Evidence map›Paper›PMID 35444619›Full record

ArticleFrontiers in microbiology2022

Picorna-Like Viruses of the Havel River, Germany.

Roland Zell, Marco Groth, Lukas Selinka, Hans-Christoph Selinka

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. 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
3.1field-weighted citation impact, top 9% 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, 21 citations in OpenAlex.

  1. Exploring the Virome ofPathogens (Basel, Switzerland) · 2026
    Article
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  4. Evolutionary features of new picorna-like viruses inCurrent research in parasitology & vector-borne diseases · 2025
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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

4 authors at 4 institutions in 1 country.

Roland ZellSection of Experimental Virology, Institute for Medical Microbiology, Jena University Hospital, Friedrich Schiller University, Jena, Germany.
Marco GrothCF DNA Sequencing, Leibniz Institute on Aging, Fritz Lipmann Institute, Jena, Germany.
Lukas SelinkaSection of Experimental Virology, Institute for Medical Microbiology, Jena University Hospital, Friedrich Schiller University, Jena, Germany.
Hans-Christoph SelinkaSection II 1.4 Microbiological Risks, Department of Environmental Hygiene, German Environment Agency, Berlin, Germany.
Friedrich Schiller University Jena · DEGerman Environment Agency · DEJena University Hospital · DELeibniz Institute on Aging - Fritz Lipmann Institute (FLI) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To improve the understanding of the virome diversity of riverine ecosystems in metropolitan areas, a metagenome analysis was performed with water collected in June 2018 from the river Havel in Berlin, Germany. After enrichment of virus particles and RNA extraction, paired-end Illumina sequencing was conducted and assignment to virus groups and families was performed. This paper focuses on picorna-like viruses, the most diverse and abundant group of viruses with impact on human, animal, and environmental health. Here, we describe altogether 166 viral sequences ranging in size from 1 to 11.5 kb. The 71 almost complete genomes are comprised of one candidate iflavirus, one picornavirus, two polycipiviruses, 27 marnaviruses, 27 dicistro-like viruses, and 13 untypeable viruses. Many partial picorna-like virus sequences up to 10.2 kb were also investigated. The sequences of the Havel picorna-like viruses represent genomes of seven of eight so far known

Indexed as

metagenomicphylogenetic analysispicorna-like virusesPicornaviralesriverine ecosystemsRNA virusesviromes

Identifiers

PMID35444619
PMCPMC9013969
OpenAlexW4225574096

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.