Evidence map›Paper›PMID 22327592›Full record

ArticleApplied and environmental microbiology2012

Microbial functional gene diversity with a shift of subsurface redox conditions during In Situ uranium reduction.

Yuting Liang, Joy D Van Nostrand, Lucie A N'guessan, Aaron D Peacock, Ye Deng, Philip E Long, C Tom Resch, Liyou Wu, Zhili He, Guanghe Li and 3 more

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Transient OMicrobiome · 2018
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Metagenomic applications in environmental monitoring and bioremediation.Journal of industrial microbiology & biotechnology · 2016
    Review
  11. Article
  12. Article
  13. Article
  14. 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

13 authors.

Yuting LiangSchool of Environment, Tsinghua University, Beijing, China.
Joy D Van Nostrand
Lucie A N'guessan
Aaron D Peacock
Ye Deng
Philip E Long
C Tom Resch
Liyou Wu
Zhili He
Guanghe Li
Terry C Hazen
Derek R Lovley
Jizhong Zhou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To better understand the microbial functional diversity changes with subsurface redox conditions during in situ uranium bioremediation, key functional genes were studied with GeoChip, a comprehensive functional gene microarray, in field experiments at a uranium mill tailings remedial action (UMTRA) site (Rifle, CO). The results indicated that functional microbial communities altered with a shift in the dominant metabolic process, as documented by hierarchical cluster and ordination analyses of all detected functional genes. The abundance of dsrAB genes (dissimilatory sulfite reductase genes) and methane generation-related mcr genes (methyl coenzyme M reductase coding genes) increased when redox conditions shifted from Fe-reducing to sulfate-reducing conditions. The cytochrome genes detected were primarily from Geobacter sp. and decreased with lower subsurface redox conditions. Statistical analysis of environmental parameters and functional genes indicated that acetate, U(VI), and redox potential (E(h)) were the most significant geochemical variables linked to microbial functional gene structures, and changes in microbial functional diversity were strongly related to the dominant terminal electron-accepting process following acetate addition. The study indicates that the microbial functional genes clearly reflect the in situ redox conditions and the dominant microbial processes, which in turn influence uranium bioreduction. Microbial functional genes thus could be very useful for tracking microbial community structure and dynamics during bioremediation.

Indexed as

BiotaEnvironmental MicrobiologyGenetic VariationBiodegradation, EnvironmentalEnvironmental PollutantsMicroarray AnalysisOxidation-ReductionUraniumEnvironmental PollutantsUranium

Identifiers

PMID22327592
PMCPMC3318829

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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.