A metagenomic framework for the study of airborne microbial communities

研究空气中微生物群落的宏基因组框架

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作者:Shibu Yooseph, Cynthia Andrews-Pfannkoch, Aaron Tenney, Jeff McQuaid, Shannon Williamson, Mathangi Thiagarajan, Daniel Brami, Lisa Zeigler-Allen, Jeff Hoffman, Johannes B Goll, Douglas Fadrosh, John Glass, Mark D Adams, Robert Friedman, J Craig Venter

Abstract

Understanding the microbial content of the air has important scientific, health, and economic implications. While studies have primarily characterized the taxonomic content of air samples by sequencing the 16S or 18S ribosomal RNA gene, direct analysis of the genomic content of airborne microorganisms has not been possible due to the extremely low density of biological material in airborne environments. We developed sampling and amplification methods to enable adequate DNA recovery to allow metagenomic profiling of air samples collected from indoor and outdoor environments. Air samples were collected from a large urban building, a medical center, a house, and a pier. Analyses of metagenomic data generated from these samples reveal airborne communities with a high degree of diversity and different genera abundance profiles. The identities of many of the taxonomic groups and protein families also allows for the identification of the likely sources of the sampled airborne bacteria.

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