Evidence map›Paper›PMID 39108880›Full record

ArticleHeliyon2024

Genomic analysis of three SARS-CoV-2 waves in west Sumatra: Evolutionary dynamics and variant clustering.

Linosefa Linosefa, Hasmiwati Hasmiwati, Jamsari Jamsari, Andani Eka Putra

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Linosefa LinosefaDepartment of Microbiology, Faculty of Medicine, Universitas Andalas, Padang, Indonesia.
Hasmiwati HasmiwatiDepartment of Parasitology, Faculty of Medicine, Universitas Andalas, Padang, Indonesia.
Jamsari JamsariMaster program of Biotechnology, Universitas Andalas, Padang, Indonesia.
Andani Eka PutraDepartment of Microbiology, Faculty of Medicine, Universitas Andalas, Padang, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Severe Acute Respiratory Syndrome Coronavirus 2 virus (SARS-CoV-2) has been undergoing evolutionary changes to improve its ability to thrive within human hosts, leading to the emergence of specific variants associated with subsequent waves of the coronavirus diseases 2019 (COVID-19) pandemic. Indonesia has grappled with the effects of this pandemic and subsequent waves affecting various regions, including West Sumatra. Although located outside Java island epicenter, West Sumatra experienced significant COVID-19 transmission, especially during the third wave in early 2022. Objective: This study aimed to investigate the genetic evolution and epidemiological dynamics of SARS-CoV-2 variants in West Sumatra throughout the three pandemic waves. Methods: We conducted a genotyping study retrospectively using 278 COVID-19 patient samples from 2020 to 2022. The Real-Time Quantitative Reverse Transcription PCR (RT-qPCR) was used for screening, and whole-genome sequence analysis was conducted through the Illumina MiSeq instrument. Result: The analysis revealed distinct patterns in the prevalence of viral lineages across the waves. The initial wave was predominated by clade 20A (77,4 %) especially lineage B.1.466.2 (50 %). The second wave was marked by a significant emergence of the Delta variant (72,5 %), particularly lineage AY.23 (81,1 %), originating from India, with subsequent local evolution leading to the formation of distinct clusters. We found that about 96,7 % of the third wave variant was dominated by Omicron variants, especially the generation of lineages BA.1 and BA.2, demonstrating widespread global dissemination and local variant development. Phylogenetic analysis indicated a close relatedness of West Sumatra variants to those from Malaysia and other parts of Indonesia, highlighting regional transmission dynamics and potential sources of variant introductions. Conclusion: This study has identified unique variant clusters within each wave, suggesting distinct evolutionary pathways and local adaptations. These findings provide valuable insights into the genomic landscape of SARS-CoV-2 in West Sumatra and emphasize the crucial role of ongoing genomic surveillance in tracking viral changes and guiding public health measures.

Indexed as

COVID-19Genomic surveillancePhylogenetic analysisTransmission dynamicsViral evolutionWhole genome sequencing

Identifiers

PMID39108880
PMCPMC11301352

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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.