Evidence map›Paper›PMID 28794221›Full record

ArticleProceedings. Biological sciences2017

Revised time scales of RNA virus evolution based on spatial information.

Moritz Saxenhofer, Vanessa Weber de Melo, Rainer G Ulrich, Gerald Heckel

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 28 citations in OpenAlex.

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  13. Genetic Diversity ofViruses · 2021
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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 2 institutions in 2 countries.

Moritz SaxenhoferComputational and Molecular Population Genetics, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.
Vanessa Weber de MeloComputational and Molecular Population Genetics, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.
Rainer G UlrichFriedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Novel and Emerging Infectious Diseases, Greifswald-Insel Riems, Germany.
Gerald HeckelComputational and Molecular Population Genetics, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland gerald.heckel@iee.unibe.ch.ORCID http://orcid.org/0000-0002-0162-323X
University of Bern · CHFriedrich-Loeffler-Institut · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The time scales of pathogen evolution are of major concern in the context of public and veterinary health, epidemiology and evolutionary biology. Dating the emergence of a pathogen often relies on estimates of evolutionary rates derived from nucleotide sequence data. For many viruses, this has yielded estimates of evolutionary origins only a few hundred years in the past. Here we demonstrate through the incorporation of geographical information from virus sampling that evolutionary age estimates of two European hantaviruses are severely underestimated because of pervasive mutational saturation of nucleotide sequences. We detected very strong relationships between spatial distance and genetic divergence for both Puumala and Tula hantavirus-irrespective of whether nucleotide or derived amino acid sequences were analysed. Extrapolations from these relationships dated the emergence of these viruses most conservatively to at least 3700 and 2500 years ago, respectively. Our minimum estimates for the age of these hantaviruses are ten to a hundred times older than results from current non-spatial methods, and in much better accordance with the biogeography of these viruses and their respective hosts. Spatial information can thus provide valuable insights on the deeper time scales of pathogen evolution and improve our understanding of disease emergence.

Indexed as

Evolution, MolecularAmino Acid SequenceBase SequenceOrthohantavirusPhylogenySpatial Analysisemergence datinghantavirusmutational saturationphylogeneticsvirus evolution

Identifiers

PMID28794221
PMCPMC5563803
OpenAlexW2744454524

What OpenQuestion holds

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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.