detalle del documento
IDENTIFICACIÓN

oai:pubmedcentral.nih.gov:7823...

Tema
Research Article
Autor
Brázda, Václav Porubiaková, Otília Cantara, Alessio Bohálová, Natália Coufal, Jan Bartas, Martin Fojta, Miroslav Mergny, Jean-Louis
Langue
en
Editor

BioMed Central

Categoría

BMC Genomics

Año

2021

fecha de cotización

4/12/2023

Palabras clave
influenza genome pqs g4-ea-h1n1 genomes
Métrico

Resumen

BACKGROUND: Influenza viruses are dangerous pathogens.

Seventy-Seven genomes of recently emerged genotype 4 reassortant Eurasian avian-like H1N1 virus (G4-EA-H1N1) are currently available.

We investigated the presence and variation of potential G-quadruplex forming sequences (PQS), which can serve as targets for antiviral treatment.

RESULTS: PQS were identified in all 77 genomes.

The total number of PQS in G4-EA-H1N1 genomes was 571.

Interestingly, the number of PQS per genome in individual close relative viruses varied from 4 to 12.

PQS were not randomly distributed in the 8 segments of the G4-EA-H1N1 genome, the highest frequency of PQS being found in the NP segment (1.39 per 1000 nt), which is considered a potential target for antiviral therapy.

In contrast, no PQS was found in the NS segment.

Analyses of variability pointed the importance of some PQS; even if genome variation of influenza virus is extreme, the PQS with the highest G4Hunter score is the most conserved in all tested genomes.

G-quadruplex formation in vitro was experimentally confirmed using spectroscopic methods.

CONCLUSIONS: The results presented here hint several G-quadruplex-forming sequences in G4-EA-H1N1 genomes, that could provide good therapeutic targets.

Brázda, Václav,Porubiaková, Otília,Cantara, Alessio,Bohálová, Natália,Coufal, Jan,Bartas, Martin,Fojta, Miroslav,Mergny, Jean-Louis, 2021, G-quadruplexes in H1N1 influenza genomes, BioMed Central

Compartir

Fuente

Artículos recomendados por ES/IODE IA

Hespi: A pipeline for automatically detecting information from hebarium specimen sheets
science recognition institutional detects text-based text pipeline specimen