Evidence map›Paper›PMID 22427709›Full record

ArticleMolecular biology and evolution2012

Detecting patches of protein sites of influenza A viruses under positive selection.

Christina Tusche, Lars Steinbrück, Alice C McHardy

Open access · hybridAbstract read
In one paragraph

Article in Molecular biology and evolution, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

22 citing papers in PubMed, 30 citations in OpenAlex.

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  8. EDEN: evolutionary dynamics within environments.Bioinformatics (Oxford, England) · 2017
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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

3 authors at 2 institutions in 1 country.

Christina TuscheMax Planck Research Group for Computational Genomics and Epidemiology, Max Planck Institute for Informatics, Saarbrücken, Germany.
Lars Steinbrück
Alice C McHardy
Heinrich Heine University Düsseldorf · DEMax Planck Institute for Informatics · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza A viruses are single-stranded RNA viruses capable of evolving rapidly to adapt to environmental conditions. Examples include the establishment of a virus in a novel host or an adaptation to increasing immunity within the host population due to prior infection or vaccination against a circulating strain. Knowledge of the viral protein regions under positive selection is therefore crucial for surveillance. We have developed a method for detecting positively selected patches of sites on the surface of viral proteins, which we assume to be relevant for adaptive evolution. We measure positive selection based on dN/dS ratios of genetic changes inferred by considering the phylogenetic structure of the data and suggest a graph-cut algorithm to identify such regions. Our algorithm searches for dense and spatially distinct clusters of sites under positive selection on the protein surface. For the hemagglutinin protein of human influenza A viruses of the subtypes H3N2 and H1N1, our predicted sites significantly overlap with known antigenic and receptor-binding sites. From the structure and sequence data of the 2009 swine-origin influenza A/H1N1 hemagglutinin and PB2 protein, we identified regions that provide evidence of evolution under positive selection since introduction of the virus into the human population. The changes in PB2 overlap with sites reported to be associated with mammalian adaptation of the influenza A virus. Application of our technique to the protein structures of viruses of yet unknown adaptive behavior could identify further candidate regions that are important for host-virus interaction.

Indexed as

Selection, GeneticAnimalsAntibody AffinityDatabases, ProteinEpitopesHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A virusModels, MolecularSwineTemplates, GeneticViral ProteinsEpitopesHemagglutinin Glycoproteins, Influenza VirusViral Proteins

Identifiers

PMID22427709
PMCPMC3408068
OpenAlexW2154158018

What OpenQuestion holds

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Registered trials

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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.