Evidence map›Paper›PMID 29184025›Full record

ArticlemBio2017

Microbial Community Structure and Arsenic Biogeochemistry in Two Arsenic-Impacted Aquifers in Bangladesh.

Edwin T Gnanaprakasam, Jonathan R Lloyd, Christopher Boothman, Kazi Matin Ahmed, Imtiaz Choudhury, Benjamin C Bostick, Alexander van Geen, Brian J Mailloux

Open access · goldAbstract read
In one paragraph

Article in mBio, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
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  10. Frontiers in microbiology · 2020
    Article
  11. Article
  12. Genomic Analysis ofInternational journal of molecular sciences · 2019
    Article
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  14. Review
  15. 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

8 authors at 5 institutions in 3 countries.

Edwin T GnanaprakasamSchool of Earth and Environmental Sciences and Williamson Research Centre for Molecular Environmental Science, the University of Manchester, Manchester, United Kingdom edwin.gnanaprakasam@postgrad.manchester.ac.uk jon.lloyd@manchester.ac.uk bmaillou@barnard.edu.
Jonathan R LloydSchool of Earth and Environmental Sciences and Williamson Research Centre for Molecular Environmental Science, the University of Manchester, Manchester, United Kingdom edwin.gnanaprakasam@postgrad.manchester.ac.uk jon.lloyd@manchester.ac.uk bmaillou@barnard.edu.
Christopher BoothmanSchool of Earth and Environmental Sciences and Williamson Research Centre for Molecular Environmental Science, the University of Manchester, Manchester, United Kingdom.
Kazi Matin AhmedDepartment of Geology, University of Dhaka, Dhaka, Bangladesh.
Imtiaz ChoudhuryDepartment of Geology, University of Dhaka, Dhaka, Bangladesh.
Benjamin C BostickLamont-Doherty Earth Observatory, Columbia University, Palisades, New York, USA.
Alexander van GeenLamont-Doherty Earth Observatory, Columbia University, Palisades, New York, USA.
Brian J MaillouxEnvironmental Science Department, Barnard College, New York, New York, USA edwin.gnanaprakasam@postgrad.manchester.ac.uk jon.lloyd@manchester.ac.uk bmaillou@barnard.edu.
University of Manchester · GBUniversity of Dhaka · BDBarnard College · USColumbia University · USLamont-Doherty Earth Observatory · US

Funding

Training CoreP42ES010349 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2000 to 2020
$53.6M
NIEHS NIH HHS P42 ES010349
6 · The paper itself

Abstract

Long-term exposure to trace levels of arsenic (As) in shallow groundwater used for drinking and irrigation puts millions of people at risk of chronic disease. Although microbial processes are implicated in mobilizing arsenic from aquifer sediments into groundwater, the precise mechanism remains ambiguous. The goal of this work was to target, for the first time, a comprehensive suite of state-of-the-art molecular techniques in order to better constrain the relationship between indigenous microbial communities and the iron and arsenic mineral phases present in sediments at two well-characterized arsenic-impacted aquifers in Bangladesh. At both sites, arsenate [As(V)] was the major species of As present in sediments at depths with low aqueous As concentrations, while most sediment As was arsenite [As(III)] at depths with elevated aqueous As concentrations. This is consistent with a role for the microbial As(V) reduction in mobilizing arsenic. 16S rRNA gene analysis indicates that the arsenic-rich sediments were colonized by diverse bacterial communities implicated in both dissimilatory Fe(III) and As(V) reduction, while the correlation analyses involved phylogenetic groups not normally associated with As mobilization. Findings suggest that direct As redox transformations are central to arsenic fate and transport and that there is a residual reactive pool of both As(V) and Fe(III) in deeper sediments that could be released by microbial respiration in response to hydrologic perturbation, such as increased groundwater pumping that introduces reactive organic carbon to depth.

Indexed as

BiotaArsenatesArsenicArsenitesBacteriaBangladeshCluster AnalysisDNA, RibosomalGeologic SedimentsGroundwaterIronPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNAArsenatesArsenicArsenitesDNA, RibosomalIronRNA, Ribosomal, 16Sarsenicbiogeochemistrygeomicrobiologymetagenomics

Identifiers

PMID29184025
PMCPMC5705915
OpenAlexW2770228537

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.