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Novel micelle PCR-based method for accurate, sensitive and quantitative microbiota profiling
In the last decade, many researchers have embraced 16S rRNA gene sequencing techniques, which has led to a wealth of publications and documented differences in the composition of microbial communities derived from many different ecosystems. However, comparison between different microbiota studies is...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381217/ https://www.ncbi.nlm.nih.gov/pubmed/28378789 http://dx.doi.org/10.1038/srep45536 |
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author | Boers, Stefan A. Hays, John P. Jansen, Ruud |
author_facet | Boers, Stefan A. Hays, John P. Jansen, Ruud |
author_sort | Boers, Stefan A. |
collection | PubMed |
description | In the last decade, many researchers have embraced 16S rRNA gene sequencing techniques, which has led to a wealth of publications and documented differences in the composition of microbial communities derived from many different ecosystems. However, comparison between different microbiota studies is currently very difficult due to the lack of a standardized 16S rRNA gene sequencing protocol. Here we report on a novel approach employing micelle PCR (micPCR) in combination with an internal calibrator that allows for standardization of microbiota profiles via their absolute abundances. The addition of an internal calibrator allows the researcher to express the resulting operational taxonomic units (OTUs) as a measure of 16S rRNA gene copies by correcting the number of sequences of each individual OTU in a sample for efficiency differences in the NGS process. Additionally, accurate quantification of OTUs obtained from negative extraction control samples allows for the subtraction of contaminating bacterial DNA derived from the laboratory environment or chemicals/reagents used. Using equimolar synthetic microbial community samples and low biomass clinical samples, we demonstrate that the calibrated micPCR/NGS methodology possess a much higher precision and a lower limit of detection compared with traditional PCR/NGS, resulting in more accurate microbiota profiles suitable for multi-study comparison. |
format | Online Article Text |
id | pubmed-5381217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53812172017-04-10 Novel micelle PCR-based method for accurate, sensitive and quantitative microbiota profiling Boers, Stefan A. Hays, John P. Jansen, Ruud Sci Rep Article In the last decade, many researchers have embraced 16S rRNA gene sequencing techniques, which has led to a wealth of publications and documented differences in the composition of microbial communities derived from many different ecosystems. However, comparison between different microbiota studies is currently very difficult due to the lack of a standardized 16S rRNA gene sequencing protocol. Here we report on a novel approach employing micelle PCR (micPCR) in combination with an internal calibrator that allows for standardization of microbiota profiles via their absolute abundances. The addition of an internal calibrator allows the researcher to express the resulting operational taxonomic units (OTUs) as a measure of 16S rRNA gene copies by correcting the number of sequences of each individual OTU in a sample for efficiency differences in the NGS process. Additionally, accurate quantification of OTUs obtained from negative extraction control samples allows for the subtraction of contaminating bacterial DNA derived from the laboratory environment or chemicals/reagents used. Using equimolar synthetic microbial community samples and low biomass clinical samples, we demonstrate that the calibrated micPCR/NGS methodology possess a much higher precision and a lower limit of detection compared with traditional PCR/NGS, resulting in more accurate microbiota profiles suitable for multi-study comparison. Nature Publishing Group 2017-04-05 /pmc/articles/PMC5381217/ /pubmed/28378789 http://dx.doi.org/10.1038/srep45536 Text en Copyright © 2017, The Author(s) 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 Boers, Stefan A. Hays, John P. Jansen, Ruud Novel micelle PCR-based method for accurate, sensitive and quantitative microbiota profiling |
title | Novel micelle PCR-based method for accurate, sensitive and quantitative microbiota profiling |
title_full | Novel micelle PCR-based method for accurate, sensitive and quantitative microbiota profiling |
title_fullStr | Novel micelle PCR-based method for accurate, sensitive and quantitative microbiota profiling |
title_full_unstemmed | Novel micelle PCR-based method for accurate, sensitive and quantitative microbiota profiling |
title_short | Novel micelle PCR-based method for accurate, sensitive and quantitative microbiota profiling |
title_sort | novel micelle pcr-based method for accurate, sensitive and quantitative microbiota profiling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5381217/ https://www.ncbi.nlm.nih.gov/pubmed/28378789 http://dx.doi.org/10.1038/srep45536 |
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