BMC Infectious Diseases (Mar 2024)

The RdRp genotyping of SARS-CoV-2 isolated from patients with different clinical spectrum of COVID-19

  • Michał Majchrzak,
  • Łukasz Madej,
  • Małgorzata Łysek-Gładysińska,
  • Dorota Zarębska-Michaluk,
  • Katarzyna Zegadło,
  • Anna Dziuba,
  • Katarzyna Nogal-Nowak,
  • Wioleta Kondziołka,
  • Iwona Sufin,
  • Mieczysława Myszona-Tarnowska,
  • Mateusz Jaśkowski,
  • Mateusz Kędzierski,
  • Jadwiga Maciukajć,
  • Jarosław Matykiewicz,
  • Stanisław Głuszek,
  • Wioletta Adamus-Białek

DOI
https://doi.org/10.1186/s12879-024-09146-x
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 16

Abstract

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Abstract Background The evolution of SARS-CoV-2 has been observed from the very beginning of the fight against COVID-19, some mutations are indicators of potentially dangerous variants of the virus. However, there is no clear association between the genetic variants of SARS-CoV-2 and the severity of COVID-19. We aimed to analyze the genetic variability of RdRp in correlation with different courses of COVID-19. Results The prospective study included 77 samples of SARS-CoV-2 isolated from outpatients (1st degree of severity) and hospitalized patients (2nd, 3rd and 4th degree of severity). The retrospective analyses included 15,898,266 cases of SARS-CoV-2 genome sequences deposited in the GISAID repository. Single-nucleotide variants were identified based on the four sequenced amplified fragments of SARS-CoV-2. The analysis of the results was performed using appropriate statistical methods, with p T, 14697C > T, 15096 T > C, and 15279C > T), while the 15240C > T mutation was common among strains isolated from outpatients. The selected mutations were searched worldwide in the GISAID database, their presence was correlated with the severity of COVID-19. Conclusion Identified mutations have the potential to be used to assess the increased risk of hospitalization in COVID-19 positive patients. Experimental studies and extensive epidemiological data are needed to investigate the association between individual mutations and the severity of COVID-19.

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