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

Author:

DuPai Cory D1,McWhite Claire D12,Smith Catherine B3,Garten Rebecca3,Maurer-Stroh Sebastian45,Wilke Claus O167ORCID

Affiliation:

1. Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA

2. Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA

3. Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA

4. Biomolecular Function Discovery Division, Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore

5. Department of Biological Sciences (DBS), National University of Singapore (NUS), Singapore

6. Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA

7. Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, TX, USA

Abstract

AbstractInfluenza 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.

Funder

NIH

A*STAR HEIDI program

Publisher

Oxford University Press (OUP)

Subject

Virology,Microbiology

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