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Gut microbiome diversity detected by high-coverage 16S and shotgun sequencing of paired stool and colon sample
The gut microbiome has a fundamental role in human health and disease. However, studying the complex structure and function of the gut microbiome using next generation sequencing is challenging and prone to reproducibility problems. Here, we obtained cross-sectional colon biopsies and faecal samples...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075950/ https://www.ncbi.nlm.nih.gov/pubmed/32179734 http://dx.doi.org/10.1038/s41597-020-0427-5 |
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author | Mas-Lloret, Joan Obón-Santacana, Mireia Ibáñez-Sanz, Gemma Guinó, Elisabet Pato, Miguel L. Rodriguez-Moranta, Francisco Mata, Alfredo García-Rodríguez, Ana Moreno, Victor Pimenoff, Ville Nikolai |
author_facet | Mas-Lloret, Joan Obón-Santacana, Mireia Ibáñez-Sanz, Gemma Guinó, Elisabet Pato, Miguel L. Rodriguez-Moranta, Francisco Mata, Alfredo García-Rodríguez, Ana Moreno, Victor Pimenoff, Ville Nikolai |
author_sort | Mas-Lloret, Joan |
collection | PubMed |
description | The gut microbiome has a fundamental role in human health and disease. However, studying the complex structure and function of the gut microbiome using next generation sequencing is challenging and prone to reproducibility problems. Here, we obtained cross-sectional colon biopsies and faecal samples from nine participants in our COLSCREEN study and sequenced them in high coverage using Illumina pair-end shotgun (for faecal samples) and IonTorrent 16S (for paired feces and colon biopsies) technologies. The metagenomes consisted of between 47 and 92 million reads per sample and the targeted sequencing covered more than 300 k reads per sample across seven hypervariable regions of the 16S gene. Our data is freely available and coupled with code for the presented metagenomic analysis using up-to-date bioinformatics algorithms. These results will add up to the informed insights into designing comprehensive microbiome analysis and also provide data for further testing for unambiguous gut microbiome analysis. |
format | Online Article Text |
id | pubmed-7075950 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70759502020-03-19 Gut microbiome diversity detected by high-coverage 16S and shotgun sequencing of paired stool and colon sample Mas-Lloret, Joan Obón-Santacana, Mireia Ibáñez-Sanz, Gemma Guinó, Elisabet Pato, Miguel L. Rodriguez-Moranta, Francisco Mata, Alfredo García-Rodríguez, Ana Moreno, Victor Pimenoff, Ville Nikolai Sci Data Data Descriptor The gut microbiome has a fundamental role in human health and disease. However, studying the complex structure and function of the gut microbiome using next generation sequencing is challenging and prone to reproducibility problems. Here, we obtained cross-sectional colon biopsies and faecal samples from nine participants in our COLSCREEN study and sequenced them in high coverage using Illumina pair-end shotgun (for faecal samples) and IonTorrent 16S (for paired feces and colon biopsies) technologies. The metagenomes consisted of between 47 and 92 million reads per sample and the targeted sequencing covered more than 300 k reads per sample across seven hypervariable regions of the 16S gene. Our data is freely available and coupled with code for the presented metagenomic analysis using up-to-date bioinformatics algorithms. These results will add up to the informed insights into designing comprehensive microbiome analysis and also provide data for further testing for unambiguous gut microbiome analysis. Nature Publishing Group UK 2020-03-16 /pmc/articles/PMC7075950/ /pubmed/32179734 http://dx.doi.org/10.1038/s41597-020-0427-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Mas-Lloret, Joan Obón-Santacana, Mireia Ibáñez-Sanz, Gemma Guinó, Elisabet Pato, Miguel L. Rodriguez-Moranta, Francisco Mata, Alfredo García-Rodríguez, Ana Moreno, Victor Pimenoff, Ville Nikolai Gut microbiome diversity detected by high-coverage 16S and shotgun sequencing of paired stool and colon sample |
title | Gut microbiome diversity detected by high-coverage 16S and shotgun sequencing of paired stool and colon sample |
title_full | Gut microbiome diversity detected by high-coverage 16S and shotgun sequencing of paired stool and colon sample |
title_fullStr | Gut microbiome diversity detected by high-coverage 16S and shotgun sequencing of paired stool and colon sample |
title_full_unstemmed | Gut microbiome diversity detected by high-coverage 16S and shotgun sequencing of paired stool and colon sample |
title_short | Gut microbiome diversity detected by high-coverage 16S and shotgun sequencing of paired stool and colon sample |
title_sort | gut microbiome diversity detected by high-coverage 16s and shotgun sequencing of paired stool and colon sample |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075950/ https://www.ncbi.nlm.nih.gov/pubmed/32179734 http://dx.doi.org/10.1038/s41597-020-0427-5 |
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