School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China.
School of Energy and Environment and State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong SAR, China.
Environ Sci Technol. 2021 Nov 16;55(22):15051-15062. doi: 10.1021/acs.est.1c03941. Epub 2021 Nov 5.
Currently, there is a lack of understanding on the variations of the indoor airborne microbiotas of different building types within a city, and how operational taxonomic unit (OTU)- and amplicon sequence variant (ASV)-based analyses of the 16S rRNA gene sequences affect interpretation of the indoor airborne microbiota results. Therefore, in this study, the indoor airborne bacterial microbiotas between commercial buildings, residences, and subways within the same city were compared using both OTU- and ASV-based analytic methods. Our findings suggested that indoor airborne bacterial microbiota compositions were significantly different between building types regardless of the bioinformatics method used. The processes of ecological drift and random dispersal consistently played significant roles in the assembly of the indoor microbiota across building types. Abundant taxa tended to be more centralized in the correlation network of each building type, highlighting their importance. Taxonomic changes between the microbiotas of different building types were also linked to changes in their inferred metabolic function capabilities. Overall, the results imply that customized strategies are necessary to manage indoor airborne bacterial microbiotas for each building type or even within each specific building.
目前，人们对于城市中不同类型建筑室内空气微生物群的变化，以及基于操作分类单元 (OTU) 和扩增子序列变异 (ASV) 的 16S rRNA 基因序列分析如何影响室内空气微生物群结果的解释，还缺乏了解。因此，在这项研究中，我们使用基于 OTU 和 ASV 的分析方法比较了同一城市内商业建筑、住宅和地铁内的室内空气细菌微生物群。我们的研究结果表明，无论使用哪种生物信息学方法，室内空气细菌微生物群的组成在建筑类型之间存在显著差异。生态漂移和随机扩散过程在跨建筑类型的室内微生物群组装中始终起着重要作用。丰富的分类群往往在每个建筑类型的相关网络中更加集中，突出了它们的重要性。不同建筑类型之间微生物群的分类变化也与它们推断的代谢功能能力的变化有关。总的来说，研究结果表明，对于每个建筑类型甚至每个特定建筑，都需要制定定制化策略来管理室内空气细菌微生物群。
