Liu Si-Qing, Deng Cheng-Lin, Yuan Zhi-Ming, Rayner Simon, Zhang Bo
Key Laboratory of Etiology and Biosafety for Emerging and Highly Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; Key Laboratory of Agricultural and Environmental Microbiology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China.
Key Laboratory of Agricultural and Environmental Microbiology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China.
Infect Genet Evol. 2015 Jun;32:51-9. doi: 10.1016/j.meegid.2015.02.024. Epub 2015 Mar 4.
The current Ebola virus disease (EVD) epidemic has killed more than all previous Ebola outbreaks combined and, even as efforts appear to be bringing the outbreak under control, the threat of reemergence remains. The availability of new whole-genome sequences from West Africa in 2014 outbreak, together with those from the earlier outbreaks, provide an opportunity to investigate the genetic characteristics, the epidemiological dynamics and the evolutionary history for Zaire ebolavirus (ZEBOV). To investigate the evolutionary properties of ZEBOV in this outbreak, we examined amino acid mutations, positive selection, and evolutionary rates on the basis of 123 ZEBOV genome sequences. The estimated phylogenetic relationships within ZEBOV revealed that viral sequences from the same period or location formed a distinct cluster. The West Africa viruses probably derived from Middle Africa, consistent with results from previous studies. Analysis of the seven protein regions of ZEBOV revealed evidence of positive selection acting on the GP and L genes. Interestingly, all putatively positive-selected sites identified in the GP are located within the mucin-like domain of the solved structure of the protein, suggesting a possible role in the immune evasion properties of ZEBOV. Compared with earlier outbreaks, the evolutionary rate of GP gene was estimated to significantly accelerate in the 2014 outbreak, suggesting that more ZEBOV variants are generated for human to human transmission during this sweeping epidemic. However, a more balanced sample set and next generation sequencing datasets would help achieve a clearer understanding at the genetic level of how the virus is evolving and adapting to new conditions.
当前的埃博拉病毒病(EVD)疫情造成的死亡人数超过了以往所有埃博拉疫情死亡人数的总和,即便防控措施似乎已使疫情得到控制,但病毒卷土重来的威胁依然存在。2014年西非疫情中产生的新全基因组序列,连同早期疫情的序列,为研究扎伊尔埃博拉病毒(ZEBOV)的遗传特征、流行病学动态及进化史提供了契机。为研究此次疫情中ZEBOV的进化特性,我们基于123条ZEBOV基因组序列,对氨基酸突变、正选择及进化速率进行了研究。ZEBOV内部的系统发育关系估计显示,同一时期或同一地点的病毒序列形成了一个独特的簇。西非病毒可能源自中非,这与先前研究结果一致。对ZEBOV的七个蛋白区域分析显示,有证据表明正选择作用于GP和L基因。有趣的是,在GP中鉴定出的所有推定正选择位点均位于该蛋白已解析结构的黏蛋白样结构域内,这表明其可能在ZEBOV的免疫逃逸特性中发挥作用。与早期疫情相比,2014年疫情期间GP基因的进化速率估计显著加快,这表明在此次大规模疫情期间,有更多ZEBOV变体产生以实现人际传播。然而,更均衡的样本集和新一代测序数据集将有助于在基因层面更清晰地了解病毒是如何进化及适应新环境的。