Ongoing Global and Regional Adaptive Evolution of SARS-CoV-2.

SARS-Cov-2 ancestral reconstruction epistasis globalization phylogeny

Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
02 Mar 2021
Historique:
pubmed: 22 10 2020
medline: 22 10 2020
entrez: 21 10 2020
Statut: epublish

Résumé

Understanding the trends in 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 nuclear localization signal (NLS) associated region of the nucleocapsid protein 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-July, during a period of stasis in terms of inter-regional diversity. Finally, beginning 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.

Identifiants

pubmed: 33083804
doi: 10.1101/2020.10.12.336644
pmc: PMC7574262
pii:
doi:

Types de publication

Preprint

Langues

eng

Commentaires et corrections

Type : UpdateIn

Auteurs

Nash D Rochman (ND)

National Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894.

Yuri I Wolf (YI)

National Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894.

Guilhem Faure (G)

Broad Institute of MIT and Harvard, Cambridge, MA 02142.

Pascal Mutz (P)

National Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894.

Feng Zhang (F)

Broad Institute of MIT and Harvard, Cambridge, MA 02142.
Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02139.
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139.
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139.
Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.

Eugene V Koonin (EV)

National Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894.

Classifications MeSH