Evidence map›Paper›PMID 33122683›Full record

ArticleScientific reports2020

A rigorous assessment and comparison of enumeration methods for environmental viruses.

Judith Kaletta, Carolin Pickl, Christian Griebler, Andreas Klingl, Rainer Kurmayer, Li Deng

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
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

12 citing papers in PubMed, 38 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Judith KalettaInstitute of Virology, Helmholtz Centre Munich, Munich, Germany.
Carolin PicklPlant Development and Electron Microscopy, Department Biology I, Biocenter, Ludwig-Maximilians-University Munich, Munich, Germany.
Christian GrieblerInstitute of Groundwater Ecology, Helmholtz Centre Munich, Munich, Germany.
Andreas KlinglPlant Development and Electron Microscopy, Department Biology I, Biocenter, Ludwig-Maximilians-University Munich, Munich, Germany.
Rainer KurmayerResearch Department for Limnology, University of Innsbruck, Innsbruck, Austria.ORCID 0000-0002-2100-9616
Li DengInstitute of Virology, Helmholtz Centre Munich, Munich, Germany. li.deng@helmholtz-muenchen.de.ORCID 0000-0003-0225-0663
Helmholtz Zentrum München · DELudwig-Maximilians-Universität München · DEUniversität Innsbruck · ATUniversity of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

ColiphagesGenome, ViralReal-Time Polymerase Chain ReactionViral LoadViral Plaque AssayVirusesWater Microbiology

Identifiers

PMID33122683
PMCPMC7596560
OpenAlexW3094665463

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.