bioRxiv · 10.1101/2021.01.13.426571
Using image-based haplotype alignments to map global adaptation of SARS-CoV-2
Abstract
Quantifying evolutionary change among viral genomes is an important clinical device to track critical adaptations geographically and temporally. We built image-based haplotype-guided evolutionary inference (ImHapE) to quantify adaptations in expanding populations of non-recombining SARS-CoV-2 genomes. By combining classic population genetic summaries with image-based deep learning methods, we show that different rates of positive selection are driving evolutionary fitness and dispersal of SARS-CoV-2 globally. A 1.35-fold increase in evolutionary fitness is observed within the UK, associated with expansion of both the B.1.177 and B.1.1.7 SARS-CoV-2 lineages.
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Ouellette, T. W., Shaw, J., Awadalla, P.. 2021-01-13. Using image-based haplotype alignments to map global adaptation of SARS-CoV-2. https://doi.org/10.1101/2021.01.13.426571
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