One Bacterial Cell, One Complete Genome

被引:168
作者
Woyke, Tanja [1 ]
Tighe, Damon [1 ]
Mavromatis, Konstantinos [1 ]
Clum, Alicia [1 ]
Copeland, Alex [1 ]
Schackwitz, Wendy [1 ]
Lapidus, Alla [1 ]
Wu, Dongying [1 ]
McCutcheon, John P. [2 ]
McDonald, Bradon R. [2 ]
Moran, Nancy A. [2 ]
Bristow, James [1 ]
Cheng, Jan-Fang [1 ]
机构
[1] Joint Genome Inst, Dept Energy, Walnut Creek, CA USA
[2] Univ Arizona, Dept Ecol & Evolutionary Biol, Tucson, AZ USA
来源
PLOS ONE | 2010年 / 5卷 / 04期
关键词
MULTIPLE DISPLACEMENT AMPLIFICATION; MICROBIAL COMMUNITIES; XYLELLA-FASTIDIOSA; SYMBIONTS; EVOLUTION; HEMIPTERA; METAGENOMICS; CICADELLIDAE; DYNAMICS; INSIGHTS;
D O I
10.1371/journal.pone.0010314
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
While the bulk of the finished microbial genomes sequenced to date are derived from cultured bacterial and archaeal representatives, the vast majority of microorganisms elude current culturing attempts, severely limiting the ability to recover complete or even partial genomes from these environmental species. Single cell genomics is a novel culture-independent approach, which enables access to the genetic material of an individual cell. No single cell genome has to our knowledge been closed and finished to date. Here we report the completed genome from an uncultured single cell of Candidatus Sulcia muelleri DMIN. Digital PCR on single symbiont cells isolated from the bacteriome of the green sharpshooter Draeculacephala minerva bacteriome allowed us to assess that this bacteria is polyploid with genome copies ranging from approximately 200-900 per cell, making it a most suitable target for single cell finishing efforts. For single cell shotgun sequencing, an individual Sulcia cell was isolated and whole genome amplified by multiple displacement amplification (MDA). Sanger-based finishing methods allowed us to close the genome. To verify the correctness of our single cell genome and exclude MDA-derived artifacts, we independently shotgun sequenced and assembled the Sulcia genome from pooled bacteriomes using a metagenomic approach, yielding a nearly identical genome. Four variations we detected appear to be genuine biological differences between the two samples. Comparison of the single cell genome with bacteriome metagenomic sequence data detected two single nucleotide polymorphisms (SNPs), indicating extremely low genetic diversity within a Sulcia population. This study demonstrates the power of single cell genomics to generate a complete, high quality, non-composite reference genome within an environmental sample, which can be used for population genetic analyzes.
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