Evidence map›Paper›PMID 27252689›Full record

ArticleFrontiers in microbiology2016

Molecular Evidence for Metabolically Active Bacteria in the Atmosphere.

Ann M Klein, Brendan J M Bohannan, Daniel A Jaffe, David A Levin, Jessica L Green

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Rhizosphere microbiomes of field-grownFrontiers in microbiology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Microbial ecology of the atmosphere.FEMS microbiology reviews · 2022
    Review
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Ann M KleinInstitute of Ecology and Evolution, Department of Biology, University of Oregon, Eugene, OR USA.
Brendan J M BohannanInstitute of Ecology and Evolution, Department of Biology, University of Oregon, Eugene, OR USA.
Daniel A JaffeDepartment of Atmospheric Sciences, University of Washington Bothell, Bothell, WA USA.
David A LevinDepartment of Mathematics, University of Oregon, Eugene, OR USA.
Jessica L GreenInstitute of Ecology and Evolution, Department of Biology, University of Oregon, Eugene, ORUSA; Santa Fe Institute, Santa Fe, NMUSA.

Funding

Research Area IIIP50GM098911 · NIGMS · UNIVERSITY OF OREGON · PI GUILLEMIN, KAREN J · 2012 to 2016
$9.8M
NIGMS NIH HHS P50 GM098911
6 · The paper itself

Abstract

Bacterial metabolisms are responsible for critical chemical transformations in nearly all environments, including oceans, freshwater, and soil. Despite the ubiquity of bacteria in the atmosphere, little is known about the metabolic functioning of atmospheric bacterial communities. To gain a better understanding of the metabolism of bacterial communities in the atmosphere, we used a combined empirical and model-based approach to investigate the structure and composition of potentially active bacterial communities in air sampled at a high elevation research station. We found that the composition of the putatively active bacterial community (assayed via rRNA) differed significantly from the total bacterial community (assayed via rDNA). Rare taxa in the total (rDNA) community were disproportionately active relative to abundant taxa, and members of the order Rhodospirillales had the highest potential for activity. We developed theory to explore the effects of random sampling from the rRNA and rDNA communities on observed differences between the communities. We found that random sampling, particularly in cases where active taxa are rare in the rDNA community, will give rise to observed differences in community composition including the occurrence of "phantom taxa", taxa which are detected in the rRNA community but not the rDNA community. We show that the use of comparative rRNA/rDNA techniques can reveal the structure and composition of the metabolically active portion of bacterial communities. Our observations suggest that metabolically active bacteria exist in the atmosphere and that these communities may be involved in the cycling of organic compounds in the atmosphere.

Indexed as

atmospheremetabolic activityrarityRhodospirillalessampling theory

Identifiers

PMID27252689
PMCPMC4878314

What OpenQuestion holds

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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.