Evidence map›Paper›PMID 31379765›Full record

ArticleFrontiers in microbiology2019

Seasonal Changes of Airborne Bacterial Communities Over Tokyo and Influence of Local Meteorology.

Jun Uetake, Yutaka Tobo, Yasushi Uji, Thomas C J Hill, Paul J DeMott, Sonia M Kreidenweis, Ryohei Misumi

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Influence of COAntibiotics (Basel, Switzerland) · 2024
    Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. Observational
  18. Microbial ecology of the atmosphere.FEMS microbiology reviews · 2022
    Review
  19. Article
  20. Article
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

7 authors.

Jun UetakeDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO, United States.
Yutaka ToboNational Institute of Polar Research, Tachikawa, Japan.
Yasushi UjiNational Research Institute for Earth Science and Disaster Resilience, Storm, Flood and Landslide Research Division, Tsukuba, Japan.
Thomas C J HillDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO, United States.
Paul J DeMottDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO, United States.
Sonia M KreidenweisDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO, United States.
Ryohei MisumiNational Research Institute for Earth Science and Disaster Resilience, Storm, Flood and Landslide Research Division, Tsukuba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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."

Indexed as

airairborne microbiomebioaerosolDNAnext generation sequencingurban microbiome

Identifiers

PMID31379765
PMCPMC6646838

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.