College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
Sci Total Environ. 2021 Feb 25;757:143743. doi: 10.1016/j.scitotenv.2020.143743. Epub 2020 Nov 24.
As a potential transmission route for diseases, aerosols have an important impact on human health. At present, research concerning the biological components of atmospheric particulate matter (PM) is of increasing interest. However, previous research has mainly focused on serious pollution conditions, creating a knowledge gap regarding background atmospheric microbes. In this study, we observed the atmosphere of Huairou in Beijing for one year, analyzed the characteristics of the physiological metabolic activity of the microorganisms as an index to determine the air quality, and further explored the microbial communities. From January 2018 to January 2019, a total of 157 days of microbial activity data for PM and PM were obtained through the use of a modified fluorescein diacetate (FDA) hydrolysis method. Our results showed that there was no significant difference between the microbial activity of PM and PM, even though there was significant seasonal variation. At increasing pollution levels, the results showed that the microbial activity decreased at first, and then increased as the conditions worsened. The microbial community of PM was analyzed using the high-throughput sequencing method. There were significant seasonal differences in species richness and community diversity of bacteria in PM, whereas there was variation only in its fungi species richness. Notably, the microbial community dominated by bacteria has a significant influence on microbial activity. From the perspective of microbial community composition, this study uncovered the possible causes of microbial activity variation and identified the key bacteria and fungi. These results will provide a theoretical basis for both improving air biological pollution predictions and ambient air quality evaluations.
作为疾病的潜在传播途径,气溶胶对人类健康有重要影响。目前,大气颗粒物(PM)中生物成分的研究越来越受到关注。然而,以往的研究主要集中在严重污染条件下,对背景大气微生物的了解存在空白。在本研究中,我们对北京怀柔地区的大气进行了为期一年的观测,以微生物生理代谢活性特征作为空气质量指示指标进行分析,并进一步对微生物群落进行了探索。2018 年 1 月至 2019 年 1 月,通过改良的荧光素二乙酸(FDA)水解法共获得了 157 天 PM 和 PM 的微生物活性数据。结果表明,尽管存在显著的季节性变化,但 PM 和 PM 的微生物活性没有显著差异。随着污染程度的增加,微生物活性起初降低,随后随着污染加重而增加。采用高通量测序方法对 PM 的微生物群落进行了分析。PM 中细菌的物种丰富度和群落多样性存在显著的季节性差异,而真菌的物种丰富度仅存在变化。值得注意的是,以细菌为主导的微生物群落对微生物活性有显著影响。从微生物群落组成的角度来看,本研究揭示了微生物活性变化的可能原因,并确定了关键的细菌和真菌。这些结果将为改进空气生物污染预测和环境空气质量评估提供理论依据。