Evidence map›Paper›PMID 29951795›Full record

ArticleEcotoxicology (London, England)2018

Diversity and abundance of arsenic methylating microorganisms in high arsenic groundwater from Hetao Plain of Inner Mongolia, China.

Yanhong Wang, Ping Li, Zhou Jiang, Han Liu, Dazhun Wei, Helin Wang, Yanxin Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Ecotoxicology (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Microbial Arsenic Methylation in Soil and Uptake and Metabolism of Methylated Arsenic in Plants: A Review.International journal of environmental research and public health · 2019
    Review
  5. Article
  6. 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.

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. pli@cug.edu.cn.
Zhou JiangSchool of Environmental Studies, China University of Geosciences, Wuhan, China.
Han LiuState 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.
Helin WangSchool of Environmental Studies, China University of Geosciences, Wuhan, China.
Yanxin WangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China. yx.wang1108@gmail.com.

Funding

National Natural Science Foundation of China 41372348National Natural Science Foundation of China 41521001National Natural Science Foundation of China 41702260National Natural Science Foundation of China 41702365
6 · The paper itself

Abstract

Arsenic methylation is regarded as an effective way of arsenic detoxification. Current knowledge about arsenic biomethylation in high arsenic groundwater remains limited. In the present study, 16 high arsenic groundwater samples from deep wells of the Hetao Plain were investigated using clone library and quantitative polymerase chain reaction (qPCR) analyses of arsM genes as well as geochemical analysis. The concentrations of methylated arsenic (including monomethylarsonic acid (MMA) and dimethylarsinic acid (DMA)) varied from 2.40 to 16.85 μg/L. Both bacterial and archaeal arsenic methylating populations were detected in the high arsenic aquifer. They were dominated by Proteobacteria, Firmicutes, Gemmatimonadetes, Nitrospirae, Methanomicrobia and a large unidentified group. The abundances of predominant populations were correlated positively to either total organic carbon or total arsenic and arsenite concentrations. The arsM gene abundances in high arsenic groundwater ranged from below detection to 5.71 × 10

Indexed as

Genetic VariationWater MicrobiologyArsenicChinaEnvironmental MonitoringGroundwaterMicrobiotaWater Pollutants, ChemicalArsenicWater Pollutants, ChemicalArsenic methylationarsM geneGroundwaterHetao PlainMicrobial community

Identifiers

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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.