Evidence map›Paper›PMID 34444410›Full record

ArticleInternational journal of environmental research and public health2021

Changes in the Composition of the Soil Bacterial Community in Heavy Metal-Contaminated Farmland.

Shu-Chun Tseng, Chih-Ming Liang, Taipau Chia, Shan-Shin Ton

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Profile of Bacterial Community and Antibiotic Resistance Genes in Typical Vegetable Greenhouse Soil.International journal of environmental research and public health · 2022
    Article
  7. 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

4 authors.

Shu-Chun TsengDepartment of Environmental Engineering and Science, Feng Chia University, Taichung City 407802, Taiwan.ORCID 0000-0002-5519-7598
Chih-Ming LiangDepartment of Environmental Engineering and Science, Feng Chia University, Taichung City 407802, Taiwan.
Taipau ChiaDepartment of Safety, Health and Environmental Engineering, Hung Kuang University, No. 1018, Sec. 6, Taiwan Boulevard, Shalu District, Taichung City 433304, Taiwan.
Shan-Shin TonDepartment of Environmental Engineering and Science, Feng Chia University, Taichung City 407802, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The structural changes of microorganisms in soil are the focus of soil indicators research. The purpose of this study was to investigate the changes in the composition of the soil bacterial community in heavy metal-contaminated soil. A total of six soil samples (two sampling times) were collected from contaminated farmland at three different depths (surface, middle, and deep layer). The pH value was measured. The concentrations of heavy metals (Cr, Ni, Cu, Zn, Cd, and Pb) and the soil bacterial community were analyzed using ICP-OES and 16S rRNA gene sequencing. The results of the two samplings showed that the pH value in the deep layer decreased from 6.88 to 6.23, and the concentrations of Cu, Zn, Cd, and Pb, with a smaller ion radius, increased by 16-28%, and Shannon, Chao1 increased by ~13%. The bacteria community composition at the three depths changed, but Proteobacteria, Acidobacteria, and Actinobacteria were the dominant phyla. In the copper and zinc tolerance test, the isolated bacterium that was able to tolerate copper and zinc was

Indexed as

Metals, HeavySoil PollutantsBacteriaChinaEnvironmental MonitoringFarmsRNA, Ribosomal, 16SSoilMetals, HeavyRNA, Ribosomal, 16SSoilSoil Pollutantsbacterial communityheavy metalssoil bacteria

Identifiers

PMID34444410
PMCPMC8394363

What OpenQuestion holds

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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.