Sallam Malik, Ababneh Nidaa A, Dababseh Deema, Bakri Faris G, Mahafzah Azmi
Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, The University of Jordan, Amman, Jordan.
Department of Clinical Laboratories and Forensic Medicine, Jordan University Hospital, Amman, Jordan.
Heliyon. 2021 Jan;7(1):e06035. doi: 10.1016/j.heliyon.2021.e06035. Epub 2021 Jan 20.
Phylogeny construction can help to reveal evolutionary relatedness among molecular sequences. The spike () gene of SARS-CoV-2 is the subject of an immune selective pressure which increases the variability in such region. This study aimed to identify mutations in the gene among SARS-CoV-2 sequences collected in the Middle East and North Africa (MENA), focusing on the D614G mutation, that has a presumed fitness advantage. Another aim was to analyze the gene sequences phylogenetically.
The SARS-CoV-2 gene sequences collected in the MENA were retrieved from the GISAID public database, together with its metadata. Mutation analysis was conducted in Molecular Evolutionary Genetics Analysis software. Phylogenetic analysis was done using maximum likelihood (ML) and Bayesian methods.
A total of 553 MENA sequences were analyzed and the most frequent gene mutations included: D614G = 435, Q677H = 8, and V6F = 5. A significant increase in the proportion of D614G was noticed from (63.0%) in February 2020, to (98.5%) in June 2020 (p < 0.001). Two large phylogenetic clusters were identified via ML analysis, which showed an evidence of inter-country mixing of sequences, which dated back to February 8, 2020 and March 15, 2020 (median estimates). The mean evolutionary rate for SARS-CoV-2 was about 6.5 × 10 substitutions/site/year based on large clusters' Bayesian analyses.
The D614G mutation appeared to be taking over the COVID-19 infections in the MENA. Bayesian analysis suggested that SARS-CoV-2 might have been circulating in MENA earlier than previously reported.
系统发育构建有助于揭示分子序列之间的进化关系。严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的刺突(S)基因是免疫选择压力的作用对象,这增加了该区域的变异性。本研究旨在确定在中东和北非(MENA)收集的SARS-CoV-2序列中S基因的突变情况,重点关注具有假定适应性优势的D614G突变。另一个目的是对S基因序列进行系统发育分析。
从全球共享流感数据倡议组织(GISAID)公共数据库中检索在MENA收集的SARS-CoV-2 S基因序列及其元数据。在分子进化遗传学分析软件中进行突变分析。使用最大似然法(ML)和贝叶斯方法进行系统发育分析。
共分析了553条MENA序列,最常见的S基因突变包括:D614G = 435、Q677H = 8和V6F = 5。注意到D614G的比例从2020年2月的(63.0%)显著增加到2020年6月的(98.5%)(p < 0.001)。通过ML分析确定了两个大的系统发育簇,显示出序列存在国家间混合的证据,其可追溯到2020年2月8日和2020年3月15日(中位数估计)。基于大簇的贝叶斯分析,SARS-CoV-2的平均进化速率约为6.5×10⁻⁴替换/位点/年。
D614G突变似乎正在主导MENA地区的新冠病毒感染。贝叶斯分析表明,SARS-CoV-2可能在MENA地区传播的时间比之前报道的更早。