Abstract

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.

Keywords

BiologySample (material)Illumina dye sequencingScale (ratio)Consistency (knowledge bases)Evolutionary biologyComputational biologyComputer scienceDNA sequencingCartographyGeneticsGeographyArtificial intelligenceGene

Affiliated Institutions

Related Publications

Publication Info

Year
2010
Type
article
Volume
108
Issue
supplement_1
Pages
4516-4522
Citations
9406
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

9406
OpenAlex

Cite This

J. Gregory Caporaso, Christian L. Lauber, William A. Walters et al. (2010). Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample. Proceedings of the National Academy of Sciences , 108 (supplement_1) , 4516-4522. https://doi.org/10.1073/pnas.1000080107

Identifiers

DOI
10.1073/pnas.1000080107