Influenza passaging annotations: what they tell us and why we should listen

Details

• Alternative Title:
  Virus Evol
• Personal Author:
  DuPai, Cory D ; McWhite, Claire D ; Smith, Catherine B ; Garten, Rebecca ; Maurer-Stroh, Sebastian ; Wilke, Claus O
• Description:
  Influenza databases now contain over 100,000 worldwide sequence records for strains influenza A(H3N2) and A(H1N1). Although these data facilitate global research efforts and vaccine development practices, they also represent a stumbling block for researchers because of their confusing and heterogeneous annotation. Unclear passaging annotations are particularly concerning given the recent work highlighting the presence and risk of false adaptation signals introduced by cell passaging of viral isolates. With this in mind, we aim to provide a concise outline of why viruses are passaged, a clear overview of passaging annotation nomenclature currently in use, and suggestions for a standardized nomenclature going forward. Our hope is that this summary will empower researchers and clinicians alike to more easily understand a virus sample's passage history when analyzing influenza sequences.
• Subjects:
  H1N1 H3N2 Influenza Virus Passaging Adaptations Reflections
• Source:
  Virus Evol. 2019; 5(1)
• Pubmed ID:
  31275610
• Pubmed Central ID:
  PMC6599686
• Document Type:
  Journal Article
• Volume:
  5
• Issue:
  1
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:fd66ebab8ad0c8122eed0c36c169548b55b0259f5df5d6e4a700bc6d15dbe982
• Download URL:
  https://stacks.cdc.gov/view/cdc/89328/cdc_89328_DS1.pdf
• File Type:
  [PDF - 354.67 KB ]