Genetic reassortment and diversification of host specificity have driven evolutionary trajectories of lineages of panzootic H5N1 influenza
Harvey, W. T.; Pinto, R. M.; Brown, M. D.; Lu, L.; Quantrill, J. L.; Yang, J.; Pankaew, N.; Nel, M.; Baxter, J.; Byrne, A. M. P.; Kapczynski, D. R.; Iqbal, M.; James, J.; Banyard, A. C.; Brown, I.; Barclay, W.; Peacock, T. P.; Digard, P.; Lycett, S. J.
Show abstract
Since 2021, subclade 2.3.4.4b A(H5N1) high pathogenicity avian influenza (HPAI) viruses have undergone changes in ecology and epidemiology, causing a panzootic of unprecedented scale in wild and domestic birds with spill-over infections and perceptible transmission in a range of mammalian species, raising concern over zoonotic potential. HPAI viruses readily exchange gene segments with low pathogenicity avian influenza viruses via reassortment, a mechanism that facilitates pronounced phenotypic change. Observations suggest changes in the seasonality and host range of panzootic viruses, however, data on the role of reassortment in determining such features are limited. Using phylodynamic approaches, we describe the emergence of the panzootic lineage and using a novel global genotype classification system we describe the subsequent emergence and global structuring of genotypes generated by reassortment. Focusing on evolutionary dynamics in Europe, we show reassortment has produced high fitness genotypes with enhanced capacity for transmission and further we show such advantages can be host-dependent, contrasting successful generalist genotypes with a specialist lineage (EA-2022-BB) adapted to birds of the order Charadriiformes. Experimental investigation of NS1-mediated shutoff indicates this Charadriiformes-specialist does not inhibit host cellular gene expression and hamper the defences of more typical hosts such as water- and land-fowl. We attribute this primarily to variation at position 127 of the NS1 protein. Our results emphasise that reassortment has driven phenotypic change, affected viral fitness, and caused diversification of host specificity and seasonality. Such factors should be considered in studies that seek to identify drivers of HPAI spread and map spillover risk. Additionally, relaxation of host specialisation, ecological diversification, and potential endemicity in atypical host populations present new reassortment opportunities that could result in further novel phenotypes.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Limited intra-host diversity and background evolution accompany 40 years of canine parvovirus host adaptation and spread 98%
- Influenza Viruses in Mice: Deep Sequencing Analysis of Serial Passage and Effects of Sialic Acid Structural Variation 97%
- Long-term serial passaging of SARS-CoV-2 reveals signatures of convergent evolution 96%
Similar papers in this journal
- Evolutionary features of a prolific subtype of avian influenza A virus in European waterfowl 96%
- Genome data artifacts and functional studies of deletion repair in the BA.1 SARS-CoV-2 spike protein 96%
- Identification of H3N2 NA and PB1-F2 genetic variants and their association with disease symptoms in the 2014-15 influenza season 96%
Similar papers in this journal
- Evaluating the fitness of PA/I38T-substituted influenza A viruses with reduced baloxavir susceptibility in a competitive mixtures ferret model 97%
- Favipiravir-resistant influenza A virus shows potential for transmission 97%
- In vitro evolution of Remdesivir resistance reveals genome plasticity of SARS-CoV-2 97%
Similar papers in this journal
- Population immunity to clade 2.3.4.4b H5N1 is dominated by anti-neuraminidase antibodies 96%
- Imprinted anti-hemagglutinin and anti-neuraminidase antibody responses after childhood infections of A(H1N1) and A(H1N1)pdm09 influenza viruses 96%
- Differential alphavirus defective RNA diversity between intracellular and encapsidated compartments is driven by subgenomic recombination events 96%
Similar papers in this journal
"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.