Evidence map›Paper›PMID 42860290›Full record

ReviewEnvironmental microbiology2026

Relay Architectures and Ecological Strategies of Quorum Sensing Effects on Microbial Interactions.

Changchang Liang, Danlei Chen, Shuyang Sun, Aidong Yang, Jianjun Qiao, Shengbo Wu

Abstract readReview
In one paragraph

Review in Environmental microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Changchang LiangSchool of Synthetic Biology and Biomanufacturing, Key Laboratory of Systems Bioengineering (Ministry of Education), State Key Laboratory of Synthetic Biology, Tianjin University, Tianjin, China.ORCID https://orcid.org/0000-0002-3347-155X
Danlei ChenTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin, China.
Shuyang SunSchool of Synthetic Biology and Biomanufacturing, Key Laboratory of Systems Bioengineering (Ministry of Education), State Key Laboratory of Synthetic Biology, Tianjin University, Tianjin, China.
Aidong YangDepartment of Engineering Science, University of Oxford, Oxford, UK.
Jianjun QiaoSchool of Synthetic Biology and Biomanufacturing, Key Laboratory of Systems Bioengineering (Ministry of Education), State Key Laboratory of Synthetic Biology, Tianjin University, Tianjin, China.ORCID https://orcid.org/0000-0002-8126-2074
Shengbo WuTianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin, China.ORCID https://orcid.org/0000-0001-7497-2935

Funding

National Key Research and Development Program of China 2024YFA0920200National Natural Science Foundation of China 32300022
6 · The paper itself

Abstract

Microbial communities assemble in heterogeneous habitats, where quorum sensing (QS) influences interactions beyond signalling populations. Yet QS studies are commonly organized by signal type, circuit, or phenotype, obscuring the routes by which a QS event reaches neighbouring populations and why they prevail in particular settings. This Review synthesizes evidence from host-associated, terrestrial, marine, and aquatic systems to develop a two-dimensional framework for QS-mediated ecological effects. The framework distinguishes three relay architectures by which QS activity in one population affects another: direct perception of the source signal, exposure to a QS-regulated chemical effector, or response to a QS-associated change in a shared host or environment. It then identifies the ecological strategies that these architectures can support, including shared signal accessibility, reciprocal coordination, asymmetric cue responsiveness, resource monopolization, and competitive or community restructuring. Across habitats, spatial structure, resource accessibility, host-associated conditions, and temporal variability shape which relay architectures are feasible and the ecological consequences they generate. The framework positions QS as a context-dependent process through which population-state sensing is translated into neighbour responses, changes in habitat conditions, and community assembly. It establishes testable expectations for predicting which QS-mediated interactions arise in a habitat and for designing interventions that steer microbiome function.

Indexed as

Bacterial Physiological PhenomenaMicrobial InteractionsQuorum SensingBacteriaEcosystemchemical mediationecological interactionsenvironmental heterogeneityQS‐mediated effectsquorum sensing

Identifiers

PMID42860290
PMCPMC13654649

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.