Genomic and Epidemiological Features of COVID-19 in the Novosibirsk Region during the Beginning of the Pandemic

Natalia Palyanova, Ivan Sobolev, Alexander Alekseev, Alexandra Glushenko, Evgeniya Kazachkova, Alexander Markhaev, Yulia Kononova, Marina Gulyaeva, Lubov Adamenko, Olga Kurskaya, Yuhai Bi, Yuhua Xin, Kirill Sharshov, Alexander Shestopalov

Research output: Contribution to journalArticlepeer-review


In this retrospective, single-center study, we conducted an analysis of 13,699 samples from different individuals obtained from the Federal Research Center of Fundamental and Translational Medicine, from 1 April to 30 May 2020 in Novosibirsk region (population 2.8 million people). We identified 6.49% positive for SARS-CoV-2 cases out of the total number of diagnostic tests, and 42% of them were from asymptomatic people. We also detected two asymptomatic people, who had no confirmed contact with patients with COVID-19. The highest percentage of positive samples was observed in the 80+ group (16.3%), while among the children and adults it did not exceed 8%. Among all the people tested, 2423 came from a total of 80 different destinations and only 27 of them were positive for SARS-CoV-2. Out of all the positive samples, 15 were taken for SARS-CoV-2 sequencing. According to the analysis of the genome sequences, the SARS-CoV-2 variants isolated in the Novosibirsk region at the beginning of the pandemic belonged to three phylogenetic lineages according to the Pangolin classification: B.1, B.1.1, and B.1.1.129. All Novosibirsk isolates contained the D614G substitution in the Spike protein, two isolates werecharacterized by an additional M153T mutation, and one isolate wascharacterized by the L5F mutation.

Original languageEnglish
Article number2036
Issue number9
Publication statusPublished - Sep 2022


  • COVID-19
  • epidemiology
  • first wave
  • phylogeny
  • Russia
  • SARS-CoV-2
  • Genome, Viral
  • Pandemics
  • SARS-CoV-2/genetics
  • Genomics
  • Humans
  • Phylogeny
  • Spike Glycoprotein, Coronavirus/genetics
  • COVID-19/epidemiology
  • Adult
  • Retrospective Studies
  • Mutation
  • Child




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