Evidence map›Paper›PMID 42091585›Full record

ArticleNature communications2026

Burden-aware feedback control of microbial consortia.

Alice Boo, Harman Mehta, Rodrigo Ledesma-Amaro, Guy-Bart Stan

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alice BooImperial College Centre for Excellence in Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.ORCID http://orcid.org/0000-0003-2059-614X
Harman MehtaImperial College Centre for Excellence in Synthetic Biology, Imperial College London, London, SW7 2AZ, UK.ORCID http://orcid.org/0000-0003-2223-5989
Rodrigo Ledesma-AmaroImperial College Centre for Excellence in Synthetic Biology, Imperial College London, London, SW7 2AZ, UK. r.ledesma-amaro@imperial.ac.uk.ORCID http://orcid.org/0000-0003-2631-5898
Guy-Bart StanImperial College Centre for Excellence in Synthetic Biology, Imperial College London, London, SW7 2AZ, UK. g.stan@imperial.ac.uk.ORCID http://orcid.org/0000-0002-5560-902X

Funding

British Council 527429894EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) DEUSBIO - 949080European Cooperation in Science and Technology (COST) Yeast4Bio Cost Action 18229RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/R01602X/1RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/T011408/1RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/T013176/1Royal Academy of Engineering CiET 1819\5Royal Society NAF\R1\201187
6 · The paper itself

Abstract

Engineered microbial consortia are emerging as programmable systems capable of sensing and responding to their environment. However, maintaining defined community composition over time remains challenging, particularly in bioprocesses where growth conditions and metabolic burdens continuously shift. Here, we develop a burden-aware multicellular RNA-based feedback control system that stabilises coculture composition by coupling gene expression burden to growth regulation. The system integrates three modules: quorum sensing-based communication, an RNA-based comparator computing deviations from a target ratio, and tuneable growth regulation via heterologous expression burden or CRISPRi-mediated knockdowns. In a two-strain E. coli coculture, this architecture maintains stable coculture ratios over 24-hour batch cultures, recovers growth rates by up to 90% following burden-induced growth reduction, and increases protein production yields by up to 81% in the slower-growing strain. We achieve tuneability by adjusting RNA binding strength and quorum-sensing signal production. This work demonstrates that burden-driven growth control can be used to stabilise and tune synthetic microbial consortia.

Indexed as

Escherichia coliFeedback, PhysiologicalMicrobial ConsortiaCoculture TechniquesGene Expression Regulation, BacterialQuorum Sensing

Identifiers

PMID42091585
PMCPMC13357841

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.