tetano
Editor, Senior Moderator
Viruses
. 2021 Apr 27;13(5):764.
doi: 10.3390/v13050764.
Identification of Epidemiological Traits by Analysis of SARS-CoV-2 Sequences
Bohu Pan[SUP] 1 [/SUP], Zuowei Ji[SUP] 1 [/SUP], Sugunadevi Sakkiah[SUP] 1 [/SUP], Wenjing Guo[SUP] 1 [/SUP], Jie Liu[SUP] 1 [/SUP], Tucker A Patterson[SUP] 1 [/SUP], Huixiao Hong[SUP] 1 [/SUP]
Affiliations
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.
. 2021 Apr 27;13(5):764.
doi: 10.3390/v13050764.
Identification of Epidemiological Traits by Analysis of SARS-CoV-2 Sequences
Bohu Pan[SUP] 1 [/SUP], Zuowei Ji[SUP] 1 [/SUP], Sugunadevi Sakkiah[SUP] 1 [/SUP], Wenjing Guo[SUP] 1 [/SUP], Jie Liu[SUP] 1 [/SUP], Tucker A Patterson[SUP] 1 [/SUP], Huixiao Hong[SUP] 1 [/SUP]
Affiliations
- PMID: 33925388
- 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.