Abstract
Key message
Synthetic control systems have led to significant advancement in the study and engineering of unicellular organisms, but it has been challenging to apply these tools to multicellular organisms like plants. The ability to predictably engineer plants will enable the development of novel traits capable of alleviating global problems, such as climate change and food insecurity.
Abstract
Engineering predictable multicellular phenotypes will require the development of synthetic control systems that can precisely regulate how the information encoded in genomes is translated into phenotypes. Many efficient control systems have been developed for unicellular organisms. However, it remains challenging to use such tools to study or engineer multicellular organisms. Plants are a good chassis within which to develop strategies to overcome these challenges, thanks to their capacity to withstand large-scale reprogramming without lethality. Additionally, engineered plants have great potential for solving major societal problems. Here we briefly review the progress of control system development in unicellular organisms, and how that information can be leveraged to characterize control systems in plants. Further, we discuss strategies for developing control systems designed to regulate the expression of transgenes or endogenous loci and generate dosage-dependent or discrete traits. Finally, we discuss the utility that mathematical models of biological processes have for control system deployment.
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TB is supported by a gift from Grantham Foundation aimed at accelerating the development of plant-based carbon capture technologies. AK is supported in part by the National Science Foundation under Grant No. 2310396.
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TB and AK conceived the idea for the manuscript. TB drafted the manuscript and figures. Both authors read and approved the final version of the manuscript.
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Communicated by Wusheng Liu.
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Bull, T., Khakhar, A. Design principles for synthetic control systems to engineer plants. Plant Cell Rep 42, 1875–1889 (2023). https://doi.org/10.1007/s00299-023-03072-z
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DOI: https://doi.org/10.1007/s00299-023-03072-z