Evidence map›Paper›PMID 41180402›Full record

ArticleFrontiers in plant science2025

Precipitation-driven restructuring of rhizosphere microbiota enhances alpine plant adaptation.

Chao Chen, Dafeng Xu, Benli Jiang, Xianyong Lu, Chun Yu, Yujiao Wang, Hongjuan Wang, Jingna Li, Jiabao Zhu

Abstract read
In one paragraph

Article in Frontiers in plant science, 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. Article
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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

9 authors.

Chao Chen *Institute of Industrial Crops, Anhui Academy of Agricultural Sciences, Hefei, China.
Dafeng Xu *Institute of Industrial Crops, Anhui Academy of Agricultural Sciences, Hefei, China.
Benli JiangInstitute of Industrial Crops, Anhui Academy of Agricultural Sciences, Hefei, China.
Xianyong LuInstitute of Industrial Crops, Anhui Academy of Agricultural Sciences, Hefei, China.
Chun YuInstitute of Industrial Crops, Anhui Academy of Agricultural Sciences, Hefei, China.
Yujiao WangInstitute of Industrial Crops, Anhui Academy of Agricultural Sciences, Hefei, China.
Hongjuan WangInstitute of Industrial Crops, Anhui Academy of Agricultural Sciences, Hefei, China.
Jingna LiSchool of Biological and Food Engineering, Hefei Normal University, Hefei, China.
Jiabao ZhuInstitute of Industrial Crops, Anhui Academy of Agricultural Sciences, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Climate-driven precipitation changes are increasingly threatening alpine ecosystems, yet the adaptive responses of soil microbiomes to rainfall variability remain poorly characterized. This knowledge gaphinders our ability to predict ecosystem resilience under future climate scenarios. Methods: We combined metagenomic sequencing with detailed physicochemical analyses to examine how natural precipitation events reshape the microbial communities in both rhizosphere and bulk soils associated with Results: Rainfall significantly reduced bacterial alpha diversity, particularly in bulk soils, and triggered a compositional shift from drought-resistant taxa (e.g., Discussion: These results elucidate microbiome-mediated adaptive strategies to precipitation changes in alpine sandy ecosystems, highlighting the critical buffering role of plant-microbe interactions. The study provides a mechanistic basis for predicting and restoring climatevulnerable wetlands under increasingly variable hydrological regimes.

Indexed as

alpine sandy ecosystemsmicrobial adaptationPoa alpigenaprecipitationrhizosphere microbiomes

Identifiers

PMID41180402
PMCPMC12573296

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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.