Evidence map›Paper›PMID 35399222›Full record

ArticleGene reports2022

The status and analysis of common mutations found in the SARS-CoV-2 whole genome sequences from Bangladesh.

Sadniman Rahman, Md Asaduzzaman Shishir, Md Ismail Hosen, Miftahul Jannat Khan, Ashiqul Arefin, Ashfaqul Muid Khandaker

Open access · greenAbstract read
In one paragraph

Article in Gene reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. A DNA-based non-infectious replicon system to study SARS-CoV-2 RNA synthesis.Computational and structural biotechnology journal · 2022
    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

6 authors at 3 institutions in 1 country.

Sadniman RahmanBranch of Genetics and Molecular Biology, Department of Zoology, University of Dhaka, Bangladesh.
Md Asaduzzaman ShishirDepartment of Microbiology, Primeasia University, Dhaka, Bangladesh.
Md Ismail HosenDepartment of Biochemistry and Molecular Biology, University of Dhaka, Bangladesh.
Miftahul Jannat KhanDepartment of Anesthesiology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh.
Ashiqul ArefinCombined Military Hospital, Dhaka, Bangladesh.
Ashfaqul Muid KhandakerBranch of Genetics and Molecular Biology, Department of Zoology, University of Dhaka, Bangladesh.
University of Dhaka · BDBangabandhu Sheikh Mujib Medical University · BDPrimeasia University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid emergence of covid-19 variants by continuous mutation made the world experience continuous waves of infections and as a result, a huge number of death-toll recorded so far. It is, therefore, very important to investigate the diversity and nature of the mutations in the SARS-CoV-2 genomes. In this study, the common mutations occurred in the whole genome sequences of SARS-CoV-2 variants of Bangladesh in a certain timeline were analyzed to better understand its status. Hence, a total of 78 complete genome sequences available in the NCBI database were obtained, aligned and further analyzed. Scattered Single Nucleotide Polymorphisms (SNPs) were identified throughout the genome of variants and common SNPs such as: 241:C>T in the 5'UTR of Open Reading Frame 1A (ORF1A), 3037: C>T in Non-structural Protein 3 (NSP3), 14,408: C>T in ORF6 and 23,402: A>G, 23,403: A>G in Spike Protein (S) were observed, but all of them were synonymous mutations. About 97% of the studied genomes showed a block of tri-nucleotide alteration (GGG>AAC), the most common non-synonymous mutation in the 28,881-28,883 location of the genome. This block results in two amino acid changes (203-204: RG>KR) in the SR rich motif of the nucleocapsid (N) protein of SARS-CoV-2, introducing a lysine in between serine and arginine. The N protein structure of the mutant was predicted through protein modeling. However, no observable difference was found between the mutant and the reference (Wuhan) protein. Further, the protein stability changes upon mutations were analyzed using the I-Mutant2.0 tool. The alteration of the arginine to lysine at the amino acid position 203, showed reduction of entropy, suggesting a possible impact on the overall stability of the N protein. The estimation of the non-synonymous to synonymous substitution ratio (dN/dS) were analyzed for the common mutations and the results showed that the overall mean distance among the N-protein variants were statistically significant, supporting the non-synonymous nature of the mutations. The phylogenetic analysis of the selected 78 genomes, compared with the most common genomic variants of this virus across the globe showed a distinct cluster for the analyzed Bangladeshi sequences. Further studies are warranted for conferring any plausible association of these mutations with the clinical manifestation.

Indexed as

ACE2, Angiotensin-Converting Enzyme 2Block mutationCDK, Cyclin Dependent KinasesCommon mutationsCoVs, CoronavirusesCOX2, Cyclooxygenase 2CTD, C-terminal DomainDGHS, General of Health ServicesECM, Extracellular Matrix ProteinERGIC, ER-Golgi intermediate compartmentGSK3, Glycogen Synthase Kinase 3IRF3, Interferon Regulatory Factor 3NFkB, Nuclear Factor kappa BNSP, Nonstructural ProteinNTD, N-terminal DomainORFs, Open Reading FramesPLP, Papain-like ProteaseRBD, Receptor-Binding DomainRdRp, RNA-dependent RNA polymeraseRTC, Replication–Transcription ComplexSARS-CoV-2sgRNAs, Sub-genomic RNAsSNP, Single Nucleotide PolymorphismSR rich motif+ssRNA, positive single-stranded RNATMPRSS2, Transmembrane Protease Serine 2

Identifiers

PMID35399222
PMCPMC8977224
OpenAlexW4223491504

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Registered trials

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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.