ArticleScientific reports2020
A rigorous assessment and comparison of enumeration methods for environmental viruses.
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.
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, 38 citations in OpenAlex.
- PRISM: A unified platform for phage isolation and characterization from single-droplet microenvironments.Science advances · 2026Article
- Article
- CRISPR adaptation inmSphere · 2025Article
- Abundance measurements reveal the balance between lysis and lysogeny in the human gut microbiome.Current biology : CB · 2025Article
- Development of a quantitative metagenomic approach to establish quantitative limits and its application to viruses.Nucleic acids research · 2025Article
- Real-time monitoring by interferometric light microscopy of phage suspensions for personalised phage therapy.Scientific reports · 2024Article
- Comparison of interferometric light microscopy with nanoparticle tracking analysis for the study of extracellular vesicles and bacteriophages.Journal of extracellular biology · 2023Article
- Distribution, inducibility, and characteristics ofMicrobiome research reports · 2023Article
- Distribution, inducibility, and characterisation of prophages in Latilactobacillus sakei.BMC microbiology · 2022Article
- Women in the European Virus Bioinformatics Center.Viruses · 2022Article
- Rapid high-throughput compatible label-free virus particle quantification method based on time-resolved luminescence.Analytical and bioanalytical chemistry · 2022Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Determining exact viral titers in a given sample is essential for many environmental and clinical applications, e.g., for studying viral ecology or application of bacteriophages for food safety. However, virus quantification is not a simple task, especially for complex environmental samples. While clonal viral isolates can be quantified with relative high accuracy using virus-specific methods, i.e., plaque assay or quantitative real-time PCR, these methods are not valid for complex and diverse environmental samples. Moreover, it is not yet known how precisely laser-based methods, i.e., epifluorescence microscopy, flow cytometry, and nanoparticle tracking analysis, quantify environmental viruses. In the present study, we compared five state-of-the-art viral quantification methods by enumerating four model viral isolates of different genome and size characteristics as well as four different environmental water samples. Although Nanoparticle tracking analysis combined with gentle staining at 30 °C could be confirmed by this study to be a reliable quantification technique for tested environmental samples, environmental samples still lack an universally applicable and accurate quantification method. Special attention has to be put on optimal sample concentrations as well as optimized sample preparations, which are specific for each method. As our results show the inefficiency when enumerating small, or single-stranded DNA or RNA viruses, the global population of viruses is presumably higher than expected.
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.