Evidence map›Paper›PMID 42742839›Full record

ReviewScience China. Life sciences2026

Revealing the secrets of quorum sensing: a comprehensive review from signal mechanisms to practical applications.

Lan-Tu Xiong, Ming-Ming Guan, Wan-Yu Gong, Wan-Jun Li, Di Zhu, Ya-Sheng Li, Alastair N Herron, Yu Shi, Quan Zeng, Ze-Ling Xu and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Science China. Life sciences, 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

12 authors.

Lan-Tu Xiong *State Key Laboratory of Green Pesticide, Integrative Microbiology Research Centre, Guangdong Provincial Key Laboratory of Microbial Signals and Disease Control, College of Plant Protection, South China Agricultural University, Guangzhou, 510642, China.
Ming-Ming Guan *State Key Laboratory of Green Pesticide, Integrative Microbiology Research Centre, Guangdong Provincial Key Laboratory of Microbial Signals and Disease Control, College of Plant Protection, South China Agricultural University, Guangzhou, 510642, China.
Wan-Yu Gong *State Key Laboratory of Green Pesticide, Integrative Microbiology Research Centre, Guangdong Provincial Key Laboratory of Microbial Signals and Disease Control, College of Plant Protection, South China Agricultural University, Guangzhou, 510642, China.
Wan-Jun LiState Key Laboratory of Green Pesticide, Integrative Microbiology Research Centre, Guangdong Provincial Key Laboratory of Microbial Signals and Disease Control, College of Plant Protection, South China Agricultural University, Guangzhou, 510642, China.
Di ZhuSchool of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK.
Ya-Sheng LiDepartment of Infectious Diseases, Anhui Province Key Laboratory of Infectious Diseases & Anhui Center for Surveillance of Bacterial Resistance, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
Alastair N HerronGraduate School of Pharmaceutical Sciences, Kyoto University, Kyoto, 606-8501, Japan.
Yu ShiCollege of Life Sciences, Henan Normal University, Xinxiang, 453007, China.
Quan ZengDepartment of Plant Pathology and Ecology, The Connecticut Agricultural Experiment Station, New Haven, CT, 06477, USA.
Ze-Ling XuState Key Laboratory of Green Pesticide, Integrative Microbiology Research Centre, Guangdong Provincial Key Laboratory of Microbial Signals and Disease Control, College of Plant Protection, South China Agricultural University, Guangzhou, 510642, China.
Xin DengDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong, 999077, China.
Zi-Ning CuiState Key Laboratory of Green Pesticide, Integrative Microbiology Research Centre, Guangdong Provincial Key Laboratory of Microbial Signals and Disease Control, College of Plant Protection, South China Agricultural University, Guangzhou, 510642, China. ziningcui@scau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quorum sensing (QS), a sophisticated cell-cell communication system in microorganisms, governs collective behaviors such as virulence, biofilm formation, and antibiotic resistance in a population-density-dependent manner. Targeting QS with quorum sensing inhibitors (QSIs) has emerged as a promising anti-virulence strategy to combat bacterial pathogens without exerting lethal selective pressure, thereby potentially curbing the rise of antimicrobial resistance. This review provides an integrated overview of the molecular mechanisms of QS signaling networks in Gram-negative and Gram-positive bacteria, and extends the discussion to cross-kingdom communication and QS-like systems in fungi and bacteriophages. We systematically categorize QSIs based on their origins (plant, microbial, animal, and synthetic) and detail their mechanisms of action, focusing on the interference with autoinducer synthesis, degradation, receptor binding, and downstream signal transduction. Beyond a mere compilation of research advances, we critically evaluate the translational potential of QS interference, highlighting recent applications in clinical medicine (e.g., anti-biofilm coatings), agriculture (biocontrol agents), and environmental engineering (biofouling mitigation). Finally, we identify key challenges such as in vivo efficacy, ecological impact, and the translational gap, and propose future research priorities centered on smart delivery systems, narrow-spectrum inhibitors, and interdisciplinary collaboration. This comprehensive analysis underscores QS interference as a versatile and sustainable strategy, while charting a course for its evolution from a laboratory phenomenon to a practical solution.

Indexed as

anti-virulence strategybioremediationQSQS inhibitorssignaling networks

Identifiers

What Socratic 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 Socratic graph.