Evidence map›Paper›PMID 35017872›Full record

ArticleJournal of global infectious diseases

Phylodynamic Pattern of Genetic Clusters, Paradigm Shift on Spatio-Temporal Distribution of Clades, and Impact of Spike Glycoprotein Mutations of SARS-CoV-2 Isolates from India.

Srinivasan Sivasubramanian, Vidya Gopalan, Kiruba Ramesh, Padmapriya Padmanabhan, Kiruthiga Mone, Karthikeyan Govindan, Selvakumar Velladurai, Prabu Dhandapani, Kaveri Krishnasamy, Satish Srinivas Kitambi

Open access · goldAbstract read
In one paragraph

Article in Journal of global infectious diseases. 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 45% 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.

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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

10 authors at 2 institutions in 1 country.

Srinivasan SivasubramanianDepartment of Virology, State Viral Research and Diagnostic Laboratory (VRDL), King Institute of Preventive Medicine and Research, Chennai, Tamil Nadu, India.
Vidya GopalanDepartment of Virology, State Viral Research and Diagnostic Laboratory (VRDL), King Institute of Preventive Medicine and Research, Chennai, Tamil Nadu, India.
Kiruba RameshDepartment of Virology, State Viral Research and Diagnostic Laboratory (VRDL), King Institute of Preventive Medicine and Research, Chennai, Tamil Nadu, India.
Padmapriya PadmanabhanDepartment of Virology, State Viral Research and Diagnostic Laboratory (VRDL), King Institute of Preventive Medicine and Research, Chennai, Tamil Nadu, India.
Kiruthiga MoneDepartment of Virology, State Viral Research and Diagnostic Laboratory (VRDL), King Institute of Preventive Medicine and Research, Chennai, Tamil Nadu, India.
Karthikeyan GovindanDepartment of Virology, State Viral Research and Diagnostic Laboratory (VRDL), King Institute of Preventive Medicine and Research, Chennai, Tamil Nadu, India.
Selvakumar VelladuraiDepartment of Virology, State Viral Research and Diagnostic Laboratory (VRDL), King Institute of Preventive Medicine and Research, Chennai, Tamil Nadu, India.
Prabu DhandapaniDepartment of Microbiology, Dr. ALM Post Graduate Institute of Basic Medical Sciences, University of Madras, Chennai, Tamil Nadu, India.
Kaveri KrishnasamyDepartment of Virology, State Viral Research and Diagnostic Laboratory (VRDL), King Institute of Preventive Medicine and Research, Chennai, Tamil Nadu, India.
Satish Srinivas KitambiDepartment of Translational Sciences, Institute for Healthcare Education and Translational Sciences, Hyderabad, Telengana, India.
King Institute of Preventive Medicine and Research · INUniversity of Madras · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic is associated with high morbidity and mortality, with the emergence of numerous variants. The dynamics of SARS-CoV-2 with respect to clade distribution is uneven, unpredictable and fast changing.

methodsRetrieving the complete genomes of SARS-CoV-2 from India and subjecting them to analysis on phylogenetic clade diversity, Spike (S) protein mutations and their functional consequences such as immune escape features and impact on infectivity. Whole genome of SARS-CoV-2 isolates (

resultsNotable clade dynamicity is observed indicating the emergence of diverse SARS-CoV-2 variants across the country. GR clade is predominant over the other clades and the distribution pattern of clades is uneven. D614G is the commonest and predominant mutation found among the S-protein followed by L54F. Mutation score prediction analyses reveal that there are several mutations in S-protein including the RBD and NTD regions that can influence the virulence of virus. Besides, mutations having immune escape features as well as impacting the immunogenicity and virulence through changes in the glycosylation patterns are identified.

conclusionsThe study has revealed emergence of variants with shifting of clade dynamics within a year in India. It is shown uneven distribution of clades across the nation requiring timely deposition of SARS-CoV-2 sequences. Functional evaluation of mutations in S-protein reveals their significance in virulence, immune escape features and disease severity besides impacting therapeutics and prophylaxis.

Indexed as

CladeCOVID-19IndiamutationsphylogenySARS-CoV-2spike protein

Identifiers

PMID35017872
PMCPMC8697821
OpenAlexW3215961329

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.