Analysis of SARS-CoV-2 Genomes from West Java, Indonesia.
COVID-19
/ pathology
Coronavirus Nucleocapsid Proteins
/ genetics
Coronavirus Papain-Like Proteases
/ genetics
Coronavirus RNA-Dependent RNA Polymerase
/ genetics
Disease Hotspot
Female
Genome, Viral
/ genetics
Humans
Indonesia
Male
Molecular Docking Simulation
Mutation
/ genetics
Phosphoproteins
/ genetics
Protein Stability
SARS-CoV-2
/ genetics
Spike Glycoprotein, Coronavirus
/ genetics
Viral Proteins
/ genetics
Viroporin Proteins
/ genetics
Whole Genome Sequencing
Indonesia
SARS-CoV-2
West Java
mutation
protein stability
variant
Journal
Viruses
ISSN: 1999-4915
Titre abrégé: Viruses
Pays: Switzerland
ID NLM: 101509722
Informations de publication
Date de publication:
18 10 2021
18 10 2021
Historique:
received:
18
09
2021
revised:
12
10
2021
accepted:
14
10
2021
entrez:
26
10
2021
pubmed:
27
10
2021
medline:
11
11
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34696527
pii: v13102097
doi: 10.3390/v13102097
pmc: PMC8538575
pii:
doi:
Substances chimiques
Coronavirus Nucleocapsid Proteins
0
ORF3a protein, SARS-CoV-2
0
Phosphoproteins
0
Spike Glycoprotein, Coronavirus
0
Viral Proteins
0
Viroporin Proteins
0
nucleocapsid phosphoprotein, SARS-CoV-2
0
spike protein, SARS-CoV-2
0
Coronavirus RNA-Dependent RNA Polymerase
EC 2.7.7.48
NSP12 protein, SARS-CoV-2
EC 2.7.7.48
Coronavirus Papain-Like Proteases
EC 3.4.22.2
papain-like protease, SARS-CoV-2
EC 3.4.22.2
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
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