Literature DB >> 30066273

Evolution and dynamics of the pandemic H1N1 influenza hemagglutinin protein from 2009 to 2017.

Hebah A Al Khatib1, Asmaa A Al Thani2, Hadi M Yassine3.   

Abstract

The emergence of swine-origin pandemic H1N1 (pH1N1) in 2009 invigorated extensive surveillance programs worldwide which have resulted in the deposition of large numbers of H1N1 sequences to Genbank. In the present study, we report on global evolution and dynamics of the pandemic H1N1 influenza Hemagglutinin (HA) protein in viruses isolated from three different continents (North America, Europe and Asia) during the period between April 2009 until April 2017. Close to 2000 HA full protein sequences were downloaded from the Influenza Research Database of the NCBI and analyzed using DNAStar to run an alignment, the web-based NetNglyc to predict N-Glycosylation sites and finally, the BEAST software package to calculate evolution and substitution rates. Our analysis improves upon other published papers in that we report on frequencies, dynamics and impact of HA mutations in pH1N1 viruses isolated from three continents during the past decade, as well as the evolution rate and site-specific selection pressures. Sequence based analysis demonstrated substantial changes in the HA protein over the last decade. Results showed that the HA gene is under negative selection (P value; HA= -2.253). The evolution rates varied among the three continents ranging from 2.36 × 10-3 in Europe to 3.18 × 10-3 in Asia. Mutations were detected at higher frequency and faster rate at the antigenic sites surrounding the receptor-binding domain (RBD), in particular, in the Sa and Sb sites. Mutations were either gradually accumulated to become fixed in currently circulating strains (D114N, S179N, S202T, S220T, I233T, K300E and E391K) or dynamic in terms of appearance and disappearance, both spatially and temporally (A203T, N458K and E508G). Some of the reported mutations have been shown to increase infection severity (D239G/N; globular head), enhance HA binding affinity to its receptor (S200P and S202T; RBD), or have deleterious effect on HA function (N458K and E508G; stem region). The continuous accumulation of mutations at the Sa site led to the gradual acquisition of glycosylation at residue 179 starting from 2015, which became a dominant feature in all strains isolated in the following years. In addition to sharing common amino acid substitutions (e.g. S179N in HA head and E516K in HA stem) with previous seasonal strains, the pattern of glycosylation acquisition/loss at 177 and 179 positions on the globular head, which are prominent features of immune escape, implicate that pH1N1 might follow a similar evolution trend as the SC1918 pandemic virus.

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Year:  2018        PMID: 30066273     DOI: 10.1007/s00705-018-3962-z

Source DB:  PubMed          Journal:  Arch Virol        ISSN: 0304-8608            Impact factor:   2.574


  7 in total

1.  Mutation in Hemagglutinin Antigenic Sites in Influenza A pH1N1 Viruses from 2015-2019 in the United States Mountain West, Europe, and the Northern Hemisphere.

Authors:  Craig H Decker; Naomi Rapier-Sharman; Brett E Pickett
Journal:  Genes (Basel)       Date:  2022-05-19       Impact factor: 4.141

2.  The Molecular Basis for Antigenic Drift of Human A/H2N2 Influenza Viruses.

Authors:  M Linster; E J A Schrauwen; S van der Vliet; D F Burke; P Lexmond; T M Bestebroer; D J Smith; S Herfst; B F Koel; R A M Fouchier
Journal:  J Virol       Date:  2019-04-03       Impact factor: 5.103

3.  In Vitro Characterization of the Carbohydrate-Binding Agents HHA, GNA, and UDA as Inhibitors of Influenza A and B Virus Replication.

Authors:  Evelien Vanderlinden; Nathalie Van Winkel; Lieve Naesens; Els J M Van Damme; Leentje Persoons; Dominique Schols
Journal:  Antimicrob Agents Chemother       Date:  2021-02-17       Impact factor: 5.191

4.  Highly sensitive electrochemical biosensor based on redox - active monolayer for detection of anti-hemagglutinin antibodies against swine-origin influenza virus H1N1 in sera of vaccinated mice.

Authors:  Edyta Mikuła; Cristiane Erdmann Silva; Edyta Kopera; Konrad Zdanowski; Jerzy Radecki; Hanna Radecka
Journal:  BMC Vet Res       Date:  2018-11-06       Impact factor: 2.741

5.  Altering Intracellular Localization of the RNA Interference Factors by Influenza A Virus Non-structural Protein 1.

Authors:  Hua Wang; Zhonghui Tian; Yan Xu; Qi Wang; Shou-Wei Ding; Yang Li
Journal:  Front Microbiol       Date:  2020-11-12       Impact factor: 5.640

6.  Epidemiological and genetic characteristics of influenza virus and the effects of air pollution on laboratory-confirmed influenza cases in Hulunbuir, China, from 2010 to 2019.

Authors:  Bing Lu; Yingchen Wang; Zhansong Zhu; Zhe Zhang; Tuo Dong; Falong Li; Ya Gao; Xiqiao Du; Zhangyi Qu
Journal:  Epidemiol Infect       Date:  2020-06-29       Impact factor: 2.451

7.  Inter- Versus Intra-Host Sequence Diversity of pH1N1 and Associated Clinical Outcomes.

Authors:  Hebah A Al Khatib; Muna A Al Maslamani; Peter V Coyle; I Richard Thompson; Elmoubasher A Farag; Asmaa A Al Thani; Hadi M Yassine
Journal:  Microorganisms       Date:  2020-01-17
  7 in total

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