Uetake Jun, Tobo Yutaka, Uji Yasushi, Hill Thomas C J, DeMott Paul J, Kreidenweis Sonia M, Misumi Ryohei
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States.
National Institute of Polar Research, Tachikawa, Japan.
Front Microbiol. 2019 Jul 16;10:1572. doi: 10.3389/fmicb.2019.01572. eCollection 2019.
In order to study airborne bacterial community dynamics over Tokyo, including fine-scale correlations between airborne microorganisms and meteorological conditions, and the influence of local versus long-range transport of microbes, air samples were collected on filters for periods ranging from 48 to 72 h. The diversity of the microbial community was assessed by next generation sequencing. Predicted source regions of airborne particles, from back trajectory analyses, changed abruptly from the Pacific Ocean to the Eurasian Continent in the beginning of October. However, the microbial community composition and the alpha and beta diversities were not affected by this shift in meteorological regime, suggesting that long-range transport from oceanic or continental sources was not the principal determinant controlling the local airborne microbiome. By contrast, we found a significant correlation between the local meteorology, especially relative humidity and wind speed, and both alpha diversity and beta diversity. Among four potential local source categories (soil, bay seawater, river, and pond), bay seawater and soil were identified as constant and predominant sources. Statistical analyses point toward humidity as the most influential meteorological factor, most likely because it is correlated with soil moisture and hence negatively correlated with the dispersal of particles from the land surface. In this study, we have demonstrated the benefits of fine-scale temporal analyses for understanding the sources and relationships with the meteorology of Tokyo's "aerobiome."
为了研究东京上空的空气传播细菌群落动态,包括空气传播微生物与气象条件之间的精细尺度相关性,以及微生物的本地传输与远距离传输的影响,在过滤器上采集了48至72小时的空气样本。通过下一代测序评估微生物群落的多样性。根据后向轨迹分析,空气传播颗粒的预测源区在10月初从太平洋突然变为欧亚大陆。然而,微生物群落组成以及α和β多样性并未受到这种气象状况变化的影响,这表明来自海洋或大陆源区的远距离传输并非控制当地空气传播微生物群落的主要决定因素。相比之下,我们发现当地气象条件,尤其是相对湿度和风速,与α多样性和β多样性之间存在显著相关性。在四个潜在的本地源类别(土壤、海湾海水、河流和池塘)中,海湾海水和土壤被确定为持续且主要的源区。统计分析表明湿度是最具影响力的气象因素,很可能是因为它与土壤湿度相关,因此与陆地表面颗粒的扩散呈负相关。在本研究中,我们展示了精细尺度的时间分析对于理解东京“空气微生物群落”的来源及其与气象学关系的益处。