Back

The cow udder is a potential mixing vessel for influenza A viruses

Pinto, R. M.; Sharp, C. P.; Beeson, M.; Pankaew, N.; Hassard, J. A.; Moxom, A.; Magill, C.; Tuck, L.; Meek, S.; Lee, H. M.; Jensen, K.; Dry, I.; Melo, P.; Yang, J.; Raut, A. A.; Mishra, A.; Fitzgerald, J. R.; de Wit, S.; Hope, J. C.; Stevens, J.; Burdon, T.; Sutton, K.; Esteves, C. L.; Donadeu, F. X.; Peacock, T. P.; Brown, I.; Barclay, W. S.; Goldhill, D. H.; Iqbal, M.; Murcia, P.; Haslam, S. M.; Gaunt, E. R.; Digard, P.

2025-09-01 microbiology
10.1101/2025.08.29.673079 bioRxiv
Show abstract

The incursion of high pathogenicity avian influenza A virus (IAV) into US dairy cows is unprecedented in the era of molecular diagnosis and pathogen sequencing. This raises questions over the likelihood of further outbreaks and whether dairy cattle could be a "mixing vessel" for novel strains of IAV. Using a panel of BSL2-safe reassortant viruses representing clade 2.3.4.4b H5 epizootic lineages circulating since 2020, we found that a cow B3.13 isolate displayed enhanced replication in cow mammary gland cells, along with increased viral polymerase activity and stronger interferon antagonism in cow cells compared to an earlier EA-2020-C genotype virus. However, multiple avian and mammalian IAV strains, including other clade 2.3.4.4b high pathogenicity genotypes, were replication competent in bovine cells, particularly those of the mammary gland, suggesting that there is a diverse circulating IAV pool with the potential to infect cows. Moreover, we show that cow mammary cells co-express -2,3 and -2,6 - linked sialic acids, and are susceptible to co-infection with human and avian IAVs. We conclude that the US cow influenza outbreak does not simply reflect a unique adaptation of the B3.13 genotype virus; rather, the bovine udder represents a permissive niche for IAV and a plausible site for reassortment, underscoring its potential role in generating novel influenza viruses with pandemic risk.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.