Files and links (1)
CC BY V4.0, Open Access
Journal article
On the Evolutionary Trajectory of SARS-CoV-2: Host Immunity as a Driver of Adaptation in RNA Viruses
Viruses, Vol.15(1), 70
2022
PMID: 36680110
Abstract
Host immunity can exert a complex array of selective pressures on a pathogen, which can drive highly mutable RNA viruses towards viral escape. The plasticity of a virus depends on its rate of mutation, as well as the balance of fitness cost and benefit of mutations, including viral adaptations to the host’s immune response. Since its emergence, SARS-CoV-2 has diversified into genetically distinct variants, which are characterised often by clusters of mutations that bolster its capacity to escape human innate and adaptive immunity. Such viral escape is well documented in the context of other pandemic RNA viruses such as the human immunodeficiency virus (HIV) and influenza virus. This review describes the selection pressures the host’s antiviral immunity exerts on SARS-CoV-2 and other RNA viruses, resulting in divergence of viral strains into more adapted forms. As RNA viruses obscure themselves from host immunity, they uncover weak points in their own armoury that can inform more comprehensive, long-lasting, and potentially cross-protective vaccine coverage.
Details
- Title
- On the Evolutionary Trajectory of SARS-CoV-2: Host Immunity as a Driver of Adaptation in RNA Viruses
- Authors/Creators
- Jacob Warger - The University of Western AustraliaSilvana Gaudieri - Murdoch University, Institute for Immunology and Infectious Diseases
- Publication Details
- Viruses, Vol.15(1), 70
- Publisher
- MDPI
- Identifiers
- 991005602260607891
- Copyright
- © 2022 by the authors.
- Murdoch Affiliation
- Institute for Immunology and Infectious Diseases
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Metrics
2 File views/ downloads
66 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.104 Virology - General
- 1.104.1353 Coronavirus Research
- Web Of Science research areas
- Virology
- ESI research areas
- Microbiology