Evidence map›Paper›PMID 26544955›Full record

ArticlePloS one2015

The Characterization of Novel Tissue Microbiota Using an Optimized 16S Metagenomic Sequencing Pipeline.

Jérôme Lluch, Florence Servant, Sandrine Païssé, Carine Valle, Sophie Valière, Claire Kuchly, Gaëlle Vilchez, Cécile Donnadieu, Michael Courtney, Rémy Burcelin and 3 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing 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

96 citing papers in PubMed.

  1. Trial
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  6. Periodontitis in Patients With Severe Obesity: From the Oral and Gut Microbiota Dysregulation to the Visceral Adipose Tissue Inflammatory and Metabolic Disorders.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Visualizing metagenomic and metatranscriptomic data: A comprehensive review.Computational and structural biotechnology journal · 2024
    Review
  11. Effect of SinetrolNutrition & metabolism · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

36 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

13 authors.

Jérôme LluchVaiomer SAS, Labège, France.
Florence ServantVaiomer SAS, Labège, France.
Sandrine PaïsséVaiomer SAS, Labège, France.
Carine ValleVaiomer SAS, Labège, France.
Sophie ValièreINRA, GeT-PlaGe, Genotoul, Castanet-Tolosan, France.
Claire KuchlyINRA, GeT-PlaGe, Genotoul, Castanet-Tolosan, France.
Gaëlle VilchezINRA, GeT-PlaGe, Genotoul, Castanet-Tolosan, France.
Cécile DonnadieuINRA, GeT-PlaGe, Genotoul, Castanet-Tolosan, France.
Michael CourtneyVaiomer SAS, Labège, France.
Rémy BurcelinINSERM U1048, I2MC, Toulouse, France.
Jacques AmarINSERM U1048, I2MC, Toulouse, France.
Olivier BouchezINRA, GeT-PlaGe, Genotoul, Castanet-Tolosan, France.
Benjamin LelouvierVaiomer SAS, Labège, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSubstantial progress in high-throughput metagenomic sequencing methodologies has enabled the characterisation of bacteria from various origins (for example gut and skin). However, the recently-discovered bacterial microbiota present within animal internal tissues has remained unexplored due to technical difficulties associated with these challenging samples.

resultsWe have optimized a specific 16S rDNA-targeted metagenomics sequencing (16S metabarcoding) pipeline based on the Illumina MiSeq technology for the analysis of bacterial DNA in human and animal tissues. This was successfully achieved in various mouse tissues despite the high abundance of eukaryotic DNA and PCR inhibitors in these samples. We extensively tested this pipeline on mock communities, negative controls, positive controls and tissues and demonstrated the presence of novel tissue specific bacterial DNA profiles in a variety of organs (including brain, muscle, adipose tissue, liver and heart).

conclusionThe high throughput and excellent reproducibility of the method ensured exhaustive and precise coverage of the 16S rDNA bacterial variants present in mouse tissues. This optimized 16S metagenomic sequencing pipeline will allow the scientific community to catalogue the bacterial DNA profiles of different tissues and will provide a database to analyse host/bacterial interactions in relation to homeostasis and disease.

Indexed as

MetagenomicsAnimalsAnimal StructuresComputational BiologyHigh-Throughput Nucleotide SequencingHumansMiceMice, Inbred C57BLMicrobiotaRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S

Identifiers

PMID26544955
PMCPMC4636327

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LicenceCC BY
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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.