Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.

TitleGlobal patterns of 16S rRNA diversity at a depth of millions of sequences per sample.
Publication TypeJournal Article
Year of Publication2011
AuthorsJ Caporaso, G, Lauber, CL, Walters, WA, Berg-Lyons, D, Lozupone, CA, Turnbaugh, PJ, Fierer, N, Knight, R
JournalProc Natl Acad Sci U S A
Volume108 Suppl 1
Date Published2011 Mar 15
KeywordsBacteria, Cluster Analysis, DNA Barcoding, Taxonomic, Environment, Genetic Variation, High-Throughput Nucleotide Sequencing, Reproducibility of Results, RNA, Ribosomal, 16S, Sequence Analysis, DNA, Software, Species Specificity

The ongoing revolution in high-throughput sequencing continues to democratize the ability of small groups of investigators to map the microbial component of the biosphere. In particular, the coevolution of new sequencing platforms and new software tools allows data acquisition and analysis on an unprecedented scale. Here we report the next stage in this coevolutionary arms race, using the Illumina GAIIx platform to sequence a diverse array of 25 environmental samples and three known "mock communities" at a depth averaging 3.1 million reads per sample. We demonstrate excellent consistency in taxonomic recovery and recapture diversity patterns that were previously reported on the basis of metaanalysis of many studies from the literature (notably, the saline/nonsaline split in environmental samples and the split between host-associated and free-living communities). We also demonstrate that 2,000 Illumina single-end reads are sufficient to recapture the same relationships among samples that we observe with the full dataset. The results thus open up the possibility of conducting large-scale studies analyzing thousands of samples simultaneously to survey microbial communities at an unprecedented spatial and temporal resolution.

Alternate JournalProc. Natl. Acad. Sci. U.S.A.
PubMed ID20534432
PubMed Central IDPMC3063599
Grant List / / Howard Hughes Medical Institute / United States