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Analysis of the mouse gut microbiome using full-length 16S rRNA amplicon sequencing
Demands for faster and more accurate methods to analyze microbial communities from natural and clinical samples have been increasing in the medical and healthcare industry. Recent advances in next-generation sequencing technologies have facilitated the elucidation of the microbial community composit...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944186/ https://www.ncbi.nlm.nih.gov/pubmed/27411898 http://dx.doi.org/10.1038/srep29681 |
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author | Shin, Jongoh Lee, Sooin Go, Min-Jeong Lee, Sang Yup Kim, Sun Chang Lee, Chul-Ho Cho, Byung-Kwan |
author_facet | Shin, Jongoh Lee, Sooin Go, Min-Jeong Lee, Sang Yup Kim, Sun Chang Lee, Chul-Ho Cho, Byung-Kwan |
author_sort | Shin, Jongoh |
collection | PubMed |
description | Demands for faster and more accurate methods to analyze microbial communities from natural and clinical samples have been increasing in the medical and healthcare industry. Recent advances in next-generation sequencing technologies have facilitated the elucidation of the microbial community composition with higher accuracy and greater throughput than was previously achievable; however, the short sequencing reads often limit the microbial composition analysis at the species level due to the high similarity of 16S rRNA amplicon sequences. To overcome this limitation, we used the nanopore sequencing platform to sequence full-length 16S rRNA amplicon libraries prepared from the mouse gut microbiota. A comparison of the nanopore and short-read sequencing data showed that there were no significant differences in major taxonomic units (89%) except one phylotype and three taxonomic units. Moreover, both sequencing data were highly similar at all taxonomic resolutions except the species level. At the species level, nanopore sequencing allowed identification of more species than short-read sequencing, facilitating the accurate classification of the bacterial community composition. Therefore, this method of full-length 16S rRNA amplicon sequencing will be useful for rapid, accurate and efficient detection of microbial diversity in various biological and clinical samples. |
format | Online Article Text |
id | pubmed-4944186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49441862016-07-26 Analysis of the mouse gut microbiome using full-length 16S rRNA amplicon sequencing Shin, Jongoh Lee, Sooin Go, Min-Jeong Lee, Sang Yup Kim, Sun Chang Lee, Chul-Ho Cho, Byung-Kwan Sci Rep Article Demands for faster and more accurate methods to analyze microbial communities from natural and clinical samples have been increasing in the medical and healthcare industry. Recent advances in next-generation sequencing technologies have facilitated the elucidation of the microbial community composition with higher accuracy and greater throughput than was previously achievable; however, the short sequencing reads often limit the microbial composition analysis at the species level due to the high similarity of 16S rRNA amplicon sequences. To overcome this limitation, we used the nanopore sequencing platform to sequence full-length 16S rRNA amplicon libraries prepared from the mouse gut microbiota. A comparison of the nanopore and short-read sequencing data showed that there were no significant differences in major taxonomic units (89%) except one phylotype and three taxonomic units. Moreover, both sequencing data were highly similar at all taxonomic resolutions except the species level. At the species level, nanopore sequencing allowed identification of more species than short-read sequencing, facilitating the accurate classification of the bacterial community composition. Therefore, this method of full-length 16S rRNA amplicon sequencing will be useful for rapid, accurate and efficient detection of microbial diversity in various biological and clinical samples. Nature Publishing Group 2016-07-14 /pmc/articles/PMC4944186/ /pubmed/27411898 http://dx.doi.org/10.1038/srep29681 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Shin, Jongoh Lee, Sooin Go, Min-Jeong Lee, Sang Yup Kim, Sun Chang Lee, Chul-Ho Cho, Byung-Kwan Analysis of the mouse gut microbiome using full-length 16S rRNA amplicon sequencing |
title | Analysis of the mouse gut microbiome using full-length 16S rRNA amplicon sequencing |
title_full | Analysis of the mouse gut microbiome using full-length 16S rRNA amplicon sequencing |
title_fullStr | Analysis of the mouse gut microbiome using full-length 16S rRNA amplicon sequencing |
title_full_unstemmed | Analysis of the mouse gut microbiome using full-length 16S rRNA amplicon sequencing |
title_short | Analysis of the mouse gut microbiome using full-length 16S rRNA amplicon sequencing |
title_sort | analysis of the mouse gut microbiome using full-length 16s rrna amplicon sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944186/ https://www.ncbi.nlm.nih.gov/pubmed/27411898 http://dx.doi.org/10.1038/srep29681 |
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