Evidence map›Paper›PMID 41048582›Full record

ArticleOBM genetics2025

Reflective Evaluation of Next-Generation Sequencing Data during Early Phase Detection of the Delta Variant.

Upasana Ramphal, Derek Tshiabuila, Yajna Ramphal, Jennifer Giandhari, Carel van Heerden, Cheryl Baxter, Stephanie van Wyk, Sureshnee Pillay, Oluwakemi Laguda-Akingba, Eduan Wilkinson and 2 more

Abstract read
In one paragraph

Article in OBM genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Upasana RamphalKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Derek TshiabuilaCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Yajna RamphalCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Jennifer GiandhariKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Carel van HeerdenCentral Analytical Facilities (CAF), Stellenbosch University, Stellenbosch, South Africa.
Cheryl BaxterCenter for AIDS Programme of Research in South Africa (CAPRISA), Durban, South.
Stephanie van WykCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Sureshnee PillayKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Oluwakemi Laguda-AkingbaFaculty of Health Sciences, Walter Sisulu University and National Health Laboratory Service Gqeberha, Port Elizabeth, Eastern Cape, South Africa.
Eduan WilkinsonKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Richard LessellsKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Tulio de OliveiraKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.

Funding

University of Washington Arboviral Research Network (UWARN)U01AI151698 · NIAID · UNIVERSITY OF WASHINGTON · PI Michael Gale, PETER MACGARR RABINOWITZ · 2020 to 2026
$13.3M
NIAID NIH HHS U01 AI151698Wellcome Trust
6 · The paper itself

Abstract

During the SARS-CoV-2 pandemic, next-generation sequencing (NGS) technologies like the Ion Torrent S5 and Illumina MiSeq, alongside advanced software, improved genomic surveillance in South Africa. This study analysed anonymized samples from the Eastern Cape using Genome Detective and NextClade, showing Ion Torrent S5 and Illumina MiSeq success rates of 96% and 94%, respectively. The study focused on genomic coverage (above 80%) and mutation detection (below 100), with the Ion Torrent S5 achieving 99% coverage compared to Illumina MiSeq's 80%, likely due to different primers used in amplification. The Ion Torrent S5 was more effective in sequencing varied viral loads, whereas Illumina MiSeq had difficulties with lower loads. Both platforms were adept at identifying clades, successfully differentiating between Beta (<45%) and Delta variants (<30%), despite minor discrepancies in assignments due to Illumina MiSeq's lower coverage, leading to a failure rate of up to 6%. Manual library preparation showed similar sample processing and clade identification capabilities for both platforms. However, differences in sequencing duration (3.5 vs. 36 hours), automation level, genomic coverage (80% vs. 99%), and viral load compatibility were noted, highlighting each platform's unique advantages and challenges in SARS-CoV-2 genomic surveillance. In conclusion, the Illumina MiSeq and Ion Torrent S5 platforms are both efficacious in executing whole-genome sequencing (WGS) via amplicons, facilitating precise, accurate, and high-throughput examinations of SARS-CoV-2 viral genomes. However, it is important to note the existence of disparities in the quality of data produced by each platform. Each system offers unique benefits and limitations, rendering them viable choices for the genomic surveillance of SARS-CoV-2.

Indexed as

data analysisgenomic surveillanceIllumina MiSeqIon Torrent S5Next-generation-sequencing (NGS)SARS-CoV-2viral load

Identifiers

PMID41048582
PMCPMC12494147

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.