Evidence map›Paper›PMID 33196984›Full record

ArticleEcotoxicology (London, England)2021

Diversity and arsenic-metabolizing gene clusters of indigenous arsenate-reducing bacteria in high arsenic groundwater of the Hetao Plain, Inner Mongolia.

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

Abstract read
PubMed Publisher
In one paragraph

Article in Ecotoxicology (London, England), 2021. 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
0.9field-weighted citation impact, top 27% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Genomic insights fromFrontiers in microbiology · 2022
    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 at 1 institution in 1 country.

Yanhong WangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, PR China.
Dazhun WeiState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, PR China.
Ping LiState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, PR China. pli@cug.edu.cn.
Zhou JiangSchool of Environmental Studies, China University of Geosciences, Wuhan, 430074, PR China.
Han LiuState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, PR China.
Chun QingState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, PR China.
Helin WangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, 430074, PR China.
China University of Geosciences · CN

Funding

National Natural Science Foundation of China 91851115
6 · The paper itself

Abstract

Dissimilatory arsenate reduction from arsenic (As)-bearing minerals into highly mobile arsenite is one of the key mechanisms of As release into groundwater. To detect the microbial diversity and As-metabolizing gene clusters of indigenous arsenate-reducing bacteria in high As groundwater in the Hetao Plain of Inner Mongolia, China, three anaerobic arsenate-reducing bacteria were isolated and arrA and arsC gene-based clone libraries of four in situ groundwater samples were constructed. The strains IMARCUG-11(G-11), IMARCUG-C1(G-C1) and IMARCUG-12(G-12) were phylogenetically belonged to genera Paraclostridium, Citrobacter and Klebsiella, respectively. They could reduce >99% of 1 mM arsenate under anoxic conditions with lactate as a carbon source in 60 h, 72 h and 84 h, respectively. As far as we know, this was the first report of arsenate reduction by genus Paraclostridium. Compared with strain G-11 (arsC) and G-C1 (arsRBC), strain G-12 contained two incomplete ars operons (operon1: arsABC, operon2: arsBC), indicating that these strains might present different strategies to resist As toxicity. Phylogenetic analysis illuminating by the arrA genes showed that in situ arsenate-reducing bacterial communities were diverse and mainly composed of Desulfobacterales (53%, dominated by Geobacter), Betaproteobacteria (12%), and unidentified groups (35%). Based on the arsC gene analysis, the indigenous arsenate-reducing bacterial communities were mainly affiliated with Omnitrophica (88%) and Deltaproteobacteria (11%, dominated by Geobacter and Syntrophobacterales). Results of this study expanded our understanding of indigenous arsenic-reducing bacteria in high As groundwater aquifers.

Indexed as

ArsenicGroundwaterArsenatesBacteriaChinaMultigene FamilyPhylogenyArsenatesArsenicArsenate-reducing bacteriaArsenic-metabolizing gene clustersDiversityHigh arsenic groundwaterIsolation

Identifiers

PMID33196984
OpenAlexW3100374365

What OpenQuestion holds

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Read underepoch 390

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.