Microbiome Profiling by Illumina Sequencing of Combinatorial Sequence-Tagged PCR Products

被引:228
作者
Gloor, Gregory B. [1 ]
Hummelen, Ruben [2 ,3 ]
Macklaim, Jean M. [1 ,2 ]
Dickson, Russell J. [1 ]
Fernandes, Andrew D. [1 ,4 ]
MacPhee, Roderick [2 ,5 ]
Reid, Gregor [1 ,2 ,5 ,6 ]
机构
[1] Univ Western Ontario, Dept Biochem, London, ON, Canada
[2] Lawson Hlth Res Inst, Canadian Res & Dev Ctr Probiot, London, ON, Canada
[3] Univ Med Ctr Rotterdam, Erasmus MC, Dept Publ Hlth, Rotterdam, Netherlands
[4] Univ Western Ontario, Dept Appl Math, London, ON N6A 5B9, Canada
[5] Univ Western Ontario, Dept Microbiol & Immunol, London, ON, Canada
[6] Univ Western Ontario, Dept Surg, London, ON N6A 3K7, Canada
来源
PLOS ONE | 2010年 / 5卷 / 10期
基金
加拿大自然科学与工程研究理事会;
关键词
NONPARAMETRIC-ESTIMATION; NEW-GENERATION; DIVERSITY; TOOLS; SOFTWARE; DESIGN; NUMBER; BLAST;
D O I
10.1371/journal.pone.0015406
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
We developed a low-cost, high-throughput microbiome profiling method that uses combinatorial sequence tags attached to PCR primers that amplify the rRNA V6 region. Amplified PCR products are sequenced using an Illumina paired-end protocol to generate millions of overlapping reads. Combinatorial sequence tagging can be used to examine hundreds of samples with far fewer primers than is required when sequence tags are incorporated at only a single end. The number of reads generated permitted saturating or near-saturating analysis of samples of the vaginal microbiome. The large number of reads allowed an in-depth analysis of errors, and we found that PCR-induced errors composed the vast majority of non-organism derived species variants, an observation that has significant implications for sequence clustering of similar high-throughput data. We show that the short reads are sufficient to assign organisms to the genus or species level in most cases. We suggest that this method will be useful for the deep sequencing of any short nucleotide region that is taxonomically informative; these include the V3, V5 regions of the bacterial 16S rRNA genes and the eukaryotic V9 region that is gaining popularity for sampling protist diversity.
引用
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页数:15
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