BackgroundSelf‐sustained oscillations are a ubiquitous and vital phenomenon in living systems. From primitive single‐cellular bacteria to the most sophisticated organisms, periodicities have been observed in a broad spectrum of biological processes such as neuron firing, heart beats, cell cycles, circadian rhythms, etc. Defects in these oscillators can cause diseases from insomnia to cancer. Elucidating their fundamental mechanisms is of great significance to diseases, and yet challenging, due to the complexity and diversity of these oscillators. ResultsApproaches in quantitative systems biology and synthetic biology have been most effective by simplifying the systems to contain only the most essential regulators. Here, we will review major progress that has been made in understanding biological oscillators using these approaches. The quantitative systems biology approach allows for identification of the essential components of an oscillator in an endogenous system. The synthetic biology approach makes use of the knowledge to design the simplest,de novooscillators in both live cells and cell‐free systems. These synthetic oscillators are tractable to further detailed analysis and manipulations. ConclusionWith the recent development of biological and computational tools, both approaches have made significant achievements.
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Exploring the frontier of rapid prototyping technologies for plant synthetic biology and what could lie beyond
Summary Realizing the full potential of plant synthetic biology both to elucidate the relationship between genotype and phenotype and to apply these insights to engineer traits requires rapidly iterating through design‐build‐test cycles. However, the months‐long process of transgenesis, the long generation times, and the size‐based limitations on experimentation have stymied progress by limiting the speed and scale of these cycles. Herein, we review a representative sample of recent studies that demonstrate a variety of rapid prototyping technologies that overcome some of these bottlenecks and accelerate progress. However, each of them has caveats that limit their broad utility. Their complementary strengths and weaknesses point to the intriguing possibility that these strategies could be combined in the future to enable rapid and scalable deployment of synthetic biology in plants.
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- Award ID(s):
- 2310396
- PAR ID:
- 10573677
- Publisher / Repository:
- Wiley-Blackwell
- Date Published:
- Journal Name:
- New Phytologist
- Volume:
- 242
- Issue:
- 3
- ISSN:
- 0028-646X
- Format(s):
- Medium: X Size: p. 903-908
- Size(s):
- p. 903-908
- Sponsoring Org:
- National Science Foundation
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