Skip to main navigation Skip to search Skip to main content

Drivers of adaptive evolution during chronic SARS-CoV-2 infections

  • Sheri Harari
  • , Maayan Tahor
  • , Natalie Rutsinsky
  • , Suzy Meijer
  • , Danielle Miller
  • , Oryan Henig
  • , Ora Halutz
  • , Katia Levytskyi
  • , Ronen Ben-Ami
  • , Amos Adler
  • , Yael Paran
  • , Adi Stern

Research output: Contribution to journalArticlepeer-review

Abstract

In some immunocompromised patients with chronic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, considerable adaptive evolution occurs. Some substitutions found in chronic infections are lineage-defining mutations in variants of concern (VOCs), which has led to the hypothesis that VOCs emerged from chronic infections. In this study, we searched for drivers of VOC-like emergence by consolidating sequencing results from a set of 27 chronic infections. Most substitutions in this set reflected lineage-defining VOC mutations; however, a subset of mutations associated with successful global transmission was absent from chronic infections. We further tested the ability to associate antibody evasion mutations with patient-specific and virus-specific features and found that viral rebound is strongly correlated with the emergence of antibody evasion. We found evidence for dynamic polymorphic viral populations in most patients, suggesting that a compromised immune system selects for antibody evasion in particular niches in a patient’s body. We suggest that a tradeoff exists between antibody evasion and transmissibility and that extensive monitoring of chronic infections is necessary to further understanding of VOC emergence.

Original languageEnglish
Pages (from-to)1501-1508
Number of pages8
JournalNature Medicine
Volume28
Issue number7
DOIs
StatePublished - Jul 2022

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

ASJC Scopus subject areas

  • General Biochemistry,Genetics and Molecular Biology

Fingerprint

Dive into the research topics of 'Drivers of adaptive evolution during chronic SARS-CoV-2 infections'. Together they form a unique fingerprint.

Cite this