Evidence map›Paper›PMID 42363877›Full record

ArticleJournal of virology2026

Increased or decreased numbers of CpG dinucleotide motifs in the genome of influenza A virus do not affect

Balasubramanian Susma, Monique Spronken, Stefan van Nieuwkoop, Bernike Kalverda, Alexander P Gultyaev, Ron A M Fouchier, Bernadette G van den Hoogen

Abstract read
In one paragraph

Article in Journal of virology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Balasubramanian SusmaDepartment of Viroscience, Erasmus Medical Center, Rotterdam, the Netherlands.
Monique SpronkenDepartment of Viroscience, Erasmus Medical Center, Rotterdam, the Netherlands.
Stefan van NieuwkoopDepartment of Viroscience, Erasmus Medical Center, Rotterdam, the Netherlands.
Bernike KalverdaDepartment of Viroscience, Erasmus Medical Center, Rotterdam, the Netherlands.
Alexander P GultyaevDepartment of Viroscience, Erasmus Medical Center, Rotterdam, the Netherlands.
Ron A M FouchierDepartment of Viroscience, Erasmus Medical Center, Rotterdam, the Netherlands.ORCID 0000-0001-8095-2869
Bernadette G van den HoogenDepartment of Viroscience, Erasmus Medical Center, Rotterdam, the Netherlands.ORCID 0000-0003-1996-8559

Funding

Horizon 2020 Framework Programme 813343
6 · The paper itself

Abstract

Cytosine-phosphate-guanine (CpG) dinucleotide motifs are the most underrepresented motifs in RNA virus genomes, including those of the influenza A viruses (IAV). Previous studies have indicated that increasing the number of CpG motifs in IAV genomes negatively impacts viral replication. However, outcomes of these studies have been inconsistent, most likely due to variations in experimental designs. Here, the impact of altered numbers of CpG motifs in the IAV genome was investigated by carefully designing mutants with either increased or decreased frequencies of CpG motifs. Importantly, CpG mutations were excluded from regions essential for viral replication, such as predicted RNA secondary structures and alternative open reading frames, and only mutations naturally occurring in viral isolates were introduced. The resulting mutant viruses showed no significant differences in replication efficiency in human respiratory epithelial cells, nor in their ability to activate the innate immune response. Furthermore, after repeated passage in both human respiratory epithelial (A549) and MDCK cells, the introduced mutations remained stable, indicating no selection pressure on CpG motifs

Indexed as

CpG IslandsGenome, ViralInfluenza A virusA549 CellsAnimalsDinucleoside PhosphatesDogsEpithelial CellsHumansImmunity, InnateInfluenza, HumanMadin Darby Canine Kidney CellsMutationPhenotypeRNA ReplicationRNA, ViralCpG dinucleotideDinucleoside PhosphatesRNA, ViralCpG motifsevolutionary pressureinfluenza virus

Identifiers

PMID42363877
PMCPMC13386996

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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.