ArticleeLife2021
Antigenic evolution of human influenza H3N2 neuraminidase is constrained by charge balancing.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 37 citations in OpenAlex.
- Eco-evolutionary dynamics of pathogen immune-escape: deriving a population-level phylodynamic curve.Journal of the Royal Society, Interface · 2025Article
- Evaluating machine learning approaches for host prediction using H3 influenza genomic data.PloS one · 2025Article
- Modulation of biophysical properties of nucleocapsid protein in the mutant spectrum of SARS-CoV-2.eLife · 2024Article
- Epistasis mediates the evolution of the receptor binding mode in recent human H3N2 hemagglutinin.Nature communications · 2024Article
- Article
- Modulation of Biophysical Properties of Nucleocapsid Protein in the Mutant Spectrum of SARS-CoV-2.bioRxiv : the preprint server for biology · 2024Article
- Learning the shape of protein microenvironments with a holographic convolutional neural network.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Co-evolution of immunity and seasonal influenza viruses.Nature reviews. Microbiology · 2023Review
- Steering and controlling evolution - from bioengineering to fighting pathogens.Nature reviews. Genetics · 2023Review
- Immune response in influenza virus infection and modulation of immune injury by viral neuraminidase.Virology journal · 2023Review
- Jointly modeling deep mutational scans identifies shifted mutational effects among SARS-CoV-2 spike homologs.bioRxiv : the preprint server for biology · 2023Article
- Article
- Novelty Search Promotes Antigenic Diversity in Microbial Pathogens.Pathogens (Basel, Switzerland) · 2023Article
- Mutational fitness landscape of human influenza H3N2 neuraminidase.Cell reports · 2023Article
- Probing the biophysical constraints of SARS-CoV-2 spike N-terminal domain using deep mutational scanning.Science advances · 2022Article
- Prevalence and mechanisms of evolutionary contingency in human influenza H3N2 neuraminidase.Nature communications · 2022Article
- The evolutionary potential of influenza A virus hemagglutinin is highly constrained by epistatic interactions with neuraminidase.Cell host & microbe · 2022Article
- Biophysical Fitness Landscape of the SARS-CoV-2 Delta Variant Receptor Binding Domain.Journal of molecular biology · 2022Article
- The Antibody Response Against Neuraminidase in Human Influenza A (H3N2) Virus Infections During 2018/2019 Flu Season: Focusing on the Epitopes of 329-Frontiers in microbiology · 2022Article
- Influenza Neuraminidase Characteristics and Potential as a Vaccine Target.Frontiers in immunology · 2021Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
As one of the main influenza antigens, neuraminidase (NA) in H3N2 virus has evolved extensively for more than 50 years due to continuous immune pressure. While NA has recently emerged as an effective vaccine target, biophysical constraints on the antigenic evolution of NA remain largely elusive. Here, we apply combinatorial mutagenesis and next-generation sequencing to characterize the local fitness landscape in an antigenic region of NA in six different human H3N2 strains that were isolated around 10 years apart. The local fitness landscape correlates well among strains and the pairwise epistasis is highly conserved. Our analysis further demonstrates that local net charge governs the pairwise epistasis in this antigenic region. In addition, we show that residue coevolution in this antigenic region is correlated with the pairwise epistasis between charge states. Overall, this study demonstrates the importance of quantifying epistasis and the underlying biophysical constraint for building a model of influenza evolution.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.