Evidence map›Paper›PMID 41276683›Full record

ArticleCommunications biology2025

Heterogeneous distribution of toxic arsenic modulates the mutualistic interaction between Pteris vittata and soil microbiota.

Xiaoming Wan, Yuluo Wang, Weibin Zeng, Yanru Zhou, Mei Lei, Tongbin Chen

Abstract read
In one paragraph

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

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. Review
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.

Xiaoming WanInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. wanxm.06s@igsnrr.ac.cn.ORCID http://orcid.org/0000-0002-2948-7655
Yuluo WangInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Weibin ZengInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Yanru ZhouInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Mei LeiInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Tongbin ChenInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While soil nutrient heterogeneity is known to influence plant fitness and ecosystem diversity, the ecological effects of heterogeneous arsenic (As) contamination on plant-microbe interactions remain unclear. Using multi-omics, we demonstrate that the As-hyperaccumulator Pteris vittata restores diminished microbial alpha diversity under As heterogeneity. The plant actively forages As by proliferating roots in As-rich patches and altering its root exudate profile. Key exudates, such as phosphocholine and N-acetyl histamine, recruit specific microbial taxa, such as class KD4-96, and order Vicinamibacteraceae, which upregulate As-transforming genes and enhance As mobilization. Rhizobacteria including Blastococcus and Streptomyces also produce auxin, stimulating root growth. Together, these responses form a self-reinforcing feedback loop-linking root foraging, microbial recruitment, As mobilization, and root elongation-that amplifies plant growth and arsenic uptake. Our work establishes a rhizosphere engineering strategy to leverage such plant-microbe feedbacks for improved phytoremediation.

Indexed as

ArsenicMicrobiotaPterisSoil MicrobiologySoil PollutantsSymbiosisBacteriaPlant RootsRhizosphereArsenicSoil Pollutants

Identifiers

PMID41276683
PMCPMC12749001

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.