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Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
The results demonstrate that phylogeny and function are sufficiently linked that this 'predictive metagenomic' approach should provide useful insights into the thousands of uncultivated microbial communities for which only marker gene surveys are currently available.
PyNAST: a flexible tool for aligning sequences to a template alignment
Motivation: The Nearest Alignment Space Termination (NAST) tool is commonly used in sequence-based microbial ecology community analysis, but due to the limited portability of the original
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
QIIME 2 development was primarily funded by NSF Awards 1565100 to J.G.C. and R.K.P. and partial support was also provided by the following: grants NIH U54CA143925 and U54MD012388.
Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms
It is shown that the protocol developed for these instruments successfully recaptures known biological results, and additionally that biological conclusions are consistent across sequencing platforms (the HiSeq2000 versus the MiSeq) and across the sequenced regions of amplicons.
Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing
It is demonstrated that high-quality read length and abundance are the primary factors differentiating correct from erroneous reads produced by Illumina GAIIx, HiSeq and MiSeq instruments.
Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample
This work sequences a diverse array of 25 environmental samples and three known “mock communities” at a depth averaging 3.1 million reads per sample to 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.
Soil bacterial and fungal communities across a pH gradient in an arable soil
Soils collected across a long-term liming experiment were used to investigate the direct influence of pH on the abundance and composition of the two major soil microbial taxa, fungi and bacteria, and both the relative abundance and diversity of bacteria were positively related to pH.
Cross-biome metagenomic analyses of soil microbial communities and their functional attributes
As the most comprehensive survey of soil taxonomic, phylogenetic, and functional diversity to date, this study demonstrates that metagenomic approaches can be used to build a predictive understanding of how microbial diversity and function vary across terrestrial biomes.
Moving pictures of the human microbiome
The largest human microbiota time series analysis to date is presented, covering two individuals at four body sites over 396 timepoints and finds that despite stable differences between body sites and individuals, there is pronounced variability in an individual's microbiota across months, weeks and even days.
Using QIIME to Analyze 16S rRNA Gene Sequences from Microbial Communities
The following protocols describe how to install QIIME on a single computer and use it to analyze microbial 16S sequence data from nine distinct microbial communities.