Evidence map›Paper›PMID 34946065›Full record

ArticleMicroorganisms2021

Succession of Microbial Communities in Waste Soils of an Iron Mine in Eastern China.

Qin Zhang, Pengfei Wei, Joseph Frazer Banda, Linqiang Ma, Weiao Mao, Hongyi Li, Chunbo Hao, Hailiang Dong

Abstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Qin ZhangSchool of Water Resources and Environment, China University of Geosciences, Beijing 100083, China.
Pengfei WeiSchool of Water Resources and Environment, China University of Geosciences, Beijing 100083, China.
Joseph Frazer BandaSchool of Water Resources and Environment, China University of Geosciences, Beijing 100083, China.
Linqiang MaSchool of Water Resources and Environment, China University of Geosciences, Beijing 100083, China.ORCID 0000-0002-1263-4743
Weiao MaoSchool of Water Resources and Environment, China University of Geosciences, Beijing 100083, China.
Hongyi LiSchool of Water Resources and Environment, China University of Geosciences, Beijing 100083, China.
Chunbo HaoSchool of Water Resources and Environment, China University of Geosciences, Beijing 100083, China.
Hailiang DongGeomicrobiology Laboratory, State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing 100083, China.

Funding

National Natural Science Foundation of China 91951115
6 · The paper itself

Abstract

The reclamation of mine dump is largely centered on the role played by microorganisms. However, the succession of microbial community structure and function in ecological restoration of the mine soils is still poorly understood. In this study, soil samples with different stacking time were collected from the dump of an iron mine in China and the physicochemical characteristics and microbial communities of these samples were comparatively investigated. The results showed that the fresh bare samples had the lowest pH, highest ion concentration, and were the most deficient in nutrients while the acidity and ion concentration of old bare samples decreased significantly, and the nutritional conditions improved remarkably. Vegetated samples had the weakest acidity, lowest ion concentration, and the highest nutrient concentration. In the fresh mine soils, the iron/sulfur-oxidizers such as

Indexed as

acid mine drainageAcidobacteriotaecological restorationmicrobial community successionmine soilspH

Identifiers

PMID34946065
PMCPMC8704403

What OpenQuestion holds

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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.