Evidence map›Paper›PMID 38238530›Full record

ArticleArchives of microbiology2024

A comprehensive profile of SARS-CoV-2 variants spreading during the COVID-19 pandemic: a genomic characterization study from Chhattisgarh State, India.

Sanjay Singh Negi, Kuldeep Sharma, Anudita Bhargava, Pushpendra Singh

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Sanjay Singh NegiDepartment of Microbiology, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.ORCID http://orcid.org/0000-0002-5292-9132
Kuldeep SharmaDepartment of Microbiology, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.ORCID http://orcid.org/0000-0001-9756-4483
Anudita BhargavaDepartment of Microbiology, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.ORCID http://orcid.org/0000-0001-6079-5421
Pushpendra SinghDepartment of Microbiology, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India. pushpendrabiotek@gmail.com.ORCID http://orcid.org/0000-0002-9619-0659
All India Institute of Medical Sciences Raipur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 has expressively changed its sequences during the COVID-19 pandemic situation by encompassing persistent evolutionary mutational changes resulting in the emergence of many clades and lineages. Evolution of these SARS-CoV-2 variants have significantly imparted fitness advantage to the virus, enhanced its transmissibility and severity of the disease. These new variants are a potential threat to the vaccine efficacy as well. It is therefore pertinent to monitor the evolution of these variants and their epidemiological and clinical impact, in a geographic setting. This study has thus looked into the geographic distribution and genetic diversity of SARS-CoV-2 variants and the evolutionary circulation of different clades in Chhattisgarh (CG) state from March 2020 to July 2023. A total of 3018 sequences were retrieved from the GISAID database, in which 558 were submitted by us. The demographic data revealed male preponderance of 56.45% versus 43.54% females, with the overall mean age of 36.5 years. SARS-CoV-2 sequences represented many variants viz., Delta (55%), Omicron (22%) and others (15%) with a small proportion of recombinant (5%), Kappa (2%), and Alpha (1%). The viral clades G was found predominant for a year from initial days of pandemic in March, 2020 to January, 2021 which then subsequently evoluted to subclade GK (Delta B.1.617.2) and remained in circulation in CG till November, 2021. From December 2021, the GRA (Omicron B.1.1.529) variant had replaced GK to become the dominant strain and continues to predominate in present time. GRA clade is however continuously encompassing new recombinant strains, having various non-synonymous mutations especially in spike protein. The non-synonymous mutation P314L in ORF1b, S84L in ORF8 and D614G in spike protein were found as the pan mutation carried over from clade G to GRA. The continuous evolution in SARS-CoV2 warrants periodical geographic genomic surveillance monitoring to timely detect any new variants having the potential of causing future outbreak.

Indexed as

COVID-19SARS-CoV-2AdultFemaleGenomicsHumansIndiaMaleMutationPandemicsRNA, ViralSpike Glycoprotein, CoronavirusRNA, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2ChhattisgarhDeltaGeneticMutationOmicronSARS-CoV-2Variants

Identifiers

PMID38238530
OpenAlexW4390971437

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.