Evidence map›Paper›PMID 34465019›Full record

ArticlemBio2021

Evolution, Mode of Transmission, and Mutational Landscape of Newly Emerging SARS-CoV-2 Variants.

Chiranjib Chakraborty, Ashish Ranjan Sharma, Manojit Bhattacharya, Govindasamy Agoramoorthy, Sang-Soo Lee

Abstract read
In one paragraph

Article in mBio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
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  4. Review
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  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. The Mutational Landscape of SARS-CoV-2.International journal of molecular sciences · 2023
    Article
  13. Review
  14. Divalent siRNAs are bioavailable in the lung and efficiently block SARS-CoV-2 infection.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Origin and evolution of SARS-CoV-2.European physical journal plus · 2023
    Review
  20. Review
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

5 authors.

Chiranjib Chakraborty *Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal, India.
Ashish Ranjan Sharma *Institute for Skeletal Aging & Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, Gangwon-do, Republic of Korea.
Manojit BhattacharyaDepartment of Zoology, Fakir Mohan Universitygrid.444315.3, Balasore, Odisha, India.
Govindasamy AgoramoorthyCollege of Pharmacy and Health Care, Tajen Universitygrid.412902.c, Yanpu, Taiwan.
Sang-Soo LeeInstitute for Skeletal Aging & Orthopedic Surgery, Hallym University-Chuncheon Sacred Heart Hospital, Chuncheon-si, Gangwon-do, Republic of Korea.

Funding

National Research Foundation of Korea (NRF) NRF - 2020R1C1C1008694
6 · The paper itself

Abstract

The recent emergence of multiple variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a significant concern for public health worldwide. New variants have been classified either as variants of concern (VOCs) or variants of interest (VOIs) by the CDC (USA) and WHO. The VOCs include lineages such as B.1.1.7 (20I/501Y.V1 variant), P.1 (20J/501Y.V3 variant), B.1.351 (20H/501Y.V2 variant), and B.1.617.2. In contrast, the VOI category includes B.1.525, B.1.526, P.2, and B.1.427/B.1.429. The WHO provided the alert for last two variants (P.2 and B.1.427/B.1.429) and labeled them for further monitoring. As per the WHO, these variants can be reclassified due to their status at a particular time. At the same time, the CDC (USA) has marked these two variants as VOIs up through today. This article analyzes the evolutionary patterns of all these emerging variants, as well as their geographical distributions and transmission patterns, including the circulating frequency, entropy diversity, and mutational event diversity throughout the genomes of all SARS-CoV-2 lineages. The transmission pattern was observed highest in the B.1.1.7 lineage. Our frequency evaluation found that this lineage achieved 100% frequency in early October 2020. We also critically evaluated the above emerging variants mutational landscape and significant spike protein mutations (E484K, K417T/N, N501Y, and D614G) impacting public health. Finally, the effectiveness of vaccines against newly SARS-CoV-2 variants was also analyzed.

Indexed as

Biological EvolutionCOVID-19COVID-19 VaccinesEvolution, MolecularGenome, ViralHumansPhylogenyPublic HealthSARS-CoV-2Spike Glycoprotein, CoronavirusCOVID-19 VaccinesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2effect on vaccinesemerging variantsmutational landscapetransmission pattern

Identifiers

PMID34465019
PMCPMC8406297

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LicenceCC BY
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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.