Evidence map›Paper›PMID 40320520›Full record

ArticleMicrobiome2025

Microbe-mediated stress resistance in plants: the roles played by core and stress-specific microbiota.

Sijia Liu, Jiadong Wu, Zhen Cheng, Haofei Wang, Zhelun Jin, Xiang Zhang, Deqiang Zhang, Jianbo Xie

Abstract read
In one paragraph

Article in Microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Principles for Rigorous Design and Application of Synthetic Microbial Communities.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Pooled it
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  9. Response ofApplied and environmental microbiology · 2026
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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

8 authors.

Sijia Liu *State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
Jiadong Wu *State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
Zhen Cheng *State Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
Haofei WangState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
Zhelun JinState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
Xiang ZhangState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
Deqiang ZhangState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
Jianbo XieState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China. jbxie@bjfu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlants in natural surroundings frequently encounter diverse forms of stress, and microbes are known to play a crucial role in assisting plants to withstand these challenges. However, the mining and utilization of plant-associated stress-resistant microbial sub-communities from the complex microbiome remains largely elusive.

resultsThis study was based on the microbial communities over 13 weeks under four treatments (control, drought, salt, and disease) to define the shared core microbiota and stress-specific microbiota. Through co-occurrence network analysis, the dynamic change networks of microbial communities under the four treatments were constructed, revealing distinct change trajectories corresponding to different treatments. Moreover, by simulating species extinction, the impact of the selective removal of microbes on network robustness was quantitatively assessed. It was found that under varying environmental conditions, core microbiota made significant potential contributions to the maintenance of network stability. Our assessment utilizing null and neutral models indicated that the assembly of stress-specific microbiota was predominantly driven by deterministic processes, whereas the assembly of core microbiota was governed by stochastic processes. We also identified the microbiome features from functional perspectives: the shared microbiota tended to enhance the ability of organisms to withstand multiple types of environmental stresses and stress-specific microbial communities were associated with the diverse mechanisms of mitigating specific stresses. Using a culturomic approach, 781 bacterial strains were isolated, and nine strains were selected to construct different SynComs. These experiments confirmed that communities containing stress-specific microbes effectively assist plants in coping with environmental stresses.

conclusionsCollectively, we not only systematically revealed the dynamics variation patterns of rhizosphere microbiome under various stresses, but also sought constancy from the changes, identified the potential contributions of core microbiota and stress-specific microbiota to plant stress tolerance, and ultimately aimed at the beneficial microbial inoculation strategies for plants. Our research provides novel insights into understanding the microbe-mediated stress resistance process in plants. Video Abstract.

Indexed as

BacteriaMicrobiotaPlantsStress, PhysiologicalDroughtsSoil MicrobiologyCommunity ecologyCore microbiotaMetagenomicStress resistanceStress-specific microbiota

Identifiers

PMID40320520
PMCPMC12051278

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.