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Published on: November 10, 2023
Intra-host variability of SARS-CoV-2: Patterns, causes and impact on COVID-19
1Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Avenida Rivadavia 1917, C1083ACA Ciudad Autónoma de Buenos Aires, Argentina; Laboratorio de Virología y Genética Molecular (LVGM), Facultad de Ciencias Naturales y Ciencias de la Salud, Universidad Nacional de la Patagonia San Juan Bosco, Belgrano 160, Trelew, CP, 9100, Argentina.
Intra-host variability in SARS-CoV-2 impacts disease severity and drug resistance. Understanding viral mutation patterns is crucial for tracking COVID-19 evolution and the emergence of new variants.
Area of Science:
- Virology
- Genetics
- Epidemiology
Background:
- Intra-host viral variability influences pathogenicity, persistence, drug resistance, and clade emergence.
- Significant data on SARS-CoV-2 intra-host variability has been accumulated, with implications for COVID-19 and the emergence of variants of concern (VOCs).
Purpose of the Study:
- To review and synthesize current knowledge on SARS-CoV-2 intra-host variability.
- To address the implications of this variability in COVID-19 pathogenesis, drug resistance, and the evolution of VOCs and lineage-defining mutations.
Main Methods:
- Review of existing literature and data on SARS-CoV-2 intra-host variability.
- Analysis of polymorphism distribution, mutational signatures, and patterns of emergence/extinction.
- Examination of factors governing viral mutation abundance, frequency, and type (synonymous, nonsynonymous, indels, nonsense).
Main Results:
- Intra-host polymorphisms are distributed across the SARS-CoV-2 genome with specific mutational signatures.
- Viral mutations exhibit dynamic patterns of emergence and extinction during infection.
- Replication and mutation can occur in different anatomical compartments, suggesting a broader context beyond respiratory samples.
Conclusions:
- SARS-CoV-2 intra-host variability plays a critical role in viral evolution and COVID-19.
- Understanding these variations is key to predicting and managing future viral threats and therapeutic strategies.
- The compartmentalized replication of SARS-CoV-2 may lead to a more complex evolutionary landscape than currently understood from respiratory samples.
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