Evidence map›Paper›PMID 31456781›Full record

ArticleFrontiers in microbiology2019

Speciation Distribution of Heavy Metals in Uranium Mining Impacted Soils and Impact on Bacterial Community Revealed by High-Throughput Sequencing.

Shiqi Xiao, Qian Zhang, Xiaoming Chen, Faqin Dong, Hao Chen, Mingxue Liu, Imran Ali

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

18 citing papers in PubMed, 65 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Shiqi XiaoSchool of Life Sciences and Engineering, Southwest University of Science and Technology, Mianyang, China.
Qian ZhangSchool of Life Sciences and Engineering, Southwest University of Science and Technology, Mianyang, China.
Xiaoming ChenSchool of Life Sciences and Engineering, Southwest University of Science and Technology, Mianyang, China.
Faqin DongSchool of Life Sciences and Engineering, Southwest University of Science and Technology, Mianyang, China.
Hao ChenSichuan Institute of Atomic Energy, Chengdu, China.
Mingxue LiuSchool of Life Sciences and Engineering, Southwest University of Science and Technology, Mianyang, China.
Imran AliSchool of Life Sciences and Engineering, Southwest University of Science and Technology, Mianyang, China.
Southwest University of Science and Technology · CNChina Institute of Atomic Energy · CNUniversity of Balochistan · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the influence of heavy metals on bacterial community structure in a uranium mine. Soils from three differently polluted ditches (Yangchang ditch, Zhongchang ditch, and Sulimutang ditche) were collected from Zoige County, Sichuan province, China. Soil physicochemical properties and heavy metal concentrations were measured. Differences between bacterial communities were investigated using the high-throughput sequencing of the 16S rRNA genes. The obtained results demonstrated that bacterial richness index (Chao and Ace) were similar among three ditches, while the highest bacterial diversity index was detected in the severely contaminated soils. The compositions of bacterial communities varied among three examined sites, but Proteobacteria and Acidobacteria were abundant in all samples. Redundancy analysis revealed that soil organic matter, Cr and pH were the three major factors altering the bacterial community structure. Pearson correlation analysis indicated that the most significant correlations were observed between the contents of non-residual Cr and the abundances of bacterial genera, including

Indexed as

bacterial communitychromiumheavy metal pollutionhigh-throughput sequencinguranium mine

Identifiers

PMID31456781
PMCPMC6700481
OpenAlexW2964692210

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.