Evidence map›Paper›PMID 34166886›Full record

ArticleComputational biology and chemistry2021

Molecular insight into the genomic variation of SARS-CoV-2 strains from current outbreak.

Avizit Das, Sarah Khurshid, Aleya Ferdausi, Eshita Sadhak Nipu, Amit Das, Fee Faysal Ahmed

Open access · greenAbstract read
In one paragraph

Article in Computational biology and chemistry, 2021. 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
0.2field-weighted citation impact, top 47% 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, 3 citations in OpenAlex.

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

Avizit DasDepartment of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore, 7408, Khulna, Bangladesh. Electronic address: avizitdbmb@just.edu.bd.
Sarah KhurshidLaboratory of Gut-Brain Signaling, Laboratory Sciences and Services Division (LSSD), icddr,b, Dhaka, 1212, Bangladesh. Electronic address: sarah.khurshid99@gmail.com.
Aleya FerdausiDepartment of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh, 2202, Mymensingh, Bangladesh. Electronic address: aferdausi.gpb@bau.edu.bd.
Eshita Sadhak NipuUpazilla Health Complex, Nazirpur, Pirojpur, Barishal, 8540, Barishal, Bangladesh. Electronic address: eshita.nipu@gmail.com.
Amit DasGafargaon Islamia Govt. High School, Gafargaon, Mymensingh, Dhaka, 2230, Dhaka, Bangladesh. Electronic address: amitbau007@yahoo.com.
Fee Faysal AhmedDepartment of Mathematics, Jashore University of Science and Technology, Jashore, 7408, Bangladesh. Electronic address: ffa.math@just.edu.bd.
Bangladesh Agricultural University · BDInternational Centre for Diarrhoeal Disease Research · BDUniversity of Barisal · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is the newly emerging viral disease, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The epidemic sparked in December 2019 at Wuhan city, China that causes a large global outbreak and a major public health catastrophe. Till now, more than 129 million positive cases have been reported in which more than 2.81 million were dead, surveyed by Johns Hopkins University, USA. The diverse symptoms of COVID-19 and an increased number of positive cases throughout the world hypothesize that this virus assembles more variants that are preventing the pursuit of its adequate treatment as well as the development of the vaccine. In this study, 715 SARS-CoV-2 genomes were retrieved from the gisaid and NCBI viral resources involving 39 countries and 164 different types of variants were identified based on 108 Single Nucleotide Polymorphisms (SNPs) in which the ancestral type of SARS-CoV-2 was found as the most frequent and the most prevalent in China. Moreover, variant type A104 was identified as the most frequent in the USA and A52 in Japan. The study also recognized the most common SNPs such as 241, 3037, 8782, 11083, 14408, 23403, and 28144 as well as variants regarding base-pair, C > T. A total of 65 non-synonymous SNPs were recognized which were mostly located in nucleocapsid phosphoprotein, Non-structural protein 3(Nsp3), and spike glycoprotein encoding gene. Molecular divergence analysis revealed that this virus was phylogenetically related to Yunnan 2013 bat strain. This study indicates SARS-CoV-2 frequently alters their genetic material, which mostly affects the nucleocapsid phosphoprotein, and spike glycoprotein-encoding gene and makes it very challenging to develop SARS-Cov-2 vaccine and antibody-mediated rapid diagnostic kit.

Indexed as

Genome, ViralCoronavirus Nucleocapsid ProteinsCOVID-19Disease OutbreaksEvolution, MolecularGenomicsPhosphoproteinsPhylogenyPolymorphism, Single NucleotideSARS-CoV-2Spike Glycoprotein, CoronavirusCoronavirus Nucleocapsid Proteinsnucleocapsid phosphoprotein, SARS-CoV-2PhosphoproteinsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19Nsp3Nucleocapsid phosphoproteinSARS-CoV-2SNPSpike glycoprotein

Identifiers

PMID34166886
PMCPMC8216673
OpenAlexW3176212777

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.