Evidence map›Paper›PMID 32694598›Full record

ArticleNature communications2020

Majority sensing in synthetic microbial consortia.

Razan N Alnahhas, Mehdi Sadeghpour, Ye Chen, Alexis A Frey, William Ott, Krešimir Josić, Matthew R Bennett

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
–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

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Microbial medicines: Unlocking the therapeutic potential of the microbiome in cancer treatment.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Review
  5. Review
  6. Review
  7. Review
  8. ACS synthetic biology · 2025
    Article
  9. Review
  10. Developing Quorum Sensing-Based Collaborative Dynamic Control System in Halomonas TD01.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

7 authors.

Razan N AlnahhasDepartment of Biosciences, Rice University, Houston, TX, USA.ORCID http://orcid.org/0000-0002-1382-2252
Mehdi SadeghpourDepartment of Biosciences, Rice University, Houston, TX, USA.
Ye ChenCAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.ORCID http://orcid.org/0000-0003-1247-5444
Alexis A FreyDepartment of Biosciences, Rice University, Houston, TX, USA.
William OttDepartment of Mathematics, University of Houston, Houston, TX, USA.ORCID http://orcid.org/0000-0002-7119-491X
Krešimir JosićDepartment of Mathematics, University of Houston, Houston, TX, USA.
Matthew R BennettDepartment of Biosciences, Rice University, Houston, TX, USA. matthew.bennett@rice.edu.ORCID http://orcid.org/0000-0002-4975-8854

Funding

Expanding the utility of transcriptional bacterial computingR01GM117138 · NIGMS · RICE UNIVERSITY · PI BENNETT, MATTHEW R., JOSIC, KRESIMIR · 2016 to 2019
$2.0M
NIGMS NIH HHS R01 GM117138
6 · The paper itself

Abstract

As synthetic biocircuits become more complex, distributing computations within multi-strain microbial consortia becomes increasingly beneficial. However, designing distributed circuits that respond predictably to variation in consortium composition remains a challenge. Here we develop a two-strain gene circuit that senses and responds to which strain is in the majority. This involves a co-repressive system in which each strain produces a signaling molecule that signals the other strain to down-regulate production of its own, orthogonal signaling molecule. This co-repressive consortium links gene expression to ratio of the strains rather than population size. Further, we control the cross-over point for majority via external induction. We elucidate the mechanisms driving these dynamics by developing a mathematical model that captures consortia response as strain fractions and external induction are varied. These results show that simple gene circuits can be used within multicellular synthetic systems to sense and respond to the state of the population.

Indexed as

Gene Expression Regulation, BacterialCell EngineeringEscherichia coliGene Regulatory NetworksMicrobial ConsortiaQuorum SensingSignal TransductionSynthetic Biology

Identifiers

PMID32694598
PMCPMC7374166

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.