Evidence map›Paper›PMID 19888627›Full record

ArticleMicrobial ecology2010

Microbial diversity in uranium mining-impacted soils as revealed by high-density 16S microarray and clone library.

Gurdeep Rastogi, Shariff Osman, Parag A Vaishampayan, Gary L Andersen, Larry D Stetler, Rajesh K Sani

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Article in Microbial ecology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Gurdeep RastogiDepartment of Chemical and Biological Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA.
Shariff Osman
Parag A Vaishampayan
Gary L Andersen
Larry D Stetler
Rajesh K Sani

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial diversity was characterized in mining-impacted soils collected from two abandoned uranium mine sites, the Edgemont and the North Cave Hills, South Dakota, using a high-density 16S microarray (PhyloChip) and clone libraries. Characterization of the elemental compositions of soils by X-ray fluorescence spectroscopy revealed higher metal contamination including uranium at the Edgemont than at the North Cave Hills mine site. Microarray data demonstrated extensive phylogenetic diversity in soils and confirmed nearly all clone-detected taxonomic levels. Additionally, the microarray exhibited greater diversity than clone libraries at each taxonomic level at both the mine sites. Interestingly, the PhyloChip detected the largest number of taxa in Proteobacteria phylum for both the mine sites. However, clone libraries detected Acidobacteria and Bacteroidetes as the most numerically abundant phyla in the Edgemont and North Cave Hills mine sites, respectively. Several 16S rDNA signatures found in both the microarrays and clone libraries displayed sequence similarities with yet-uncultured bacteria representing a hitherto unidentified diversity. Results from this study demonstrated that highly diverse microbial populations were present in these uranium mine sites. Diversity indices indicated that microbial communities at the North Cave Hills mine site were much more diverse than those at the Edgemont mine site.

Indexed as

BiodiversityMiningBacteriaBase SequenceEnvironmental MonitoringGene LibraryIndustrial WasteMolecular Sequence DataOligonucleotide Array Sequence AnalysisPhylogenyRNA, Ribosomal, 16SSoilSoil MicrobiologySoil PollutantsUraniumIndustrial WasteRNA, Ribosomal, 16SSoilSoil PollutantsUranium

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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.