Evidence map›Paper›PMID 15345436›Full record

ArticleApplied and environmental microbiology2004

Integration of microbial ecology and statistics: a test to compare gene libraries.

Patrick D Schloss, Bret R Larget, Jo Handelsman

Abstract readComparative Study
In one paragraph

Article in Applied and environmental microbiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.

0numbers the graph read from it
0cells of the map it votes in
113citing 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

113 citing papers in PubMed.

  1. Article
  2. Reintroducing mothur: 10 Years Later.Applied and environmental microbiology · 2020
    Review
  3. Phylogenetic analysis of the human antibody repertoire reveals quantitative signatures of immune senescence and aging.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  4. Article
  5. Article
  6. phoD Alkaline Phosphatase Gene Diversity in Soil.Applied and environmental microbiology · 2015
    Article
  7. Article
  8. Article
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  11. Article
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  17. Article
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  20. Article

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

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

3 authors.

Patrick D SchlossDepartment of Plant Pathology, University of Wisconsin--Madison, 1630 Linden Dr., Madison, WI 53706, USA.
Bret R Larget
Jo Handelsman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Libraries of 16S rRNA genes provide insight into the membership of microbial communities. Statistical methods help to determine whether differences in library composition are artifacts of sampling or are due to underlying differences in the communities from which they are derived. To contribute to a growing statistical framework for comparing 16S rRNA libraries, we present a computer program, integral -LIBSHUFF, which calculates the integral form of the Cramér-von Mises statistic. This implementation builds upon the LIBSHUFF program, which uses an approximation of the statistic and makes a number of modifications that improve precision and accuracy. Once integral -LIBSHUFF calculates the P values, when pairwise comparisons are tested at the 0.05 level, the probability of falsely identifying a significant P value is 0.098 for a study with two libraries, 0.265 for three libraries, and 0.460 for four libraries. The potential negative effects of making the multiple pairwise comparisons necessitate correcting for the increased likelihood that differences between treatments are due to chance and do not reflect biological differences. Using integral -LIBSHUFF, we found that previously published 16S rRNA gene libraries constructed from Scottish and Wisconsin soils contained different bacterial lineages. We also analyzed the published libraries constructed for the zebrafish gut microflora and found statistically significant changes in the community during development of the host. These analyses illustrate the power of integral -LIBSHUFF to detect differences between communities, providing the basis for ecological inference about the association of soil productivity or host gene expression and microbial community composition.

Indexed as

Gene LibraryAeromonasAnimalsEcosystemEvolution, MolecularPseudomonasReproducibility of ResultsRNA, Ribosomal, 16SSoilZebrafishRNA, Ribosomal, 16SSoil

Identifiers

PMID15345436
PMCPMC520927

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.