Evidence map›Paper›PMID 22022321›Full record

ArticleFrontiers in microbiology2011

Functional metagenomic investigations of the human intestinal microbiota.

Aimee M Moore, Christian Munck, Morten O A Sommer, Gautam Dantas

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Review
  3. Article
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  7. Review
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  9. Article
  10. Article
  11. Clinical Resistome Screening of 1,110Frontiers in microbiology · 2019
    Article
  12. Review
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  14. Review
  15. Review
  16. Assessing the Intestinal Microbiota in the SHINE Trial.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2015
    Article
  17. Article
  18. Review
  19. Review
  20. Human health and disease in a microbial world.Frontiers in microbiology · 2011
    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

4 authors.

Aimee M MooreCenter for Genome Sciences and Systems Biology, Washington University School of Medicine St. Louis, MO, USA.
Christian Munck
Morten O A Sommer
Gautam Dantas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human intestinal microbiota encode multiple critical functions impacting human health, including metabolism of dietary substrate, prevention of pathogen invasion, immune system modulation, and provision of a reservoir of antibiotic resistance genes accessible to pathogens. The complexity of this microbial community, its recalcitrance to standard cultivation, and the immense diversity of its encoded genes has necessitated the development of novel molecular, microbiological, and genomic tools. Functional metagenomics is one such culture-independent technique, used for decades to study environmental microorganisms, but relatively recently applied to the study of the human commensal microbiota. Metagenomic functional screens characterize the functional capacity of a microbial community, independent of identity to known genes, by subjecting the metagenome to functional assays in a genetically tractable host. Here we highlight recent work applying this technique to study the functional diversity of the intestinal microbiota, and discuss how an approach combining high-throughput sequencing, cultivation, and metagenomic functional screens can improve our understanding of interactions between this complex community and its human host.

Indexed as

antibiotic resistomefunctional metagenomicshuman intestinal microbiota

Identifiers

PMID22022321
PMCPMC3195301

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.