Evidence map›Paper›PMID 34696527›Full record

ArticleViruses2021

Analysis of SARS-CoV-2 Genomes from West Java, Indonesia.

Azzania Fibriani, Rebecca Stephanie, Afifah Alifia Alfiantie, Agust Leo Fany Siregar, Gusti Ayu Prani Pradani, Nicholas Yamahoki, William Steflandel Purba, Cut Nur Cinthia Alamanda, Ema Rahmawati, Rifky Waluyajati Rachman and 2 more

Abstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

12 authors.

Azzania FibrianiBandung Institute of Technology, Bandung, West Java 40132, Indonesia.ORCID 0000-0003-4319-6966
Rebecca StephanieBandung Institute of Technology, Bandung, West Java 40132, Indonesia.ORCID 0000-0002-4765-4613
Afifah Alifia AlfiantieBandung Institute of Technology, Bandung, West Java 40132, Indonesia.
Agust Leo Fany SiregarBandung Institute of Technology, Bandung, West Java 40132, Indonesia.ORCID 0000-0002-1691-120X
Gusti Ayu Prani PradaniBandung Institute of Technology, Bandung, West Java 40132, Indonesia.
Nicholas YamahokiBandung Institute of Technology, Bandung, West Java 40132, Indonesia.ORCID 0000-0002-1225-4732
William Steflandel PurbaBandung Institute of Technology, Bandung, West Java 40132, Indonesia.
Cut Nur Cinthia AlamandaWest Java Health Laboratory, Bandung, West Java 40161, Indonesia.
Ema RahmawatiWest Java Health Laboratory, Bandung, West Java 40161, Indonesia.
Rifky Waluyajati RachmanWest Java Health Laboratory, Bandung, West Java 40161, Indonesia.
Rini RobianiWest Java Health Laboratory, Bandung, West Java 40161, Indonesia.
Ryan Bayusantika RistandiWest Java Health Laboratory, Bandung, West Java 40161, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

West Java Health Laboratory (WJHL) is one of the many institutions in Indonesia that have sequenced SARS-CoV-2 genome. Although having submitted a large number of sequences since September 2020, however, these submitted data lack advanced analyses. Therefore, in this study, we analyze the variant distribution, hotspot mutation, and its impact on protein structure and function of SARS-CoV-2 from the collected samples from WJHL. As many as one hundred sixty-three SARS-CoV-2 genome sequences submitted by West Java Health Laboratory (WJHL), with collection dates between September 2020 and June 2021, were retrieved from GISAID. Subsequently, the frequency and distribution of non-synonymous mutations across different cities and regencies from these samples were analyzed. The effect of the most prevalent mutations from dominant variants on the stability of their corresponding proteins was examined. The samples mostly consisted of people of working-age, and were distributed between female and male equally. All of the sample sequences showed varying levels of diversity, especially samples from West Bandung which carried the highest diversity. Dominant variants are the VOC B.1.617.2 (Delta) variant, B.1.466.2 variant, and B.1.470 variant. The genomic regions with the highest number of mutations are the spike, NSP3, nucleocapsid, NSP12, and ORF3a protein. Mutation analysis showed that mutations in structural protein might increase the stability of the protein. Oppositely, mutations in non-structural protein might lead to a decrease in protein stability. However, further research to study the impact of mutations on the function of SARS-CoV-2 proteins are required.

Indexed as

Coronavirus Nucleocapsid ProteinsCoronavirus Papain-Like ProteasesCoronavirus RNA-Dependent RNA PolymeraseCOVID-19Disease HotspotFemaleGenome, ViralHumansIndonesiaMaleMolecular Docking SimulationMutationPhosphoproteinsProtein StabilitySARS-CoV-2Spike Glycoprotein, CoronavirusCoronavirus Nucleocapsid ProteinsCoronavirus Papain-Like ProteasesCoronavirus RNA-Dependent RNA PolymeraseNSP12 protein, SARS-CoV-2nucleocapsid phosphoprotein, SARS-CoV-2ORF3a protein, SARS-CoV-2papain-like protease, SARS-CoV-2PhosphoproteinsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Viral ProteinsViroporin ProteinsIndonesiamutationprotein stabilitySARS-CoV-2variantWest Java

Identifiers

PMID34696527
PMCPMC8538575

What OpenQuestion holds

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LicenceCC BY
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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.