1. BugBase predicts organism-level microbiome phenotypes
- Author
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Tonya Ward, Jake Larson, Jeremy Meulemans, Ben Hillmann, Joshua Lynch, Dimitri Sidiropoulos, John R. Spear, Greg Caporaso, Ran Blekhman, Rob Knight, Ryan Fink, and Dan Knights
- Subjects
Genetics ,0303 health sciences ,030306 microbiology ,Sequencing data ,Shotgun ,Biology ,Marker gene ,Phenotype ,03 medical and health sciences ,Amplicon sequencing ,Microbiome ,Shotgun metagenomics ,Organism ,030304 developmental biology - Abstract
Shotgun metagenomics and marker gene amplicon sequencing can be used to directly measure or predict the functional repertoire of the microbiota en masse, but current methods do not readily estimate the functional capability of individual microorganisms. Here we present BugBase, an algorithm that predicts organism-level coverage of functional pathways as well as biologically interpretable phenotypes such as oxygen tolerance, Gram staining and pathogenic potential, within complex microbiomes using either whole-genome shotgun or marker gene sequencing data. We find BugBase’s organism-level pathway coverage predictions to be statistically higher powered than current ‘bag-of-genes’ approaches for discerning functional changes in both host-associated and environmental microbiomes.
- Published
- 2017
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