Evidence map›Paper›PMID 32071708›Full record

ArticleComputational and structural biotechnology journal2020

Co-occurrence patterns of bacteria within microbiome of Moscow subway.

Natalia S Klimenko, Alexander V Tyakht, Stepan V Toshchakov, Margarita A Shevchenko, Aleksei A Korzhenkov, Ebrahim Afshinnekoo, Christopher E Mason, Dmitry G Alexeev

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. The indoors microbiome and human health.Nature reviews. Microbiology · 2024
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. 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
  10. Article
  11. Article
  12. Article
  13. Article
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  15. 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

8 authors.

Natalia S KlimenkoKnomics LLC, Skolkovo Innovation Center, Bolshoy Bulvar Str., Building 42, Premise 1, Room 1639, Moscow 143026, Russia.
Alexander V TyakhtKnomics LLC, Skolkovo Innovation Center, Bolshoy Bulvar Str., Building 42, Premise 1, Room 1639, Moscow 143026, Russia.
Stepan V ToshchakovNational Research Center "Kurchatov Institute", Akademika Kurchatova Sq., 1, Moscow 123182, Russia.
Margarita A ShevchenkoImmanuel Kant Baltic Federal University, Universitetskaya Str., 2, Room 106, Kaliningrad 236040, Russia.
Aleksei A KorzhenkovNational Research Center "Kurchatov Institute", Akademika Kurchatova Sq., 1, Moscow 123182, Russia.
Ebrahim AfshinnekooDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
Christopher E MasonDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
Dmitry G AlexeevKnomics LLC, Skolkovo Innovation Center, Bolshoy Bulvar Str., Building 42, Premise 1, Room 1639, Moscow 143026, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial ecosystems of the built environments have become key mediators of health as people worldwide tend to spend large amount of time indoors. Underexposure to microbes at an early age is linked to increased risks of allergic and autoimmune diseases. Transportation systems are of particular interest, as they are globally the largest space for interactions between city-dwellers. Here we performed the first pilot study of the Moscow subway microbiome by analyzing swabs collected from 5 types of surfaces at 4 stations using high-throughput 16S rRNA gene sequencing. The study was conducted as a part of The Metagenomics and Metadesign of the Subways and Urban Biomes (MetaSUB) project. The most abundant microbial taxa comprising the subway microbiome originated from soil and human skin. Microbiome diversity was positively correlated with passenger traffic. No substantial evidence of major human pathogens presence was found. Co-occurrence analysis revealed clusters of microbial genera including combinations of microbes likely originating from different niches. The clusters as well as the most abundant microbes were similar to ones obtained for the published data on New-York City subway microbiome. Our results suggest that people are the main source and driving force of diversity in subway-associated microbiome. The data form a basis for a wider survey of Moscow subway microbiome to explore its longitudinal dynamics by analyzing an extended set of sample types and stations. Complementation of methods with viability testing, "shotgun" metagenomics, sequencing of bacterial isolates and culturomics will provide insights for public health, biosafety, microbial ecology and urban design.

Indexed as

16S rRNABiosurveillanceBuilt environmentsCo-occurrence patternsSubwayUrban microbiome

Identifiers

PMID32071708
PMCPMC7016200

What OpenQuestion holds

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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.