生物
大规模并行测序
系统发育树
基因
计算生物学
系统发育学
遗传学
巨量平行
基因组
进化生物学
DNA测序
单细胞测序
作者
Sarah J. Spencer,Manu Tamminen,Sarah P. Preheim,Mira Guo,Adrian W. Briggs,Ilana L. Brito,David A. Weitz,Leena Pitkänen,Francois Vigneault,Marko Virta,Eric J. Alm
出处
期刊:The ISME Journal
[Springer Nature]
日期:2016-02-01
卷期号:10 (2): 427-436
被引量:157
标识
DOI:10.1038/ismej.2015.124
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.
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