Evidence map›Paper›PMID 41057967›Full record

ArticleEnvironmental microbiome2025

Variations in plant's cry for help evidenced by modifications of rice root microbiota induced by blast or brown spot diseases.

Léa Jobert, Gabriel Boulard, Nicolas Poncelet, Henri Adreit, Gilles Béna, Lionel Moulin

Abstract read
In one paragraph

Article in Environmental microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Léa JobertPlant Health Institute of Montpellier (PHIM), IRD, CIRAD, INRAE, Institut Agro, Univ Montpellier, Montpellier, France.
Gabriel BoulardPlant Health Institute of Montpellier (PHIM), IRD, CIRAD, INRAE, Institut Agro, Univ Montpellier, Montpellier, France.
Nicolas PonceletPlant Health Institute of Montpellier (PHIM), IRD, CIRAD, INRAE, Institut Agro, Univ Montpellier, Montpellier, France.
Henri AdreitPlant Health Institute of Montpellier (PHIM), IRD, CIRAD, INRAE, Institut Agro, Univ Montpellier, Montpellier, France.
Gilles BénaPlant Health Institute of Montpellier (PHIM), IRD, CIRAD, INRAE, Institut Agro, Univ Montpellier, Montpellier, France.
Lionel MoulinPlant Health Institute of Montpellier (PHIM), IRD, CIRAD, INRAE, Institut Agro, Univ Montpellier, Montpellier, France. lionel.moulin@ird.fr.

Funding

Agropolis Fondation AF 2003-003Ministère de l'Enseignement Supérieur et de la Recherche PhD
6 · The paper itself

Abstract

backgroundPlants can recruit specific microbes to help them defend themselves against phytopathogens in a process known as "cry for help". In this study, we investigated whether a plant species modulates its root-associated microbiome differently - i.e. "cries out differently" - depending on the diversity of fungal pathogens attacking its leaves. To address this question, we monitored changes in the root microbiome of Oryza sativa cv. Nipponbare following infection with two fungal pathogens: Pyricularia oryzae (leaf blast) and Bipolaris oryzae (brown spot), under controlled conditions and using the same soil.

resultsOur results support the "cry for help" hypothesis, suggesting that pathogen-induced stress drives the recruitment of beneficial microbes. While the composition of the root-associated microbiota remained globally stable after infection, subtle but significant taxonomic shifts were observed. Alpha diversity was unaffected, but changes in beta diversity occurred in micro-eukaryotic communities one week after brown spot infection and in bacterial communities two weeks after blast infection. Notably, beneficial taxa such as the bacterial genera Lentzea and Streptomyces, as well as the fungi Cladosporium halotolerans and Rhizophagus irregularis, were enriched in the below-ground microbiome of leaf-infected plants. The biocontrol potential of Rhizophagus irregularis was confirmed against blast but not brown spot infection.

conclusionsThese results advance our understanding of the "cry for help" hypothesis in rice and provide potential candidates for biocontrol. They highlight the complexity of plant-microbe interactions and suggest that rice plants specifically modulate their root microbiome in response to fungal infections, potentially shaping microbial communities to enhance defence strategies.

Indexed as

Amplicon sequencingBiocontrolBipolaris oryzaeMicrobiome assemblyOryza sativaPhytopathogenPyricularia oryzae

Identifiers

PMID41057967
PMCPMC12505648

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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.