ArticleNature communications2022
Dynamic cybergenetic control of bacterial co-culture composition via optogenetic feedback.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
46 citing papers in PubMed, 85 citations in OpenAlex.
- Synthetic Microbial Community Biosensors: From Engineered Ecosystems to Modular Detection Platforms with AI-Driven Intelligence.Biosensors · 2026Review
- Programmable cell-cell adhesion in synthetic yeast communities for improved bioproduction.Nature chemical biology · 2026Article
- Closed-Loop Optogenetic Control in a Microplate Reader.ACS synthetic biology · 2026Article
- Growth control as a central regulator for tuning the cellular context.Journal of biological engineering · 2026Article
- Burden-aware feedback control of microbial consortia.Nature communications · 2026Article
- Resolving emergent transient oscillations in gene circuits with a growth-coupled model.Science advances · 2026Article
- Exploring the computing power of microbes that shapes the environment.Current opinion in microbiology · 2026Review
- Single-cell analysis and control of microbial systems using optogenetics.Current opinion in microbiology · 2026Review
- Dynamic Robust Control of Microbial Communities Using Cybergenetics.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Characterization of Synthetic Gene Circuits with Absolute Quantification in Continuous Culture.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Closed-loop optogenetic control of cell biology enables outcome-driven microscopy.Nature communications · 2025Article
- Intracellularly coupled oscillators for synthetic biology.Nature communications · 2025Review
- Application of process analytical technology for real-time monitoring of synthetic co-culture bioprocesses.Analytical and bioanalytical chemistry · 2025Review
- Microbial consortia for the conversion of biomass into fuels and chemicals.Nature communications · 2025Review
- A dual light-controlled co-culture system enables the regulation of population composition.Synthetic and systems biotechnology · 2025Article
- Developing Quorum Sensing-Based Collaborative Dynamic Control System in Halomonas TD01.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Multi-Layer Autocatalytic Feedback Enables Integral Control Amidst Resource Competition and Across Scales.ACS synthetic biology · 2025Article
- Directing microbial co-culture composition using cybernetic control.Cell reports methods · 2025Article
- Model-guided gene circuit design for engineering genetically stable cell populations in diverse applications.Journal of the Royal Society, Interface · 2025Article
- Lighting up yeast: overview of optogenetics in yeast and their applications to yeast biotechnology.FEMS yeast research · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Communities of microbes play important roles in natural environments and hold great potential for deploying division-of-labor strategies in synthetic biology and bioproduction. However, the difficulty of controlling the composition of microbial consortia over time hinders their optimal use in many applications. Here, we present a fully automated, high-throughput platform that combines real-time measurements and computer-controlled optogenetic modulation of bacterial growth to implement precise and robust compositional control of a two-strain E. coli community. In addition, we develop a general framework for dynamic modeling of synthetic genetic circuits in the physiological context of E. coli and use a host-aware model to determine the optimal control parameters of our closed-loop compositional control system. Our platform succeeds in stabilizing the strain ratio of multiple parallel co-cultures at arbitrary levels and in changing these targets over time, opening the door for the implementation of dynamic compositional programs in synthetic bacterial communities.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.