Evidence map›Paper›PMID 34835044›Full record

ArticleViruses2021

Circulation and Evolution of SARS-CoV-2 in India: Let the Data Speak.

Sanket Limaye, Sunitha M Kasibhatla, Mukund Ramtirthkar, Meenal Kinikar, Mohan M Kale, Urmila Kulkarni-Kale

Abstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

6 authors.

Sanket LimayeBioinformatics Centre, Savitribai Phule Pune University (Formerly University of Pune), Pune 411007, India.ORCID 0000-0002-0548-787X
Sunitha M KasibhatlaBioinformatics Centre, Savitribai Phule Pune University (Formerly University of Pune), Pune 411007, India.
Mukund RamtirthkarDepartment of Statistics, Savitribai Phule Pune University (Formerly University of Pune), Pune 411007, India.
Meenal KinikarBioinformatics Centre, Savitribai Phule Pune University (Formerly University of Pune), Pune 411007, India.
Mohan M KaleDepartment of Statistics, Savitribai Phule Pune University (Formerly University of Pune), Pune 411007, India.
Urmila Kulkarni-KaleBioinformatics Centre, Savitribai Phule Pune University (Formerly University of Pune), Pune 411007, India.ORCID 0000-0002-1168-2479

Funding

Department of Biotechnology Not available
6 · The paper itself

Abstract

The COVID-19 pandemic is a global challenge that impacted 200+ countries. India ranks in the second and third positions in terms of number of reported cases and deaths. Being a populous country with densely packed cities, SARS-CoV-2 spread exponentially. India sequenced ≈0.14% isolates from confirmed cases for pandemic surveillance and contributed ≈1.58% of complete genomes sequenced globally. This study was designed to map the circulating lineage diversity and to understand the evolution of SARS-CoV-2 in India using comparative genomics and population genetics approaches. Despite varied sequencing coverage across Indian States and Union Territories, isolates belonging to variants of concern (VoC) and variants of interest (VoI) circulated, persisted, and diversified during the first seventeen months of the pandemic. Delta and Kappa lineages emerged in India and spread globally. The phylogenetic tree shows lineage-wise monophyletic clusters of VoCs/VoIs and diversified tree topologies for non-VoC/VoI lineages designated as 'Others' in this study. Evolutionary dynamics analyses substantiate a lack of spatio-temporal clustering, which is indicative of multiple global and local introductions. Sites under positive selection and significant variations in spike protein corroborate with the constellation of mutations to be monitored for VoC/VoI as well as substitutions that are characteristic of functions with implications in virus-host interactions, differential glycosylation, immune evasion, and escape from neutralization.

Indexed as

COVID-19Evolution, MolecularGenome, ViralHumansIndiaModels, MolecularMutationPhylogenyProtein ConformationProtein DomainsSARS-CoV-2Selection, GeneticSpike Glycoprotein, CoronavirusWhole Genome SequencingSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19evolutionary dynamicsIndialineage diversityphylogenySARS-CoV-2spikevariant of concernvariant of interestvirus bioinformatics

Identifiers

PMID34835044
PMCPMC8619538

What OpenQuestion holds

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LicenceCC BY
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.