Apr 24, 2020

Evolution and molecular characteristics of SARS-CoV-2 genome

BioRxiv : the Preprint Server for Biology
Y. BaiHongli Du

Abstract

In the evolution analysis of 622 complete human severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes with high quality, the estimated Ka/Ks ratio of SARS-CoV-2 is 1.008, which is significantly higher than that of SARS-CoV and MERS-CoV, and the time to the most recent common ancestor (tMRCA) of SARS-CoV-2 is inferred in late September 2019 (95% CI: 2019/08/28-2019/10/26), which indicating that SARS-CoV-2 may have completed a positive selection pressure of the cross-host evolution in the early stage and be going through a neutral evolution at present. In addition, no-root phylogenetic tree of the 622 SARS-CoV-2 genomes were constructed by maximum likelihood (ML) with the bootstrap value of 100. According to the phylogenetic trees, all genomes were divided into Cluster 1 to 3, in which genomes were mainly from North America, global and Europe respectively. Further we find 9 key specific sites of highly linkage which play a decisive role in the classification of each cluster. Among them, 3 and 4 sites of almost complete linkage are the specific sites for Cluster 1 and Cluster 3 respectively. Notably the frequencies of haplotype TTTG and H1 are generally high in European countries and correlated to death rate (r>0.4)...Continue Reading

  • References
  • Citations

References

  • We're still populating references for this paper, please check back later.
  • References
  • Citations

Citations

  • This paper may not have been cited yet.

Mentioned in this Paper

Biochemical Pathway
Three-dimensional
Study of Epigenetics
Polymers
Drug Interactions
Chromosomes
Chromatin Location
Globule Dosage Form
Chromatin
Attractant

Related Feeds

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.

© 2020 Meta ULC. All rights reserved