资源
植物生长
基因组学
自然(考古学)
作者
Phillip R. Clauer,Angelina Nou,Tyler Toth,Qiguo Yu,Yonatan Chemla,Alice Boo,Kwan Yoon,Christopher A. Voigt
出处
期刊:Chemical Reviews
[American Chemical Society]
日期:2026-01-28
卷期号:126 (2): 895-1109
标识
DOI:10.1021/acs.chemrev.4c00687
摘要
Agriculture is under pressure to provide food for a growing population and the feedstock required to drive the bioeconomy. Methods to breed and genetically modify plants are inadequate to keep pace. When engineering crops, traits are painstakingly introduced into plants one-at-a-time, combine unpredictably, and are continuously expressed. Synthetic biology is changing these paradigms with new genome construction tools, computer aided design (CAD), and artificial intelligence (AI). "Smart plants" contain circuits that respond to environmental change, alter morphology, or respond to threats. Further, the plant and associated microbes (fungi, bacteria, archaea) are now being viewed by genetic engineers as a holistic system. Historically, plant health has been enhanced by many natural and laboratory-evolved soil microbes marketed to enhance growth or provide nutrients, or pest/stress resistance. Synthetic biology has expanded the number of species that can be engineered, increased the complexity of engineered functions, controlled environmental release, and can assemble stable consortia. New CAD tools will manage genetic engineering projects spanning multiple plant genomes (nucleus, chloroplast, mitochondrion) and the thousands of genomes of associated bacteria/fungi. This review covers advanced genetic engineering techniques to drive the next agricultural revolution, as well as push plant engineering into new realms for manufacturing, infrastructure, sensing, and remediation.
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