In silico analysis of local RNA secondary structure in influenza virus A, B and C finds evidence of widespread ordered stability but little evidence of significant covariation

Peterson, Jake M.; O’Leary, Collin A.; Moss, Walter N.

doi:10.1038/s41598-021-03767-x

In silico analysis of local RNA secondary structure in influenza virus A, B and C finds evidence of widespread ordered stability but little evidence of significant covariation

Dokumentdetails

ID

doi:10.1038/s41598-021-03767-x...

Autor

Peterson, Jake M. O’Leary, Collin A. Moss, Walter N.

Langue

Editor

Nature

Kategorie

Science, Humanities and Social Sciences, multidisciplinary

Jahr

2022

Auflistungsdatum

10.02.2022

Schlüsselwörter

virus covariation evidence motifs local influenza

Metrisch

Zusammenfassung

Influenza virus is a persistent threat to human health; indeed, the deadliest modern pandemic was in 1918 when an H1N1 virus killed an estimated 50 million people globally.

The intent of this work is to better understand influenza from an RNA-centric perspective to provide local, structural motifs with likely significance to the influenza infectious cycle for therapeutic targeting.

To accomplish this, we analyzed over four hundred thousand RNA sequences spanning three major clades: influenza A, B and C.

We scanned influenza segments for local secondary structure, identified/modeled motifs of likely functionality, and coupled the results to an analysis of evolutionary conservation.

We discovered 185 significant regions of predicted ordered stability, yet evidence of sequence covariation was limited to 7 motifs, where 3—found in influenza C—had higher than expected amounts of sequence covariation.

Peterson, Jake M.,O’Leary, Collin A.,Moss, Walter N., 2022, In silico analysis of local RNA secondary structure in influenza virus A, B and C finds evidence of widespread ordered stability but little evidence of significant covariation, Nature