Evidence map›Paper›PMID 28848519›Full record

ArticleFrontiers in microbiology2017

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

Satoshi Hiraoka, Masaya Miyahara, Kazushi Fujii, Asako Machiyama, Wataru Iwasaki

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Relevance of Microorganisms in Causing Rain and Snow.Recent patents on biotechnology · 2025
    Review
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Satoshi HiraokaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of TokyoChiba, Japan.
Masaya MiyaharaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of TokyoChiba, Japan.
Kazushi FujiiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of TokyoChiba, Japan.
Asako MachiyamaAtmosphere and Ocean Research Institute, The University of TokyoChiba, Japan.
Wataru IwasakiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of TokyoChiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

habitat estimationice nucleation activitylong-distance transportationmicrobial ecologyprecipitation

Identifiers

PMID28848519
PMCPMC5554504

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.