Evidence map›Paper›PMID 27999565›Full record

ArticleFrontiers in microbiology2016

Microbial Community of High Arsenic Groundwater in Agricultural Irrigation Area of Hetao Plain, Inner Mongolia.

Yanhong Wang, Ping Li, Zhou Jiang, Aki Sinkkonen, Shi Wang, Jin Tu, Dazhun Wei, Hailiang Dong, Yanxin Wang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  6. Effects ofFrontiers in microbiology · 2021
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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

9 authors.

Yanhong WangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences Wuhan, China.
Ping LiState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences Wuhan, China.
Zhou JiangState Key Laboratory of Biogeology and Environmental Geology, China University of GeosciencesWuhan, China; School of Environmental Studies, China University of GeosciencesWuhan, China.
Aki SinkkonenDepartment of Environmental Sciences, University of HelsinkiLahti, Finland; Lawrence Berkeley National Laboratory, BerkeleyCA, USA.
Shi WangLawrence Berkeley National Laboratory, Berkeley CA, USA.
Jin TuState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences Wuhan, China.
Dazhun WeiState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences Wuhan, China.
Hailiang DongState Key Laboratory of Biogeology and Environmental Geology, China University of GeosciencesWuhan, China; Department of Geology and Environmental Earth Science, Miami University, OxfordOH, USA.
Yanxin WangState Key Laboratory of Biogeology and Environmental Geology, China University of GeosciencesWuhan, China; School of Environmental Studies, China University of GeosciencesWuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities can play important role in arsenic release in groundwater aquifers. To investigate the microbial communities in high arsenic groundwater aquifers in agricultural irrigation area, 17 groundwater samples with different arsenic concentrations were collected along the agricultural drainage channels of Hangjinhouqi County, Inner Mongolia and examined by illumina MiSeq sequencing approach targeting the V4 region of the 16S rRNA genes. Both principal component analysis and hierarchical clustering results indicated that these samples were divided into two groups (high and low arsenic groups) according to the variation of geochemical characteristics. Arsenic concentrations showed strongly positive correlations with [Formula: see text] and total organic carbon (TOC). Sequencing results revealed that a total of 329-2823 operational taxonomic units (OTUs) were observed at the 97% OTU level. Microbial richness and diversity of high arsenic groundwater samples along the drainage channels were lower than those of low arsenic groundwater samples but higher than those of high arsenic groundwaters from strongly reducing areas. The microbial community structure in groundwater along the drainage channels was different from those in strongly reducing arsenic-rich aquifers of Hetao Plain and other high arsenic groundwater aquifers including Bangladesh, West Bengal, and Vietnam.

Indexed as

arsenicgroundwaterHetao Plainillumina MiSeqirrigationmicrobial community

Identifiers

PMID27999565
PMCPMC5138239

What OpenQuestion holds

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Registered trials

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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.