期刊
ENVIRONMENTAL POLLUTION
卷 235, 期 -, 页码 20-29出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2017.12.035
关键词
Airborne bacteria; Microbial diversity; Urban air; High-throughput sequencing; Bioaerosol samplers
资金
- Universidad Nacional Autonoma de Mexico (UNAM) [PAPIIT-IN229016]
- Secretaria de Ciencia y Tecnologia e Inovacion de la Ciudad de Mexico [SECITI/050/2016]
- 'Direccion General de Asuntos de Personal Academico' (DGAPA, UNAM)
The identification of airborne bacteria has traditionally been performed by retrieval in culture media, but the bacterial diversity in the air is underestimated using this method because many bacteria are not readily cultured. Advances in DNA sequencing technology have produced a broad knowledge of genomics and metagenomics, which can greatly improve our ability to identify and study the diversity of airborne bacteria. However, researchers are facing several challenges, particularly the efficient retrieval of low density microorganisms from the air and the lack of standardized protocols for sample collection and processing. In this study, we tested three methods for sampling bioaerosols - a Durham-type spore trap (Durham), a seven-day recording volumetric spore trap (HST), and a high-throughput 'Jet' spore and particle sampler (Jet) - and recovered metagenomic DNA for 16S rDNA sequencing. Samples were simultaneously collected with the three devices during one week, and the sequencing libraries were analyzed. A simple and efficient method for collecting bioaerosols and extracting good quality DNA for high-throughput sequencing was standardized. The Durham sampler collected preferentially Cyanobacteria, the HST Actinobacteria, Proteobacteria and Firmicutes, and the Jet mainly Proteobacteria and Firmicutes. The HST sampler collected the largest amount of airborne bacterial diversity. More experiments are necessary to select the right sampler, depending on study objectives, which may require monitoring and collecting specific airborne bacteria. (C) 2017 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据