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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
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Selection analysis identifies unusual clustered mutational changes in Omicron lineage BA.1 that likely impact Spike
Darren P Martin1, Spyros Lytras2, Alexander G Lucaci3
1Institute of Infectious Diseases and Molecular Medicine, Division Of Computational Biology, Department of Integrative Biomedical Sciences, University of Cape Town, Cape Town 7701, South Africa.
Biorxiv : the Preprint Server for Biology
|January 25, 2022
Summary
The Omicron variant
Area of Science:
- Virology
- Genomics
- Molecular Biology
Background:
- The Omicron variant of SARS-CoV-2 possesses 30 non-synonymous nucleotide substitutions in its Spike (S)-gene, with 13 mutations rarely observed in previous strains.
- These mutations are concentrated in three critical functional regions of the S-gene, potentially impacting Spike protein trimerization, ACE2 receptor binding, and membrane fusion.
Approach:
- Analysis of mutation rarity in intrapatient sequencing reads.
- Examination of selection patterns at codon sites across SARS-CoV-2 and related sarbecoviruses.
- Inference of pre-emergence fitness costs and adaptive functional alterations.
Key Points:
- Prior to Omicron's emergence, these 13 mutations were predicted to decrease genomic fitness.
- The mutations likely interact cooperatively to mitigate individual fitness costs and adapt Spike function.
- The rapid spread of Omicron suggests significant adaptive advantages conferred by these S-gene mutations.
Conclusions:
- Understanding the assembly of Omicron's complex S-gene mutations is crucial for predicting future viral evolution.
- The undetected early stages of Omicron's S-gene mutation accumulation highlight gaps in global genomic surveillance.
- Further research is needed to elucidate the mechanisms behind Omicron's adaptive evolution and undetected emergence.
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