Analysis of SARS-CoV-2 omicron mutations that emerged during long-term replication in a lung cancer xenograft mouse model

  • Kyeongbin Baek
  • , Dongbum Kim
  • , Jinsoo Kim
  • , Bo Min Kang
  • , Heedo Park
  • , Sangkyu Park
  • , Ha Eun Shin
  • , Myeong Heon Lee
  • , Sony Maharjan
  • , Minyoung Kim
  • , Suyeon Kim
  • , Man Seong Park
  • , Younghee Lee
  • , Hyung Joo Kwon*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

SARS-CoV-2 Omicron has the largest number of mutations among all the known SARS-CoV-2 variants. The presence of these mutations might explain why Omicron is more infectious and vaccines have lower efficacy to Omicron than other variants, despite lower virulence of Omicron. We recently established a long-term in vivo replication model by infecting Calu-3 xenograft tumors in immunodeficient mice with parental SARS-CoV-2 and found that various mutations occurred majorly in the spike protein during extended replication. To investigate whether there are differences in the spectrum and frequency of mutations between parental SARS-CoV-2 and Omicron, we here applied this model to Omicron. At 30 days after infection, we found that the virus was present at high titers in the tumor tissues and had developed several rare sporadic mutations, mainly in ORF1ab with additional minor spike protein mutations. Many of the mutant isolates had higher replicative activity in Calu-3 cells compared with the original SARS-CoV-2 Omicron virus, suggesting that the novel mutations contributed to increased viral replication. Serial propagation of SARS-CoV-2 Omicron in cultured Calu-3 cells resulted in several rare sporadic mutations in various viral proteins with no mutations in the spike protein. Therefore, the genome of SARS-CoV-2 Omicron seems largely stable compared with that of the parental SARS-CoV-2 during extended replication in Calu-3 cells and xenograft model. The sporadic mutations and modified growth properties observed in Omicron might explain the emergence of Omicron sublineages. However, we cannot exclude the possibility of some differences in natural infection.

Original languageEnglish
Pages (from-to)251-262
Number of pages12
JournalVirus Genes
Volume60
Issue number3
DOIs
Publication statusPublished - 2024 Jun

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • COVID-19
  • Long-term infection model
  • Mutants
  • SARS-CoV-2 Omicron
  • Xenograft mouse model

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Virology

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