Suppr超能文献

2014 年西非的埃博拉病毒疫情并没有表明该病毒出现了快速进化或适应人类的迹象。

The 2014 Ebola virus outbreak in West Africa highlights no evidence of rapid evolution or adaptation to humans.

机构信息

State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, Zhejiang, China.

出版信息

Sci Rep. 2016 Oct 21;6:35822. doi: 10.1038/srep35822.

Abstract

Following its immergence in December 2013, the recent Zaire Ebola virus (EBOV) outbreak in West Africa has spread and persisted for more than two years, making it the largest EBOV epidemic in both scale and geographical region to date. In this study, a total of 726 glycoprotein (GP) gene sequences of the EBOV full-length genome obtained from West Africa from the 2014 outbreak, combined with 30 from earlier outbreaks between 1976 and 2008 were used to investigate the genetic divergence, evolutionary history, population dynamics, and selection pressure of EBOV among distinct epidemic waves. Results from our dataset showed that no non-synonymous substitutions occurred on the GP gene coding sequences of EBOV that were likely to have affected protein structure or function in any way. Furthermore, the significantly different dN/dS ratios observed between the 2014 West African outbreak and earlier outbreaks were more likely due to the confounding presence of segregating polymorphisms. Our results highlight no robust evidence that the 2014 EBOV outbreak is fast-evolving and adapting to humans. Therefore, the unprecedented nature of the 2014 EBOV outbreak might be more likely related to non-virological elements, such as environmental and sociological factors.

摘要

继 2013 年 12 月首次出现以来,近期在西非爆发的扎伊尔埃博拉病毒(EBOV)疫情已持续两年多,成为迄今为止规模和地域范围最大的 EBOV 疫情。在本研究中,共对来自西非 2014 年疫情的 726 株全长 EBOV 糖蛋白(GP)基因序列进行了研究,同时还对 1976 年至 2008 年期间发生的 30 次疫情中的 30 株 EBOV 进行了研究,以调查不同流行波次中 EBOV 的遗传分化、进化史、种群动态和选择压力。本数据集结果表明,EBOV 的 GP 基因编码序列上没有发生可能以任何方式影响蛋白质结构或功能的非同义取代。此外,在西非 2014 年疫情和早期疫情之间观察到的明显不同的 dN/dS 比值更可能是由于存在分离的多态性造成的混杂。我们的研究结果并未有力地表明 2014 年 EBOV 疫情正在快速进化并适应人类。因此,2014 年 EBOV 疫情的空前性质可能更与非病毒学因素有关,例如环境和社会学因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e8f/5073338/183524793a25/srep35822-f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验