Accepted_test

Analysis of SARS-CoV-2 genomic data using haplotype networks

by Samoilov A.E. | Chyudinov I.K. | Research Institute for Systems Biology and Medicine (RISBM) | Research Institute for Systems Biology and Medicine (RISBM)

Abstract ID: 585

Event: BGRS-abstracts

Sections: [Sym 5] Section “Molecular phylogenetics and phylogenomics of Plants, Fungi, Protists, Prokaryotes and Viruses”

Since the beginning of the COVID-19 pandemic, the world scientific community has faced the problem of analyzing SARS-CoV-2 genomic sequences. We have utilized haplotype networks to detect and characterize imports of SARS-CoV-2 to Russia. We have detected 1012 imports of Delta lineage, 773 imports of BA.1 lineage and 569 imports of BA.2 to Russia. The paper by Klink et al suggests that 90% or Russian Delta genomes were descendants of one single import. Our data shows that only 60% of Russian Delta genomes were descendants of that import event, while the other 30% were re-imported repeatedly over 500 times during all of the course of pandemic. Haplotype networks are an efficient method of analysis, which allows to visualize and characterize genomic data during massive pandemic events.