Evidence map›Paper›PMID 25543297›Full record

ArticleVirus genes2015

Complete genome of a Puumala virus strain from Central Europe.

Hanan Sheikh Ali, Stephan Drewes, Vanessa Weber de Melo, Mathias Schlegel, Jona Freise, Martin H Groschup, Gerald Heckel, Rainer G Ulrich

Abstract read
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In one paragraph

Article in Virus genes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  7. Genetic Diversity ofViruses · 2021
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  8. Orthohantaviruses, Emerging Zoonotic Pathogens.Pathogens (Basel, Switzerland) · 2020
    Review
  9. Article
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  12. Characterization of theFrontiers in pharmacology · 2019
    Article
  13. Article
  14. Article
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

8 authors at 3 institutions in 3 countries.

Hanan Sheikh AliFriedrich-Loeffler-Institut, Federal Research Institute for Animal Health, OIE Collaborating Centre for Zoonoses in Europe, Institute for Novel and Emerging Infectious Diseases, Südufer 10, 17493, Greifswald - Insel Riems, Germany.
Stephan Drewes
Vanessa Weber de Melo
Mathias Schlegel
Jona Freise
Martin H Groschup
Gerald Heckel
Rainer G Ulrich
Friedrich-Loeffler-Institut · DEUniversity of Bern · CHLower Saxony State Office for Consumer Protection and Food Safety · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Puumala virus (PUUV) is one of the predominant hantavirus species in Europe causing mild to moderate cases of haemorrhagic fever with renal syndrome. Parts of Lower Saxony in north-western Germany are endemic for PUUV infections. In this study, the complete PUUV genome sequence of a bank vole-derived tissue sample from the 2007 outbreak was determined by a combined primer-walking and RNA ligation strategy. The S, M and L genome segments were 1,828, 3,680 and 6,550 nucleotides in length, respectively. Sliding-window analyses of the nucleotide sequences of all available complete PUUV genomes indicated a non-homogenous distribution of variability with hypervariable regions located at the 3'-ends of the S and M segments. The overall similarity of the coding genome regions to the other PUUV strains ranged between 80.1 and 84.7 % at the level of the nucleotide sequence and between 89.5 and 98.1 % for the deduced amino acid sequences. In comparison to the phylogenetic trees of the complete coding sequences, trees based on partial segments revealed a general drop in phylogenetic support and a lower resolution. The Astrup strain S and M segment sequences showed the highest similarity to sequences of strains from geographically close sites in the Osnabrück Hills region. In conclusion, a primer-walking-mediated strategy resulted in the determination of the first complete nucleotide sequence of a PUUV strain from Central Europe. Different levels of variability along the genome provide the opportunity to choose regions for analyses according to the particular research question, e.g., large-scale phylogenetics or within-host evolution.

Indexed as

Genome, ViralBase SequenceEuropeHemorrhagic Fever with Renal SyndromeHumansMolecular Sequence DataOpen Reading FramesPhylogenyPuumala virusViral ProteinsViral Proteins

Identifiers

PMID25543297
OpenAlexW1976796925

What OpenQuestion holds

Textmetadata
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.