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The evolving proteome of SARS-CoV-2 predominantly uses mutation combination strategy for survival
The knowledge about SARS-CoV-2 proteome variations is important to understand its evolutionary tactics and in drug/vaccine design. An extensive analysis of 125,747 whole proteome reveals 7915 recurring mutations (involving 5146 positions) during December2019-November 2020. Among these, 10 and 51 are...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178965/ https://www.ncbi.nlm.nih.gov/pubmed/34109017 http://dx.doi.org/10.1016/j.csbj.2021.05.054 |
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author | Patro, L. Ponoop Prasad Sathyaseelan, Chakkarai Uttamrao, Patil Pranita Rathinavelan, Thenmalarchelvi |
author_facet | Patro, L. Ponoop Prasad Sathyaseelan, Chakkarai Uttamrao, Patil Pranita Rathinavelan, Thenmalarchelvi |
author_sort | Patro, L. Ponoop Prasad |
collection | PubMed |
description | The knowledge about SARS-CoV-2 proteome variations is important to understand its evolutionary tactics and in drug/vaccine design. An extensive analysis of 125,747 whole proteome reveals 7915 recurring mutations (involving 5146 positions) during December2019-November 2020. Among these, 10 and 51 are highly and moderately recurring mutations respectively. Ever since the pandemic outbreak, ∼50% new proteome variants evolve every month, resulting in 5 major clades. Intriguingly, ∼70% of the variants reported in January 2020 are due to the emergence of new mutations, which sharply declines to ∼ 40% in April 2020 and thenceforth, declines steadily till November 2020(∼10%). An exactly opposite trend is seen for variants evolved with cocktail of existing mutations: the lowest in January 2020(∼20%) and the highest in November 2020(80%). This leads to a steady increase in the average number of mutations per sequence. This indicates that the virus has reached the slow pace to accept new mutations. Instead, it uses a mutation combination strategy for survival. |
format | Online Article Text |
id | pubmed-8178965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-81789652021-06-05 The evolving proteome of SARS-CoV-2 predominantly uses mutation combination strategy for survival Patro, L. Ponoop Prasad Sathyaseelan, Chakkarai Uttamrao, Patil Pranita Rathinavelan, Thenmalarchelvi Comput Struct Biotechnol J Research Article The knowledge about SARS-CoV-2 proteome variations is important to understand its evolutionary tactics and in drug/vaccine design. An extensive analysis of 125,747 whole proteome reveals 7915 recurring mutations (involving 5146 positions) during December2019-November 2020. Among these, 10 and 51 are highly and moderately recurring mutations respectively. Ever since the pandemic outbreak, ∼50% new proteome variants evolve every month, resulting in 5 major clades. Intriguingly, ∼70% of the variants reported in January 2020 are due to the emergence of new mutations, which sharply declines to ∼ 40% in April 2020 and thenceforth, declines steadily till November 2020(∼10%). An exactly opposite trend is seen for variants evolved with cocktail of existing mutations: the lowest in January 2020(∼20%) and the highest in November 2020(80%). This leads to a steady increase in the average number of mutations per sequence. This indicates that the virus has reached the slow pace to accept new mutations. Instead, it uses a mutation combination strategy for survival. Research Network of Computational and Structural Biotechnology 2021-06-05 /pmc/articles/PMC8178965/ /pubmed/34109017 http://dx.doi.org/10.1016/j.csbj.2021.05.054 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Patro, L. Ponoop Prasad Sathyaseelan, Chakkarai Uttamrao, Patil Pranita Rathinavelan, Thenmalarchelvi The evolving proteome of SARS-CoV-2 predominantly uses mutation combination strategy for survival |
title | The evolving proteome of SARS-CoV-2 predominantly uses mutation combination strategy for survival |
title_full | The evolving proteome of SARS-CoV-2 predominantly uses mutation combination strategy for survival |
title_fullStr | The evolving proteome of SARS-CoV-2 predominantly uses mutation combination strategy for survival |
title_full_unstemmed | The evolving proteome of SARS-CoV-2 predominantly uses mutation combination strategy for survival |
title_short | The evolving proteome of SARS-CoV-2 predominantly uses mutation combination strategy for survival |
title_sort | evolving proteome of sars-cov-2 predominantly uses mutation combination strategy for survival |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178965/ https://www.ncbi.nlm.nih.gov/pubmed/34109017 http://dx.doi.org/10.1016/j.csbj.2021.05.054 |
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