Evidence map›Paper›PMID 35790838›Full record

ArticleScientific reports2022

Whole-genome analysis and mutation pattern of SARS-CoV-2 during first and second wave outbreak in Gwangju, Republic of Korea.

Shilpa Chatterjee, Choon-Mee Kim, You Mi Lee, Jun-Won Seo, Da Young Kim, Na Ra Yun, Dong-Min Kim

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
0.9field-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

5 citing papers in PubMed, 9 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

7 authors at 1 institution in 1 country.

Shilpa Chatterjee *Department of Biomedical Science, College of Medicine, Chosun University, Gwangju, Republic of Korea.
Choon-Mee Kim *Premedical Science, College of Medicine, Chosun University, Gwangju, Republic of Korea.
You Mi LeeDepartment of Internal Medicine, College of Medicine, Chosun University, 588 Seosuk-dong, Dong-gu, Gwangju, 501-717, Republic of Korea.
Jun-Won SeoDepartment of Internal Medicine, College of Medicine, Chosun University, 588 Seosuk-dong, Dong-gu, Gwangju, 501-717, Republic of Korea.
Da Young KimDepartment of Internal Medicine, College of Medicine, Chosun University, 588 Seosuk-dong, Dong-gu, Gwangju, 501-717, Republic of Korea.
Na Ra YunDepartment of Internal Medicine, College of Medicine, Chosun University, 588 Seosuk-dong, Dong-gu, Gwangju, 501-717, Republic of Korea.
Dong-Min KimDepartment of Internal Medicine, College of Medicine, Chosun University, 588 Seosuk-dong, Dong-gu, Gwangju, 501-717, Republic of Korea. drongkim@chosun.ac.kr.
Chosun University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the specific genomic features and mutation pattern, whole and near-complete SARS-CoV-2 genome sequences were analyzed. Clinical samples were collected from 18 COVID-19-positive patients and subjected to nucleic acid purification. Cell culture was performed to extract various SARS-CoV-2 isolates. Whole-genome analysis was performed using next-generation sequencing, and phylogenetic analyses were conducted to determine genetic diversity of the various SARS-CoV-2 isolates. The next-generation sequencing data identified 8 protein-coding regions with 17 mutated proteins. We identified 51 missense point mutations and deletions in 5' and 3' untranslated regions. The phylogenetic analysis revealed that V and GH are the dominant clades of SARS-CoV-2 circulating in the Gwangju region of South Korea. Moreover, statistical analysis confirmed a significant difference between viral load (P < 0.001) and number of mutations (P < 0.0001) in 2 mutually exclusive SARS-CoV-2 clades which indicates frequent genomic alterations in SARS-CoV-2 in patients with high viral load. Our results provide an in-depth analysis of SARS-COV-2 whole genome which we believe, can shed light in the understanding of SARS-COV-2 pathogenesis and mutation pattern which can aid in the development of prevention methods as well as future research into the pathogenesis of SARS-CoV-2 and therapeutic development.

Indexed as

COVID-19SARS-CoV-2Disease OutbreaksGenome, ViralHumansMutationPhylogeny

Identifiers

PMID35790838
PMCPMC9255444
OpenAlexW4283816070

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.