Evidence map›Paper›PMID 36016784›Full record

ArticleFrontiers in microbiology2022

The SARS-CoV-2 differential genomic adaptation in response to varying UVindex reveals potential genomic resources for better COVID-19 diagnosis and prevention.

Naveed Iqbal, Muhammad Rafiq, Masooma, Sanaullah Tareen, Maqsood Ahmad, Faheem Nawaz, Sumair Khan, Rida Riaz, Ting Yang, Ambrin Fatima and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Viruses · 2024
    Review
  3. Observational
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

14 authors at 6 institutions in 2 countries.

Naveed IqbalFaculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
Muhammad RafiqFaculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
MasoomaFaculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
Sanaullah TareenFaculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
Maqsood AhmadFaculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
Faheem NawazFaculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
Sumair KhanFaculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
Rida RiazDepartment of Microbiology, Quaid i Azam University, Islamabad, Pakistan.
Ting YangBeijing Genomic Institute (BGI), Shenzhen, China.
Ambrin FatimaDepartment of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan.
Muhsin JamalDepartment of Microbiology, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Shahid MansoorAgriculture Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan.
Xin LiuBeijing Genomic Institute (BGI), Shenzhen, China.
Nazeer AhmedFaculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
Balochistan University of Information Technology, Engineering and Management Sciences · PKBGI Group (China) · CNAbdul Wali Khan University Mardan · PKAga Khan University · PKNational Institute for Biotechnology and Genetic Engineering · PKQuaid-i-Azam University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) has been a pandemic disease reported in almost every country and causes life-threatening, severe respiratory symptoms. Recent studies showed that various environmental selection pressures challenge the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infectivity and, in response, the virus engenders new mutations, leading to the emergence of more virulent strains of WHO concern. Advance prediction of the forthcoming virulent SARS-CoV-2 strains in response to the principal environmental selection pressures like temperature and solar UV radiation is indispensable to overcome COVID-19. To discover the UV-solar radiation-driven genomic adaption of SARS-CoV-2, a curated dataset of 2,500 full-grade genomes from five different UVindex regions (25 countries) was subjected to in-depth downstream genome-wide analysis. The recurrent variants that best respond to UV-solar radiations were extracted and extensively annotated to determine their possible effects and impacts on gene functions. This study revealed 515 recurrent single nucleotide variants (rcntSNVs) as SARS-CoV-2 genomic responses to UV-solar radiation, of which 380 were found to be distinct. For all discovered rcntSNVs, 596 functional effects (rcntEffs) were detected, containing 290 missense, 194 synonymous, 81 regulatory, and 31 in the intergenic region. The highest counts of missense rcntSNVs in spike (27) and nucleocapsid (26) genes explain the SARS-CoV-2 genomic adjustment to escape immunity and prevent UV-induced DNA damage, respectively. Among all, the most commonly observed rcntEffs were four missenses (RdRp-Pro327Leu, N-Arg203Lys, N-Gly204Arg, and Spike-Asp614Gly) and one synonymous (ORF1ab-Phe924Phe) functional effects. The highest number of rcntSNVs found distinct and were uniquely attributed to the specific UVindex regions, proposing solar-UV radiation as one of the driving forces for SARS-CoV-2 differential genomic adaptation. The phylogenetic relationship indicated the high UVindex region populating SARS-CoV-2 as the recent progenitor of all included samples. Altogether, these results provide baseline genomic data that may need to be included for preparing UVindex region-specific future diagnostic and vaccine formulations.

Indexed as

comparative genomicsCOVID diagnosisgenomic adaptationSARS COVID-19UV-solar radiation

Identifiers

PMID36016784
PMCPMC9396647
OpenAlexW4289836872

What OpenQuestion holds

Textmetadata
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.