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

BACKGROUND: 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...

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Autores principales: Lluch, Jérôme, Servant, Florence, Païssé, Sandrine, Valle, Carine, Valière, Sophie, Kuchly, Claire, Vilchez, Gaëlle, Donnadieu, Cécile, Courtney, Michael, Burcelin, Rémy, Amar, Jacques, Bouchez, Olivier, Lelouvier, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636327/
https://www.ncbi.nlm.nih.gov/pubmed/26544955
http://dx.doi.org/10.1371/journal.pone.0142334
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author Lluch, Jérôme
Servant, Florence
Païssé, Sandrine
Valle, Carine
Valière, Sophie
Kuchly, Claire
Vilchez, Gaëlle
Donnadieu, Cécile
Courtney, Michael
Burcelin, Rémy
Amar, Jacques
Bouchez, Olivier
Lelouvier, Benjamin
author_facet Lluch, Jérôme
Servant, Florence
Païssé, Sandrine
Valle, Carine
Valière, Sophie
Kuchly, Claire
Vilchez, Gaëlle
Donnadieu, Cécile
Courtney, Michael
Burcelin, Rémy
Amar, Jacques
Bouchez, Olivier
Lelouvier, Benjamin
author_sort Lluch, Jérôme
collection PubMed
description BACKGROUND: 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. RESULTS: 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). CONCLUSION: 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.
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spelling pubmed-46363272015-11-13 The Characterization of Novel Tissue Microbiota Using an Optimized 16S Metagenomic Sequencing Pipeline Lluch, Jérôme Servant, Florence Païssé, Sandrine Valle, Carine Valière, Sophie Kuchly, Claire Vilchez, Gaëlle Donnadieu, Cécile Courtney, Michael Burcelin, Rémy Amar, Jacques Bouchez, Olivier Lelouvier, Benjamin PLoS One Research Article BACKGROUND: 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. RESULTS: 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). CONCLUSION: 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. Public Library of Science 2015-11-06 /pmc/articles/PMC4636327/ /pubmed/26544955 http://dx.doi.org/10.1371/journal.pone.0142334 Text en © 2015 Lluch et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lluch, Jérôme
Servant, Florence
Païssé, Sandrine
Valle, Carine
Valière, Sophie
Kuchly, Claire
Vilchez, Gaëlle
Donnadieu, Cécile
Courtney, Michael
Burcelin, Rémy
Amar, Jacques
Bouchez, Olivier
Lelouvier, Benjamin
The Characterization of Novel Tissue Microbiota Using an Optimized 16S Metagenomic Sequencing Pipeline
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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636327/
https://www.ncbi.nlm.nih.gov/pubmed/26544955
http://dx.doi.org/10.1371/journal.pone.0142334
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