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气生菌群揭秘:多标记代谢组条形码分析揭示了空气中微生物群落周转的潜在驱动因素。

The aerobiome uncovered: Multi-marker metabarcoding reveals potential drivers of turn-over in the full microbial community in the air.

机构信息

Wageningen Environmental Research, Wageningen University & Research, PO Box 47, 6700 AA Wageningen, the Netherlands.

Laboratory of Nematology, Wageningen University, 6700 AA Wageningen, the Netherlands.

出版信息

Environ Int. 2021 Sep;154:106551. doi: 10.1016/j.envint.2021.106551. Epub 2021 Apr 12.

Abstract

Air is a major conduit for the dispersal of organisms at the local and the global scale. Most research has focused on the dispersal of plants, vertebrates and human disease agents. However, the air represents a key dispersal medium also for bacteria, fungi and protists. Many of those represent potential pathogens of animals and plants and have until now gone largely unrecorded. Here we studied the turnover in composition of the entire aerobiome, the collective diversity of airborne microorganisms. For that we performed daily analyses of all prokaryotes and eukaryotes (including plants) using multi-marker high-throughput sequencing for a total of three weeks. We linked the resulting communities to local weather conditions, to assess determinants of aerobiome composition and distribution. We observed hundreds of microbial taxa, mostly belonging to spore-forming organisms including fungi, but also protists. Additionally, we detected many potential human- and plant-pathogens. Community composition fluctuated on a daily basis and was linked to concurrent weather conditions, particularly air pressure and temperature. Using network analyses, we identified taxonomically diverse groups of organisms with correlated temporal dynamics. In part, this was due to co-variation with environmental conditions, while we could also detect specific host-parasite interactions. This study provides the first full inventory of the aerobiome and identifies putative drivers of its dynamics in terms of taxon composition. This knowledge can help develop early warning systems against pathogens and improve our understanding of microbial dispersal.

摘要

空气是本地和全球范围内生物扩散的主要媒介。大多数研究都集中在植物、脊椎动物和人类疾病媒介的扩散上。然而,空气也是细菌、真菌和原生生物的关键扩散介质。其中许多生物是动物和植物的潜在病原体,迄今为止,这些生物在很大程度上未被记录。在这里,我们研究了整个空气微生物群落(空气微生物的集体多样性)的组成变化。为此,我们使用多标记高通量测序技术对所有原核生物和真核生物(包括植物)进行了每天的分析,总共进行了三周。我们将得到的群落与当地的天气条件联系起来,以评估空气微生物组成和分布的决定因素。我们观察到了数百个微生物类群,它们主要属于包括真菌在内的孢子形成生物,但也包括原生生物。此外,我们还检测到了许多潜在的人类和植物病原体。群落组成每天都在波动,并与同期的天气条件有关,特别是气压和温度。通过网络分析,我们确定了具有相关时间动态的分类多样的生物体组。部分原因是与环境条件的共变,而我们也可以检测到特定的宿主-寄生虫相互作用。这项研究提供了空气微生物群的第一个完整清单,并确定了其动态的分类组成驱动因素。这些知识可以帮助开发针对病原体的预警系统,并提高我们对微生物扩散的理解。

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