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Characterization of SARS-CoV-2 genetic evolution in vaccinated and non-vaccinated patients from the Kenyan population
Vaccination is a key control measure of COVID-19 by preventing severe effects of disease outcomes, reducing hospitalization rates and death, and increasing herd immunity. However, vaccination can affect the evolution and adaptation of SARS-CoV-2, largely through vaccine-induced immune pressure. Here...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Journal Experts
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635312/ https://www.ncbi.nlm.nih.gov/pubmed/37961584 http://dx.doi.org/10.21203/rs.3.rs-3457875/v1 |
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author | Oyola, Samuel |
author_facet | Oyola, Samuel |
author_sort | Oyola, Samuel |
collection | PubMed |
description | Vaccination is a key control measure of COVID-19 by preventing severe effects of disease outcomes, reducing hospitalization rates and death, and increasing herd immunity. However, vaccination can affect the evolution and adaptation of SARS-CoV-2, largely through vaccine-induced immune pressure. Here we investigated the recombination events and single nucleotide polymorphisms (SNPs) on SARS-CoV-2 genome in non-vaccinated and vaccinated patients in the Kenyan population. We identified recombination hotspots in the S, N, and ORF1a/b genes and showed the genetic evolution landscape of SARS-CoV-2 by comparing within-wave and inter-wave recombination events from the beginning of the pandemic (June 2020) to (October 2022) in Kenya. An in-depth analysis of (SNPs) on the S, ORf1a/b, and N genes identified previously unreported mutations. We detected a minority variant in non-vaccinated patients in Kenya, that contained immune escape mutation S255F of the spike gene and showing a differential recombination pattern within the non-vaccinated patients. Detailed analysis of recombination between waves suggested an association between increased population immunity and declining risk of emergence of variants of concern. Overall, this work identified unique mutations in SARS-CoV-2 which could have significant implications for virus evolution, virulence, and immune escape. |
format | Online Article Text |
id | pubmed-10635312 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-106353122023-11-13 Characterization of SARS-CoV-2 genetic evolution in vaccinated and non-vaccinated patients from the Kenyan population Oyola, Samuel Res Sq Article Vaccination is a key control measure of COVID-19 by preventing severe effects of disease outcomes, reducing hospitalization rates and death, and increasing herd immunity. However, vaccination can affect the evolution and adaptation of SARS-CoV-2, largely through vaccine-induced immune pressure. Here we investigated the recombination events and single nucleotide polymorphisms (SNPs) on SARS-CoV-2 genome in non-vaccinated and vaccinated patients in the Kenyan population. We identified recombination hotspots in the S, N, and ORF1a/b genes and showed the genetic evolution landscape of SARS-CoV-2 by comparing within-wave and inter-wave recombination events from the beginning of the pandemic (June 2020) to (October 2022) in Kenya. An in-depth analysis of (SNPs) on the S, ORf1a/b, and N genes identified previously unreported mutations. We detected a minority variant in non-vaccinated patients in Kenya, that contained immune escape mutation S255F of the spike gene and showing a differential recombination pattern within the non-vaccinated patients. Detailed analysis of recombination between waves suggested an association between increased population immunity and declining risk of emergence of variants of concern. Overall, this work identified unique mutations in SARS-CoV-2 which could have significant implications for virus evolution, virulence, and immune escape. American Journal Experts 2023-10-27 /pmc/articles/PMC10635312/ /pubmed/37961584 http://dx.doi.org/10.21203/rs.3.rs-3457875/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Oyola, Samuel Characterization of SARS-CoV-2 genetic evolution in vaccinated and non-vaccinated patients from the Kenyan population |
title | Characterization of SARS-CoV-2 genetic evolution in vaccinated and non-vaccinated patients from the Kenyan population |
title_full | Characterization of SARS-CoV-2 genetic evolution in vaccinated and non-vaccinated patients from the Kenyan population |
title_fullStr | Characterization of SARS-CoV-2 genetic evolution in vaccinated and non-vaccinated patients from the Kenyan population |
title_full_unstemmed | Characterization of SARS-CoV-2 genetic evolution in vaccinated and non-vaccinated patients from the Kenyan population |
title_short | Characterization of SARS-CoV-2 genetic evolution in vaccinated and non-vaccinated patients from the Kenyan population |
title_sort | characterization of sars-cov-2 genetic evolution in vaccinated and non-vaccinated patients from the kenyan population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635312/ https://www.ncbi.nlm.nih.gov/pubmed/37961584 http://dx.doi.org/10.21203/rs.3.rs-3457875/v1 |
work_keys_str_mv | AT oyolasamuel characterizationofsarscov2geneticevolutioninvaccinatedandnonvaccinatedpatientsfromthekenyanpopulation |