ArticleScientific reports2020
Taxonomic composition and seasonal dynamics of the air microbiome in West Siberia.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled 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.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of outdoor airborne fungal spore seasonality across Europe and the implications for health.The Science of the total environment · 2022Pooled it
- Spatial and temporal patterns of public transit aerobiomes.Microbiome · 2026Article
- Characterization of the atmospheric microbiome in a semi-rural area of Central Europe using flow cytometry.ISME communications · 2026Article
- Characterization of Bacterial Communities in Air and Bedding Materials of Intensive Donkey Farms During Summer.Microorganisms · 2025Article
- From air to insight: the evolution of airborne DNA sequencing technologies.Microbiology (Reading, England) · 2025Review
- Analysis of metagenomic data.Nature reviews. Methods primers · 2025Article
- Three-Year Monitoring of Microorganisms' Composition and Concentration in Atmospheric Aerosols of Novosibirsk City and Suburbs.Microorganisms · 2024Article
- Sampling efficiency and nucleic acid stability during long-term sampling with different bioaerosol samplers.Environmental monitoring and assessment · 2024Article
- The atmosphere: a transport medium or an active microbial ecosystem?The ISME journal · 2024Review
- TimeNorm: a novel normalization method for time course microbiome data.Frontiers in genetics · 2024Article
- Short-range contributions of local sources to ambient air.PNAS nexus · 2022Article
- About the Biodiversity of the Air Microbiome.Acta naturaeArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Here, we describe taxonomical composition, as well as seasonal and diel dynamics of airborne microbial communities in West Siberia. A total of 78 airborne biomass samples from 39 time intervals were analysed, within a temperature range of 48 °C (26 °C to - 22 °C). We observed a 5-170-fold decrease in DNA yield extracted from the airborne biomass in winter compared to summer, nevertheless, yielding sufficient material for metagenomic analysis. The airborne microbial communities included Actinobacteria and Proteobacteria, Ascomycota and Basidiomycota fungi as major components, as well as some Streptophyta plants. In summer, bacterial and fungal plant pathogens, and wood-rotting saprophytes were predominant. In winter, Ascomycota moulds and cold-related or stress environment bacterial species were enriched, while the fraction of wood-rotting and mushroom-forming Basidiomycota fungi was largely reduced. As recently reported for the tropical climate, the airborne microbial communities performed a diel cycle in summer, however, in winter diel dynamics were not observed.
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.