Evidence map›Paper›PMID 37926838›Full record

ArticleMicrobiome2023

Bacterial quorum sensing orchestrates longitudinal interactions to shape microbiota assembly.

Ying Su, Ming-Ying Xu, Ying Cui, Run-Zhi Chen, Li-Xiang Xie, Jing-Xiang Zhang, Yong-Qiu Chen, Tao Ding

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
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

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  4. [The Oral Microbiome: Maintenance of Homeostasis, Disease Associations, and Mechanisms of Pathogenesis].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
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  12. Regulation of drug resistance and virulence ofFrontiers in microbiology · 2026
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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

8 authors at 1 institution in 1 country.

Ying SuDepartment of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Ming-Ying XuDepartment of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Ying CuiDepartment of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Run-Zhi ChenDepartment of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Li-Xiang XieDepartment of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Jing-Xiang ZhangDepartment of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Yong-Qiu ChenDepartment of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China.
Tao DingDepartment of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, China. dingt8@mail.sysu.edu.cn.ORCID 0000-0002-2200-0496
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mechanism of microbiota assembly is one of the main problems in microbiome research, which is also the primary theoretical basis for precise manipulation of microbial communities. Bacterial quorum sensing (QS), as the most common means for bacteria to exchange information and interactions, is characterized by universality, specificity, and regulatory power, which therefore may influence the assembly processes of human microbiota. However, the regulating role of QS in microbiota assembly is rarely reported. In this study, we developed an optimized in vitro oral biofilm microbiota assembling (OBMA) model to simulate the time-series assembly of oral biofilm microbiota (OBM), by which to excavate the QS network and its regulating power in the process.

resultsBy using the optimized OBMA model, we were able to restore the assembly process of OBM and generate time-series OBM metagenomes of each day. We discovered a total of 2291 QS protein homologues related to 21 QS pathways. Most of these pathways were newly reported and sequentially enriched during OBM assembling. These QS pathways formed a comprehensive longitudinal QS network that included successively enriched QS hubs, such as Streptococcus, Veillonella-Megasphaera group, and Prevotella-Fusobacteria group, for information delivery. Bidirectional cross-talk among the QS hubs was found to play critical role in the directional turnover of microbiota structure, which in turn, influenced the assembly process. Subsequent QS-interfering experiments accurately predicted and experimentally verified the directional shaping power of the longitudinal QS network in the assembly process. As a result, the QS-interfered OBM exhibited delayed and fragile maturity with prolonged membership of Streptococcus and impeded membership of Prevotella and Fusobacterium.

conclusionOur results revealed an unprecedented longitudinal QS network during OBM assembly and experimentally verified its power in predicting and manipulating the assembling process. Our work provides a new perspective to uncover underlying mechanism in natural complex microbiota assembling and a theoretical basis for ultimately precisely manipulating human microbiota through intervention in the QS network. Video Abstract.

Indexed as

MicrobiotaQuorum SensingBacteriaBacterial ProteinsBiofilmsHumansStreptococcusBacterial ProteinsBacterial communicationBacterial interactionInterspecies cross-talkMicrobiota assemblyMicrobiota manipulationQuorum sensing

Identifiers

PMID37926838
PMCPMC10626739
OpenAlexW4388398855

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.