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Temporal discrepancy of airborne total bacteria and pathogenic bacteria between day and night

机译:白天和夜间的空气中细菌和病原细菌的时间差异

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摘要

As the most abundant microbes in the atmosphere, airborne bacteria are closely involved in affecting human health, regional climate and ecological balance. The mobility of airborne microorganisms makes it necessary to study the community dynamic in short cycle. Nevertheless, it remains obscure how the airborne bacteria especially the pathogenic bacteria vary on the small time scale of day and night. To investigate the nycter-ohemeral discrepancy of airborne total bacteria and pathogenic bacteria, PM_(2.5) samples were collected in Hangzhou between day and night. Microbial taxonomic information was obtained through 16S rRNA gene sequencing and "human pathogens database" screening. Further analyses based on Multiple Regression Matrices (MRM) approach and Concentration Weighted Trajectory (CWT) model were conducted to elucidate the effect of local environmental factors and long-range transport. The community composition of total bacteria tended to be similar in the daytime while pathogenic bacteria turned out to be homogeneous in the nighttime. To be vigilant, the diversity of airborne pathogenic bacteria echoed the frequency of anthropogenic activities with the pathogen inhalation rate roughly at 428 copies/h and 235 copies/h respectively in daytime and nighttime. The nycter-ohemeral discrepancy of total bacteria was principally driven by the filtering of environmental factors, i.e., CO and NO_2, indicating that anthropogenic activities brought about the homogeneity. Airborne pathogenic bacteria coupled with the strong resistances of environmental filtering stood out from their non-pathogenic counterpart, which enabled the long-range transport. Indeed, the nycterohemeral discrepancy of pathogenic bacteria was shaped by the transport of air masses. This research filled the gaps in temporal variance of airborne microorganisms on the small time scale of day and night, providing crucial foundation for precisely predicting ecological and health effects of bioaerosols.
机译:作为大气中最丰富的微生物,空气中的细菌密切参与影响人类健康,区域气候和生态平衡。空气传播微生物的流动性使得必须在短期内研究社区动态。尽管如此,它仍然模糊了空中细菌的尤其是致病细菌在白天和夜晚的少量规模中变化。为了探讨空气中的Nycter-Othemeral差异和致病细菌,PM_(2.5)在白天和夜间在杭州收集样品。通过16S rRNA基因测序和“人病原体数据库”筛选获得微生物分类学信息。进行了基于多元回归矩阵(MRM)方法和浓度加权轨迹(CWT)模型的进一步分析,以阐明当地环境因素和远程运输的影响。总细菌的社区组成往往在白天相似,而病原细菌在夜间均匀。要保持警惕,空气传播的致病细菌的多样性与分别在白天和夜间分别在428份/ h和235拷贝/ h的病原体中吸入速率回应了人为活性的频率。总细菌的Nycter-Othemeral差异主要是由环境因素的过滤,即Co和No_2的过滤,表明均匀性带来的人为活性。空气中的致病细菌与环境过滤的强抗性相结合,从其非致病性对应物中脱颖而出,这使得远程运输能够。实际上,通过空气块的运输,致病细菌的Nycterahemeral差异。这项研究填补了空气传播微生物的时间方差对白天和夜晚的少的时间范围的差距,为精确预测生物溶胶的生态和健康影响提供了重要的基础。

著录项

  • 来源
    《Environmental research》 |2020年第7期|109540.1-109540.9|共9页
  • 作者单位

    Department of Environmental Engineering Zhejiang University Hangzhou 310058 China;

    Department of Environmental Engineering Zhejiang University Hangzhou 310058 China;

    Department of Environmental Engineering Zhejiang University Hangzhou 310058 China;

    Department of Environmental Engineering Zhejiang University Hangzhou 310058 China;

    Department of Environmental Engineering Zhejiang University Hangzhou 310058 China;

    Department of Environmental Engineering Zhejiang University Hangzhou 310058 China;

    Department of Environmental Engineering Zhejiang University Hangzhou 310058 China;

    Department of Environmental Health Sciences School of Public Health University of Michigan Ann Arbor MI USA;

    Department of Environmental Engineering Zhejiang University Hangzhou 310058 China Research Center for Air Pollution and Health Zhejiang University Hangzhou 310058 China Key Laboratory of Environment Remediation and Ecological Health Ministry of Education College of Environmental Resource Sciences Zhejiang University Hangzhou 310058 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Airborne bacteria; Pathogenic bacteria; Environmental factors; Long-rang transport; Day and night; Concentration weighed trajectory;

    机译:空气中的细菌;病原细菌;环境因素;长朗的运输;日夜;浓度称重轨迹;

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