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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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 |
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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 |
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