Evidence map›Paper›PMID 27522211›Full record

ArticleEnvironmental science and pollution research international2016

The patterns of bacterial community and relationships between sulfate-reducing bacteria and hydrochemistry in sulfate-polluted groundwater of Baogang rare earth tailings.

Xinli An, Paul Baker, Hu Li, Jianqiang Su, Changping Yu, Chao Cai

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2016. 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
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
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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

6 authors at 3 institutions in 2 countries.

Xinli AnInstitute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Paul BakerBangor University, Bangor, Gwynedd, LL572DG, UK.
Hu LiInstitute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Jianqiang SuInstitute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Changping YuInstitute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Chao CaiInstitute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China. ccai@iue.ac.cn.
Institute of Urban Environment · CNBangor University · GBChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms are the primary agents responsible for the modification, degradation, and/or detoxification of pollutants, and thus, they play a major role in their natural attenuation; yet, little is known about the structure and diversity of the subsurface community and relationships between microbial community and groundwater hydrochemistry. In this study, denaturing gradient gel electrophoresis (DGGE) and terminal restriction fragment length polymorphism (T-RFLP) allowed a comparative microbial community analysis of sulfate-contaminated groundwater samples from nine different wells in the region of Baogang rare earth tailings. Using real-time PCR, the abundance of total bacteria and the sulfate-reducing genes of aprA and dsrB were quantified. Statistical analyses showed a clear distinction of the microbial community diversity between the contaminated and uncontaminated samples, with Proteobacteria being the most dominant members of the microbial community. SO

Indexed as

DesulfovibrioGroundwaterMetals, Rare EarthWater Pollutants, ChemicalMicrobial ConsortiaSulfatesMetals, Rare EarthSulfatesWater Pollutants, ChemicalDGGEGroundwaterMicrobial communityRare earth tailingsReal-time PCRSulfate-reducing bacteria (SRB)T-RFLP

Identifiers

PMID27522211
OpenAlexW2510657485

What OpenQuestion holds

Textmetadata
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.