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

<h4>Background</h4>Substantial 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 r...

Full description

Bibliographic Details
Main Authors: Jérôme Lluch, Florence Servant, Sandrine Païssé, Carine Valle, Sophie Valière, Claire Kuchly, Gaëlle Vilchez, Cécile Donnadieu, Michael Courtney, Rémy Burcelin, Jacques Amar, Olivier Bouchez, Benjamin Lelouvier
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0142334
_version_ 1818589790579195904
author Jérôme Lluch
Florence Servant
Sandrine Païssé
Carine Valle
Sophie Valière
Claire Kuchly
Gaëlle Vilchez
Cécile Donnadieu
Michael Courtney
Rémy Burcelin
Jacques Amar
Olivier Bouchez
Benjamin Lelouvier
author_facet Jérôme Lluch
Florence Servant
Sandrine Païssé
Carine Valle
Sophie Valière
Claire Kuchly
Gaëlle Vilchez
Cécile Donnadieu
Michael Courtney
Rémy Burcelin
Jacques Amar
Olivier Bouchez
Benjamin Lelouvier
author_sort Jérôme Lluch
collection DOAJ
description <h4>Background</h4>Substantial 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.<h4>Results</h4>We 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).<h4>Conclusion</h4>The 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.
first_indexed 2024-12-16T09:46:15Z
format Article
id doaj.art-3711211887bd4729b1d03fcf5255e919
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-12-16T09:46:15Z
publishDate 2015-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-3711211887bd4729b1d03fcf5255e9192022-12-21T22:36:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011011e014233410.1371/journal.pone.0142334The Characterization of Novel Tissue Microbiota Using an Optimized 16S Metagenomic Sequencing Pipeline.Jérôme LluchFlorence ServantSandrine PaïsséCarine ValleSophie ValièreClaire KuchlyGaëlle VilchezCécile DonnadieuMichael CourtneyRémy BurcelinJacques AmarOlivier BouchezBenjamin Lelouvier<h4>Background</h4>Substantial 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.<h4>Results</h4>We 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).<h4>Conclusion</h4>The 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.https://doi.org/10.1371/journal.pone.0142334
spellingShingle Jérôme Lluch
Florence Servant
Sandrine Païssé
Carine Valle
Sophie Valière
Claire Kuchly
Gaëlle Vilchez
Cécile Donnadieu
Michael Courtney
Rémy Burcelin
Jacques Amar
Olivier Bouchez
Benjamin Lelouvier
The Characterization of Novel Tissue Microbiota Using an Optimized 16S Metagenomic Sequencing Pipeline.
PLoS ONE
title The Characterization of Novel Tissue Microbiota Using an Optimized 16S Metagenomic Sequencing Pipeline.
title_full The Characterization of Novel Tissue Microbiota Using an Optimized 16S Metagenomic Sequencing Pipeline.
title_fullStr The Characterization of Novel Tissue Microbiota Using an Optimized 16S Metagenomic Sequencing Pipeline.
title_full_unstemmed The Characterization of Novel Tissue Microbiota Using an Optimized 16S Metagenomic Sequencing Pipeline.
title_short The Characterization of Novel Tissue Microbiota Using an Optimized 16S Metagenomic Sequencing Pipeline.
title_sort characterization of novel tissue microbiota using an optimized 16s metagenomic sequencing pipeline
url https://doi.org/10.1371/journal.pone.0142334
work_keys_str_mv AT jeromelluch thecharacterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT florenceservant thecharacterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT sandrinepaisse thecharacterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT carinevalle thecharacterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT sophievaliere thecharacterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT clairekuchly thecharacterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT gaellevilchez thecharacterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT ceciledonnadieu thecharacterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT michaelcourtney thecharacterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT remyburcelin thecharacterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT jacquesamar thecharacterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT olivierbouchez thecharacterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT benjaminlelouvier thecharacterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT jeromelluch characterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT florenceservant characterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT sandrinepaisse characterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT carinevalle characterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT sophievaliere characterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT clairekuchly characterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT gaellevilchez characterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT ceciledonnadieu characterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT michaelcourtney characterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT remyburcelin characterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT jacquesamar characterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT olivierbouchez characterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline
AT benjaminlelouvier characterizationofnoveltissuemicrobiotausinganoptimized16smetagenomicsequencingpipeline