Evidence map›Paper›PMID 41182240›Full record

ReviewThe ISME journal2025

Epigenetic landscape underlying plant-microbiome chemical communication.

Fangze Gui, Yusufjon Gafforov, Juan Ignacio Vílchez, Jiangtao Zhao, Zhonghua Ma, Tianxing Lv, Mengcen Wang

Abstract readReview
In one paragraph

Review 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

7 authors.

Fangze GuiCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310058, China.
Yusufjon GafforovCentral Asian Center for Development Studies, New Uzbekistan University, Tashkent 100007, Uzbekistan.
Juan Ignacio VílcheziPlantMicro Laboratory Oeiras, Instituto de Tecnologia Química e Biológica (ITQB)-NOVA, Oeiras, Lisboa 2780-157, Portugal.
Jiangtao ZhaoCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310058, China.
Zhonghua MaCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310058, China.ORCID 0000-0002-5426-0997
Tianxing LvCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310058, China.
Mengcen WangCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310058, China.ORCID 0000-0001-7169-6779

Funding

National Key R&D Program of China 2023YFD1400901National Natural Science Foundation of China 32122074National Natural Science Foundation of China U21A20219Programme for High-Level Talents Cultivation of Zhejiang University, and Ningbo Key Laboratory of Testing and Control for Characteristic Agro-Product Quality and Safety KF202303Zhejiang University Global Partnership Fund, Fundamental Research Funds for the Central Universities 226-2024-00070
6 · The paper itself

Abstract

Chemical communication, a universal mode among the interactive members within dynamic plant-microbiome systems, fundamentally drives coevolutionary trajectories. Emerging evidence suggests the critical role of epigenetic regulation in chemical communication, though its mechanistic insights are yet not well understood, a gap that has limited the precise mining of microbiomes function in modern agriculture. Here, we synthesize recent findings from chemistry to epigenetics to illuminate the overlooked epigenetic landscape in plant-microbiome chemical communication. Revisiting the traditional plant-pathogen interaction model and a more complex ternary model involving the plant resident microbiota, we not only present knowledge gaps but also critically dissect the paradoxical roles of resident microbiota by proposing four chemo-epigenetic patterns that fine-tune the interactions among plants, resident microbiota and pathogens. Further, Intelligent Click Chemistry, an innovative interdisciplinary strategy integrating click chemistry and artificial intelligence, is proposed and discussed, with the aim of unraveling the complex chemo-epigenetic events underlying plant-microbiome chemical communication. Untangling the epigenetic landscape underpinning plant-microbiome chemical communication would enable the strategic and precise exploitation of beneficial microbial traits and suppression of detrimental interactions for sustainable agriculture.

Indexed as

Epigenesis, GeneticHost Microbial InteractionsMicrobiotaPlantsClick Chemistrychemical communicationclick chemistryepigeneticsplant-microbiome interactionssustainable agriculture

Identifiers

PMID41182240
PMCPMC12642704

What OpenQuestion holds

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Registered trials

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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.