Distinguishing SARS-CoV-2 bonafide re-infection from pre-existing minor variant reactivation

Infect Genet Evol. 2021 Jun:90:104772. doi: 10.1016/j.meegid.2021.104772. Epub 2021 Feb 14.

Abstract

Different groups have recently reported events of SARS-CoV-2 reinfection, where patients had a sequence of positive-negative-positive RT-PCR tests. However, such events could be explained by different scenarios such as intermittent viral shedding, bonafide re-infection or multiple infection with alternating predominance of different viruses. Analysis of minor variants is an important tool to distinguish between these scenarios. Using ARTIC network PCR amplification and next-generation sequencing, we obtained SARS-CoV-2 sequences from two timepoints (with a time span of 102 days) of a patient followed at the Brazilian National Cancer Institute. Within-host variant analysis evidenced three single nucleotide variants (SNVs) at the consensus viral sequence in the second timepoint that were already present in the first timepoint as minor variants. Another five SNVs found in the second timepoint were not detected in the first sample sequenced, suggesting an additional infection by a yet another new virus. Our observation shed light into the existence of different viral populations that are present in dynamic frequencies and fluctuate during the course of SARS-CoV-2 infection. The detection of these variants in distinct disease events of an individual highlights a complex interplay between viral reactivation from a pre-existing minority variant and reinfection by a different virus.

Keywords: Intrahost variation; Multiple infection; Re-infection; Reactivation; SARS-CoV-2.

Publication types

  • Case Reports
  • Research Support, N.I.H., Intramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Biomarkers
  • COVID-19 / diagnosis*
  • COVID-19 / virology*
  • Comorbidity
  • Disease Susceptibility
  • Fatal Outcome
  • Host-Pathogen Interactions*
  • Humans
  • Male
  • Reinfection*
  • SARS-CoV-2* / physiology
  • Tomography, X-Ray Computed
  • Viral Load
  • Virus Activation

Substances

  • Biomarkers