Selection analysis identifies unusual clustered mutational changes in Omicron lineage BA.1 that likely impact Spike function
Martin, D. P.; Lytras, S.; Lucaci, A. G.; Maier, W.; Gruning, B.; Shank, S. D.; Weaver, S.; MacLean, O. S.; Orton, R. J.; Lemey, P.; Boni, M. F.; Tegally, H.; Harkins, G. W.; Scheepers, C.; Bhiman, J. N.; Everatt, J.; Amoako, D. G.; San, J. E.; Giandhari, J.; Sigal, A.; NGS-SA, ; Williamson, C.; Hsiao, N.-y.; von Gottberg, A.; De Klerk, A.; Shafer, R. W.; Robertson, D. L.; Wilkinson, R. J.; Sewell, B. T.; Lessells, R.; Nekrutenko, A.; Greaney, A. J.; Starr, T. N.; Bloom, J. D.; Murrell, B.; Wilkinson, E.; Gupta, R. K.; de Oliveira, T.; Kosakovsky Pond, S. L.
Show abstract
Among the 30 non-synonymous nucleotide substitutions in the Omicron S-gene are 13 that have only rarely been seen in other SARS-CoV-2 sequences. These mutations cluster within three functionally important regions of the S-gene at sites that will likely impact (i) interactions between subunits of the Spike trimer and the predisposition of subunits to shift from down to up configurations, (ii) interactions of Spike with ACE2 receptors, and (iii) the priming of Spike for membrane fusion. We show here that, based on both the rarity of these 13 mutations in intrapatient sequencing reads and patterns of selection at the codon sites where the mutations occur in SARS-CoV-2 and related sarbecoviruses, prior to the emergence of Omicron the mutations would have been predicted to decrease the fitness of any genomes within which they occurred. We further propose that the mutations in each of the three clusters therefore cooperatively interact to both mitigate their individual fitness costs, and adaptively alter the function of Spike. Given the evident epidemic growth advantages of Omicron over all previously known SARS-CoV-2 lineages, it is crucial to determine both how such complex and highly adaptive mutation constellations were assembled within the Omicron S-gene, and why, despite unprecedented global genomic surveillance efforts, the early stages of this assembly process went completely undetected.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- An evolutionary portrait of the progenitor SARS-CoV-2 and its dominant offshoots in COVID-19 pandemic 95%
- Purifying selection determines the short-term time dependency of evolutionary rates in SARS-CoV-2 and pH1N1 influenza 95%
- Gene transfer among viruses substantially contributes to gene gain of giant viruses 95%
Similar papers in this journal
- Parallel Evolution in the Emergence of Highly Pathogenic Avian Influenza A Viruses 97%
- SARS-CoV-2 within-host population expansion, diversification and adaptation in zoo tigers, lions and hyenas 96%
- Polymerase mutations underlie early adaptation of H5N1 influenza virus to dairy cattle and other mammals. 96%
Similar papers in this journal
- Genetic consequences of effective and suboptimal dosing with mutagenic drugs in a hamster model of SARS-CoV-2 infection 96%
- Natural variation in neuraminidase activity influences the evolutionary potential of the seasonal H1N1 lineage hemagglutinin 95%
- Unrecognized introductions of SARS-CoV-2 into the state of Georgia shaped the early epidemic 95%
Similar papers in this journal
- A large effective population size for within-host influenza virus infection 96%
- Antigenic evolution of human influenza H3N2 neuraminidase is constrained by charge balancing 95%
- Ribosome profiling of porcine reproductive and respiratory syndrome virus reveals novel features of viral gene expression 95%
Similar papers in this journal
- Variable rates of SARS-CoV-2 evolution in chronic infections 96%
- In depth sequencing of a serially sampled household cohort reveals the within-host dynamics of Omicron SARS-CoV-2 and rare selection of novel spike variants 96%
- SARS-CoV-2 outbreak in a tri-national urban area is dominated by a B.1 lineage variant linked to mass gathering events 94%
"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.