Evidence map›Paper›PMID 21829462›Full record

ArticlePloS one2011

The active human gut microbiota differs from the total microbiota.

Francesc Peris-Bondia, Amparo Latorre, Alejandro Artacho, Andrés Moya, Giuseppe D'Auria

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Article
  2. Duodenal microbiota profiling and its effects on gastrointestinal tract dysfunction.Frontiers in cellular and infection microbiology · 2026
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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

5 authors.

Francesc Peris-BondiaJoint Unit of Research in Genomics and Health, Centre for Public Health Research (CSISP)-Cavanilles Institute for Biodiversity and Evolutionary Biology (University of Valencia), Valencia, Spain.
Amparo Latorre
Alejandro Artacho
Andrés Moya
Giuseppe D'Auria

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human gut microbiota is considered one of the most fascinating reservoirs of microbial diversity hosting between 400 to 1000 bacterial species distributed among nine phyla with Firmicutes, Bacteroidetes and Actinobacteria representing around 75% of the diversity. One of the most intriguing issues relates to understanding which microbial groups are active players in the maintenance of the microbiota homeostasis.Here, we describe the diversity of active microbial fractions compared with the whole community from raw human fecal samples. We studied four healthy volunteers by 16S rDNA gene pyrosequencing. The fractions were obtained by cell sorting based on bacterial RNA concentration. Bacterial families were observed to appear or disappear on applying a cell sorting method in which flow cytometry was used to evaluate the active cells by pyronin-Y staining of RNA. This method was able to detect active bacteria, indicating that the active players differed from that observed in raw fecal material. Generally, observations showed that in the active fractions, the number of reads related to Bacteroidetes decreased whereas several families from Clostridiales (Firmicutes) were more highly represented. Moreover, a huge number of families appeared as part of the active fraction when cell sorting was applied, indicating reads that are simply statistically hidden by the total reads.

Indexed as

Bacterial Typing TechniquesBiodiversityAdultBacteriaFecesFlow CytometryGastrointestinal TractHumansIn Situ Hybridization, FluorescenceMetagenomePolymerase Chain ReactionRNA, BacterialRNA, Ribosomal, 16SSensitivity and SpecificitySequence Analysis, DNARNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID21829462
PMCPMC3145646

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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.