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
Faculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, Pakistan.
Department of Microbiology, Quaid i Azam University, Islamabad, Pakistan.
Front Microbiol. 2022 Aug 4;13:922393. doi: 10.3389/fmicb.2022.922393. eCollection 2022.
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.
2019冠状病毒病(COVID-19)已成为一种在几乎每个国家都有报告的大流行病,并引发危及生命的严重呼吸道症状。最近的研究表明,各种环境选择压力对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的传染性构成挑战,作为应对,该病毒产生新的突变,导致出现世界卫生组织关注的更具毒性的毒株。提前预测即将出现的、对温度和太阳紫外线辐射等主要环境选择压力作出反应的毒性更强的SARS-CoV-2毒株,对于战胜COVID-19至关重要。为了发现太阳紫外线辐射驱动的SARS-CoV-2基因组适应性,对来自五个不同紫外线指数区域(25个国家)的2500个完整基因组的精选数据集进行了深入的全基因组下游分析。提取了对太阳紫外线辐射反应最佳的反复出现的变异体,并进行了广泛注释,以确定它们对基因功能可能产生的影响。这项研究揭示了515个反复出现的单核苷酸变异体(rcntSNVs)作为SARS-CoV-2对太阳紫外线辐射的基因组反应,其中380个被发现是不同的。对于所有发现的rcntSNVs,检测到596种功能效应(rcntEffs),包括290个错义突变、194个同义突变、81个调控突变和31个基因间区域突变。刺突蛋白(27个)和核衣壳蛋白(26个)基因中错义rcntSNVs数量最多,分别解释了SARS-CoV-2为逃避免疫和防止紫外线诱导的DNA损伤而进行的基因组调整。其中,最常观察到的rcntEffs是四种错义突变(RdRp-Pro327Leu、N-Arg203Lys、N-Gly204Arg和Spike-Asp614Gly)和一种同义突变(ORF1ab-Phe924Phe)功能效应。发现数量最多的rcntSNVs是不同的,并且独特地归因于特定的紫外线指数区域,这表明太阳紫外线辐射是SARS-CoV-2基因组差异适应性的驱动因素之一。系统发育关系表明,高紫外线指数区域的SARS-CoV-2是所有纳入样本的近期祖先。总之,这些结果提供了基线基因组数据,可能需要将其纳入未来针对紫外线指数区域的诊断和疫苗制剂的准备工作中。