Identification of Low- and High-Impact Hemagglutinin Amino Acid Substitutions That Drive Antigenic Drift of Influenza A(H1N1) Viruses
Publication Date
April 08, 2016
Journal
PLOS Pathogens
Authors
William T. Harvey, Donald J. Benton, Victoria Gregory, James P. J. Hall, et al
Volume
12
Issue
4
Pages
e1005526
DOI
https://dx.plos.org/10.1371/journal.ppat.1005526
Publisher URL
http://journals.plos.org/plospathogens/article?id=10.1371%2Fjournal.ppat.1005526
Web of Science
000378156900022
Scopus
84964838655
Mendeley
http://www.mendeley.com/research/identification-low-highimpact-hemagglutinin-amino-acid-substitutions-drive-antigenic-drift-influenza
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Mendeley | Further Information

{"title"=>"Identification of Low- and High-Impact Hemagglutinin Amino Acid Substitutions That Drive Antigenic Drift of Influenza A(H1N1) Viruses", "type"=>"journal", "authors"=>[{"first_name"=>"William T.", "last_name"=>"Harvey", "scopus_author_id"=>"57075910000"}, {"first_name"=>"Donald J.", "last_name"=>"Benton", "scopus_author_id"=>"56428659900"}, {"first_name"=>"Victoria", "last_name"=>"Gregory", "scopus_author_id"=>"6701513435"}, {"first_name"=>"James P.J.", "last_name"=>"Hall", "scopus_author_id"=>"55353569800"}, {"first_name"=>"Rodney S.", "last_name"=>"Daniels", "scopus_author_id"=>"7202567516"}, {"first_name"=>"Trevor", "last_name"=>"Bedford", "scopus_author_id"=>"7003593301"}, {"first_name"=>"Daniel T.", "last_name"=>"Haydon", "scopus_author_id"=>"7005358824"}, {"first_name"=>"Alan J.", "last_name"=>"Hay", "scopus_author_id"=>"7201696824"}, {"first_name"=>"John W.", "last_name"=>"McCauley", "scopus_author_id"=>"7103309909"}, {"first_name"=>"Richard", "last_name"=>"Reeve", "scopus_author_id"=>"35730417600"}], "year"=>2016, "source"=>"PLoS Pathogens", "identifiers"=>{"issn"=>"15537374", "scopus"=>"2-s2.0-84964838655", "pui"=>"610216826", "doi"=>"10.1371/journal.ppat.1005526", "isbn"=>"1553-7366", "sgr"=>"84964838655", "pmid"=>"27057693"}, "id"=>"6fa19596-72bf-30eb-86c5-2d7d473c461d", "abstract"=>"Determining phenotype from genetic data is a fundamental challenge. Identification of emerging antigenic variants among circulating influenza viruses is critical to the vaccine virus selection process, with vaccine effectiveness maximized when constituents are antigenically similar to circulating viruses. Hemagglutination inhibition (HI) assay data are commonly used to assess influenza antigenicity. Here, sequence and 3-D structural information of hemagglutinin (HA) glycoproteins were analyzed together with corresponding HI assay data for former seasonal influenza A(H1N1) virus isolates (1997-2009) and reference viruses. The models developed identify and quantify the impact of eighteen amino acid substitutions on the antigenicity of HA, two of which were responsible for major transitions in antigenic phenotype. We used reverse genetics to demonstrate the causal effect on antigenicity for a subset of these substitutions. Information on the impact of substitutions allowed us to predict antigenic phenotypes of emerging viruses directly from HA gene sequence data and accuracy was doubled by including all substitutions causing antigenic changes over a model incorporating only the substitutions with the largest impact. The ability to quantify the phenotypic impact of specific amino acid substitutions should help refine emerging techniques that predict the evolution of virus populations from one year to the next, leading to stronger theoretical foundations for selection of candidate vaccine viruses. These techniques have great potential to be extended to other antigenically variable pathogens.", "link"=>"http://www.mendeley.com/research/identification-low-highimpact-hemagglutinin-amino-acid-substitutions-drive-antigenic-drift-influenza", "reader_count"=>39, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>13, "Student > Ph. D. Student"=>14, "Student > Postgraduate"=>1, "Student > Master"=>3, "Other"=>1, "Student > Bachelor"=>3, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>13, "Student > Ph. D. Student"=>14, "Student > Postgraduate"=>1, "Student > Master"=>3, "Other"=>1, "Student > Bachelor"=>3, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Engineering"=>1, "Biochemistry, Genetics and Molecular Biology"=>9, "Mathematics"=>2, "Agricultural and Biological Sciences"=>15, "Medicine and Dentistry"=>2, "Veterinary Science and Veterinary Medicine"=>2, "Chemistry"=>1, "Computer Science"=>1, "Immunology and Microbiology"=>4}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Chemistry"=>{"Chemistry"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>4}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>15}, "Computer Science"=>{"Computer Science"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>9}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>2}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>2}}, "group_count"=>3}

Scopus | Further Information

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