ArticleApplied and environmental microbiology2019
Recovery of Fungal Cells from Air Samples: a Tale of Loss and Gain.
Article in Applied and environmental microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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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.
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Who cites it
13 citing papers in PubMed, 31 citations in OpenAlex.
- Characterization of Airborne Fungal Diversity in Nunavik Housing Using Activated Air Sampling.ACS ES&T air · 2026Article
- Sampling and analysis methods for detecting and monitoring airborne plant pathogens and fungal diversity.Microbiology (Reading, England) · 2026Review
- From air to insight: the evolution of airborne DNA sequencing technologies.Microbiology (Reading, England) · 2025Review
- Critical insights on fungal contamination in schools: a comprehensive review of assessment methods.Frontiers in public health · 2025Review
- Rapid In-Field Detection of Airborne Pathogens Using Loop-Mediated Isothermal Amplification (LAMP).Microorganisms · 2024Article
- Quantitative microbial risk assessment (QMRA) tool for modelling pathogen infection risk to wastewater treatment plant workers.Water research · 2024Article
- Divergent TLR2 and TLR4 Activation by Fungal Spores and Species Diversity in Dust from Waste Sorting Plants.Applied and environmental microbiology · 2023Article
- Detection of glucosamine as a marker for Aspergillus niger: a potential screening method for fungal infections.Analytical and bioanalytical chemistry · 2021Article
- Performance evaluation of a new custom, multi-component DNA isolation method optimized for use in shotgun metagenomic sequencing-based aerosol microbiome research.Environmental microbiome · 2020Article
- Comparison of the performance of ITS1 and ITS2 as barcodes in amplicon-based sequencing of bioaerosols.PeerJ · 2020Article
- Metagenomic Characterization of Indoor Dust Bacterial and Fungal Microbiota in Homes of Asthma and Non-asthma Patients Using Next Generation Sequencing.Frontiers in microbiology · 2020Article
- Field sampling of indoor bioaerosols.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2020Article
- Bioaerosols Play a Major Role in the Nasopharyngeal Microbiota Content in Agricultural Environment.International journal of environmental research and public health · 2019Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There are limitations in establishing a direct link between fungal exposure and health effects due to the methodology used, among other reasons. Culture methods ignore the nonviable/uncultivable fraction of airborne fungi. Molecular methods allow for a better understanding of the environmental health impacts of microbial communities. However, there are challenges when applying these techniques to bioaerosols, particularly to fungal cells. This study reveals that there is a loss of fungal cells when samples are recovered from air using wet samplers and aimed to create and test an improved protocol for concentrating mold spores via filtration prior to DNA extraction. Results obtained using the new technique showed that up to 3 orders of magnitude more fungal DNA was retrieved from the samples using quantitative PCR. A sequencing approach with MiSeq revealed a different diversity profile depending on the methodology used. Specifically, 8 fungal families out of 19 families tested were highlighted to be differentially abundant in centrifuged and filtered samples. An experiment using laboratory settings showed the same spore loss during centrifugation for
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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.