Evidence map›Paper›PMID 39624713›Full record

ArticleFrontiers in microbiology2024

Soil amendments altered arbuscular mycorrhizal fungal communities in cadmium-contaminated vegetable fields.

Liang Li, Yanning Shi, Wangbiao Xia, Xiyang Wang, Zaijun Xin, Yingchun Liao, Xiaoyan Sun

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. 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. Drought Stress Mediated Changes in Food Crops: Mechanisms and Remediation Strategies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Article
  3. 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

7 authors.

Liang LiInstitute of Microbiology, Jiangxi Academy of Sciences, Nanchang, China.
Yanning ShiNanchang Institute of Technology, Nanchang, China.
Wangbiao XiaNanchang Institute of Technology, Nanchang, China.
Xiyang WangInstitute of Microbiology, Jiangxi Academy of Sciences, Nanchang, China.
Zaijun XinInstitute of Microbiology, Jiangxi Academy of Sciences, Nanchang, China.
Yingchun LiaoNanchang Institute of Technology, Nanchang, China.
Xiaoyan SunInstitute of Microbiology, Jiangxi Academy of Sciences, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil amendments, including various types of fertilizers, are often used to control the uptake of heavy metals such as cadmium in cropping fields. The influence of these amendments on other members of the agroecosystem, such as arbuscular mycorrhizal fungi (AMF), remains less well investigated. Here, we established an experiment with the application of woody peat organic fertilizer and phosphate rock powder to examine its effects on AMF communities in two cadmium-contaminated vegetable crop fields (cucumber and pepper). We found that the application of phosphate rock powder enhanced soil phosphorus content, while the application of woody peat organic fertilizer enhanced soil nitrogen content, but neither influenced AMF abundance. We also found little influence of either amendment on measures of AMF diversity, except in one case where the Shannon index of diversity was lower in pepper fields amended with phosphate rock powder. We did, however, find significant shifts in the community composition and relative abundances of AMF taxa in the two vegetable fields, primarily as a result of shifts in the soil pH and nitrogen content.

Indexed as

arbuscular mycorrhizal fungicadmiumheavy metalssoil amendmentsvegetable fields

Identifiers

PMID39624713
PMCPMC11609156

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.