Evidence map›Paper›PMID 40540565›Full record

ArticleScience advances2025

Autoinducing peptides regulate antibiotic production to potentially shape root microbiome.

Nanzhu Chen, Peiyan Cai, Xiaoqian Lin, Zhi-Man Song, Jiaze He, Zewen Li, Zhuohan Li, Dengwei Zhang, Yi Song, Yong-Xin Li

Abstract read
In one paragraph

Article in Science advances, 2025. 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

10 authors.

Nanzhu ChenDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.ORCID 0009-0005-1125-7324
Peiyan CaiDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.ORCID 0000-0003-0084-9883
Xiaoqian LinDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.ORCID 0009-0004-0999-7182
Zhi-Man SongDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Jiaze HeDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.ORCID 0009-0008-1708-5123
Zewen LiShenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.ORCID 0009-0004-7145-4664
Zhuohan LiDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Dengwei ZhangDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.ORCID 0000-0003-3770-8101
Yi SongShenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.ORCID 0000-0002-7129-7900
Yong-Xin LiDepartment of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.ORCID 0000-0003-4422-2302

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbes use signaling molecules to regulate multiple physiological processes and mediate chemical interactions. Decoding these chemical languages is instrumental in comprehending microbial regulatory mechanisms within complex microbiota. Here, we discover previously unidentified autoinducing peptides (AIPs) derived from the plant probiotic bacterium

Indexed as

Anti-Bacterial AgentsBacterial ProteinsMicrobiotaPaenibacillus polymyxaPeptidesPlant RootsMultigene FamilyQuorum SensingRhizosphereAnti-Bacterial AgentsBacterial ProteinsPeptides

Identifiers

PMID40540565
PMCPMC12180512

What OpenQuestion holds

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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.