Evidence map›Paper›PMID 15746353›Full record

ArticleApplied and environmental microbiology2005

Introducing DOTUR, a computer program for defining operational taxonomic units and estimating species richness.

Patrick D Schloss, Jo Handelsman

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 884 papers.

0numbers the graph read from it
0cells of the map it votes in
884citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

884 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
  5. Article
  6. Deconvolving Phylogenetic Distance Mixtures.bioRxiv : the preprint server for biology · 2026
    Article
  7. Computational Microbial and Viral Ecology Analysis.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  8. Article
  9. Article
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  11. Review
  12. Article
  13. Review
  14. Article
  15. Investigation of antimicrobial susceptibility and resistance gene prevalence in Capnocytophaga spp. isolated from dogs and cats and characterization of novel class A β-lactamase CST-1.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  16. International journal of systematic and evolutionary microbiology · 2025
    Article
  17. Frontiers in microbiology · 2025
    Article
  18. Article
  19. Article
  20. Review

824 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

2 authors.

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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although copious qualitative information describes the members of the diverse microbial communities on Earth, statistical approaches for quantifying and comparing the numbers and compositions of lineages in communities are lacking. We present a method that addresses the challenge of assigning sequences to operational taxonomic units (OTUs) based on the genetic distances between sequences. We developed a computer program, DOTUR, which assigns sequences to OTUs by using either the furthest, average, or nearest neighbor algorithm for each distance level. DOTUR uses the frequency at which each OTU is observed to construct rarefaction and collector's curves for various measures of richness and diversity. We analyzed 16S rRNA gene libraries derived from Scottish and Amazonian soils and the Sargasso Sea with DOTUR, which assigned sequences to OTUs rapidly and reliably based on the genetic distances between sequences and identified previous inconsistencies and errors in assigning sequences to OTUs. An analysis of the two 16S rRNA gene libraries from soil demonstrated that they do not contain enough sequences to support a claim that they contain different numbers of bacterial lineages with statistical confidence (P > 0.05), nor do they contain enough sequences to provide a robust estimate of species richness when an OTU is defined as containing sequences that are no more than 3% different from each other. In contrast, the richness of OTUs at the 3% level in the Sargasso Sea collection began to plateau after the sampling of 690 sequences. We anticipate that an equivalent extent of sampling for soil would require sampling more than 10,000 sequences, almost 100 times the size of typical sequence collections obtained from soil.

Indexed as

ClassificationEnvironmental MicrobiologySoftwareAlgorithmsEcosystemGene LibraryRNA, Ribosomal, 16SSeawaterSoil MicrobiologyRNA, Ribosomal, 16S

Identifiers

PMID15746353
PMCPMC1065144

What OpenQuestion holds

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Registered trials

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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.