Evidence map›Paper›PMID 36323743›Full record

ArticleScientific reports2022

Seasonal variations of the airborne microbial assemblages of the Seoul subway, South Korea from 16S and ITS gene profiles with chemical analysis.

Zohaib Ul Hassan, Hana Cho, Changwoo Park, Yong-Hyeon Yim, Seil Kim

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Zohaib Ul HassanGroup for Biometrology, Korea Research Institute of Standards and Science (KRISS), Daejeon, 34113, Republic of Korea.
Hana ChoInorganic Metrology Group, Division of Chemical and Biological Metrology, Korea Research Institute of Standards and Science, Daejeon, 34113, Korea.
Changwoo ParkGroup for Biometrology, Korea Research Institute of Standards and Science (KRISS), Daejeon, 34113, Republic of Korea.
Yong-Hyeon YimDepartment of Bio-Analytical Science, University of Science and Technology (UST), Daejeon, 34113, Republic of Korea.
Seil KimGroup for Biometrology, Korea Research Institute of Standards and Science (KRISS), Daejeon, 34113, Republic of Korea. stapler@kriss.re.kr.

Funding

Korea Research Institute of Standards and Science GP2021-0003-08Ministry of Science and ICT, South Korea CRC-16-01-KRICTUniversity of Science and Technology, South Korea 2020YS26
6 · The paper itself

Abstract

In this study, we determined the seasonal airborne microbial diversity profiles at SMRT stations by sequencing the 16S rRNA and ITS. Particulate matter samples were collected from air purifiers installed in the platform area of the SMRT subway stations. Three stations that included the most crowded one were selected for the sampling. The sampling was done at each season during 2019. After extracting the total DNA from all seasonal samples, PCR was performed with Illumina overhang adapter primers for the V3-V4 region of the 16S rRNA gene and ITS2 region of the ITS gene. The amplified products were further purified, and sequencing libraries were made. Sequencing was carried with the Illumina Miseq Sequencing system (Illumina, USA) followed by in-depth diversity analyses. The elemental composition of the particulate matter samples collected from the different subway stations were obtained using a WD-XRF spectrometer. The SMRT microbiome showed extensive taxonomic diversity with the most common bacterial genera at the subway stations associated with the skin. Overall, the stations included in this study harbored different phylogenetic communities based on α- and β-diversity comparisons. Microbial assemblages also varied depending upon the season in which the samples were taken and the station. Major elements present at the subway stations were from aerosols generated between wheels and brake cushions and between the catenaries and the pantographs. This study shows that the microbial composition of the SMRT subway stations comes from a diverse combination of environmental and human sources, the season and the lifestyle of commuters.

Indexed as

RailroadsHumansParticulate MatterPhylogenyRNA, Ribosomal, 16SSeasonsSeoulParticulate MatterRNA, Ribosomal, 16S

Identifiers

PMID36323743
PMCPMC9630434

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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.