Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: Oyola, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
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
_version_ 1785146322059264000
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