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合成基因电路作为一种重编程植物根系的手段。

Synthetic genetic circuits as a means of reprogramming plant roots.

作者信息

Brophy Jennifer A N, Magallon Katie J, Duan Lina, Zhong Vivian, Ramachandran Prashanth, Kniazev Kiril, Dinneny José R

机构信息

Department of Biology, Stanford University, Stanford, CA, USA.

Department of Bioengineering, Stanford University, Stanford, CA, USA.

出版信息

Science. 2022 Aug 12;377(6607):747-751. doi: 10.1126/science.abo4326. Epub 2022 Aug 11.

Abstract

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.

摘要

植物根系的形状会影响其获取土壤中必需养分以及在干旱期间获取水分的能力。通过设计和构建能以可预测方式改变根系生长的遗传程序来对植物根系进行工程改造,以优化水分和养分获取,这方面的进展一直受到我们自身能力的限制。我们开发了一组用于植物的合成转录调节因子,可将它们组合起来创建遗传回路。这些回路通过执行布尔逻辑运算来控制基因表达,并可用于可预测地改变根系结构。这项工作展示了合成遗传回路在跨组织控制基因表达和重新编程植物生长方面的潜力。

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