Metagenomic analysis with strain-level resolution reveals fine-scale variation in the human pregnancy microbiome

• Published in: Genome research Vol. 28; no. 10; pp. 1467 - 1480
• Main Authors: Goltsman, Daniela S. Aliaga, Sun, Christine L., Proctor, Diana M., DiGiulio, Daniel B., Robaczewska, Anna, Thomas, Brian C., Shaw, Gary M., Stevenson, David K., Holmes, Susan P., Banfield, Jillian F., Relman, David A.
• Format: Journal Article
• Language: English
• Published: United States Cold Spring Harbor Laboratory Press 01.10.2018
• Subjects: Bacteria - classification; Bacteria - genetics; BASIC BIOLOGICAL SCIENCES; Community composition; Contig Mapping; CRISPR; Divergence; DNA, Bacterial - genetics; DNA, Ribosomal - genetics; Female; Fetuses; Gastrointestinal Tract - microbiology; Genomes; Gestational age; Humans; Lactobacillus; Longitudinal Studies; Metagenomics - methods; Microbiomes; Phages; Phylogeny; Pregnancy; Pregnancy complications; Pregnancy Outcome; RNA, Ribosomal, 16S - genetics; rRNA 16S; Sequence Analysis, DNA - methods; Vagina; Vagina - microbiology; Variation

Recent studies suggest that the microbiome has an impact on gestational health and outcome. However, characterization of the pregnancy-associated microbiome has largely relied on 16S rRNA gene amplicon-based surveys. Here, we describe an assembly-driven, metagenomics-based, longitudinal study of the...