Massively parallel sequencing of single cells by epicPCR links functional genes with phylogenetic markers

被引:156
作者
Spencer, Sarah J. [1 ]
Tamminen, Manu V. [2 ,3 ]
Preheim, Sarah P. [2 ]
Guo, Mira T. [4 ]
Briggs, Adrian W. [5 ]
Brito, Ilana L. [2 ]
Weitz, David A. [4 ,5 ]
Pitkanen, Leena K. [3 ]
Vigneault, Francois [6 ]
Virta, Marko P. Juhani [3 ]
Alm, Eric J. [1 ,2 ,7 ,8 ,9 ]
机构
[1] MIT, Computat & Syst Biol, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[2] MIT, Dept Biol Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[3] Univ Helsinki, Dept Food & Environm Sci, POB 56, FIN-00014 Helsinki, Finland
[4] Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 USA
[5] Harvard Univ, Dept Phys, Cambridge, MA 02138 USA
[6] AbVitro Inc, Boston, MA USA
[7] MIT, Dept Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[8] MIT, Ctr Microbiome Informat & Therapeut, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[9] Broad Inst MIT & Harvard, Cambridge, MA USA
基金
芬兰科学院;
关键词
PCR; BACTERIA; ALIGNMENT; DATABASE; SEARCH; FUSION; GENOME; TREES;
D O I
10.1038/ismej.2015.124
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
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.
引用
收藏
页码:427 / 436
页数:10
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