Evidence map›Paper›PMID 40057547›Full record

ArticleScientific reports2025

Effects of heavy metals on variation in bacterial communities in farmland soil of tailing dam collapse area.

Jinliang Deng, Yinggang Wang, Dan Yu, Xiaojun Li, Jingpeng Yue

Abstract read
In one paragraph

Article in Scientific reports, 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. 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

5 authors.

Jinliang DengKey Laboratory of Regional Environment and Eco-Restoration, Ministry of Education, Shenyang University, Shenyang, 110044, China.
Yinggang WangKey Laboratory of Regional Environment and Eco-Restoration, Ministry of Education, Shenyang University, Shenyang, 110044, China. yinggangwang@syu.edu.cn.
Dan YuKey Laboratory of Regional Environment and Eco-Restoration, Ministry of Education, Shenyang University, Shenyang, 110044, China.
Xiaojun LiInstitute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China.
Jingpeng YueKey Laboratory of Regional Environment and Eco-Restoration, Ministry of Education, Shenyang University, Shenyang, 110044, China.

Funding

National Key R&D Program of China 2019YFD1100504National Water Pollution Control and Treatment Science and Technology Major Project of China 2018ZX07601
6 · The paper itself

Abstract

Heavy metals are commonly present in polluted soil in mining areas. In this study, we investigated 10 sites of farmland soil in the heavy metal tailing dam collapse area (TDCA) with the dominant phyla Acidobacteriota, Proteobacteria, Bacteroidetes, and Planctomycetes. The heavy metal dam collapse area is a composite contamination area of multiple heavy metals, with Cd, Pb and Zn being the most severely contaminated, and the levels of Hg and Cu exceeding the screening values at some of the sites. The Shannon, Chao1 and ACE indices revealed high microbial diversity but low relative abundance of microorganisms at the severely polluted TDCA1 and TDCA3 sites. The results of redundancy analysis (RDA) showed that Hg (Max = 4.31 mg/kg) and Cu (Max = 100 mg/kg) were important factors affecting soil microbial community in the TDCA compared to other heavy metals. Correlation analysis of heavy metals with microbial communities showed that RB41 (Acidobacteria) was more resistant to high concentrations of Cd, Pb, and Zn pollution. The genera of UTCFX1 (Chloroflxi) and norank_TRA3-20 had strong tolerance to the heavy metal Hg. Cu was significantly negatively correlated with norank_WD2101_soil_group (P < 0.05). Therefore these can be used as indicators for monitoring potential heavy metal contamination. The results can be used to predict the changes in the ecosystem of the mining area to maintain its ecological balance and health.

Indexed as

BacteriaMetals, HeavyMicrobiotaSoil MicrobiologySoil PollutantsEnvironmental MonitoringFarmsMiningSoilMetals, HeavySoilSoil PollutantsEnvironmental factorsFunctional predictionHeavy metalsMicrobial compositionMicrobial diversity

Identifiers

PMID40057547
PMCPMC11890580

What OpenQuestion holds

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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.