Cargando…

Genomic Epidemiology of SARS-CoV-2 in Urban Settings in Senegal

We used whole genome sequencing to identify and analyze mutations in SARS-CoV-2 in urban settings during the deadliest wave of the COVID-19 epidemic—from March to April 2021—in Senegal. Nasopharyngeal samples testing positive for SARS-CoV-2 were sequenced on the Illumina NovaSeq 6000 sequencing syst...

Descripción completa

Detalles Bibliográficos
Autores principales: Ndiaye, Anna Julienne Selbé, Beye, Mamadou, Lo, Gora, Kacel, Idir, Sow, Aissatou, Leye, Nafissatou, Padane, Abdou, Mboup, Aminata, Diop-Ndiaye, Halimatou, Sokhna, Cheikh, Kane, Coumba Touré, Colson, Philippe, Fenollar, Florence, Mboup, Souleymane, Fournier, Pierre-Edouard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302768/
https://www.ncbi.nlm.nih.gov/pubmed/37376533
http://dx.doi.org/10.3390/v15061233
_version_ 1785065121422245888
author Ndiaye, Anna Julienne Selbé
Beye, Mamadou
Lo, Gora
Kacel, Idir
Sow, Aissatou
Leye, Nafissatou
Padane, Abdou
Mboup, Aminata
Diop-Ndiaye, Halimatou
Sokhna, Cheikh
Kane, Coumba Touré
Colson, Philippe
Fenollar, Florence
Mboup, Souleymane
Fournier, Pierre-Edouard
author_facet Ndiaye, Anna Julienne Selbé
Beye, Mamadou
Lo, Gora
Kacel, Idir
Sow, Aissatou
Leye, Nafissatou
Padane, Abdou
Mboup, Aminata
Diop-Ndiaye, Halimatou
Sokhna, Cheikh
Kane, Coumba Touré
Colson, Philippe
Fenollar, Florence
Mboup, Souleymane
Fournier, Pierre-Edouard
author_sort Ndiaye, Anna Julienne Selbé
collection PubMed
description We used whole genome sequencing to identify and analyze mutations in SARS-CoV-2 in urban settings during the deadliest wave of the COVID-19 epidemic—from March to April 2021—in Senegal. Nasopharyngeal samples testing positive for SARS-CoV-2 were sequenced on the Illumina NovaSeq 6000 sequencing system using the COVIDSeq protocol. A total of 291 genotypable consensus genome sequences were obtained. Phylogenetic analyses grouped the genomes into 16 distinct PANGOLIN lineages. The major lineage was B.1.1.420, despite circulation of the Alpha variant of concern (VOC). A total of 1125 different SNPs, identified relative to the Wuhan reference genome, were detected. These included 13 SNPs in non-coding regions. An average density of 37.2 SNPs per 1000 nucleotides was found, with the highest density occurring in ORF10. This analysis allowed, for the first time, the detection of a Senegalese SARS-CoV-2 strain belonging to the P.1.14 (GR/20J, Gamma V3) sublineage of the Brazilian P.1 lineage (or Gamma VOC). Overall, our results highlight substantial SARS-CoV-2 diversification in Senegal during the study period.
format Online
Article
Text
id pubmed-10302768
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-103027682023-06-29 Genomic Epidemiology of SARS-CoV-2 in Urban Settings in Senegal Ndiaye, Anna Julienne Selbé Beye, Mamadou Lo, Gora Kacel, Idir Sow, Aissatou Leye, Nafissatou Padane, Abdou Mboup, Aminata Diop-Ndiaye, Halimatou Sokhna, Cheikh Kane, Coumba Touré Colson, Philippe Fenollar, Florence Mboup, Souleymane Fournier, Pierre-Edouard Viruses Article We used whole genome sequencing to identify and analyze mutations in SARS-CoV-2 in urban settings during the deadliest wave of the COVID-19 epidemic—from March to April 2021—in Senegal. Nasopharyngeal samples testing positive for SARS-CoV-2 were sequenced on the Illumina NovaSeq 6000 sequencing system using the COVIDSeq protocol. A total of 291 genotypable consensus genome sequences were obtained. Phylogenetic analyses grouped the genomes into 16 distinct PANGOLIN lineages. The major lineage was B.1.1.420, despite circulation of the Alpha variant of concern (VOC). A total of 1125 different SNPs, identified relative to the Wuhan reference genome, were detected. These included 13 SNPs in non-coding regions. An average density of 37.2 SNPs per 1000 nucleotides was found, with the highest density occurring in ORF10. This analysis allowed, for the first time, the detection of a Senegalese SARS-CoV-2 strain belonging to the P.1.14 (GR/20J, Gamma V3) sublineage of the Brazilian P.1 lineage (or Gamma VOC). Overall, our results highlight substantial SARS-CoV-2 diversification in Senegal during the study period. MDPI 2023-05-24 /pmc/articles/PMC10302768/ /pubmed/37376533 http://dx.doi.org/10.3390/v15061233 Text en © 2023 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
Ndiaye, Anna Julienne Selbé
Beye, Mamadou
Lo, Gora
Kacel, Idir
Sow, Aissatou
Leye, Nafissatou
Padane, Abdou
Mboup, Aminata
Diop-Ndiaye, Halimatou
Sokhna, Cheikh
Kane, Coumba Touré
Colson, Philippe
Fenollar, Florence
Mboup, Souleymane
Fournier, Pierre-Edouard
Genomic Epidemiology of SARS-CoV-2 in Urban Settings in Senegal
title Genomic Epidemiology of SARS-CoV-2 in Urban Settings in Senegal
title_full Genomic Epidemiology of SARS-CoV-2 in Urban Settings in Senegal
title_fullStr Genomic Epidemiology of SARS-CoV-2 in Urban Settings in Senegal
title_full_unstemmed Genomic Epidemiology of SARS-CoV-2 in Urban Settings in Senegal
title_short Genomic Epidemiology of SARS-CoV-2 in Urban Settings in Senegal
title_sort genomic epidemiology of sars-cov-2 in urban settings in senegal
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302768/
https://www.ncbi.nlm.nih.gov/pubmed/37376533
http://dx.doi.org/10.3390/v15061233
work_keys_str_mv AT ndiayeannajulienneselbe genomicepidemiologyofsarscov2inurbansettingsinsenegal
AT beyemamadou genomicepidemiologyofsarscov2inurbansettingsinsenegal
AT logora genomicepidemiologyofsarscov2inurbansettingsinsenegal
AT kacelidir genomicepidemiologyofsarscov2inurbansettingsinsenegal
AT sowaissatou genomicepidemiologyofsarscov2inurbansettingsinsenegal
AT leyenafissatou genomicepidemiologyofsarscov2inurbansettingsinsenegal
AT padaneabdou genomicepidemiologyofsarscov2inurbansettingsinsenegal
AT mboupaminata genomicepidemiologyofsarscov2inurbansettingsinsenegal
AT diopndiayehalimatou genomicepidemiologyofsarscov2inurbansettingsinsenegal
AT sokhnacheikh genomicepidemiologyofsarscov2inurbansettingsinsenegal
AT kanecoumbatoure genomicepidemiologyofsarscov2inurbansettingsinsenegal
AT colsonphilippe genomicepidemiologyofsarscov2inurbansettingsinsenegal
AT fenollarflorence genomicepidemiologyofsarscov2inurbansettingsinsenegal
AT mboupsouleymane genomicepidemiologyofsarscov2inurbansettingsinsenegal
AT fournierpierreedouard genomicepidemiologyofsarscov2inurbansettingsinsenegal