Evidence map›Paper›PMID 36560768›Full record

ArticleViruses2022

Bayesian Molecular Dating Analyses Combined with Mutational Profiling Suggest an Independent Origin and Evolution of SARS-CoV-2 Omicron BA.1 and BA.2 Sub-Lineages.

Naveen Kumar, Rahul Kaushik, Ashutosh Singh, Vladimir N Uversky, Kam Y J Zhang, Upasana Sahu, Sandeep Bhatia, Aniket Sanyal

Abstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Artificial intelligence directed computational protein design: lessons from COVID-19 for pandemic-ready vaccines and antibody therapeutics.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2026
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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

8 authors.

Naveen KumarDiagnostics & Vaccines Group, ICAR-National Institute of High Security Animal Diseases, Bhopal 462022, India.ORCID 0000-0002-3326-5465
Rahul KaushikBiotechnology Research Center, Technology Innovation Institute, Abu Dhabi P.O. Box 3692, United Arab Emirates.ORCID 0000-0002-6489-6913
Ashutosh SinghDiagnostics & Vaccines Group, ICAR-National Institute of High Security Animal Diseases, Bhopal 462022, India.
Vladimir N UverskyDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.ORCID 0000-0002-4037-5857
Kam Y J ZhangCenter for Biosystems Dynamics Research, Laboratory for Structural Bioinformatics, Yokohama 230-0045, Japan.ORCID 0000-0002-9282-8045
Upasana SahuDiagnostics & Vaccines Group, ICAR-National Institute of High Security Animal Diseases, Bhopal 462022, India.
Sandeep BhatiaDiagnostics & Vaccines Group, ICAR-National Institute of High Security Animal Diseases, Bhopal 462022, India.
Aniket SanyalDiagnostics & Vaccines Group, ICAR-National Institute of High Security Animal Diseases, Bhopal 462022, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing evolution of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) has resulted in the recent emergence of a highly divergent variant of concern (VOC) defined as Omicron or B.1.1.529. This VOC is of particular concern because it has the potential to evade most therapeutic antibodies and has undergone a sustained genetic evolution, resulting in the emergence of five distinct sub-lineages. However, the evolutionary dynamics of the initially identified Omicron BA.1 and BA.2 sub-lineages remain poorly understood. Herein, we combined Bayesian phylogenetic analysis, mutational profiling, and selection pressure analysis to track the virus's genetic changes that drive the early evolutionary dynamics of the Omicron. Based on the Omicron dataset chosen for the improved temporal signals and sampled globally between November 2021 and January 2022, the most recent common ancestor (tMRCA) and substitution rates for BA.1 were estimated to be that of 18 September 2021 (95% highest posterior density (HPD), 4 August-22 October 2021) and 1.435 × 10

Indexed as

COVID-19SARS-CoV-2Bayes TheoremHumansMutationPhylogenySpike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19evolutionary ratemutational profilingSARS-CoV-2 Omicronselection pressuretMRCA

Identifiers

PMID36560768
PMCPMC9788409

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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.