Unit of Clinical Laboratory Science, University Campus Bio-Medico of Rome, Rome, Italy.
Unit of Medical Statistics and Molecular Epidemiology, University Campus Bio-Medico of Rome, Rome, Italy.
J Med Virol. 2020 Jun;92(6):584-588. doi: 10.1002/jmv.25719. Epub 2020 Feb 28.
Last December 2019, a new virus, named novel Coronavirus (COVID-2019) causing many cases of severe pneumonia was reported in Wuhan, China. The virus knowledge is limited and especially about COVID-2019 pathogenesis. The Open Reading Frame 1ab (ORF1ab) of COVID-2019 has been analyzed to evidence the presence of mutation caused by selective pressure on the virus. For selective pressure analysis fast-unconstrained Bayesian approximation (FUBAR) was used. Homology modelling has been performed by SwissModel and HHPred servers. The presence of transmembrane helical segments in Coronavirus ORF1ab non structural protein 2 (nsp2) and nsp3 was tested by TMHMM, MEMSAT, and MEMPACK tools. Three-dimensional structures have been analyzed and displayed using PyMOL. FUBAR analysis revealed the presence of potential sites under positive selective pressure (P < .05). Position 723 in the COVID-2019 has a serine instead a glycine residue, while at aminoacidic position 1010 a proline instead an isoleucine. Significant (P < .05) pervasive negative selection in 2416 sites (55%) was found. The positive selective pressure could account for some clinical features of this virus compared with severe acute respiratory syndrome (SARS) and Bat SARS-like CoV. The stabilizing mutation falling in the endosome-associated-protein-like domain of the nsp2 protein could account for COVID-2019 high ability of contagious, while the destabilizing mutation in nsp3 proteins could suggest a potential mechanism differentiating COVID-2019 from SARS. These data could be helpful for further investigation aimed to identify potential therapeutic targets or vaccine strategy, especially in the actual moment when the epidemic is ongoing and the scientific community is trying to enrich knowledge about this new viral pathogen.
2019 年 12 月,在中国武汉发现了一种新型病毒,命名为新型冠状病毒(COVID-19),该病毒可导致许多严重肺炎病例。目前对该病毒的了解有限,特别是关于 COVID-19 的发病机制。对 COVID-19 的开放阅读框 1ab(ORF1ab)进行了分析,以证明病毒选择性压力下突变的存在。为了进行选择性压力分析,使用了快速无约束贝叶斯近似(FUBAR)。同源建模由 SwissModel 和 HHPred 服务器完成。使用 TMHMM、MEMSAT 和 MEMPACK 工具测试冠状病毒 ORF1ab 非结构蛋白 2(nsp2)和 nsp3 中的跨膜螺旋片段。使用 PyMOL 分析和显示三维结构。FUBAR 分析显示存在正选择压力下的潜在位点(P <.05)。COVID-19 的位置 723 有一个丝氨酸取代了甘氨酸残基,而在位置 1010 脯氨酸取代了异亮氨酸。在 2416 个位点(55%)发现了显著的(P <.05)普遍负选择。正选择压力可能解释了该病毒与严重急性呼吸综合征(SARS)和蝙蝠 SARS 样 CoV 相比的一些临床特征。nsp2 蛋白的内体相关蛋白样结构域中的稳定突变可能解释了 COVID-19 的高传染性,而 nsp3 蛋白中的不稳定突变可能暗示了 COVID-19 与 SARS 的潜在区别机制。这些数据可能有助于进一步研究,旨在确定潜在的治疗靶点或疫苗策略,特别是在当前疫情持续、科学界努力丰富对这种新型病毒病原体的认识的时候。