Evidence map›Paper›PMID 24037656›Full record

ArticleJournal of microbiology (Seoul, Korea)2013

Bacterial diversity and composition of an alkaline uranium mine tailings-water interface.

Nurul H Khan, Viorica F Bondici, Prabhakara G Medihala, John R Lawrence, Gideon M Wolfaardt, Jeff Warner, Darren R Korber

Abstract read
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In one paragraph

Article in Journal of microbiology (Seoul, Korea), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Nurul H KhanFood and Bioproduct Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Viorica F Bondici
Prabhakara G Medihala
John R Lawrence
Gideon M Wolfaardt
Jeff Warner
Darren R Korber

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbial diversity and biogeochemical potential associated with a northern Saskatchewan uranium mine water-tailings interface was examined using culture-dependent and -independent techniques. Morphologically-distinct colonies from uranium mine water-tailings and a reference lake (MC) obtained using selective and non-selective media were selected for 16S rRNA gene sequencing and identification, revealing that culturable organisms from the uranium tailings interface were dominated by Firmicutes and Betaproteobacteria; whereas, MC organisms mainly consisted of Bacteroidetes and Gammaproteobacteria. Ion Torrent (IT) 16S rRNA metagenomic analysis carried out on extracted DNA from tailings and MC interfaces demonstrated the dominance of Firmicutes in both of the systems. Overall, the tailings-water interface environment harbored a distinct bacterial community relative to the MC, reflective of the ambient conditions (i.e., total dissolved solids, pH, salinity, conductivity, heavy metals) dominating the uranium tailings system. Significant correlations among the physicochemical data and the major bacterial groups present in the tailings and MC were also observed. Presence of sulfate reducing bacteria demonstrated by culture-dependent analyses and the dominance of Desulfosporosinus spp. indicated by Ion Torrent analyses within the tailings-water interface suggests the existence of anaerobic microenvironments along with the potential for reductive metabolic processes.

Indexed as

BiotaUraniumWaterBacteriaBacteriological TechniquesCluster AnalysisCulture MediaDNA, BacterialDNA, RibosomalEnvironmental MicrobiologyMolecular Sequence DataPhylogenyRNA, Ribosomal, 16SSaskatchewanSequence Analysis, DNACulture MediaDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16SUraniumWater

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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.