Evidence map›Paper›PMID 22739491›Full record

ArticleThe ISME journal2012

Salt marsh sediment diversity: a test of the variability of the rare biosphere among environmental replicates.

Jennifer L Bowen, Hilary G Morrison, John E Hobbie, Mitchell L Sogin

Abstract read
In one paragraph

Article in The ISME journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Assessing environmental gradients in relation to dark COApplied and environmental microbiology · 2025
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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

4 authors.

Jennifer L BowenThe Ecosystems Center, Marine Biological Laboratory, Woods Hole, MA, USA. jennifer.bowen@umb.edu
Hilary G Morrison
John E Hobbie
Mitchell L Sogin

Funding

Woods Hole Center for Oceans and Human HealthP50ES012742 · NIEHS · WOODS HOLE OCEANOGRAPHIC INSTITUTION · PI STEGEMAN, JOHN J · 2004 to 2009
$2.8M
NIEHS NIH HHS 1 P50 ES012742-01NIEHS NIH HHS P50 ES012742
6 · The paper itself

Abstract

Much of the phylogenetic diversity in microbial systems arises from rare taxa that comprise the long tail of taxon rank distribution curves. This vast diversity presents a challenge to testing hypotheses about the effects of perturbations on microbial community composition because variability of rare taxa among environmental replicates may be sufficiently large that it would require a prohibitive degree of sequencing to discern differences between samples. In this study we used pyrosequencing of 16S rRNA tags to examine the diversity and within-site variability of salt marsh sediment bacteria. Our goal was to determine whether pyrosequencing could produce similar patterns in community composition among replicate environmental samples from the same location. We hypothesized that repeated sampling from the same location would produce different snapshots of the rare community due to incomplete sequencing of the taxonomically rich rare biosphere. We demonstrate that the salt marsh sediments we sampled contain a remarkably diverse array of bacterial taxa and, in contrast to our hypothesis, repeated sampling from within the same site produces reliably similar patterns in bacterial community composition, even among rare organisms. These results demonstrate that deep sequencing of 16s tags is well suited to distinguish site-specific similarities and differences among rare taxa and is a valuable tool for hypothesis testing in microbial ecology.

Indexed as

BiodiversitySoil MicrobiologyWetlandsBacteriaHigh-Throughput Nucleotide SequencingPhylogenyRNA, BacterialRNA, RibosomalRNA, Ribosomal, 16SSalinitySequence Analysis, DNARNA, BacterialRNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID22739491
PMCPMC3475368

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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.