Prevalence and mechanisms of evolutionary contingency in human influenza H3N2 neuraminidase

Ruipeng Lei, Timothy J. C. Tan, Andrea Hernandez Garcia, Yiquan Wang, Meghan Diefenbacher, Chuyun Teo, Gopika Gopan, Zahra Tavakoli Dargani, Qi Wen Teo, Claire S. Graham, Christopher B. Brooke, Satish K. Nair and Nicholas C. Wu ()
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Ruipeng Lei: University of Illinois at Urbana-Champaign
Timothy J. C. Tan: University of Illinois at Urbana-Champaign
Andrea Hernandez Garcia: University of Illinois at Urbana-Champaign
Yiquan Wang: University of Illinois at Urbana-Champaign
Meghan Diefenbacher: University of Illinois at Urbana-Champaign
Chuyun Teo: University of Illinois at Urbana-Champaign
Gopika Gopan: University of Illinois at Urbana-Champaign
Zahra Tavakoli Dargani: University of Illinois at Urbana-Champaign
Qi Wen Teo: University of Illinois at Urbana-Champaign
Claire S. Graham: University of Illinois at Urbana-Champaign
Christopher B. Brooke: University of Illinois at Urbana-Champaign
Satish K. Nair: University of Illinois at Urbana-Champaign
Nicholas C. Wu: University of Illinois at Urbana-Champaign

Nature Communications, 2022, vol. 13, issue 1, 1-12

Abstract: Abstract Neuraminidase (NA) of human influenza H3N2 virus has evolved rapidly and been accumulating mutations for more than half-century. However, biophysical constraints that govern the evolutionary trajectories of NA remain largely elusive. Here, we show that among 70 natural mutations that are present in the NA of a recent human H3N2 strain, >10% are deleterious for an ancestral strain. By mapping the permissive mutations using combinatorial mutagenesis and next-generation sequencing, an extensive epistatic network is revealed. Biophysical and structural analyses further demonstrate that certain epistatic interactions can be explained by non-additive stability effect, which in turn modulates membrane trafficking and enzymatic activity of NA. Additionally, our results suggest that other biophysical mechanisms also contribute to epistasis in NA evolution. Overall, these findings not only provide mechanistic insights into the evolution of human influenza NA and elucidate its sequence-structure-function relationship, but also have important implications for the development of next-generation influenza vaccines.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34060-8

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DOI: 10.1038/s41467-022-34060-8

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