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The SARS-CoV-2 differential genomic adaptation in response to varying UVindex reveals potential genomic resources for better COVID-19 diagnosis and prevention.
Iqbal, Naveed; Rafiq, Muhammad; Tareen, Sanaullah; Ahmad, Maqsood; Nawaz, Faheem; Khan, Sumair; Riaz, Rida; Yang, Ting; Fatima, Ambrin; Jamal, Muhsin; Mansoor, Shahid; Liu, Xin; Ahmed, Nazeer.
  • Iqbal N; Faculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
  • Rafiq M; Faculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
  • Masooma; Faculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
  • Tareen S; Faculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
  • Ahmad M; Faculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
  • Nawaz F; Faculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
  • Khan S; Faculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
  • Riaz R; Department of Microbiology, Quaid i Azam University, Islamabad, Pakistan.
  • Yang T; Beijing Genomic Institute (BGI), Shenzhen, China.
  • Fatima A; Department of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan.
  • Jamal M; Department of Microbiology, Abdul Wali Khan University Mardan, Mardan, Pakistan.
  • Mansoor S; Agriculture Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Faisalabad, Pakistan.
  • Liu X; Beijing Genomic Institute (BGI), Shenzhen, China.
  • Ahmed N; Faculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
Front Microbiol ; 13: 922393, 2022.
Article in English | MEDLINE | ID: covidwho-2065588
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study Topics: Vaccines / Variants Language: English Journal: Front Microbiol Year: 2022 Document Type: Article Affiliation country: Fmicb.2022.922393

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study Topics: Vaccines / Variants Language: English Journal: Front Microbiol Year: 2022 Document Type: Article Affiliation country: Fmicb.2022.922393