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Whole-genome sequencing of SARS-CoV-2 in Uganda: implementation of the low-cost ARTIC protocol in resource-limited settings [version 1; peer review: 2 approved]

Authors :
Gerald Mboowa
Savannah Mwesigwa
David Kateete
Misaki Wayengera
Emmanuel Nasinghe
Eric Katagirya
Ashaba Fred Katabazi
Edgar Kigozi
Samuel Kirimunda
Rogers Kamulegeya
Jupiter Marina Kabahita
Moses Nsubuga Luutu
Patricia Nabisubi
Stephen Kanyerezi
Bernard Ssentalo Bagaya
Moses L Joloba
Author Affiliations :
<relatesTo>1</relatesTo>Immunology and Molecular Biology, Makerere University, Kampala, Uganda<br /><relatesTo>2</relatesTo>The African Center of Excellence in Bioinformatics and Data-Intensive Sciences, The Infectious Diseases Institute, Kampala, Uganda<br /><relatesTo>3</relatesTo>The Supranational Tuberculosis Reference Laboratory, Uganda National Health Laboratories - UNHLS, Luzira, Uganda
Source :
F1000Research. 10:598
Publication Year :
2021
Publisher :
London, UK: F1000 Research Limited, 2021.

Abstract

Background: In January 2020, a previously unknown coronavirus strain was identified as the cause of a severe acute respiratory syndrome (SARS-CoV-2). The first viral whole-genome was sequenced using high-throughput sequencing from a sample collected in Wuhan, China. Whole-genome sequencing (WGS) is imperative in investigating disease outbreak transmission dynamics and guiding decision-making in public health. Methods: We retrieved archived SARS-CoV-2 samples at the Integrated Biorepository of H3Africa Uganda, Makerere University (IBRH3AU). These samples were collected previously from individuals diagnosed with coronavirus disease 2019 (COVID-19) using real-time reverse transcription quantitative polymerase chain reaction (RT-qPCR). 30 samples with cycle thresholds (Cts) values Results: 28 out of 30 (93.3%) samples generated analyzable genomic sequence reads. We detected SARS-CoV-2 and lineages A (22/28) and B (6/28) from the samples. We further show phylogenetic relatedness of these isolates alongside other 328 Uganda (lineage A = 222, lineage B = 106) SARS-CoV-2 genomes available in GISAID by April 22, 2021 and submitted by the Uganda Virus Research Institute. Conclusions: Our study demonstrated adoption and optimization of the low-cost ARTIC SARS-CoV-2 WGS protocol in a resource limited laboratory setting. This work has set a foundation to enable rapid expansion of SARS-CoV-2 WGS in Uganda as part of the Presidential Scientific Initiative on Epidemics (PRESIDE) CoV-bank project and IBRH3AU.

Details

ISSN :
20461402
Volume :
10
Database :
F1000Research
Journal :
F1000Research
Notes :
[version 1; peer review: 2 approved]
Publication Type :
Academic Journal
Accession number :
edsfor.10.12688.f1000research.53567.1
Document Type :
research-article
Full Text :
https://doi.org/10.12688/f1000research.53567.1