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Characteristics of bacterial community in cloud water at Mt Tai: similarity and disparity under polluted and non-polluted cloud episodes

机译:大山云水中细菌群落的特征:受污染和无污染云事件下的相似性和差异性

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Bacteria are widely distributed in atmospheric aerosols and are indispensable components of clouds, playing an important role in the atmospheric hydrological cycle. However, limited information is available about the bacterial community structure and function, especially for the increasing air pollution in the North China Plain. Here, we present a comprehensive characterization of bacterial community composition, function, variation, and environmental influence for cloud water collected at Mt Tai from 24 July to 23 August 2014. Using Miseq 16S rRNA gene sequencing, the highly diverse bacterial community in cloud water and the predominant phyla of Proteobacteria, Bacteroidetes, Cyanobacteria, and Firmicutes were investigated. Bacteria that survive at low temperature, radiation, and poor nutrient conditions were found in cloud water, suggesting adaption to an extreme environment. The bacterial gene functions predicted from the 16S rRNA gene using the Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) suggested that the pathways related to metabolism and disease infections were significantly correlated with the predominant genera. The abundant genera iAcinetobacter/i, iStenotrophomonas/i, iPseudomonas/i, and iEmpedobacter/i originated from a wide range of habitats including cloud condensation nuclei and ice nuclei active species, opportunistic pathogens, and functional species, demonstrating the importance of ecology and health in cloud water. Cluster analysis including hierarchical cluster (Hcluster) and principal coordinate analysis (PCoA) indicated a significant disparity between polluted and non-polluted samples. Linear discriminant analysis effect size (LEfSe) demonstrated that potential pathogens were enriched in the polluted cloud samples, whereas the diverse ecological function groups were significant in the non-polluted samples. Discrepant community structure determined by redundancy analysis (RDA) indicated that the major ions in cloud water and PMsub2.?5/sub in the atmosphere have a negative impact on bacteria, playing a vital role in shaping microbial community structure. The major ions might provide nutrition to bacteria and directly influence the bacterial community, whereas PMsub2.?5/sub in air has an indirect impact on bacterial community structure. During wet deposition, soluble particulate matter was dissolved in water droplets resulting in elevated concentration in cloud water. PMsub2.?5/sub was possibly associated with different origins and pathways of air mass as determined using source tracking by the backward trajectory, mainly related to long-range transport. This work enhanced our understanding of the characteristics of bacterial ecology in the atmospheric aqueous phase, highlighting the potential influence of environmental variables on the bacterial community in cloud processes. It may provide fundamental information of the bacterial community response in cloud water under increasing pollution. However, due to the limited sample size (13?samples) collected at the summit of Mt Tai, these issues need in-depth discussion. Further studies based on an annual series of field observation experiments and laboratory simulations will continue to track these issues.
机译:细菌广泛分布于大气气溶胶中,是云不可缺少的组成部分,在大气水文循环中起着重要作用。但是,关于细菌群落结构和功能的信息很少,特别是对于华北平原日益严重的空气污染。在此,我们对2014年7月24日至8月23日在泰山收集的云水的细菌群落组成,功能,变异和环境影响进行了全面表征。使用Miseq 16S rRNA基因测序,云水中的细菌群落高度多样化,研究了变形杆菌,拟杆菌,蓝细菌和硬毛菌的主要门。在云水中发现了可以在低温,辐射和营养条件差的条件下生存的细菌,这表明它可以适应极端环境。从16S rRNA基因预测的细菌基因功能,使用了通过未观察到的状态重建进行的社区系统发育调查(PICRUSt),表明与代谢和疾病感染相关的途径与主要属显着相关。 不动杆菌嗜盐单胞菌,假单胞菌和 Empedobacter 的丰富属起源于包括云凝结核在内的多种生境。以及冰核活性物种,机会病原体和功能物种,这证明了云水中生态和健康的重要性。包括层次聚类(Hcluster)和主坐标分析(PCoA)在内的聚类分析表明,被污染样品与未污染样品之间存在显着差异。线性判别分析效果大小(LEfSe)表明,潜在的病原体富集在受污染的云样本中,而不同的生态功能组在无污染的样本中显着。通过冗余分析(RDA)确定的差异性群落结构表明,云水中的主要离子和大气中的PM 2.?5 对细菌具有负面影响,在塑造微生物群落结构中起着至关重要的作用。主要离子可能为细菌提供营养并直接影响细菌群落,而空气中的PM 2.?5 对细菌群落结构有间接影响。在湿法沉积过程中,可溶性颗粒物溶解在水滴中,导致云水中的浓度升高。 PM 2.?5 可能与通过向后轨迹进行源跟踪确定的空气质量的不同来源和路径有关,主要与远程运输有关。这项工作加深了我们对大气水相中细菌生态学特征的理解,突出了环境变量对云过程中细菌群落的潜在影响。它可能提供有关污染不断增加的云水中细菌群落反应的基本信息。但是,由于在泰山峰会上收集的样本数量有限(13个样本),这些问题需要深入讨论。基于年度现场观察实验和实验室模拟的进一步研究将继续追踪这些问题。

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