Evidence map›Paper›PMID 27469056›Full record

ArticleScientific reports2016

Coupling among Microbial Communities, Biogeochemistry, and Mineralogy across Biogeochemical Facies.

James C Stegen, Allan Konopka, James P McKinley, Chris Murray, Xueju Lin, Micah D Miller, David W Kennedy, Erin A Miller, Charles T Resch, Jim K Fredrickson

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

10 authors.

James C StegenPacific Northwest National Laboratory, Richland, WA, USA.
Allan KonopkaPacific Northwest National Laboratory, Richland, WA, USA.
James P McKinleyPacific Northwest National Laboratory, Richland, WA, USA.
Chris MurrayPacific Northwest National Laboratory, Richland, WA, USA.
Xueju LinPacific Northwest National Laboratory, Richland, WA, USA.
Micah D MillerPacific Northwest National Laboratory, Richland, WA, USA.
David W KennedyPacific Northwest National Laboratory, Richland, WA, USA.
Erin A MillerPacific Northwest National Laboratory, Richland, WA, USA.
Charles T ReschPacific Northwest National Laboratory, Richland, WA, USA.
Jim K FredricksonPacific Northwest National Laboratory, Richland, WA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical properties of sediments are commonly used to define subsurface lithofacies and these same physical properties influence subsurface microbial communities. This suggests an (unexploited) opportunity to use the spatial distribution of facies to predict spatial variation in biogeochemically relevant microbial attributes. Here, we characterize three biogeochemical facies-oxidized, reduced, and transition-within one lithofacies and elucidate relationships among facies features and microbial community biomass, richness, and composition. Consistent with previous observations of biogeochemical hotspots at environmental transition zones, we find elevated biomass within a biogeochemical facies that occurred at the transition between oxidized and reduced biogeochemical facies. Microbial richness-the number of microbial taxa-was lower within the reduced facies and was well-explained by a combination of pH and mineralogy. Null modeling revealed that microbial community composition was influenced by ecological selection imposed by redox state and mineralogy, possibly due to effects on nutrient availability or transport. As an illustrative case, we predict microbial biomass concentration across a three-dimensional spatial domain by coupling the spatial distribution of subsurface biogeochemical facies with biomass-facies relationships revealed here. We expect that merging such an approach with hydro-biogeochemical models will provide important constraints on simulated dynamics, thereby reducing uncertainty in model predictions.

Indexed as

MineralsHydrogen-Ion ConcentrationMicrobial ConsortiaMinerals

Identifiers

PMID27469056
PMCPMC4965824

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.