Abstract

Hospital-acquired infection (HAI) or nosocomial infection is an issue that frequent hospital environment. We believe conventional regulated Petri dish method is insufficient to evaluate HAI. To address this problem, metagenomic sequencing was applied to screen airborne microbes in four rooms of Beijing Hospital. With air-in amount of sampler being setup to one person’s respiration quantity, metagenomic sequencing identified huge numbers of species in the rooms which had already qualified widely accepted petridish exposing standard, imposing urgency for new technology. Meanwhile,the comparative culture only got small portion of recovered species and remain blind for even cultivable pathogens reminded us the limitations of old technologies. To the best of our knowledge, the method demonstrated in this study could be broadly applied in hospital indoor environment for various monitoring activities as well as HAI study. It is also potential as a transmissible pathogen real-time modelling system worldwide.

Highlights

  • Owing to the first coining of the term in 1998[1] and first conducting of high-throughput sequencing in 2006[2], metagenomic has gained tremendous progress over the past decade

  • Two parallel samples under same conditions for each site were separately sent to conventional petridish culture and metagenomic sequencing with Illumina Hiseq 1500

  • This study demonstrates the impact of application of metagenomic technology in hospital indoor air for various monitoring as well as in-depth study

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Summary

Introduction

Owing to the first coining of the term in 1998[1] and first conducting of high-throughput sequencing in 2006[2], metagenomic has gained tremendous progress over the past decade This new technology is in a postion of recovering over 99% of microorganisms which are missing from conventional culture-based techniques[3] and bypassed the need for isolation & laboratory cultivation of individual strains[4]. The procurement of largely unbiased gene samples from all members of detecting communities becomes technically feasible[7]. With recent technical improvements, metagenomics can detect pathogens at very low abundance and even perform directly from clinical samples[8] or single cells[9]

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