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Microfluidic-based mini-metagenomics enables discovery of novel microbial lineages from complex environmental samples
Metagenomics and single-cell genomics have enabled genome discovery from unknown branches of life. However, extracting novel genomes from complex mixtures of metagenomic data can still be challenging and represents an ill-posed problem which is generally approached with ad hoc methods. Here we prese...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5498146/ https://www.ncbi.nlm.nih.gov/pubmed/28678007 http://dx.doi.org/10.7554/eLife.26580 |
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author | Yu, Feiqiao Brian Blainey, Paul C Schulz, Frederik Woyke, Tanja Horowitz, Mark A Quake, Stephen R |
author_facet | Yu, Feiqiao Brian Blainey, Paul C Schulz, Frederik Woyke, Tanja Horowitz, Mark A Quake, Stephen R |
author_sort | Yu, Feiqiao Brian |
collection | PubMed |
description | Metagenomics and single-cell genomics have enabled genome discovery from unknown branches of life. However, extracting novel genomes from complex mixtures of metagenomic data can still be challenging and represents an ill-posed problem which is generally approached with ad hoc methods. Here we present a microfluidic-based mini-metagenomic method which offers a statistically rigorous approach to extract novel microbial genomes while preserving single-cell resolution. We used this approach to analyze two hot spring samples from Yellowstone National Park and extracted 29 new genomes, including three deeply branching lineages. The single-cell resolution enabled accurate quantification of genome function and abundance, down to 1% in relative abundance. Our analyses of genome level SNP distributions also revealed low to moderate environmental selection. The scale, resolution, and statistical power of microfluidic-based mini-metagenomics make it a powerful tool to dissect the genomic structure of microbial communities while effectively preserving the fundamental unit of biology, the single cell. DOI: http://dx.doi.org/10.7554/eLife.26580.001 |
format | Online Article Text |
id | pubmed-5498146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-54981462017-07-07 Microfluidic-based mini-metagenomics enables discovery of novel microbial lineages from complex environmental samples Yu, Feiqiao Brian Blainey, Paul C Schulz, Frederik Woyke, Tanja Horowitz, Mark A Quake, Stephen R eLife Computational and Systems Biology Metagenomics and single-cell genomics have enabled genome discovery from unknown branches of life. However, extracting novel genomes from complex mixtures of metagenomic data can still be challenging and represents an ill-posed problem which is generally approached with ad hoc methods. Here we present a microfluidic-based mini-metagenomic method which offers a statistically rigorous approach to extract novel microbial genomes while preserving single-cell resolution. We used this approach to analyze two hot spring samples from Yellowstone National Park and extracted 29 new genomes, including three deeply branching lineages. The single-cell resolution enabled accurate quantification of genome function and abundance, down to 1% in relative abundance. Our analyses of genome level SNP distributions also revealed low to moderate environmental selection. The scale, resolution, and statistical power of microfluidic-based mini-metagenomics make it a powerful tool to dissect the genomic structure of microbial communities while effectively preserving the fundamental unit of biology, the single cell. DOI: http://dx.doi.org/10.7554/eLife.26580.001 eLife Sciences Publications, Ltd 2017-07-05 /pmc/articles/PMC5498146/ /pubmed/28678007 http://dx.doi.org/10.7554/eLife.26580 Text en © 2017, Yu et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Yu, Feiqiao Brian Blainey, Paul C Schulz, Frederik Woyke, Tanja Horowitz, Mark A Quake, Stephen R Microfluidic-based mini-metagenomics enables discovery of novel microbial lineages from complex environmental samples |
title | Microfluidic-based mini-metagenomics enables discovery of novel microbial lineages from complex environmental samples |
title_full | Microfluidic-based mini-metagenomics enables discovery of novel microbial lineages from complex environmental samples |
title_fullStr | Microfluidic-based mini-metagenomics enables discovery of novel microbial lineages from complex environmental samples |
title_full_unstemmed | Microfluidic-based mini-metagenomics enables discovery of novel microbial lineages from complex environmental samples |
title_short | Microfluidic-based mini-metagenomics enables discovery of novel microbial lineages from complex environmental samples |
title_sort | microfluidic-based mini-metagenomics enables discovery of novel microbial lineages from complex environmental samples |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5498146/ https://www.ncbi.nlm.nih.gov/pubmed/28678007 http://dx.doi.org/10.7554/eLife.26580 |
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