Metabolic reconstruction for metagenomic data and its application to the human microbiome

PLoS Computational Biology
Sahar AbubuckerCurtis Huttenhower

Abstract

Microbial communities carry out the majority of the biochemical activity on the planet, and they play integral roles in processes including metabolism and immune homeostasis in the human microbiome. Shotgun sequencing of such communities' metagenomes provides information complementary to organismal abundances from taxonomic markers, but the resulting data typically comprise short reads from hundreds of different organisms and are at best challenging to assemble comparably to single-organism genomes. Here, we describe an alternative approach to infer the functional and metabolic potential of a microbial community metagenome. We determined the gene families and pathways present or absent within a community, as well as their relative abundances, directly from short sequence reads. We validated this methodology using a collection of synthetic metagenomes, recovering the presence and abundance both of large pathways and of small functional modules with high accuracy. We subsequently applied this method, HUMAnN, to the microbial communities of 649 metagenomes drawn from seven primary body sites on 102 individuals as part of the Human Microbiome Project (HMP). This provided a means to compare functional diversity and organismal ecolog...Continue Reading

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Methods Mentioned

BETA
phosphotransferase

Related Concepts

Gastrointestinal System
Genes, Reiterated
Science of Microbial Genetics
Glycosaminoglycans
Hydrogen-Ion Concentration
Vagina
Computational Molecular Biology
Metabolic Networks and Pathways
Metagenome
Metabolome

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