重编程
植物根系
词根(语言学)
电子线路
生物
合成生物学
计算机科学
基因
计算生物学
生化工程
生物技术
植物
遗传学
工程类
语言学
哲学
电气工程
作者
Jennifer A N Brophy,Katie J. Magallon,Lina Duan,Vivian Zhong,P. V. Ramachandran,Kiril Kniazev,José R. Dinneny
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2022-08-12
卷期号:377 (6607): 747-751
被引量:46
标识
DOI:10.1126/science.abo4326
摘要
The shape of a plant's root system influences its ability to reach essential nutrients in the soil and to acquire water during drought. Progress in engineering plant roots to optimize water and nutrient acquisition has been limited by our capacity to design and build genetic programs that alter root growth in a predictable manner. We developed a collection of synthetic transcriptional regulators for plants that can be compiled to create genetic circuits. These circuits control gene expression by performing Boolean logic operations and can be used to predictably alter root structure. This work demonstrates the potential of synthetic genetic circuits to control gene expression across tissues and reprogram plant growth.
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