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Massively parallel sequencing of single cells by epicPCR links functional genes with phylogenetic markers
Many microbial communities are characterized by high genetic diversity. 16S ribosomal RNA sequencing can determine community members, and metagenomics can determine the functional diversity, but resolving the functional role of individual cells in high throughput remains an unsolved challenge. Here,...
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/PMC4737934/ https://www.ncbi.nlm.nih.gov/pubmed/26394010 http://dx.doi.org/10.1038/ismej.2015.124 |
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author | Spencer, Sarah J Tamminen, Manu V Preheim, Sarah P Guo, Mira T Briggs, Adrian W Brito, Ilana L A Weitz, David Pitkänen, Leena K Vigneault, Francois Virta, Marko PJuhani Alm, Eric J |
author_facet | Spencer, Sarah J Tamminen, Manu V Preheim, Sarah P Guo, Mira T Briggs, Adrian W Brito, Ilana L A Weitz, David Pitkänen, Leena K Vigneault, Francois Virta, Marko PJuhani Alm, Eric J |
author_sort | Spencer, Sarah J |
collection | PubMed |
description | Many microbial communities are characterized by high genetic diversity. 16S ribosomal RNA sequencing can determine community members, and metagenomics can determine the functional diversity, but resolving the functional role of individual cells in high throughput remains an unsolved challenge. Here, we describe epicPCR (Emulsion, Paired Isolation and Concatenation PCR), a new technique that links functional genes and phylogenetic markers in uncultured single cells, providing a throughput of hundreds of thousands of cells with costs comparable to one genomic library preparation. We demonstrate the utility of our technique in a natural environment by profiling a sulfate-reducing community in a freshwater lake, revealing both known sulfate reducers and discovering new putative sulfate reducers. Our method is adaptable to any conserved genetic trait and translates genetic associations from diverse microbial samples into a sequencing library that answers targeted ecological questions. Potential applications include identifying functional community members, tracing horizontal gene transfer networks and mapping ecological interactions between microbial cells. |
format | Online Article Text |
id | pubmed-4737934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47379342016-02-19 Massively parallel sequencing of single cells by epicPCR links functional genes with phylogenetic markers Spencer, Sarah J Tamminen, Manu V Preheim, Sarah P Guo, Mira T Briggs, Adrian W Brito, Ilana L A Weitz, David Pitkänen, Leena K Vigneault, Francois Virta, Marko PJuhani Alm, Eric J ISME J Original Article Many microbial communities are characterized by high genetic diversity. 16S ribosomal RNA sequencing can determine community members, and metagenomics can determine the functional diversity, but resolving the functional role of individual cells in high throughput remains an unsolved challenge. Here, we describe epicPCR (Emulsion, Paired Isolation and Concatenation PCR), a new technique that links functional genes and phylogenetic markers in uncultured single cells, providing a throughput of hundreds of thousands of cells with costs comparable to one genomic library preparation. We demonstrate the utility of our technique in a natural environment by profiling a sulfate-reducing community in a freshwater lake, revealing both known sulfate reducers and discovering new putative sulfate reducers. Our method is adaptable to any conserved genetic trait and translates genetic associations from diverse microbial samples into a sequencing library that answers targeted ecological questions. Potential applications include identifying functional community members, tracing horizontal gene transfer networks and mapping ecological interactions between microbial cells. Nature Publishing Group 2016-02 2015-09-22 /pmc/articles/PMC4737934/ /pubmed/26394010 http://dx.doi.org/10.1038/ismej.2015.124 Text en Copyright © 2016 International Society for Microbial Ecology 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 | Original Article Spencer, Sarah J Tamminen, Manu V Preheim, Sarah P Guo, Mira T Briggs, Adrian W Brito, Ilana L A Weitz, David Pitkänen, Leena K Vigneault, Francois Virta, Marko PJuhani Alm, Eric J Massively parallel sequencing of single cells by epicPCR links functional genes with phylogenetic markers |
title | Massively parallel sequencing of single cells by epicPCR links functional genes with phylogenetic markers |
title_full | Massively parallel sequencing of single cells by epicPCR links functional genes with phylogenetic markers |
title_fullStr | Massively parallel sequencing of single cells by epicPCR links functional genes with phylogenetic markers |
title_full_unstemmed | Massively parallel sequencing of single cells by epicPCR links functional genes with phylogenetic markers |
title_short | Massively parallel sequencing of single cells by epicPCR links functional genes with phylogenetic markers |
title_sort | massively parallel sequencing of single cells by epicpcr links functional genes with phylogenetic markers |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4737934/ https://www.ncbi.nlm.nih.gov/pubmed/26394010 http://dx.doi.org/10.1038/ismej.2015.124 |
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