Emerging Haemagglutinin Mutations in Bovine-origin H5N1 Influenza Viruses from Humans and Cattle Retain Avian Receptor Binding with Increased Stability

Authors

Yang, J., Peacock, T. P., Valdez, K. R., Zhou, J., Klim, H. J., Sukhova, K., Sadeyen, J.-R., Brown, I. H., Barclay, W. S., Iqbal, M.

Abstract

The current H5N1 panzootic has seen an unprecedented host range expansion, including sustained circulation in US dairy cattle, detected in March 2024. By July 2026, infections had been reported on more than 1,150 dairy farms across 19 states. Although the outbreak initially centred in Texas, California has emerged as the principal focus of transmission and accounts for most human infections associated with exposure to infected dairy cattle. Continued transmission in cattle and repeated spillover into humans increase opportunities for acquisition of mammalian-adaptive mutations that could elevate zoonotic and pandemic risk. The haemagglutinin (HA) protein plays a central role in modulating virus receptor binding and airborne transmission. Here, we characterised the receptor-binding and stability phenotypes of HA mutations identified in viruses circulating in Californian dairy cattle. Receptor-binding specificity was assessed using bio-layer interferometry and pseudotype virus entry assays. All tested HA variants maintained a preference for avian-type 2,3-linked sialic acid receptors. We evaluated HA stability using fusion and thermostability assays. All mutants exhibited fusion pH values >5.5, outside the range associated with efficient airborne transmission in humans (pH 5.0-5.5). However, mutations D88G and S94N increased pH stability, with fusion pH values of 5.6 and 5.7, respectively, compared with 5.9 for wild-type HA. Viruses harbouring both mutations displayed increased thermostability. These findings demonstrate that cattle-origin H5N1 viruses retain avian-like receptor specificity despite acquiring mutations that modestly enhance HA stability. Evolution of H5N1 viruses in dairy cattle underscores the importance of genomic and phenotypic surveillance to identify mutations that may increase zoonotic risk.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 22 Aug 2026.

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