Evidence map›Paper›PMID 42382405›Full record

ArticleFrontiers in plant science2026

Maize recruits beneficial microorganisms via rhizosphere metabolites as signals to construct a functional network for saline-alkaline stress resistance.

Yehui Han, Xinyuan Li, Chao Zhou, Ting Xu, Yue Liu, Yanhui Dou, Guanghui Hu, Junqiang Wang

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yehui Han *Corn Research Institute, Heilongjiang Academy of Agricultural Sciences, Qiqihar, Heilongjiang, China.
Xinyuan Li *College of Life Sciences, Agriculture and Forestry, Qiqihar University, Qiqihar, Heilongjiang, China.
Chao ZhouCorn Research Institute, Heilongjiang Academy of Agricultural Sciences, Qiqihar, Heilongjiang, China.
Ting XuCorn Research Institute, Heilongjiang Academy of Agricultural Sciences, Qiqihar, Heilongjiang, China.
Yue LiuCorn Research Institute, Heilongjiang Academy of Agricultural Sciences, Qiqihar, Heilongjiang, China.
Yanhui DouCollege of Life Sciences, Agriculture and Forestry, Qiqihar University, Qiqihar, Heilongjiang, China.
Guanghui HuCorn Research Institute, Heilongjiang Academy of Agricultural Sciences, Harbin, Heilongjiang, China.
Junqiang WangCorn Research Institute, Heilongjiang Academy of Agricultural Sciences, Qiqihar, Heilongjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Carbonate-type saline-alkaline stress severely constrains maize production; however, the synergistic response mechanisms between rhizosphere microorganisms and metabolites remain unclear. Methods: Through field experiments along with the integration of soil chemical factor analysis, microbial high-throughput sequencing, and non-targeted metabolomics, we systematically investigated the response mechanisms of the rhizosphere microecosystem to saline-alkaline stress in maize fields in the carbonate chernozem region of the Songnen Plain, Northeast China. Results and discussion: Saline-alkaline stress significantly increased soil pH and electrical conductivity (EC) and decreased soil organic matter (SOM), total nitrogen (TN), and total phosphorus (TP) content. However, the rhizosphere exhibited buffering capacity and maintained a high cation exchange capacity (CEC). Microbial community analysis revealed that bacterial alpha diversity increased under stressful conditions. Contrarily, fungal diversity significantly decreased, and the community structure shifted towards a pathogen-dominated community, primarily within Ascomycota, particularly in the genus

Indexed as

maizemetabolomicsmicrobial co-occurrence networkrhizosphere microbiomesaline–alkaline stress

Identifiers

PMID42382405
PMCPMC13314450

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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.