Evidence map›Paper›PMID 31856911›Full record

ArticleMicrobiome2019

The subway microbiome: seasonal dynamics and direct comparison of air and surface bacterial communities.

Jostein Gohli, Kari Oline Bøifot, Line Victoria Moen, Paulina Pastuszek, Gunnar Skogan, Klas I Udekwu, Marius Dybwad

Abstract read
In one paragraph

Article in Microbiome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
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  10. The indoors microbiome and human health.Nature reviews. Microbiology · 2024
    Review
  11. Article
  12. Review
  13. Article
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  16. Beta-Lactam Antibiotic Resistance Genes in the Microbiome of the Public Transport System of Quito, Ecuador.International journal of environmental research and public health · 2023
    Article
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  18. 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

7 authors.

Jostein GohliNorwegian Defence Research Establishment, P.O. Box 25, NO-2027, Kjeller, Norway. Jostein.Gohli@ffi.no.ORCID 0000-0002-7273-1860
Kari Oline BøifotNorwegian Defence Research Establishment, P.O. Box 25, NO-2027, Kjeller, Norway.
Line Victoria MoenNorwegian Defence Research Establishment, P.O. Box 25, NO-2027, Kjeller, Norway.
Paulina PastuszekDepartment of Molecular Biosciences, Stockholm University, SE 10691, Stockholm, Sweden.
Gunnar SkoganNorwegian Defence Research Establishment, P.O. Box 25, NO-2027, Kjeller, Norway.
Klas I UdekwuSoS BIOs Sweden, Tiundagatan 41, SE 752 30, Uppsala, Sweden.
Marius DybwadNorwegian Defence Research Establishment, P.O. Box 25, NO-2027, Kjeller, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMass transit environments, such as subways, are uniquely important for transmission of microbes among humans and built environments, and for their ability to spread pathogens and impact large numbers of people. In order to gain a deeper understanding of microbiome dynamics in subways, we must identify variables that affect microbial composition and those microorganisms that are unique to specific habitats.

methodsWe performed high-throughput 16S rRNA gene sequencing of air and surface samples from 16 subway stations in Oslo, Norway, across all four seasons. Distinguishing features across seasons and between air and surface were identified using random forest classification analyses, followed by in-depth diversity analyses.

resultsThere were significant differences between the air and surface bacterial communities, and across seasons. Highly abundant groups were generally ubiquitous; however, a large number of taxa with low prevalence and abundance were exclusively present in only one sample matrix or one season. Among the highly abundant families and genera, we found that some were uniquely so in air samples. In surface samples, all highly abundant groups were also well represented in air samples. This is congruent with a pattern observed for the entire dataset, namely that air samples had significantly higher within-sample diversity. We also observed a seasonal pattern: diversity was higher during spring and summer. Temperature had a strong effect on diversity in air but not on surface diversity. Among-sample diversity was also significantly associated with air/surface, season, and temperature.

conclusionsThe results presented here provide the first direct comparison of air and surface bacterial microbiomes, and the first assessment of seasonal variation in subways using culture-independent methods. While there were strong similarities between air and surface and across seasons, we found both diversity and the abundances of certain taxa to differ. This constitutes a significant step towards understanding the composition and dynamics of bacterial communities in subways, a highly important environment in our increasingly urbanized and interconnect world. Video abstract.

Indexed as

Air MicrobiologyMicrobiotaRailroadsBacteriaBiodiversityClimateHumansNorwayPhylogenyRNA, Ribosomal, 16SSeasonsUrbanizationRNA, Ribosomal, 16S16S rRNA geneAerosolAirAmplicon sequencingMicrobiomeSeasonal variationSubway

Identifiers

PMID31856911
PMCPMC6924074

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.