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Large-scale differences in microbial biodiversity discovery between 16S amplicon and shotgun sequencing
Modern metagenomic environmental DNA studies are almost completely reliant on next-generation sequencing, making evaluations of these methods critical. We compare two next-generation sequencing techniques – amplicon and shotgun – on water samples across four of Brazil’s major river floodplain system...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537354/ https://www.ncbi.nlm.nih.gov/pubmed/28761145 http://dx.doi.org/10.1038/s41598-017-06665-3 |
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author | Tessler, Michael Neumann, Johannes S. Afshinnekoo, Ebrahim Pineda, Michael Hersch, Rebecca Velho, Luiz Felipe M. Segovia, Bianca T. Lansac-Toha, Fabio A. Lemke, Michael DeSalle, Rob Mason, Christopher E. Brugler, Mercer R. |
author_facet | Tessler, Michael Neumann, Johannes S. Afshinnekoo, Ebrahim Pineda, Michael Hersch, Rebecca Velho, Luiz Felipe M. Segovia, Bianca T. Lansac-Toha, Fabio A. Lemke, Michael DeSalle, Rob Mason, Christopher E. Brugler, Mercer R. |
author_sort | Tessler, Michael |
collection | PubMed |
description | Modern metagenomic environmental DNA studies are almost completely reliant on next-generation sequencing, making evaluations of these methods critical. We compare two next-generation sequencing techniques – amplicon and shotgun – on water samples across four of Brazil’s major river floodplain systems (Amazon, Araguaia, Paraná, and Pantanal). Less than 50% of phyla identified via amplicon sequencing were recovered from shotgun sequencing, clearly challenging the dogma that mid-depth shotgun recovers more diversity than amplicon-based approaches. Amplicon sequencing also revealed ~27% more families. Overall the amplicon data were more robust across both biodiversity and community ecology analyses at different taxonomic scales. Our work doubles the sampling size in similar environmental studies, and novelly integrates environmental data (e.g., pH, temperature, nutrients) from each site, revealing divergent correlations depending on which data are used. While myriad variants on NGS techniques and bioinformatic pipelines are available, our results point to core differences that have not been highlighted in any studies to date. Given the low number of taxa identified when coupling shotgun data with clade-based taxonomic algorithms, previous studies that quantified biodiversity using such bioinformatic tools should be viewed cautiously or re-analyzed. Nonetheless, shotgun has complementary advantages that should be weighed when designing projects. |
format | Online Article Text |
id | pubmed-5537354 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55373542017-08-03 Large-scale differences in microbial biodiversity discovery between 16S amplicon and shotgun sequencing Tessler, Michael Neumann, Johannes S. Afshinnekoo, Ebrahim Pineda, Michael Hersch, Rebecca Velho, Luiz Felipe M. Segovia, Bianca T. Lansac-Toha, Fabio A. Lemke, Michael DeSalle, Rob Mason, Christopher E. Brugler, Mercer R. Sci Rep Article Modern metagenomic environmental DNA studies are almost completely reliant on next-generation sequencing, making evaluations of these methods critical. We compare two next-generation sequencing techniques – amplicon and shotgun – on water samples across four of Brazil’s major river floodplain systems (Amazon, Araguaia, Paraná, and Pantanal). Less than 50% of phyla identified via amplicon sequencing were recovered from shotgun sequencing, clearly challenging the dogma that mid-depth shotgun recovers more diversity than amplicon-based approaches. Amplicon sequencing also revealed ~27% more families. Overall the amplicon data were more robust across both biodiversity and community ecology analyses at different taxonomic scales. Our work doubles the sampling size in similar environmental studies, and novelly integrates environmental data (e.g., pH, temperature, nutrients) from each site, revealing divergent correlations depending on which data are used. While myriad variants on NGS techniques and bioinformatic pipelines are available, our results point to core differences that have not been highlighted in any studies to date. Given the low number of taxa identified when coupling shotgun data with clade-based taxonomic algorithms, previous studies that quantified biodiversity using such bioinformatic tools should be viewed cautiously or re-analyzed. Nonetheless, shotgun has complementary advantages that should be weighed when designing projects. Nature Publishing Group UK 2017-07-31 /pmc/articles/PMC5537354/ /pubmed/28761145 http://dx.doi.org/10.1038/s41598-017-06665-3 Text en © The Author(s) 2017 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/. |
spellingShingle | Article Tessler, Michael Neumann, Johannes S. Afshinnekoo, Ebrahim Pineda, Michael Hersch, Rebecca Velho, Luiz Felipe M. Segovia, Bianca T. Lansac-Toha, Fabio A. Lemke, Michael DeSalle, Rob Mason, Christopher E. Brugler, Mercer R. Large-scale differences in microbial biodiversity discovery between 16S amplicon and shotgun sequencing |
title | Large-scale differences in microbial biodiversity discovery between 16S amplicon and shotgun sequencing |
title_full | Large-scale differences in microbial biodiversity discovery between 16S amplicon and shotgun sequencing |
title_fullStr | Large-scale differences in microbial biodiversity discovery between 16S amplicon and shotgun sequencing |
title_full_unstemmed | Large-scale differences in microbial biodiversity discovery between 16S amplicon and shotgun sequencing |
title_short | Large-scale differences in microbial biodiversity discovery between 16S amplicon and shotgun sequencing |
title_sort | large-scale differences in microbial biodiversity discovery between 16s amplicon and shotgun sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537354/ https://www.ncbi.nlm.nih.gov/pubmed/28761145 http://dx.doi.org/10.1038/s41598-017-06665-3 |
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