ArticleGenomics, proteomics & bioinformatics2022
Ongoing Positive Selection Drives the Evolution of SARS-CoV-2 Genomes.
Article in Genomics, proteomics & bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 30 citations in OpenAlex.
- Integrated Genomic Analysis Uncovers the Evolutionary Landscape and Global Dissemination of Senecavirus A.Veterinary sciences · 2026Article
- Genomic characterization and evolutionary dynamics of human adenovirus C (HAdV-C) in Beijing (2023-2024): insights into multiple recombination and adaptive evolution.Virus evolution · 2026Article
- Mutation profiling, evolution analysis, molecular dynamics simulation, and functional characterization of Omicron sub-strains.Virus research · 2025Article
- Heterogeneous Evolution Among SARS-CoV-2 Genes and Variants of Concern.Journal of medical virology · 2025Article
- Hidden players of COVID-19: the evolving roles of SARS-CoV-2 accessory proteins.Frontiers in immunology · 2025Review
- Analysis of SARS-CoV-2 genome evolutionary patterns.Microbiology spectrum · 2024Article
- Molecular Evolutionary Analyses of the Spike Protein Gene and Spike Protein in the SARS-CoV-2 Omicron Subvariants.Microorganisms · 2023Article
- Nanopore Single-molecule Analysis of Biomarkers: Providing Possible Clues to Disease Diagnosis.Trends in analytical chemistry : TRAC · 2023Article
- Review
- Article
- On the Evolutionary Trajectory of SARS-CoV-2: Host Immunity as a Driver of Adaptation in RNA Viruses.Viruses · 2022Review
- Probing SARS-CoV-2 sequence diversity of Pakistani isolates.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021Article
- SARS-CoV-2 genomic characterization and clinical manifestation of the COVID-19 outbreak in Uruguay.medRxiv : the preprint server for health sciences · 2020Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
SARS-CoV-2 is a new RNA virus affecting humans and spreads extensively throughout the world since its first outbreak in December, 2019. Whether the transmissibility and pathogenicity of SARS-CoV-2 in humans after zoonotic transfer are actively evolving, and driven by adaptation to the new host and environments is still under debate. Understanding the evolutionary mechanism underlying epidemiological and pathological characteristics of COVID-19 is essential for predicting the epidemic trend, and providing guidance for disease control and treatments. Interrogating novel strategies for identifying natural selection using within-species polymorphisms and 3,674,076 SARS-CoV-2 genome sequences of 169 countries as of December 30, 2021, we demonstrate with population genetic evidence that during the course of SARS-CoV-2 pandemic in humans, 1) SARS-CoV-2 genomes are overall conserved under purifying selection, especially for the 14 genes related to viral RNA replication, transcription, and assembly; 2) ongoing positive selection is actively driving the evolution of 6 genes (e.g., S, ORF3a, and N) that play critical roles in molecular processes involving pathogen-host interactions, including viral invasion into and egress from host cells, and viral inhibition and evasion of host immune response, possibly leading to high transmissibility and mild symptom in SARS-CoV-2 evolution. According to an established haplotype phylogenetic relationship of 138 viral clusters, a spatial and temporal landscape of 556 critical mutations is constructed based on their divergence among viral haplotype clusters or repeatedly increase in frequency within at least 2 clusters, of which multiple mutations potentially conferring alterations in viral transmissibility, pathogenicity, and virulence of SARS-CoV-2 are highlighted, warranting attention.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.