ArticleComputational and structural biotechnology journal2020
Co-occurrence patterns of bacteria within microbiome of Moscow subway.
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.
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.
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.
Who cites it
18 citing papers in PubMed.
- Shotgun metagenomic dataset of surface microbiomes at a train station in Shinagawa, Tokyo.BMC genomic data · 2026Article
- Probiotic-Based Approaches for Sustainable Control of Infectious Risk in Mass Transport: Current Data and Future Perspectives.Microbial biotechnology · 2025Review
- Bacterial diversity and biomarkers screening of station and carriage surface in Shanghai metro system, China.Current research in microbial sciences · 2025Article
- The indoors microbiome and human health.Nature reviews. Microbiology · 2024Review
- The composition of the bacterial communities collected from the PMScientific reports · 2024Article
- An overview of the bacterial microbiome of public transportation systems-risks, detection, and countermeasures.Frontiers in public health · 2024Review
- The Microbiome of Things: Appliances, Machines, and Devices Hosting Artificial Niche-Adapted Microbial Communities.Microorganisms · 2023Review
- Urban Microbiomes in Narita, Chiba, Japan: Shotgun Metagenome Sequences of a Train Station.Microbiology resource announcements · 2023Article
- Beta-Lactam Antibiotic Resistance Genes in the Microbiome of the Public Transport System of Quito, Ecuador.International journal of environmental research and public health · 2023Article
- Microbiome and virome on indoor surfaces of an Antarctic research ship.Memorias do Instituto Oswaldo Cruz · 2023Article
- The Microbiome of the Built Environment: The Nexus for Urban Regeneration for the Cities of Tomorrow.Microorganisms · 2022Article
- Antimicrobial Effectiveness of an Usnic-Acid-Containing Self-Decontaminating Coating on Underground Metro Surfaces in Athens.Microorganisms · 2022Article
- Seasonal variations of the airborne microbial assemblages of the Seoul subway, South Korea from 16S and ITS gene profiles with chemical analysis.Scientific reports · 2022Article
- Microbial Tracking-2, a metagenomics analysis of bacteria and fungi onboard the International Space Station.Microbiome · 2022Article
- Article
- Characterization of the public transit air microbiome and resistome reveals geographical specificity.Microbiome · 2021Article
- On the Verge of a Catastrophic Collapse? The Need for a Multi-Ecosystem Approach to Microbiome Studies.Frontiers in microbiology · 2021Article
- Development of qPCR platform with probes for quantifying prevalent and biomedically relevant human gut microbial taxa.Molecular and cellular probes · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
Registered trials
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.