Chen Nanzhu, Cai Peiyan, Lin Xiaoqian, Song Zhi-Man, He Jiaze, Li Zewen, Li Zhuohan, Zhang Dengwei, Song Yi, Li Yong-Xin
Department of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Shenzhen 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.
Sci Adv. 2025 Jun 20;11(25):eadw5076. doi: 10.1126/sciadv.adw5076.
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 , identified as Pp-AIPs. Omics analyses coupled with genetic manipulations revealed that Pp-AIP1 could effectively modulate the production of multiple antimicrobial secondary metabolites at nanomolar concentration, expanding known AIP functions. Furthermore, through inoculating in the natural rhizosphere microbiome and analyzing its antagonistic interactions against root microbes, we suggest that Pp-AIPs may influence the microbial community composition through modulating the antimicrobial spectrum. Global analysis of biosynthetic gene clusters (BGCs) reveal widespread co-occurrence of uncharacterized AIPs with secondary metabolite BGCs. This study underscores the unreported roles of AIPs in antibiotic regulation and the microbiome interactions, advancing knowledge of quorum-sensing mechanisms in microbial ecosystems.
微生物利用信号分子来调节多种生理过程并介导化学相互作用。解读这些化学语言有助于理解复杂微生物群中的微生物调节机制。在此,我们发现了源自植物益生菌的先前未鉴定的自诱导肽(AIPs),命名为Pp-AIPs。组学分析与基因操作相结合表明,Pp-AIP1在纳摩尔浓度下可有效调节多种抗菌次级代谢产物的产生,扩展了已知的AIP功能。此外,通过接种到天然根际微生物群中并分析其与根际微生物的拮抗相互作用,我们认为Pp-AIPs可能通过调节抗菌谱来影响微生物群落组成。对生物合成基因簇(BGCs)的全局分析揭示了未表征的AIPs与次级代谢产物BGCs广泛共现。这项研究强调了AIPs在抗生素调节和微生物群相互作用中的未报道作用,推进了对微生物生态系统中群体感应机制的认识。