China Pharmaceutical Culture Collection, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People's Republic of China.
Department of Microbiology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, People's Republic of China.
Appl Environ Microbiol. 2018 Apr 16;84(9). doi: 10.1128/AEM.00004-18. Print 2018 May 1.
The structural variation of the bacterial community associated with particulate matter (PM) was assessed in an urban area of Beijing during hazy and nonhazy days. Sampling for different PM fractions (PM [<2.5 μm], PM [<10 μm], and total suspended particulate) was conducted using three portable air samplers from September 2014 to February 2015. The airborne bacterial community in these samples was analyzed using the Illumina MiSeq platform with bacterium-specific primers targeting the 16S rRNA gene. A total of 1,707,072 reads belonging to 6,009 operational taxonomic units were observed. The airborne bacterial community composition was significantly affected by PM fractions ( = 0.157, < 0.01). In addition, the relative abundances of several genera significantly differed between samples with various haze levels; for example, , , and spp. increased in heavy-haze days. Canonical correspondence analysis and permutation tests showed that temperature, SO concentration, relative humidity, PM concentration, and CO concentration were significant factors that associated with airborne bacterial community composition. Only six genera increased across PM samples (, , , and ) and PM samples ( and ), while a large number of taxa significantly increased in total suspended particulate samples, such as , , and Network analysis indicated that , , , and were the key genera in the airborne PM samples. Overall, the findings presented here suggest that diverse airborne bacterial communities are associated with PM and provide further understanding of bacterial community structure in the atmosphere during hazy and nonhazy days. The results presented here represent an analysis of the airborne bacterial community associated with particulate matter (PM) and advance our understanding of the structural variation of these communities. We observed a shift in bacterial community composition with PM fractions but no significant difference with haze levels. This may be because the bacterial differences are obscured by high bacterial diversity in the atmosphere. However, we also observed that a few genera (such as , , and ) increased significantly on heavy-haze days. In addition, , , , and were the key genera in the airborne PM samples. Accurate and real-time techniques, such as metagenomics and metatranscriptomics, should be developed for a future survey of the relationship of airborne bacteria and haze.
本研究在北京的一个城区，于雾霾天和非雾霾天评估了与颗粒物（PM）相关的细菌群落的结构变化。2014 年 9 月至 2015 年 2 月，使用 3 台便携式空气采样器对不同 PM 浓度（PM<2.5μm、PM<10μm 和总悬浮颗粒物）进行采样。使用针对 16S rRNA 基因的细菌特异性引物，通过 Illumina MiSeq 平台分析这些样本中的空气传播细菌群落。共观察到属于 6,009 个操作分类单元的 1,707,072 个读段。空气传播细菌群落的组成受到 PM 浓度的显著影响（=0.157，<0.01）。此外，在具有不同雾霾水平的样本中，几个属的相对丰度也有显著差异；例如，在重度雾霾天，、、和 spp.的丰度增加。典范对应分析和置换检验表明，温度、SO 浓度、相对湿度、PM 浓度和 CO 浓度是与空气传播细菌群落组成相关的显著因素。仅在 PM 样本（、、和）和 PM 样本（和）中，有六个属增加，而在总悬浮颗粒物样本中，大量分类群的丰度显著增加，例如、和。网络分析表明，、、、和是空气 PM 样本中的关键属。总的来说，本研究结果表明，多样化的空气传播细菌群落与 PM 有关，并进一步了解雾霾天气和非雾霾天气大气中细菌群落的结构。
