Evidence map›Paper›PMID 23027979›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

Correlating microbial community profiles with geochemical data in highly stratified sediments from the Arctic Mid-Ocean Ridge.

Steffen Leth Jorgensen, Bjarte Hannisdal, Anders Lanzén, Tamara Baumberger, Kristin Flesland, Rita Fonseca, Lise Ovreås, Ida H Steen, Ingunn H Thorseth, Rolf B Pedersen and 1 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 1 pooled it
–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

128 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. In silico identification of archaeal DNA-binding proteins.Bioinformatics (Oxford, England) · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. WidespreadmLife · 2023
    Article
  18. Article
  19. Article
  20. Article

68 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Steffen Leth JorgensenCentre for Geobiology, Department of Biology, University of Bergen, 5007 Bergen, Norway. steffen.jorgensen@bio.uib.no
Bjarte Hannisdal
Anders Lanzén
Tamara Baumberger
Kristin Flesland
Rita Fonseca
Lise Ovreås
Ida H Steen
Ingunn H Thorseth
Rolf B Pedersen
Christa Schleper

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities and their associated metabolic activity in marine sediments have a profound impact on global biogeochemical cycles. Their composition and structure are attributed to geochemical and physical factors, but finding direct correlations has remained a challenge. Here we show a significant statistical relationship between variation in geochemical composition and prokaryotic community structure within deep-sea sediments. We obtained comprehensive geochemical data from two gravity cores near the hydrothermal vent field Loki's Castle at the Arctic Mid-Ocean Ridge, in the Norwegian-Greenland Sea. Geochemical properties in the rift valley sediments exhibited strong centimeter-scale stratigraphic variability. Microbial populations were profiled by pyrosequencing from 15 sediment horizons (59,364 16S rRNA gene tags), quantitatively assessed by qPCR, and phylogenetically analyzed. Although the same taxa were generally present in all samples, their relative abundances varied substantially among horizons and fluctuated between Bacteria- and Archaea-dominated communities. By independently summarizing covariance structures of the relative abundance data and geochemical data, using principal components analysis, we found a significant correlation between changes in geochemical composition and changes in community structure. Differences in organic carbon and mineralogy shaped the relative abundance of microbial taxa. We used correlations to build hypotheses about energy metabolisms, particularly of the Deep Sea Archaeal Group, specific Deltaproteobacteria, and sediment lineages of potentially anaerobic Marine Group I Archaea. We demonstrate that total prokaryotic community structure can be directly correlated to geochemistry within these sediments, thus enhancing our understanding of biogeochemical cycling and our ability to predict metabolisms of uncultured microbes in deep-sea sediments.

Indexed as

BiotaArchaeaArctic RegionsBacteriaChromatography, Ion ExchangeCluster AnalysisDNA PrimersGeologic SedimentsMetagenomeOceans and SeasPhylogenyPrincipal Component AnalysisReal-Time Polymerase Chain ReactionRNA, Ribosomal, 16SSequence Analysis, DNASpecies SpecificityDNA PrimersRNA, Ribosomal, 16S

Identifiers

PMID23027979
PMCPMC3479504

What OpenQuestion holds

Textmetadata
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.