Khailany Rozhgar A, Safdar Muhamad, Ozaslan Mehmet
Department of Biology, College of Science, University of Salahaddin-Erbil, Iraq.
Department of Breeding and Genetics, Cholistan University of Veterinary & Animal Sciences, Bahawalpur 63100, Pakistan.
Gene Rep. 2020 Jun;19:100682. doi: 10.1016/j.genrep.2020.100682. Epub 2020 Apr 16.
A new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) associated with human to human transmission and extreme human sickness has been as of late announced from the city of Wuhan in China. Our objectives were to mutation analysis between recently reported genomes at various times and locations and to characterize the genomic structure of SARS-CoV-2 using bioinformatics programs. Information on the variation of viruses is of considerable medical and biological impacts on the prevention, diagnosis, and therapy of infectious diseases. To understand the genomic structure and variations of the SARS-CoV-2. The study analyzed 95 SARS-CoV-2 complete genome sequences available in GenBank, National MicrobiologyData Center (NMDC) and NGDC Genome Warehouse from December-2019 until 05 of April-2020. The genomic signature analysis demonstrates that a strong association between the time of sample collection, location of sample and accumulation of genetic diversity. We found 116 mutations, the three most common mutations were 8782C>T in ORF1ab gene, 28144T>C in ORF8 gene and 29095C>T in the N gene. The mutations might affect the severity and spread of the SARS-CoV-2. The finding heavily supports an intense requirement for additional prompt, inclusive investigations that combine genomic detail, epidemiological information and graph records of the clinical features of patients with COVID-19.
一种与人际传播和严重人类疾病相关的新型严重急性呼吸综合征冠状病毒2（SARS-CoV-2）最近在中国武汉市被报道。我们的目标是对最近在不同时间和地点报道的基因组进行突变分析，并使用生物信息学程序来表征SARS-CoV-2的基因组结构。病毒变异信息对传染病的预防、诊断和治疗具有相当大的医学和生物学影响。为了了解SARS-CoV-2的基因组结构和变异情况。该研究分析了2019年12月至2020年4月5日期间在GenBank、国家微生物数据中心（NMDC）和国家基因组数据中心（NGDC）基因组库中可获得的95个SARS-CoV-2完整基因组序列。基因组特征分析表明，样本采集时间、样本位置与遗传多样性积累之间存在很强的关联。我们发现了116个突变，最常见的三个突变是ORF1ab基因中的8782C>T、ORF8基因中的28144T>C和N基因中的29095C>T。这些突变可能会影响SARS-CoV-2的严重程度和传播。这一发现有力地支持了迫切需要进行更多及时、全面的调查，这些调查要结合基因组细节、流行病学信息以及COVID-19患者临床特征的图表记录。
