ArticleNature communications2024
From resonance to chaos by modulating spatiotemporal patterns through a synthetic optogenetic oscillator.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Single-cell analysis and control of microbial systems using optogenetics.Current opinion in microbiology · 2026Review
- Characterization of Synthetic Gene Circuits with Absolute Quantification in Continuous Culture.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Intracellularly coupled oscillators for synthetic biology.Nature communications · 2025Review
- A tool for modeling gene regulatory networks (GRN_modeler) and its applications to synthetic biology.Molecular systems biology · 2025Article
- Review
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Authors and funding
3 authors.
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Abstract
Oscillations are a recurrent phenomenon in biological systems across scales, but deciphering their fundamental principles is very challenging. Here, we tackle this challenge by redesigning the wellcharacterised synthetic oscillator known as "repressilator" in Escherichia coli and controlling it using optogenetics, creating the "optoscillator". Bacterial colonies manifest oscillations as spatial ring patterns. When we apply periodic light pulses, the optoscillator behaves as a forced oscillator and we systematically investigate the properties of the rings under various light conditions. Combining experiments with mathematical modeling, we demonstrate that this simple oscillatory circuit can generate complex dynamics that are transformed into distinct spatial patterns. We report the observation of synchronisation, resonance, subharmonic resonance and period doubling. Furthermore, we present evidence of a chaotic regime. This work highlights the intricate spatiotemporal patterns accessible by synthetic oscillators and underscores the potential of our approach in revealing fundamental principles of biological oscillations.
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Registered trials
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