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

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 unp...

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Veröffentlicht in:Proceedings of the National Academy of Sciences - PNAS 2011-03, Vol.108 (Supplement 1), p.4516-4522
Hauptverfasser: Caporaso, J. Gregory, Lauber, Christian L, Walters, William A, Berg-Lyons, Donna, Lozupone, Catherine A, Turnbaugh, Peter J, Fierer, Noah, Knight, Rob
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container_end_page 4522
container_issue Supplement 1
container_start_page 4516
container_title Proceedings of the National Academy of Sciences - PNAS
container_volume 108
creator Caporaso, J. Gregory
Lauber, Christian L
Walters, William A
Berg-Lyons, Donna
Lozupone, Catherine A
Turnbaugh, Peter J
Fierer, Noah
Knight, Rob
description 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.
doi_str_mv 10.1073/pnas.1000080107
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ispartof Proceedings of the National Academy of Sciences - PNAS, 2011-03, Vol.108 (Supplement 1), p.4516-4522
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source Jstor Complete Legacy; MEDLINE; PubMed Central; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry
subjects Bacteria - classification
Bacteria - genetics
Bacteria - isolation & purification
Biological Sciences
Biosphere
Blasts
Cluster Analysis
coevolution
Colloquium Papers
Community structure
computer software
data collection
Datasets
DNA Barcoding, Taxonomic - methods
Environment
Genetic Variation
high-throughput nucleotide sequencing
High-Throughput Nucleotide Sequencing - methods
microbial communities
Phylogenetics
Polymerase chain reaction
Reproducibility of Results
ribosomal RNA
RNA, Ribosomal, 16S - genetics
Sequence Analysis, DNA - methods
Sequencing
Software
Soil samples
Species diversity
Species Specificity
Sustainable communities
Taxa
title Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample
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