The Genome Sequence Analysis of SARS-CoV-2 Variants of Concern

Adithi Somayaji; S. Balaji

doi:10.1007/978-3-031-57369-9_1

The Genome Sequence Analysis of SARS-CoV-2 Variants of Concern

Adithi Somayaji
, S. Balaji^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

The coronavirus pandemic has been at the forefront of the news, with many variants emerging with varied infectivity and transmissibility. These variants are the result of mutations in the virus. The evolutionary relationships of various SARS-CoV-2 variants were analyzed with a major focus on the Omicron variant. There were 61 sequence representatives obtained from GISAID and GenBank databases and were aligned and the phylogenetic trees were represented using MEGAX software. Evolutionary substitution models were utilized in conjunction with clustering approaches such as UPGMA, Neighbor-Joining (NJ), Minimum Evolution, and Maximum Composite Likelihood. The sequences of the omicron variant showed a close phylogenetic relationship with the Alpha variant UK (MZ376737.1), whereas the others showed significant distance from the Omicron variant.

Original language	English
Title of host publication	Global Virology IV
Subtitle of host publication	Viral Disease Diagnosis and Treatment Delivery in the 21st Century
Publisher	Springer International Publishing AG
Pages	1-20
Number of pages	20
ISBN (Electronic)	9783031573699
ISBN (Print)	9783031573682
DOIs	https://doi.org/10.1007/978-3-031-57369-9_1
Publication status	Published - 01-01-2024

All Science Journal Classification (ASJC) codes

General Medicine
General Immunology and Microbiology
General Pharmacology, Toxicology and Pharmaceutics
General Neuroscience

Access to Document

10.1007/978-3-031-57369-9_1

Cite this

@inbook{2260cf652588425392066a8b6a9e7b8e,

title = "The Genome Sequence Analysis of SARS-CoV-2 Variants of Concern",

abstract = "The coronavirus pandemic has been at the forefront of the news, with many variants emerging with varied infectivity and transmissibility. These variants are the result of mutations in the virus. The evolutionary relationships of various SARS-CoV-2 variants were analyzed with a major focus on the Omicron variant. There were 61 sequence representatives obtained from GISAID and GenBank databases and were aligned and the phylogenetic trees were represented using MEGAX software. Evolutionary substitution models were utilized in conjunction with clustering approaches such as UPGMA, Neighbor-Joining (NJ), Minimum Evolution, and Maximum Composite Likelihood. The sequences of the omicron variant showed a close phylogenetic relationship with the Alpha variant UK (MZ376737.1), whereas the others showed significant distance from the Omicron variant.",

author = "Adithi Somayaji and S. Balaji",

note = "Publisher Copyright: {\textcopyright} The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.",

year = "2024",

month = jan,

day = "1",

doi = "10.1007/978-3-031-57369-9\_1",

language = "English",

isbn = "9783031573682",

pages = "1--20",

booktitle = "Global Virology IV",

publisher = "Springer International Publishing AG",

address = "Switzerland",

}

TY - CHAP

T1 - The Genome Sequence Analysis of SARS-CoV-2 Variants of Concern

AU - Somayaji, Adithi

AU - Balaji, S.

N1 - Publisher Copyright: © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024/1/1

Y1 - 2024/1/1

N2 - The coronavirus pandemic has been at the forefront of the news, with many variants emerging with varied infectivity and transmissibility. These variants are the result of mutations in the virus. The evolutionary relationships of various SARS-CoV-2 variants were analyzed with a major focus on the Omicron variant. There were 61 sequence representatives obtained from GISAID and GenBank databases and were aligned and the phylogenetic trees were represented using MEGAX software. Evolutionary substitution models were utilized in conjunction with clustering approaches such as UPGMA, Neighbor-Joining (NJ), Minimum Evolution, and Maximum Composite Likelihood. The sequences of the omicron variant showed a close phylogenetic relationship with the Alpha variant UK (MZ376737.1), whereas the others showed significant distance from the Omicron variant.

AB - The coronavirus pandemic has been at the forefront of the news, with many variants emerging with varied infectivity and transmissibility. These variants are the result of mutations in the virus. The evolutionary relationships of various SARS-CoV-2 variants were analyzed with a major focus on the Omicron variant. There were 61 sequence representatives obtained from GISAID and GenBank databases and were aligned and the phylogenetic trees were represented using MEGAX software. Evolutionary substitution models were utilized in conjunction with clustering approaches such as UPGMA, Neighbor-Joining (NJ), Minimum Evolution, and Maximum Composite Likelihood. The sequences of the omicron variant showed a close phylogenetic relationship with the Alpha variant UK (MZ376737.1), whereas the others showed significant distance from the Omicron variant.

UR - https://www.scopus.com/pages/publications/105004142130

UR - https://www.scopus.com/pages/publications/105004142130#tab=citedBy

U2 - 10.1007/978-3-031-57369-9_1

DO - 10.1007/978-3-031-57369-9_1

M3 - Chapter

AN - SCOPUS:105004142130

SN - 9783031573682

SP - 1

EP - 20

BT - Global Virology IV

PB - Springer International Publishing AG

ER -

The Genome Sequence Analysis of SARS-CoV-2 Variants of Concern

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this