Evidence map›Paper›PMID 25880111›Full record

ArticleVirology2015

Ebolavirus is evolving but not changing: No evidence for functional change in EBOV from 1976 to the 2014 outbreak.

Abayomi S Olabode, Xiaowei Jiang, David L Robertson, Simon C Lovell

Abstract read
In one paragraph

Article in Virology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Abayomi S OlabodeComputational and Evolutionary Biology, Faculty of Life Sciences, University of Manchester, Manchester, UK.
Xiaowei JiangComputational and Evolutionary Biology, Faculty of Life Sciences, University of Manchester, Manchester, UK; Department of Genetics, University of Cambridge, Cambridge, UK.
David L RobertsonComputational and Evolutionary Biology, Faculty of Life Sciences, University of Manchester, Manchester, UK. Electronic address: david.robertson@manchester.ac.uk.
Simon C LovellComputational and Evolutionary Biology, Faculty of Life Sciences, University of Manchester, Manchester, UK. Electronic address: simon.lovell@manchester.ac.uk.

Funding

Medical Research Council G1001806Medical Research Council G1001806/1Wellcome TrustWellcome Trust 097820/Z/11/B
6 · The paper itself

Abstract

The 2014 epidemic of Ebola virus disease (EVD) has had a devastating impact in West Africa. Sequencing of ebolavirus (EBOV) from infected individuals has revealed extensive genetic variation, leading to speculation that the virus may be adapting to humans, accounting for the scale of the 2014 outbreak. We computationally analyze the variation associated with all EVD outbreaks, and find none of the amino acid replacements lead to identifiable functional changes. These changes have minimal effect on protein structure, being neither stabilizing nor destabilizing, are not found in regions of the proteins associated with known functions and tend to cluster in poorly constrained regions of proteins, specifically intrinsically disordered regions. We find no evidence that the difference between the current and previous outbreaks is due to evolutionary changes associated with transmission to humans. Instead, epidemiological factors are likely to be responsible for the unprecedented spread of EVD.

Indexed as

Disease OutbreaksEvolution, MolecularGenetic VariationAfrica, WesternEbolavirusHemorrhagic Fever, EbolaHumansMutation, MissenseViral ProteinsViral ProteinsAdaptationEbolaEvolutionProtein functionProtein structure

Identifiers

PMID25880111
PMCPMC4503884

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.