Cargando…

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

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 con...

Descripción completa

Detalles Bibliográficos
Autores principales: Pan, Bohu, Ji, Zuowei, Sakkiah, Sugunadevi, Guo, Wenjing, Liu, Jie, Patterson, Tucker A., Hong, Huixiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145049/
https://www.ncbi.nlm.nih.gov/pubmed/33925388
http://dx.doi.org/10.3390/v13050764
_version_ 1783697089625063424
author Pan, Bohu
Ji, Zuowei
Sakkiah, Sugunadevi
Guo, Wenjing
Liu, Jie
Patterson, Tucker A.
Hong, Huixiao
author_facet Pan, Bohu
Ji, Zuowei
Sakkiah, Sugunadevi
Guo, Wenjing
Liu, Jie
Patterson, Tucker A.
Hong, Huixiao
author_sort Pan, Bohu
collection PubMed
description 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.
format Online
Article
Text
id pubmed-8145049
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-81450492021-05-26 Identification of Epidemiological Traits by Analysis of SARS−CoV−2 Sequences Pan, Bohu Ji, Zuowei Sakkiah, Sugunadevi Guo, Wenjing Liu, Jie Patterson, Tucker A. Hong, Huixiao Viruses Article 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. MDPI 2021-04-27 /pmc/articles/PMC8145049/ /pubmed/33925388 http://dx.doi.org/10.3390/v13050764 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pan, Bohu
Ji, Zuowei
Sakkiah, Sugunadevi
Guo, Wenjing
Liu, Jie
Patterson, Tucker A.
Hong, Huixiao
Identification of Epidemiological Traits by Analysis of SARS−CoV−2 Sequences
title Identification of Epidemiological Traits by Analysis of SARS−CoV−2 Sequences
title_full Identification of Epidemiological Traits by Analysis of SARS−CoV−2 Sequences
title_fullStr Identification of Epidemiological Traits by Analysis of SARS−CoV−2 Sequences
title_full_unstemmed Identification of Epidemiological Traits by Analysis of SARS−CoV−2 Sequences
title_short Identification of Epidemiological Traits by Analysis of SARS−CoV−2 Sequences
title_sort identification of epidemiological traits by analysis of sars−cov−2 sequences
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145049/
https://www.ncbi.nlm.nih.gov/pubmed/33925388
http://dx.doi.org/10.3390/v13050764
work_keys_str_mv AT panbohu identificationofepidemiologicaltraitsbyanalysisofsarscov2sequences
AT jizuowei identificationofepidemiologicaltraitsbyanalysisofsarscov2sequences
AT sakkiahsugunadevi identificationofepidemiologicaltraitsbyanalysisofsarscov2sequences
AT guowenjing identificationofepidemiologicaltraitsbyanalysisofsarscov2sequences
AT liujie identificationofepidemiologicaltraitsbyanalysisofsarscov2sequences
AT pattersontuckera identificationofepidemiologicaltraitsbyanalysisofsarscov2sequences
AT honghuixiao identificationofepidemiologicaltraitsbyanalysisofsarscov2sequences