Influenza Virus Sequence Feature Variant Type Analysis: Evidence of a Role for NS1 in Influenza Virus Host Range Restriction

Author:

Noronha Jyothi M.1,Liu Mengya2,Squires R. Burke1,Pickett Brett E.1,Hale Benjamin G.3,Air Gillian M.4,Galloway Summer E.5,Takimoto Toru6,Schmolke Mirco3,Hunt Victoria1,Klem Edward7,García-Sastre Adolfo389,McGee Monnie2,Scheuermann Richard H.110

Affiliation:

1. Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA

2. Department of Statistical Science, Southern Methodist University, Dallas, Texas, USA

3. Department of Microbiology, Mount Sinai School of Medicine, New York, New York, USA

4. Department of Biochemistry & Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA

5. Emory University School of Medicine, Atlanta, Georgia, USA

6. Department of Microbiology and Immunology, University of Rochester School of Medicine, Rochester, New York, USA

7. Northrop Grumman Health Solutions, Rockville Maryland, USA

8. Department of Medicine, Division of Infectious Diseases, Mount Sinai School of Medicine, New York, New York, USA

9. Global Health and Emerging Pathogens Institute, Mount Sinai School of Medicine, New York, New York, USA

10. Division of Biomedical Informatics, University of Texas Southwestern Medical Center, Dallas, Texas, USA

Abstract

ABSTRACT Genetic drift of influenza virus genomic sequences occurs through the combined effects of sequence alterations introduced by a low-fidelity polymerase and the varying selective pressures experienced as the virus migrates through different host environments. While traditional phylogenetic analysis is useful in tracking the evolutionary heritage of these viruses, the specific genetic determinants that dictate important phenotypic characteristics are often difficult to discern within the complex genetic background arising through evolution. Here we describe a novel influenza virus sequence feature variant type (Flu-SFVT) approach, made available through the public Influenza Research Database resource ( www.fludb.org ), in which variant types (VTs) identified in defined influenza virus protein sequence features (SFs) are used for genotype-phenotype association studies. Since SFs have been defined for all influenza virus proteins based on known structural, functional, and immune epitope recognition properties, the Flu-SFVT approach allows the rapid identification of the molecular genetic determinants of important influenza virus characteristics and their connection to underlying biological functions. We demonstrate the use of the SFVT approach to obtain statistical evidence for effects of NS1 protein sequence variations in dictating influenza virus host range restriction.

Publisher

American Society for Microbiology

Subject

Virology,Insect Science,Immunology,Microbiology

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