Evidence map›Paper›PMID 25970606›Full record

ArticlePloS one2015

Microbial community in high arsenic shallow groundwater aquifers in Hetao Basin of Inner Mongolia, China.

Ping Li, Yanhong Wang, Xinyue Dai, Rui Zhang, Zhou Jiang, Dawei Jiang, Shang Wang, Hongchen Jiang, Yanxin Wang, Hailiang Dong

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Electricity-Induced SimultaneousACS ES&T water · 2026
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  4. Exogenous-organic-matter-driven mobilization of groundwater arsenic.Environmental science and ecotechnology · 2023
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  6. ONature communications · 2023
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  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Bacterial community profile of contaminated soils in a typical antimony mining site.Environmental science and pollution research international · 2018
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Ping LiState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, PRC.
Yanhong WangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, PRC; School of Environmental Studies, China University of Geosciences, Wuhan, 430074, PRC.
Xinyue DaiState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, PRC.
Rui ZhangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, PRC.
Zhou JiangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, PRC; School of Environmental Studies, China University of Geosciences, Wuhan, 430074, PRC.
Dawei JiangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, PRC.
Shang WangInstitute of Earth Sciences, China University of Geosciences, Beijing, 10083, China.
Hongchen JiangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, PRC.
Yanxin WangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, PRC; School of Environmental Studies, China University of Geosciences, Wuhan, 430074, PRC.
Hailiang DongState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, PRC; Department of Geology and Environmental Earth Science, Miami University, Oxford, OH, 45056, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A survey was carried out on the microbial community of 20 groundwater samples (4 low and 16 high arsenic groundwater) and 19 sediments from three boreholes (two high arsenic and one low arsenic boreholes) in a high arsenic groundwater system located in Hetao Basin, Inner Mongolia, using the 454 pyrosequencing approach. A total of 233,704 sequence reads were obtained and classified into 12-267 operational taxonomic units (OTUs). Groundwater and sediment samples were divided into low and high arsenic groups based on measured geochemical parameters and microbial communities, by hierarchical clustering and principal coordinates analysis. Richness and diversity of the microbial communities in high arsenic sediments are higher than those in high arsenic groundwater. Microbial community structure was significantly different either between low and high arsenic samples or between groundwater and sediments. Acinetobacter, Pseudomonas, Psychrobacter and Alishewanella were the top four genera in high arsenic groundwater, while Thiobacillus, Pseudomonas, Hydrogenophaga, Enterobacteriaceae, Sulfuricurvum and Arthrobacter dominated high arsenic sediments. Archaeal sequences in high arsenic groundwater were mostly related to methanogens. Biota-environment matching and co-inertia analyses showed that arsenic, total organic carbon, SO4(2-), SO4(2-)/total sulfur ratio, and Fe(2+) were important environmental factors shaping the observed microbial communities. The results of this study expand our current understanding of microbial ecology in high arsenic groundwater aquifers and emphasize the potential importance of microbes in arsenic transformation in the Hetao Basin, Inner Mongolia.

Indexed as

Soil MicrobiologyWater MicrobiologyAcinetobacterArsenicArthrobacterChinaComamonadaceaeEnterobacteriaceaeGroundwaterMicrobiotaMolecular TypingPseudomonasPsychrobacterRNA, Ribosomal, 16SShewanellaThiobacillusArsenicRNA, Ribosomal, 16SWater Pollutants, Chemical

Identifiers

PMID25970606
PMCPMC4429976

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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.