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Genome Res. 2016 Nov;26(11):1612-1625. Epub 2016 Oct 18.

An integrated metagenomics pipeline for strain profiling reveals novel patterns of bacterial transmission and biogeography.

Author information

1
Integrative Program in Quantitative Biology, University of California, San Francisco, San Francisco, California 94158, USA.
2
Gladstone Institutes, San Francisco, California 94158, USA.
3
Institute for Human Genetics, Institute for Computational Health Sciences, and Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California 94158, USA.

Abstract

We present the Metagenomic Intra-species Diversity Analysis System (MIDAS), which is an integrated computational pipeline for quantifying bacterial species abundance and strain-level genomic variation, including gene content and single-nucleotide polymorphisms (SNPs), from shotgun metagenomes. Our method leverages a database of more than 30,000 bacterial reference genomes that we clustered into species groups. These cover the majority of abundant species in the human microbiome but only a small proportion of microbes in other environments, including soil and seawater. We applied MIDAS to stool metagenomes from 98 Swedish mothers and their infants over one year and used rare SNPs to track strains between hosts. Using this approach, we found that although species compositions of mothers and infants converged over time, strain-level similarity diverged. Specifically, early colonizing bacteria were often transmitted from an infant's mother, while late colonizing bacteria were often transmitted from other sources in the environment and were enriched for spore-formation genes. We also applied MIDAS to 198 globally distributed marine metagenomes and used gene content to show that many prevalent bacterial species have population structure that correlates with geographic location. Strain-level genetic variants present in metagenomes clearly reveal extensive structure and dynamics that are obscured when data are analyzed at a coarser taxonomic resolution.

PMID:
27803195
PMCID:
PMC5088602
DOI:
10.1101/gr.201863.115
[Indexed for MEDLINE]
Free PMC Article

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