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The characterization of bacterial communities using DNA sequencing has revolutionized our ability to study microbes in nature and discover the ways in which microbial communities affect ecosystem functioning and human health. Here we describe Serial Illumina Sequencing (SI-Seq): a method for deep sequencing of the bacterial 16S rRNA gene using next-generation sequencing technology. SI-Seq serially sequences portions of the V5, V6 and V7 hypervariable regions from barcoded 16S rRNA amplicons using an Illumina short-read genome analyzer. SI-Seq obtains taxonomic resolution similar to 454 pyrosequencing for a fraction of the cost, and can produce hundreds of thousands of reads per sample even with very high multiplexing. We validated SI-Seq using single species and mock community controls, and via a comparison to cystic fibrosis lung microbiota sequenced using 454 FLX Titanium. Our control runs show that SI-Seq has a dynamic range of at least five orders of magnitude, can classify >96% of sequences to the genus level, and performs just as well as 454 and paired-end Illumina methods in estimation of standard microbial ecology diversity measurements. We illustrate the utility of SI-Seq in a pilot sample of central airway secretion samples from cystic fibrosis patients.

Original publication

DOI

10.1371/journal.pone.0045791

Type

Journal article

Journal

PloS one

Publication Date

01/2012

Volume

7

Addresses

Department of Cell and Systems Biology, University of Toronto, Toronto, Ontario, Canada. heather.maughan@utoronto.ca

Keywords

Lung, Sputum, Humans, Bacteria, Cystic Fibrosis, DNA, Bacterial, RNA, Ribosomal, 16S, Polymerase Chain Reaction, Sequence Analysis, DNA, Phylogeny, Computer Simulation, Genetic Variation, Metagenome