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人类的个人微生物云各不相同。

Humans differ in their personal microbial cloud.

作者信息

Meadow James F, Altrichter Adam E, Bateman Ashley C, Stenson Jason, Brown G Z, Green Jessica L, Bohannan Brendan J M

机构信息

Biology and the Built Environment Center, University of Oregon , Eugene, OR , USA ; Department of Biology, Institute of Ecology and Evolution, University of Oregon , Eugene, OR , USA.

Biology and the Built Environment Center, University of Oregon , Eugene, OR , USA ; Department of Architecture, Energy Studies in Buildings Laboratory, University of Oregon , Eugene, OR , USA.

出版信息

PeerJ. 2015 Sep 22;3:e1258. doi: 10.7717/peerj.1258. eCollection 2015.

Abstract

Dispersal of microbes between humans and the built environment can occur through direct contact with surfaces or through airborne release; the latter mechanism remains poorly understood. Humans emit upwards of 10(6) biological particles per hour, and have long been known to transmit pathogens to other individuals and to indoor surfaces. However it has not previously been demonstrated that humans emit a detectible microbial cloud into surrounding indoor air, nor whether such clouds are sufficiently differentiated to allow the identification of individual occupants. We used high-throughput sequencing of 16S rRNA genes to characterize the airborne bacterial contribution of a single person sitting in a sanitized custom experimental climate chamber. We compared that to air sampled in an adjacent, identical, unoccupied chamber, as well as to supply and exhaust air sources. Additionally, we assessed microbial communities in settled particles surrounding each occupant, to investigate the potential long-term fate of airborne microbial emissions. Most occupants could be clearly detected by their airborne bacterial emissions, as well as their contribution to settled particles, within 1.5-4 h. Bacterial clouds from the occupants were statistically distinct, allowing the identification of some individual occupants. Our results confirm that an occupied space is microbially distinct from an unoccupied one, and demonstrate for the first time that individuals release their own personalized microbial cloud.

摘要

微生物在人类与建筑环境之间的传播可通过与表面的直接接触或通过空气传播来实现;后一种机制仍知之甚少。人类每小时会释放超过10⁶个生物颗粒,并且长期以来人们都知道人类会将病原体传播给其他个体以及室内表面。然而,此前尚未证明人类会向周围室内空气中释放可检测到的微生物云,也未证明这种云是否具有足够的差异性以识别个体居住者。我们使用16S rRNA基因的高通量测序来表征坐在经过消毒的定制实验气候箱中的一个人的空气传播细菌贡献。我们将其与在相邻的、相同的、无人占用的箱中采集的空气样本以及进排气源进行了比较。此外,我们评估了每个居住者周围沉降颗粒中的微生物群落,以研究空气传播微生物排放的潜在长期归宿。在1.5 - 4小时内,大多数居住者都可以通过其空气传播细菌排放以及对沉降颗粒的贡献被清晰检测到。居住者的细菌云在统计学上是不同的,从而能够识别一些个体居住者。我们的结果证实,有人占用的空间在微生物方面与无人占用的空间不同,并首次证明个体释放出自己独特的微生物云。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5123/4582947/b058eda71e9c/peerj-03-1258-g001.jpg

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