空气传播微生物生态学:了解雾霾和沙尘暴对细菌群落结构和致病性的影响

Jiahui Ma, Fangxia Shen*, Mengzhen Wang, Ye Sun, Chenji Li, Yinghan Teng, Quan Mu, Yu Chen, Yunhao Zheng, Yan Wu, Siyu Chen and Tianle Zhu, 
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引用次数: 0

摘要

空气污染物对健康的不利影响与其成分(包括生物气溶胶)密切相关。然而,人们尚未完全了解污染过程中生物气溶胶的特征。在此,我们研究了细菌气溶胶在一次雾霾和一次沙尘暴的短时间内每 2 到 6 小时的动态变化。我们使用 16S rRNA 基因(rDNA)测序来鉴定细菌总数,并使用 16S rRNA(rRNA)测序来描述代谢活跃的细菌的特征。结果显示,沙尘暴空气中的细菌多样性最高,而雾霾空气中的细菌多样性最低,两者的群落结构明显不同。此外,在沙尘暴空气中,细菌总数和活跃细菌群落之间存在很大差异,活跃细菌群中以数量较少的细菌为主。选择性压力在沙尘暴期间活性细菌和雾霾空气中总细菌群落的组成中发挥了关键作用,从而使空气中的微生物和化学成分之间产生了潜在的相互作用。此外,功能预测分析表明,沙尘暴空气中的活性细菌具有更强的致病性。这些关于污染过程中细菌气溶胶每小时聚集动态和活动的见解,强调了进一步研究生物气溶胶和空气污染物之间复杂相互作用的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Ecology of Airborne Microorganisms: Understanding the Impact of Haze and Sandstorms on Bacterial Community Structure and Pathogenicity

The adverse health effects of air pollutants are closely associated with their components, including bioaerosols. However, the characteristics of bioaerosols during pollution processes are not yet fully understood. Here, we investigated the 2- to 6-hly dynamics of bacterial aerosols over a short period that spanned one instance of haze and one sandstorm. 16S rRNA gene (rDNA) sequencing was used to identify the total bacteria, and 16S rRNA (rRNA) sequencing was applied to characterize the actively metabolizing bacteria. The results revealed the highest bacterial diversity in sandstorm air and the lowest bacterial diversity in haze air, with markedly different community structures. Moreover, substantial dissimilarity was detected between the communities of total bacteria and active bacteria within the sandstorm air, with less abundant bacteria dominating the active bacterial population. Selective pressure played a pivotal role in shaping the composition of active bacteria during sandstorms and the total bacterial community in hazy air, thereby enabling potential interactions between airborne microorganisms and chemical components. Additionally, functional prediction analysis suggested increased pathogenicity in the active bacteria of sandstorm air. These insights into the aggregated hourly dynamics and activity of bacterial aerosols during pollution processes underscore the importance of further research into the complex interactions between bioaerosols and air pollutants.

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