Evidence map›Paper›PMID 38743658›Full record

ArticlePloS one2024

Response of microbial community composition and function to land use in mining soils of Xikuang Mountain in Hunan.

Jiao Yue, Dongpeng Zhang, Miaomiao Cao, Yukui Li, Qianwen Liang, Fei Liu, YuQiang Dong

Abstract read
In one paragraph

Article in PloS one, 2024. 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

7 authors.

Jiao YueSchool of life Sciences, Huaibei Normal University, Huaibei, China.
Dongpeng ZhangSchool of life Sciences, Huaibei Normal University, Huaibei, China.
Miaomiao CaoSchool of life Sciences, Huaibei Normal University, Huaibei, China.
Yukui LiSchool of life Sciences, Huaibei Normal University, Huaibei, China.
Qianwen LiangSchool of life Sciences, Huaibei Normal University, Huaibei, China.
Fei LiuSchool of life Sciences, Huaibei Normal University, Huaibei, China.ORCID 0000-0003-4378-5007
YuQiang DongSchool of life Sciences, Huaibei Normal University, Huaibei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nine land types in the northern mining area (BKQ) (mining land, smelting land, living area), the old mining area (LKQ) (whole-ore heap, wasteland, grassland), and southern mining area (NKQ) (grassland, shrubs, farmland) of Xikuang Mountain were chosen to explore the composition and functions of soil bacterial communities under different habitats around mining areas. The composition and functions of soil bacterial communities were compared among the sampling sites using 16S rRNA high-throughput sequencing and metagenomic sequencing. α diversity analysis showed the soil bacterial diversity and abundance in the old mining area were significantly higher than those in the northern mining area. β diversity analysis demonstrated that the soil bacterial community composition was highly similar among different vegetation coverages in the southern mining area. Microbial community function analysis showed the annotated KEGG function pathways and eggNOG function composition were consistent between the grassland of the old mining area and the grassland of the southern mining area. This study uncovers the soil bacterial community composition and functions among different habitats in the mining areas of Xikuang Mountain and will underlie soil ecosystem restoration in different habitats under heavy metal pollution around the mining areas there.

Indexed as

BacteriaMicrobiotaMiningRNA, Ribosomal, 16SSoilSoil MicrobiologyBiodiversityChinaEcosystemHigh-Throughput Nucleotide SequencingRNA, Ribosomal, 16SSoil

Identifiers

PMID38743658
PMCPMC11093284

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.