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1.
researchsquare; 2022.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-2310293.v1

ABSTRACT

Background: Genomic surveillance, with the aid of next-generation sequencing (NGS) technologies, revolutionized the SARS-CoV-2 pandemic. Coupled with high-performance analysis software, methodologies such as the Ion Torrent S5 and Illumina MiSeq dramatically improved the genomic surveillance capacity within South Africa during the height of the pandemic. Using de-identified remnant samples collected from Eastern Cape and analysis software, Genome Detective and NextClade, we compared the sequencing process, genomic coverage, quantification of mutations, and clade classification from sequence data generated by these two common “benchtop” NGS platforms. Results: Sequence data analysis revealed success rates of 175/183 (96%) and 172/183 (94%) on the Ion Torrent S5 and Illumina MiSeq, respectively. Internal quality metrics were assessed in terms of genomic coverage (>80%) and the number of mutations identified (<100). A greater number of higher-genomic coverage sequences were generated on the Ion Torrent S5 (99%) than on the Illumina MiSeq (80%) and <100 mutations was obtained by both platforms. Ion Torrent S5 generated high coverage sequences from samples having a broader range of viral loads (VL) compared to the Illumina MiSeq, which was less successful in sequencing samples with lower viral loads. Clade assignments were comparable across platforms which accurately differentiated between Beta (<45%) and Delta (≤30%) VOCs. A disparity in clade assignment was observed in <10% of sequences due to poor coverage obtained on the Illumina MiSeq, followed by a failure rate of ≤6% across the two platforms. Manual library preparation found both methods similar in terms of sample processing, handling of larger sample quantities, and clade assignment for SARS-CoV-2. Variability between the Ion Torrent S5 and Illumina MiSeq was observed in sequencing run duration (3,5 hrs vs 36 hrs), sequencing process (semi-automation vs manual), genomic coverage (99% vs 80%), and viral load requirements (broad range vs high VL). Conclusion: The Illumina MiSeq and Ion Torrent S5 are both reliable platforms capable of performing WGS with the use of amplicons and providing specific, accurate, and high throughput analysis of the SARS-CoV-2 whole viral genomes. Both sequencing platforms are feasible platforms for the genomic surveillance of SARS-CoV-2, each with its specific advantages and trade-offs.

2.
Raquel Viana; Sikhulile Moyo; Daniel Gyamfi Amoako; Houriiyah Tegally; Cathrine Scheepers; Richard J Lessells; Jennifer Giandhari; Nicole Wolter; Josie Everatt; Andrew Rambaut; Christian Althaus; Eduan Wilkinson; Adriano Mendes; Amy Strydom; Michaela Davids; Simnikiwe Mayaphi; Simani Gaseitsiwe; Wonderful T Choga; Dorcas Maruapula; Boitumelo Zuze; Botshelo Radibe; Legodile Koopile; Roger Shapiro; Shahin Lockman; Mpaphi B. Mbulawa; Thongbotho Mphoyakgosi; Pamela Smith-Lawrence; Mosepele Mosepele; Mogomotsi Matshaba; Kereng Masupu; Mohammed Chand; Charity Joseph; Lesego Kuate-Lere; Onalethatha Lesetedi-Mafoko; Kgomotso Moruisi; Lesley Scott; Wendy Stevens; Constantinos Kurt Wibmer; Anele Mnguni; Arshad Ismail; Boitshoko Mahlangu; Darren P. Martin; Verity Hill; Rachel Colquhoun; Modisa S. Motswaledi; James Emmanuel San; Noxolo Ntuli; Gerald Motsatsi; Sureshnee Pillay; Thabo Mohale; Upasana Ramphal; Yeshnee Naidoo; Naume Tebeila; Marta Giovanetti; Koleka Mlisana; Carolyn Williamson; Nei-yuan Hsiao; Nokukhanya Msomi; Kamela Mahlakwane; Susan Engelbrecht; Tongai Maponga; Wolfgang Preiser; Zinhle Makatini; Oluwakemi Laguda-Akingba; Lavanya Singh; Ugochukwu J. Anyaneji; Monika Moir; Stephanie van Wyk; Derek Tshiabuila; Yajna Ramphal; Arisha Maharaj; Sergei Pond; Alexander G Lucaci; Steven Weaver; Maciej F Boni; Koen Deforche; Kathleen Subramoney; Diana Hardie; Gert Marais; Deelan Doolabh; Rageema Joseph; Nokuzola Mbhele; Luicer Olubayo; Arash Iranzadeh; Alexander E Zarebski; Joseph Tsui; Moritz UG Kraemer; Oliver G Pybus; Dominique Goedhals; Phillip Armand Bester; Martin M Nyaga; Peter N Mwangi; Allison Glass; Florette Treurnicht; Marietjie Venter; Jinal N. Bhiman; Anne von Gottberg; Tulio de Oliveira.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.12.19.21268028

ABSTRACT

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic in southern Africa has been characterised by three distinct waves. The first was associated with a mix of SARS-CoV-2 lineages, whilst the second and third waves were driven by the Beta and Delta variants respectively. In November 2021, genomic surveillance teams in South Africa and Botswana detected a new SARS-CoV-2 variant associated with a rapid resurgence of infections in Gauteng Province, South Africa. Within three days of the first genome being uploaded, it was designated a variant of concern (Omicron) by the World Health Organization and, within three weeks, had been identified in 87 countries. The Omicron variant is exceptional for carrying over 30 mutations in the spike glycoprotein, predicted to influence antibody neutralization and spike function4. Here, we describe the genomic profile and early transmission dynamics of Omicron, highlighting the rapid spread in regions with high levels of population immunity.


Subject(s)
Severe Acute Respiratory Syndrome
3.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.02.03.21251057

ABSTRACT

Background South Africa was the African country most severely affected by the SARS-CoV-2 pandemic during 2020, experiencing 2 waves of infection. During the first wave, diagnostics were largely based on reverse transcription-linked PCR (RT-PCR). The Abbott PanBio antigen test was deployed during the 2nd wave which was driven by emergence of the 501Y.v2 variant. At the time of evaluation in mid-November 2020, 501Y.v2 was the dominant circulating virus in Nelson Mandela Bay, in the Eastern Cape Province. Methods A prospective diagnostic evaluation study was undertaken, during a period of high community transmission, to evaluate the field performance of the PanBio antigen RTD. Testing was conducted at mobile community testing centres on 677 ambulant patients seeking SARS-CoV-2 testing. RT-PCR was performed on the original naso-pharyngeal antigen swabs to evaluate test performance. Results Of 146 RT-PCR positive individuals, 101 were RTD positive in the clinic. The antigen RTD had an overall sensitivity of 69.2% (95%CI 61.4, 75.8) and specificity of 99.0% (95%CI 98.8, 99.3) in this clinical context. Sensitivity was strongly dependent on the amount of virus in clinical samples, as reflected by the PCR cycle threshold (CT) value, with 100% detection in samples where the CT was <20, 96% with CT between 20-25, 89% with CT between 26-30 and 64% when CT was 31-35. Conclusions The assay reliably detected 501Y.v2 infections in ambulatory ill patients. Assay sensitivity was >90% in patients with high viral loads who are expected to be most infectious. Negative and positive predictive values were also >90%.

4.
medrxiv; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.12.21.20248640

ABSTRACT

Continued uncontrolled transmission of the severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) in many parts of the world is creating the conditions for significant virus evolution. Here, we describe a new SARS-CoV-2 lineage (501Y.V2) characterised by eight lineage-defining mutations in the spike protein, including three at important residues in the receptor-binding domain (K417N, E484K and N501Y) that may have functional significance. This lineage emerged in South Africa after the first epidemic wave in a severely affected metropolitan area, Nelson Mandela Bay, located on the coast of the Eastern Cape Province. This lineage spread rapidly, becoming within weeks the dominant lineage in the Eastern Cape and Western Cape Provinces. Whilst the full significance of the mutations is yet to be determined, the genomic data, showing the rapid displacement of other lineages, suggest that this lineage may be associated with increased transmissibility.

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