Evidence map›Paper›PMID 40200753›Full record

ArticleThe ISME journal2025

Identification of stress-alleviating strains from the core drought-responsive microbiome of Arabidopsis ecotypes.

Zewen Li, Zhenghong Wang, Yujie Zhang, Jianbo Yang, Kaixiang Guan, Yi Song

Abstract read
In one paragraph

Article 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 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Frontiers in microbiology · 2025
    Article
  8. Desertification gradients shapeFrontiers in microbiology · 2025
    Article
  9. 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

6 authors.

Zewen LiShenzhen 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 518055, China.
Zhenghong WangShenzhen 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 518055, China.
Yujie ZhangShenzhen 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 518055, China.
Jianbo YangYunnan Key Laboratory for Wild Plant Resources, Department of Economic Plants and Biotechnology, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan 650201, China.
Kaixiang GuanShenzhen 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 518055, China.
Yi SongShenzhen 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 518055, China.

Funding

Guangdong Innovative and Entrepreneurial Research Team Program 2023ZT10Y013NSFC General Project 32270286Shenzhen Science and Technology Program RCYX20231211090408015Stable Support Plan Program of Shenzhen Natural Science Fund 20220815160107001
6 · The paper itself

Abstract

Plant genetic and metabolic cues are involved in assembling their "core microbiome" under normal growth conditions. However, whether there is a core "stress responsive microbiome" among natural plant ecotypes remains elusive. Drought is the most significant abiotic stress worldwide. Characterizing conserved core root microbiome changes upon drought stress has the potential to increase plant resistance and resilience in agriculture. We screened the drought tolerance of 130 worldwide Arabidopsis ecotypes and chose the extremely drought tolerant and sensitive ecotypes for comparative microbiome studies. We detected diverse shared differentially abundant ASVs, network driver taxa among ecotypes, suggesting the existence of core drought-responsive microbiome changes. We previously identified 1479 microorganisms through high-throughput culturing, and successfully matched diverse core drought responsive ASVs. Our phenotypic assays validated that only those core drought responsive ASVs with higher fold changes in drought tolerant ecotypes were more likely to protect plants from stress. Transcriptome analysis confirmed that a keystone strain, Massilia sp. 22G3, can broadly reshape osmotic stress responses in roots, such as enhancing the expression of water up-taking, ROS scavenging, and immune genes. Our work reveals the existence of a core drought-responsive microbiome and demonstrates its potential role in enhancing plant stress tolerance. This approach helps characterize keystone "core drought responsive" microbes, and we further provided potential mechanisms underlying Massilia sp. 22G3 mediated stress protection. This work also provided a research paradigm for guiding the discovery of core stress-alleviating microbiomes in crops using natural ecotypes (cultivars).

Indexed as

ArabidopsisDroughtsEcotypeMicrobiotaStress, PhysiologicalGene Expression ProfilingPlant Rootscore microbiomedroughtnatural ecotypesstress-alleviating microorganismstranscriptome

Identifiers

PMID40200753
PMCPMC12043206

What OpenQuestion holds

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LicenceCC BY
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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.