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1.
Proc Natl Acad Sci U S A ; 118(29)2021 07 20.
Article in English | MEDLINE | ID: covidwho-1307383

ABSTRACT

Understanding the trends in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) evolution is paramount to control the COVID-19 pandemic. We analyzed more than 300,000 high-quality genome sequences of SARS-CoV-2 variants available as of January 2021. The results show that the ongoing evolution of SARS-CoV-2 during the pandemic is characterized primarily by purifying selection, but a small set of sites appear to evolve under positive selection. The receptor-binding domain of the spike protein and the region of the nucleocapsid protein associated with nuclear localization signals (NLS) are enriched with positively selected amino acid replacements. These replacements form a strongly connected network of apparent epistatic interactions and are signatures of major partitions in the SARS-CoV-2 phylogeny. Virus diversity within each geographic region has been steadily growing for the entirety of the pandemic, but analysis of the phylogenetic distances between pairs of regions reveals four distinct periods based on global partitioning of the tree and the emergence of key mutations. The initial period of rapid diversification into region-specific phylogenies that ended in February 2020 was followed by a major extinction event and global homogenization concomitant with the spread of D614G in the spike protein, ending in March 2020. The NLS-associated variants across multiple partitions rose to global prominence in March to July, during a period of stasis in terms of interregional diversity. Finally, beginning in July 2020, multiple mutations, some of which have since been demonstrated to enable antibody evasion, began to emerge associated with ongoing regional diversification, which might be indicative of speciation.


Subject(s)
Adaptation, Physiological/genetics , Evolution, Molecular , SARS-CoV-2/genetics , Amino Acid Substitution , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19/virology , COVID-19 Testing , Coronavirus Nucleocapsid Proteins/genetics , Epistasis, Genetic , Genome, Viral/genetics , Humans , Immune Evasion/genetics , Mutation , Nuclear Localization Signals/genetics , Phosphoproteins/genetics , Phylogeny , Protein Interaction Domains and Motifs/genetics , SARS-CoV-2/classification , Selection, Genetic , Spike Glycoprotein, Coronavirus/genetics , Vaccination
2.
Proc Natl Acad Sci U S A ; 117(26): 15193-15199, 2020 06 30.
Article in English | MEDLINE | ID: covidwho-595720

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses an immediate, major threat to public health across the globe. Here we report an in-depth molecular analysis to reconstruct the evolutionary origins of the enhanced pathogenicity of SARS-CoV-2 and other coronaviruses that are severe human pathogens. Using integrated comparative genomics and machine learning techniques, we identify key genomic features that differentiate SARS-CoV-2 and the viruses behind the two previous deadly coronavirus outbreaks, SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV), from less pathogenic coronaviruses. These features include enhancement of the nuclear localization signals in the nucleocapsid protein and distinct inserts in the spike glycoprotein that appear to be associated with high case fatality rate of these coronaviruses as well as the host switch from animals to humans. The identified features could be crucial contributors to coronavirus pathogenicity and possible targets for diagnostics, prognostication, and interventions.


Subject(s)
Betacoronavirus/genetics , Evolution, Molecular , Genome, Viral , Nucleocapsid Proteins/genetics , Spike Glycoprotein, Coronavirus/genetics , Animals , Betacoronavirus/classification , Betacoronavirus/pathogenicity , Host Specificity , Humans , Machine Learning , Middle East Respiratory Syndrome Coronavirus/classification , Middle East Respiratory Syndrome Coronavirus/genetics , Middle East Respiratory Syndrome Coronavirus/pathogenicity , Mutagenesis, Insertional , Nuclear Localization Signals/genetics , Nucleocapsid Proteins/chemistry , Phylogeny , SARS-CoV-2 , Sequence Homology , Spike Glycoprotein, Coronavirus/chemistry , Virulence/genetics
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