
CLC number:
On-line Access: 2025-10-21
Received: 2025-03-02
Revision Accepted: 2025-08-03
Crosschecked: 2025-10-21
Cited: 0
Clicked: 1386
Citations: Bibtex RefMan EndNote GB/T7714
Hongfu LI, Yaxin HU, Siqi CHEN, Yusufjon GAFFOROV, Mengcen WANG, Xiaoyu LIU. Harnessing chemical communication in plant–microbiome and intra-microbiome interactions[J]. Journal of Zhejiang University Science B, 2025, 26(10): 923-934.
@article{title="Harnessing chemical communication in plant–microbiome and intra-microbiome interactions",
author="Hongfu LI, Yaxin HU, Siqi CHEN, Yusufjon GAFFOROV, Mengcen WANG, Xiaoyu LIU",
journal="Journal of Zhejiang University Science B",
volume="26",
number="10",
pages="923-934",
year="2025",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B2500099"
}
%0 Journal Article
%T Harnessing chemical communication in plant–microbiome and intra-microbiome interactions
%A Hongfu LI
%A Yaxin HU
%A Siqi CHEN
%A Yusufjon GAFFOROV
%A Mengcen WANG
%A Xiaoyu LIU
%J Journal of Zhejiang University SCIENCE B
%V 26
%N 10
%P 923-934
%@ 1673-1581
%D 2025
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B2500099
TY - JOUR
T1 - Harnessing chemical communication in plant–microbiome and intra-microbiome interactions
A1 - Hongfu LI
A1 - Yaxin HU
A1 - Siqi CHEN
A1 - Yusufjon GAFFOROV
A1 - Mengcen WANG
A1 - Xiaoyu LIU
J0 - Journal of Zhejiang University Science B
VL - 26
IS - 10
SP - 923
EP - 934
%@ 1673-1581
Y1 - 2025
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B2500099
Abstract: chemical communication in plant-microbiome and intra-microbiome interactions weaves a complex network, critically shaping ecosystem stability and agricultural productivity. This non-contact interaction is driven by small-molecule signals that orchestrate crosstalk dynamics and beneficial association. Plants leverage these signals to distinguish between pathogens and beneficial microbes, dynamically modulate immune responses, and secrete exudates to recruit a beneficial microbiome, while microbes in turn influence plant nutrient acquisition and stress resilience. Such bidirectional chemical dialogues underpin nutrient cycling, co-evolution, microbiome assembly, and plant resistance. However, knowledge gaps persist regarding validating the key molecules involved in plant-microbe interactions. Interpreting chemical communication requires multi-omics integration to predict key information, genome editing and click chemistry to verify the function of biomolecules, and artificial intelligence (AI) models to improve resolution and accuracy. This review helps advance the understanding of chemical communication and provides theoretical support for agriculture to cope with food insecurity and climate challenges.
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