Back

Bovine H5N1 influenza viruses have adapted to more efficiently use receptors abundant in cattle

Hassard, J. A.; Yang, J.; Dadonaite, B.; Pekar, J. E.; Yu, J.; Richardson, S. A. S.; Pinto, R. M.; Ramirez Valdez, K.; Lemey, P.; Quantrill, J. L.; Xue, J.; Masonou, T.; Case, K.-M.; Ajeian, J.; Woodall, M. N. J.; Ross, R. A.; Hudson, N.; Zhong, K.; Cao, H.; Jones, S.; Klim, H. J.; Wasik, B. R.; Dermawan, D. N.; Sadeyen, J.-R.; Werling, D.; Yaffy, D.; James, J.; Nunez, A.; Digard, P.; Brown, I. H.; Goldhill, D. H.; Murcia, P. R.; Smith, C. M.; Liu, Y.; Bloom, J. D.; Iqbal, M.; Barclay, W. S.; Haslam, S. M.; Peacock, T. P.

2026-04-06 microbiology
10.64898/2026.04.02.715584 bioRxiv
Show abstract

Sustained mammal-to-mammal transmission of high pathogenicity H5N1 avian influenza viruses is reshaping the host range of these pathogens. One of the longest-running mammalian transmission chains involves the B3.13 genotype circulating in U.S. dairy cattle which was detected in early 2024. Genomic analyses revealed selection and rapid fixation of haemagglutinin mutations D104G and V147M. We demonstate, via glycomic profiling, that bovine tissues, including the mammary gland, are enriched in N- and O-linked glycans capped with N-glycolylneuraminic acid (NeuGc), a sialic acid absent in humans and birds, which instead express only N-acetylneuraminic acid (NeuAc). Early cattle H5 viruses poorly recognized NeuGc, but D104G and V147M enabled efficient engagement of both NeuAc- and NeuGc-containing receptors. These mutations enhanced replication in bovine mammary tissue without major attenuation of replication in human lung and primary nasal epithelial cells. NeuGc-driven receptor adaptation therefore promotes viral fitness in cattle while potentially limiting immediate zoonotic risk. Deep mutational scanning further identified alternative haemagglutinin substitutions that confer NeuGc usage and represent surveillance markers for emerging cattle H5 lineages.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Cell
370 papers in training set
Top 0.1%
18.9%
2
Nature Communications
4913 papers in training set
Top 7%
18.1%
3
Science
429 papers in training set
Top 1%
14.0%
50% of probability mass above
4
Nature
575 papers in training set
Top 2%
12.2%
5
Nature Microbiology
133 papers in training set
Top 0.6%
4.7%
6
Cell Host & Microbe
113 papers in training set
Top 2%
3.0%
7
Nature Ecology & Evolution
113 papers in training set
Top 2%
2.7%
8
Nature Medicine
117 papers in training set
Top 1%
2.5%
9
Science Advances
1098 papers in training set
Top 13%
2.0%
10
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 29%
2.0%
11
Immunity
58 papers in training set
Top 3%
1.6%
12
Molecular Cell
308 papers in training set
Top 7%
1.6%
13
Cell Reports
1338 papers in training set
Top 26%
1.4%
14
PLOS Biology
408 papers in training set
Top 12%
1.4%
15
Science Translational Medicine
111 papers in training set
Top 4%
1.3%
16
The EMBO Journal
267 papers in training set
Top 4%
0.9%
17
Current Biology
596 papers in training set
Top 13%
0.9%
18
The Lancet Infectious Diseases
71 papers in training set
Top 3%
0.8%
19
Nature Structural & Molecular Biology
218 papers in training set
Top 5%
0.7%
20
eLife
5422 papers in training set
Top 59%
0.7%
21
Cell Reports Medicine
140 papers in training set
Top 9%
0.7%
22
Cell Systems
167 papers in training set
Top 14%
0.6%
23
PLOS Pathogens
721 papers in training set
Top 10%
0.6%