Identification of Epidemiological Traits by Analysis of SARS-CoV-2 Sequences

Viruses. 2021 Apr 27;13(5):764. doi: 10.3390/v13050764.

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused the ongoing global COVID-19 pandemic that began in late December 2019. The rapid spread of SARS-CoV-2 is primarily due to person-to-person transmission. To understand the epidemiological traits of SARS-CoV-2 transmission, we conducted phylogenetic analysis on genome sequences from >54K SARS-CoV-2 cases obtained from two public databases. Hierarchical clustering analysis on geographic patterns in the resulting phylogenetic trees revealed a co-expansion tendency of the virus among neighboring countries with diverse sources and transmission routes for SARS-CoV-2. Pairwise sequence similarity analysis demonstrated that SARS-CoV-2 is transmitted locally and evolves during transmission. However, no significant differences were seen among SARS-CoV-2 genomes grouped by host age or sex. Here, our identified epidemiological traits provide information to better prevent transmission of SARS-CoV-2 and to facilitate the development of effective vaccines and therapeutics against the virus.

Keywords: COVID-19; SARS−CoV−2; epidemiological trait; genome; pattern; phylogenetic analysis; sequence.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Base Sequence
  • COVID-19 / epidemiology*
  • COVID-19 / transmission
  • COVID-19 / virology*
  • Databases, Nucleic Acid
  • Genome, Viral
  • Humans
  • Pandemics
  • Phylogeny
  • SARS-CoV-2 / classification*
  • SARS-CoV-2 / genetics
  • SARS-CoV-2 / isolation & purification
  • Sequence Analysis