4.6 Article

Seasonal Analysis of Microbial Communities in Precipitation in the Greater Tokyo Area, Japan

期刊

FRONTIERS IN MICROBIOLOGY
卷 8, 期 -, 页码 1-10

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fmicb.2017.01506

关键词

microbial ecology; precipitation; long-distance transportation; ice nucleation activity; habitat estimation

资金

  1. Japan Science and Technology Agency (CREST)
  2. Japan Society for the Promotion of Science [15J08604, 15H01725, 16H06154]
  3. Ministry of Education, Culture, Sports, Science, and Technology in Japan [221S0002, 16H06279]
  4. Canon Foundation
  5. Grants-in-Aid for Scientific Research [15H01725, 15J08604, 16H06279, 16H06154] Funding Source: KAKEN

向作者/读者索取更多资源

The presence of microbes in the atmosphere and their transport over long distances across the Earth's surface was recently shown. Precipitation is likely a major path by which aerial microbes fall to the ground surface, affecting its microbial ecosystems and introducing pathogenic microbes. Understanding microbial communities in precipitation is of multidisciplinary interest from the perspectives of microbial ecology and public health; however, community-wide and seasonal analyses have not been conducted. Here, we carried out 16S rRNA amplicon sequencing of 30 precipitation samples that were aseptically collected over 1 year in the Greater Tokyo Area, Japan. The precipitation microbial communities were dominated by Proteobacteria, Firmicutes, Bacteroidetes, and Actinobacteria and were overall consistent with those previously reported in atmospheric aerosols and cloud water. Seasonal variations in composition were observed; specifically, Proteobacteria abundance significantly decreased from summer to winter. Notably, estimated ordinary habitats of precipitation microbes were dominated by animal-associated, soil-related, and marine-related environments, and reasonably consistent with estimated air mass backward trajectories. To our knowledge, this is the first amplicon-sequencing study investigating precipitation microbial communities involving sampling over the duration of a year.

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