Evidence map›Paper›PMID 20386898›Full record

ArticleMicrobial ecology2010

Microbial and mineralogical characterizations of soils collected from the deep biosphere of the former Homestake gold mine, South Dakota.

Gurdeep Rastogi, Shariff Osman, Ravi Kukkadapu, Mark Engelhard, Parag A Vaishampayan, Gary L Andersen, Rajesh K Sani

Abstract read
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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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  7. High-Level Abundances ofApplied and environmental microbiology · 2019
    Article
  8. Article
  9. Viable cyanobacteria in the deep continental subsurface.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  10. Article
  11. Article
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  14. Review
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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

7 authors.

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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A microbial census on deep biosphere (1.34 km depth) microbial communities was performed in two soil samples collected from the Ross and number 6 Winze sites of the former Homestake gold mine, Lead, South Dakota using high-density 16S microarrays (PhyloChip). Soil mineralogical characterization was carried out using X-ray diffraction, X-ray photoelectron, and Mössbauer spectroscopic techniques which demonstrated silicates and iron minerals (phyllosilicates and clays) in both samples. Microarray data revealed extensive bacterial diversity in soils and detected the largest number of taxa in Proteobacteria phylum followed by Firmicutes and Actinobacteria. The archael communities in the deep gold mine environments were less diverse and belonged to phyla Euryarchaeota and Crenarchaeota. Both the samples showed remarkable similarities in microbial communities (1,360 common OTUs) despite distinct geochemical characteristics. Fifty-seven phylotypes could not be classified even at phylum level representing a hitherto unidentified diversity in deep biosphere. PhyloChip data also suggested considerable metabolic diversity by capturing several physiological groups such as sulfur-oxidizer, ammonia-oxidizers, iron-oxidizers, methane-oxidizers, and sulfate-reducers in both samples. High-density microarrays revealed the greatest prokaryotic diversity ever reported from deep subsurface habitat of gold mines.

Indexed as

MiningSoil MicrobiologyArchaeaBacteriaDNA, ArchaealDNA, BacterialGoldOligonucleotide Array Sequence AnalysisPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASouth DakotaDNA, ArchaealDNA, BacterialGoldRNA, Ribosomal, 16S

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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.