Abstract

BackgroundMetagenomics has become a prominent approach for exploring the role of the gut microbiota in human health. However, the temporal variability of the healthy gut microbiome has not yet been studied in depth using metagenomics and little is known about the effects of different sampling and preservation approaches. We performed metagenomic analysis on fecal samples from seven subjects collected over a period of up to two years to investigate temporal variability and assess preservation-induced variation, specifically, fresh frozen compared to RNALater. We also monitored short-term disturbances caused by antibiotic treatment and bowel cleansing in one subject.ResultsWe find that the human gut microbiome is temporally stable and highly personalized at both taxonomic and functional levels. Over multiple time points, samples from the same subject clustered together, even in the context of a large dataset of 888 European and American fecal metagenomes. One exception was observed in an antibiotic intervention case where, more than one year after the treatment, samples did not resemble the pre-treatment state. Clustering was not affected by the preservation method. No species differed significantly in abundance, and only 0.36% of gene families were differentially abundant between preservation methods.ConclusionsTechnical variability is small compared to the temporal variability of an unperturbed gut microbiome, which in turn is much smaller than the observed between-subject variability. Thus, short-term preservation of fecal samples in RNALater is an appropriate and cost-effective alternative to freezing of fecal samples for metagenomic studies.Electronic supplementary materialThe online version of this article (doi:10.1186/s13059-015-0639-8) contains supplementary material, which is available to authorized users.

Highlights

  • Metagenomics has become a prominent approach for exploring the role of the gut microbiota in human health

  • Study design Fecal samples were self-collected from seven adults at short and longer time intervals (Additional file 1)

  • The samples did not cluster by preservation method. These results show that RNALater does not introduce a bias in the overall microbiome composition and its effect is smaller than within-subject variability

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Summary

Introduction

Metagenomics has become a prominent approach for exploring the role of the gut microbiota in human health. To better understand the role of gut microbes in health, major efforts have been undertaken including large-scale studies such as the European Metagenomics of the Human Intestinal Tract (MetaHIT) project and the US American Human Microbiome Project (HMP) [1,2]. These studies have provided insights into the gut microbial community composition in healthy human individuals. The gut microbiome has been described to be constrained around a highly personal and stable composition within each healthy subject over time [8,9,10,11,12]

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