ArticleCell reports methods2025
Directing microbial co-culture composition using cybernetic control.
Article in Cell reports methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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Who cites it
7 citing papers in PubMed.
- Different co-culture approaches to increase metabolites in foods.Food science and biotechnology · 2026Review
- Burden-aware feedback control of microbial consortia.Nature communications · 2026Article
- Characterization of Synthetic Gene Circuits with Absolute Quantification in Continuous Culture.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Dynamic Robust Control of Microbial Communities Using Cybergenetics.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Synthetic microbial consortia based on quorum-sensing for disease therapy.Bioresources and bioprocessing · 2025Review
- Application of process analytical technology for real-time monitoring of synthetic co-culture bioprocesses.Analytical and bioanalytical chemistry · 2025Review
- Biotechnology systems engineering: preparing the next generation of bioengineers.Frontiers in systems biology · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We demonstrate a cybernetic approach to control the composition of a P. putida and E. coli co-culture that does not rely on genetic engineering to interface cells with computers. We first show how composition information can be extracted from different bioreactor measurements and then combined with a system model using an extended Kalman filter to generate accurate estimates of a noisy system. We then demonstrate that adjusting the culture temperature can drive the composition due to the species' different optimal temperatures. Using a proportional-integral control algorithm, we are able to track dynamic references with real-time noise rejection and independence from starting conditions such as inoculation ratio. We stabilize the co-culture for 7 days (∼250 generations) with the experiment ending before the cells could adapt out of the control. This cybernetic framework is broadly applicable, with different microbes' unique characteristics enabling robust control over diverse co-cultures.
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Registered trials
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