Evidence map›Paper›PMID 41056492›Full record

ArticleThe ISME journal2025

Autoinducer-2-mediated communication network within human gut microbiota.

Qingying Fan, Hengxi Sun, Xueyuan Lin, Wenguang Yang, Xihui Shen, Lei Zhang

Abstract read
In one paragraph

Article in The ISME journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

6 authors.

Qingying FanState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi 712100, China.
Hengxi SunMOE Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Sciences, Fudan University, Shanghai 200438, China.
Xueyuan LinState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi 712100, China.
Wenguang YangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi 712100, China.
Xihui ShenState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi 712100, China.ORCID 0000-0001-6867-8887
Lei ZhangState Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Shaanxi Key Laboratory of Agricultural and Environmental Microbiology, College of Life Sciences, Northwest A&F University, Yangling, Shaanxi 712100, China.ORCID 0000-0003-0293-3157

Funding

National Natural Science Foundation of China 32370134 and 32170048Natural Science Basic Research Program of Shaanxi 2023-JC-JQ-18
6 · The paper itself

Abstract

Quorum sensing (QS) is a chemical communication process that connects microbial members in various microbial systems. Bacterial communication networks mediated by QS play important roles in the regulation of intestinal microecological balance as well as nutrition and metabolism of the host. However, how human gut microbes utilize QS signals to communicate with one another remains largely unknown. In this study, we first examined the prevalence and abundance of genes encoding QS signal synthases in 3329 species representatives clustered from 289232 prokaryotic genomes in the Unified Human Gastrointestinal Genome collection. Our results show autoinducer-2 (AI-2) is the most prevalent QS signal within the human gut microbiota, with the synthase gene luxS being found in 2039 species mainly distributed within Firmicutes, Actinobacteriota, Bacteroidota, and Proteobacteria. Furthermore, 299 species carry genes encoding one or more types of AI-2 receptors (LuxP-, LsrB-, dCache_1-, and GAPES1-type). The dCache_1- and GAPES1-type receptors can function as methyl-accepting chemotaxis proteins, histidine kinases, c-di-GMP synthases and/or c-di-GMP-specific phosphodiesterases, serine phosphatases, and serine/threonine kinases, suggesting the diversity of AI-2-mediated interspecies communication modes among human gut microbiota. Metatranscriptomic analysis showed that a number of AI-2 synthase- and receptor-encoding genes can be expressed in the human gut in healthy and/or unhealthy states. The communication network analysis suggests that AI-2-mediated interactions widely occur among members of Firmicutes, Proteobacteria, Actinobacteriota, Campylobacterota, and Spirochaetota. Overall, this study deepens understanding of QS-mediated communication network among human gut microbiota, and provides guidance for engineering gut microbiota and constructing new synthetic microbial consortia based on complex microbial interactions.

Indexed as

BacteriaGastrointestinal MicrobiomeHomoserineLactonesQuorum SensingBacterial ProteinsCarbon-Sulfur LyasesHumansBacterial ProteinsCarbon-Sulfur LyasesHomoserineLactonesLuxS protein, BacteriaN-octanoylhomoserine lactoneAI-2 receptorsautoinducer-2communication networkhuman gut microbiotaQuorum sensing

Identifiers

PMID41056492
PMCPMC12503165

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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.