Evidence map›Paper›PMID 25640238›Full record

ArticleCell2015

Extensive strain-level copy-number variation across human gut microbiome species.

Sharon Greenblum, Rogan Carr, Elhanan Borenstein

Abstract read
In one paragraph

Article in Cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 1 pooled it
–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

150 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
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  5. Article
  6. ΔmSystems · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Liposomes as delivery vectors for nucleic acid mimics intoFrontiers in bioengineering and biotechnology · 2026
    Article
  13. Review
  14. Comparative metagenomics using pan-metagenomic graphs.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Article

90 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.

Sharon GreenblumDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Rogan CarrDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Elhanan BorensteinDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Department of Computer Science and Engineering, University of Washington, Seattle, WA 98195, USA; Santa Fe Institute, Santa Fe, NM 87501, USA. Electronic address: elbo@uw.edu.

Funding

A Computational Framework for Designing Microbiome ManipulationDP2AT007802 · NCCIH · UNIVERSITY OF WASHINGTON · PI BORENSTEIN, ELHANAN · 2012 to 2012
$2.3M
NCCIH NIH HHS DP2 AT007802NCCIH NIH HHS DP2 AT 007802-01
6 · The paper itself

Abstract

Within each bacterial species, different strains may vary in the set of genes they encode or in the copy number of these genes. Yet, taxonomic characterization of the human microbiota is often limited to the species level or to previously sequenced strains, and accordingly, the prevalence of intra-species variation, its functional role, and its relation to host health remain unclear. Here, we present a comprehensive large-scale analysis of intra-species copy-number variation in the gut microbiome, introducing a rigorous computational pipeline for detecting such variation directly from shotgun metagenomic data. We uncover a large set of variable genes in numerous species and demonstrate that this variation has significant functional and clinically relevant implications. We additionally infer intra-species compositional profiles, identifying population structure shifts and the presence of yet uncharacterized variants. Our results highlight the complex relationship between microbiome composition and functional capacity, linking metagenome-level compositional shifts to strain-level variation.

Indexed as

Gene DosageMicrobiotaBacteroidaceaeBacteroidetesEnterobacteriaceaeGastrointestinal TractGram-Positive BacteriaHumansInflammatory Bowel DiseasesObesityPrincipal Component Analysis

Identifiers

PMID25640238
PMCPMC4507803

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.