dc.contributor.author | Yu, Feiqiao Brian | |
dc.contributor.author | Schulz, Frederik | |
dc.contributor.author | Woyke, Tanja | |
dc.contributor.author | Horowitz, Mark A | |
dc.contributor.author | Quake, Stephen R | |
dc.contributor.author | Blainey, Paul C | |
dc.date.accessioned | 2018-02-14T14:08:58Z | |
dc.date.available | 2018-02-14T14:08:58Z | |
dc.date.issued | 2017-07 | |
dc.date.submitted | 2017-03 | |
dc.identifier.issn | 2050-084X | |
dc.identifier.uri | http://hdl.handle.net/1721.1/113647 | |
dc.description.abstract | 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. | en_US |
dc.publisher | eLife Sciences Publications, Ltd | en_US |
dc.relation.isversionof | http://dx.doi.org/10.7554/ELIFE.26580 | en_US |
dc.rights | Creative Commons Attribution 4.0 International License | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | eLife | en_US |
dc.title | Microfluidic-based mini-metagenomics enables discovery of novel microbial lineages from complex environmental samples | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Yu, Feiqiao Brian et al. “Microfluidic-Based Mini-Metagenomics Enables Discovery of Novel Microbial Lineages from Complex Environmental Samples.” eLife 6 (July 2017): e26580 © 2017 Yu et al | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
dc.contributor.mitauthor | Blainey, Paul C | |
dc.relation.journal | eLife | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2018-02-14T13:59:03Z | |
dspace.orderedauthors | Yu, Feiqiao Brian; Blainey, Paul C; Schulz, Frederik; Woyke, Tanja; Horowitz, Mark A; Quake, Stephen R | en_US |
dspace.embargo.terms | N | en_US |
dc.identifier.orcid | https://orcid.org/0000-0001-7014-3830 | |
mit.license | PUBLISHER_CC | en_US |