Synthetic Genetic Circuits Reprogram Plant Roots
Scientists use engineered gene circuits in plants to control gene expression and root architecture.
The Science
Controlling the activity of genes is an important step in engineering plants for improved bioenergy crops. This research developed synthetic genes that can be combined to achieve specific patterns of gene expression within the plant. The expression of the synthetic genes is programmed in the form of Boolean (“AND,” “OR,” and “NOT”) logic gates that work in a similar way to computer circuit boards. Using the synthetic gene circuits, the researchers successfully created predictable, novel expression patterns of fluorescent proteins. Finally, they used similar gene circuits to redesign root architecture by tuning the number of root branches.
The Impact
To understand biological functions and design new biotechnology applications, scientists need to precisely manipulate gene expression. This is the process that converts instructions in DNA into proteins and other products that allow cells to do their jobs in an organism. Controlling specific patterns of gene expression in plants is challenging. One potential solution is synthetic genetic circuits. However, tuning circuit activity across different plant cell types has proven difficult. This research developed new genetic circuits that allow precise control of the root architecture. As roots are important for the uptake of water and nutrients, this approach will allow the design of tailored root architectures. This will in turn help researchers to engineer bioenergy crops with improved characteristics for growth in marginal lands.
Summary
To establish synthetic gene circuits capable of predictably regulating gene expression in plants, scientists adapted a large collection of bacterial gene regulators for use as synthetic activators or repressors of gene expression in plants, also known as transcription factors. Using a transient expression system, the researchers demonstrated that the synthetic transcription factors and their target DNA sequences (promoters) are able to direct specific and tunable control of gene expression. They designed synthetic promoters that responded to one synthetic transcription factor to work as simple logic gates that responded to one input, while more complex gates required synthetic promoters that responded to multiple inputs. The research found these logic gates to control expression in predictable ways according to the specific Boolean rules encoded in the engineered genes.
To implement synthetic gene circuits in a multicellular context, the researchers used Arabidopsis roots as a model system where endogenous promoters drove tissue-specific expression of the synthetic transcription factors. The gene circuits generated novel expression patterns that were the result of successfully performing logical operations. The researchers further used one of the logic gates to quantitatively control the expression of a hormone signaling regulator to tune the amount of root branching in the root system of Arabidopsis. These results demonstrate that it is now possible to program gene expression across plant cell types using genetic circuits, providing a roadmap to engineer more resilient bioenergy crops.
Contact
José R. Dinneny
Stanford University, Department of Biology
[email protected]
Jennifer Brophy
Stanford University, Department of Bioengineering
[email protected]
Funding
Funding was provided by the Department of Energy Office of Science, Biological and Environmental Research program; the Burroughs Wellcome Fund Career Awards at the Scientific Interface; the Chan Zuckerberg Biohub; the Howard Hughes Medical Institute; and the Simons Foundation.
Publications
Brophy J.A.N., et al., Synthetic genetic circuits as a means of reprogramming plant roots. Science 377, 747-751 (2022) [DOI: 10.1126/science.abo4326]
Related Links
Stanford researchers have designed synthetic genetic circuits that could help plants adapt to pressures from climate change, Stanford University Press Release
Reprogramming plant growth through Boolean logic, NEO.LIFE Dispatches
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