Evidence map›Paper›PMID 37395407›Full record

ArticleNucleic acids research2023

G-quadruplexes in the evolution of hepatitis B virus.

Václav Brázda, Michaela Dobrovolná, Natália Bohálová, Jean-Louis Mergny

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
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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.

Václav BrázdaInstitute of Biophysics of the Czech Academy of Sciences, Brno, Czech Republic.ORCID 0000-0003-2837-4226
Michaela DobrovolnáInstitute of Biophysics of the Czech Academy of Sciences, Brno, Czech Republic.
Natália BohálováInstitute of Biophysics of the Czech Academy of Sciences, Brno, Czech Republic.
Jean-Louis MergnyInstitute of Biophysics of the Czech Academy of Sciences, Brno, Czech Republic.ORCID 0000-0003-3043-8401

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis B virus (HBV) is one of the most dangerous human pathogenic viruses found in all corners of the world. Recent sequencing of ancient HBV viruses revealed that these viruses have accompanied humanity for several millenia. As G-quadruplexes are considered to be potential therapeutic targets in virology, we examined G-quadruplex-forming sequences (PQS) in modern and ancient HBV genomes. Our analyses showed the presence of PQS in all 232 tested HBV genomes, with a total number of 1258 motifs and an average frequency of 1.69 PQS per kbp. Notably, the PQS with the highest G4Hunter score in the reference genome is the most highly conserved. Interestingly, the density of PQS motifs is lower in ancient HBV genomes than in their modern counterparts (1.5 and 1.9/kb, respectively). This modern frequency of 1.90 is very close to the PQS frequency of the human genome (1.93) using identical parameters. This indicates that the PQS content in HBV increased over time to become closer to the PQS frequency in the human genome. No statistically significant differences were found between PQS densities in HBV lineages found in different continents. These results, which constitute the first paleogenomics analysis of G4 propensity, are in agreement with our hypothesis that, for viruses causing chronic infections, their PQS frequencies tend to converge evolutionarily with those of their hosts, as a kind of 'genetic camouflage' to both hijack host cell transcriptional regulatory systems and to avoid recognition as foreign material.

Indexed as

G-QuadruplexesHepatitis B virusBiological EvolutionGenome, HumanGenomicsHumansPaleontology

Identifiers

PMID37395407
PMCPMC10415126

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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.