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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...

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Autores principales: Yu, Feiqiao Brian, Blainey, Paul C, Schulz, Frederik, Woyke, Tanja, Horowitz, Mark A, Quake, Stephen R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
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
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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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