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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4636327 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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