On the origin and continuing evolution of SARS-CoV-2.

Xiaolu Tang1 Changcheng Wu1 Xiang Li2 Yuhe Song2 Xinmin Yao1 Xinkai Wu1 Yuange Duan1 Hong Zhang1 Yirong Wang1 Zhaohui Qian3 Jie Cui2 Jian Lu1
Affiliations 3 institutions
  1. State Key Laboratory of Protein and Plant Gene Research, Center for Bioinformatics, School of Life Sciences, Peking University, Beijing 100871, China.
  2. CAS Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai 200031, China.
  3. NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.

Abstract

The SARS-CoV-2 epidemic started in late December 2019 in Wuhan, China, and has since impacted a large portion of China and raised major global concern. Herein, we investigated the extent of molecular divergence between SARS-CoV-2 and other related coronaviruses. Although we found only 4% variability in genomic nucleotides between SARS-CoV-2 and a bat SARS-related coronavirus (SARSr-CoV; RaTG13), the difference at neutral sites was 17%, suggesting the divergence between the two viruses is much larger than previously estimated. Our results suggest that the development of new variations in functional sites in the receptor-binding domain (RBD) of the spike seen in SARS-CoV-2 and viruses from pangolin SARSr-CoVs are likely caused by natural selection besides recombination. Population genetic analyses of 103 SARS-CoV-2 genomes indicated that these viruses had two major lineages (designated L and S), that are well defined by two different SNPs that show nearly complete linkage across the viral strains sequenced to date. We found that L lineage was more prevalent than the S lineage within the limited patient samples we examined. The implication of these evolutionary changes on disease etiology remains unclear. These findings strongly underscores the urgent need for further comprehensive studies that combine viral genomic data, with epidemiological studies of coronavirus disease 2019 (COVID-19).

Supporting text Virus Host Location
molecular evolution 14 population genetics 3 SARS-CoV-2 550 virus 12

Evidence records

3 total
Functional Mechanism
1 records · 1 evidence types
Evidence type
1 records
OVE5257
Key finding

Natural selection shaped new variations in functional sites within the spike receptor-binding domain of SARS-CoV-2 and pangolin SARSr-CoVs.

Virus
Host
Not specified
Location
Not specified
Supporting text

Our results suggest that the development of new variations in functional sites in the receptor-binding domain (RBD) of the spike seen in SARS-CoV-2 and viruses from pangolin SARSr-CoVs are likely caused by natural selection besides recombination.

Genes or proteins
spike | receptor-binding domain (RBD)
Mechanism types
receptor binding | host-range expansion
Genomic Evolution
2 records · 1 evidence types
Evidence type
2 records
OVE5255
Key finding

Comparative genomic analysis showed that SARS-CoV-2 diverges substantially from the bat SARS-related coronavirus RaTG13, with 4% overall nucleotide variability and 17% neutral-site divergence.

Virus
Host
Location
Not specified
Supporting text

Although we found only 4% variability in genomic nucleotides between SARS-CoV-2 and a bat SARS-related coronavirus (SARSr-CoV; RaTG13), the difference at neutral sites was 17%, suggesting the divergence between the two viruses is much larger than previously estimated.

Genes or proteins
genome | neutral sites
Analysis methods
comparative genomic analysis | evolutionary divergence estimation
OVE5256
Key finding

Phylogenetic population genetic analysis of 103 SARS-CoV-2 genomes identified two main viral lineages, L and S, defined by distinct SNPs showing nearly complete linkage.

Virus
Host
Not specified
Location
Not specified
Supporting text

Population genetic analyses of 103 SARS-CoV-2 genomes indicated that these viruses had two major lineages (designated L and S), that are well defined by two different SNPs that show nearly complete linkage across the viral strains sequenced to date.

Genes or proteins
whole genome | SNPs
Analysis methods
population genetic analysis | phylogenetic lineage inference