• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Virus Res . 5' Copyback Defective Viral Genomes are Major Component in Clinical and Non-clinical Influenza Samples

tetano

Editor, Senior Moderator
Virus Res


. 2023 Nov 17:199274.
doi: 10.1016/j.virusres.2023.199274. Online ahead of print. 5' Copyback Defective Viral Genomes are Major Component in Clinical and Non-clinical Influenza Samples

Xing Li[SUP] 1 [/SUP], Zhiping Ye[SUP] 1 [/SUP], Ewan P Plant[SUP] 2 [/SUP]



Affiliations
Abstract

Clinical samples from people with influenza disease have been analyzed to assess the presence and abundance of Defective Viral Genomes (DVGs), but these have not been assessed using the same bioinformatic pipeline. The type of DVG most described for influenza infections (deletion DVGs) differs from the most commonly described DVGs from non-segmented negative stranded viruses (5' copyback). This could be attributed to either differences between viruses or the tools used to detect and characterize DVGs. Here we analyze several NGS datasets from people infected with different types of influenza virus using the same bioinformatic pipeline. We observe that 5' copyback DVGs are prevalent in all human clinical samples but not in the cultured samples. To address this discrepancy between clinical and laboratory cultures, we infected cell culture and ferrets with an H5N8 influenza A virus (FLUAV) and analyzed the DVG composition. The results demonstrate that the DVG population is skewed toward 5' copyback DVGs in the in vivo infections and deletion DVGs in the in vitro infections. This demonstrates that there are differences in in vivo genome production and in vitro genome production, and this has implications for how the role of DVGs in clinical disease is studied. We also investigate the role the host cofactor ANP32B has in DVG production.

Keywords: ANP32; DVG; disease; immune response; influenza.

 
Back
Top