Evidence map›Paper›PMID 34464419›Full record

ArticlePloS one2021

Higher entropy observed in SARS-CoV-2 genomes from the first COVID-19 wave in Pakistan.

Najia Karim Ghanchi, Asghar Nasir, Kiran Iqbal Masood, Syed Hani Abidi, Syed Faisal Mahmood, Akbar Kanji, Safina Razzak, Waqasuddin Khan, Saba Shahid, Maliha Yameen and 7 more

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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  20. A fractal scaling analysis of the SARS-CoV-2 genome sequence.Biomedical signal processing and control · 2022
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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

17 authors.

Najia Karim GhanchiDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Asghar NasirDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Kiran Iqbal MasoodDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Syed Hani AbidiDepartment of Biological and Biomedical Sciences, AKU, Karachi, Pakistan.
Syed Faisal MahmoodDepartment of Medicine, AKU, Karachi, Pakistan.
Akbar KanjiDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Safina RazzakDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Waqasuddin KhanDepartment of Pediatrics and Child Health, AKU, Karachi, Pakistan.ORCID 0000-0001-7995-8163
Saba ShahidDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Maliha YameenDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Ali RazaDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Javaria AshrafDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Zeeshan AnsarDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Mohammad Buksh DharejoDepartment of Health, Government of Sindh, Karachi, Pakistan.
Nazneen IslamDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Zahra HasanDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.ORCID 0000-0001-7580-372X
Rumina HasanDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated the genome diversity of SARS-CoV-2 associated with the early COVID-19 period to investigate evolution of the virus in Pakistan. MATERIALS AND

methodsWe studied ninety SARS-CoV-2 strains isolated between March and October 2020. Whole genome sequences from our laboratory and available genomes were used to investigate phylogeny, genetic variantion and mutation rates of SARS-CoV-2 strains in Pakistan. Site specific entropy analysis compared mutation rates between strains isolated before and after June 2020.

resultsIn March, strains belonging to L, S, V and GH clades were observed but by October, only L and GH strains were present. The highest diversity of clades was present in Sindh and Islamabad Capital Territory and the least in Punjab province. Initial introductions of SARS-CoV-2 GH (B.1.255, B.1) and S (A) clades were associated with overseas travelers. Additionally, GH (B.1.255, B.1, B.1.160, B.1.36), L (B, B.6, B.4), V (B.4) and S (A) clades were transmitted locally. SARS-CoV-2 genomes clustered with global strains except for ten which matched Pakistani isolates. RNA substitution rates were estimated at 5.86 x10-4. The most frequent mutations were 5' UTR 241C > T, Spike glycoprotein D614G, RNA dependent RNA polymerase (RdRp) P4715L and Orf3a Q57H. Strains up until June 2020 exhibited an overall higher mean and site-specific entropy as compared with sequences after June. Relative entropy was higher across GH as compared with GR and L clades. More sites were under selection pressure in GH strains but this was not significant for any particular site.

conclusionsThe higher entropy and diversity observed in early pandemic as compared with later strains suggests increasing stability of the genomes in subsequent COVID-19 waves. This would likely lead to the selection of site-specific changes that are advantageous to the virus, as has been currently observed through the pandemic.

Indexed as

Genome, Viral5' Untranslated RegionsCOVID-19Genetic VariationHumansMutationNasopharynxPakistanPandemicsPhylogenyRNA-Dependent RNA PolymeraseSARS-CoV-2Spike Glycoprotein, CoronavirusWhole Genome Sequencing5' Untranslated RegionsRNA-Dependent RNA PolymeraseSpike Glycoprotein, Coronavirus

Identifiers

PMID34464419
PMCPMC8407562

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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.