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蜱传脑炎病毒亚型是通过快速的媒介转换而不是逐渐进化产生的。

Tick-borne encephalitis virus subtypes emerged through rapid vector switches rather than gradual evolution.

机构信息

Laboratory of Molecular Genetics, Department of Biology, Ural Federal University Lenin Avenue 51, Yekaterinburg, 620000, Russia.

出版信息

Ecol Evol. 2014 Nov;4(22):4307-16. doi: 10.1002/ece3.1301. Epub 2014 Oct 24.

Abstract

Tick-borne encephalitis is the most important human arthropod-borne virus disease in Europe and Russia, with an annual incidence of about 13 thousand people. Tick-borne encephalitis virus (TBEV) is distributed in the natural foci of forest and taiga zones of Eurasia, from the Pacific to the Atlantic coast. Currently, there are three mutually exclusive hypotheses about the origin and distribution of TBEV subtypes, although they are based on the same assumption of gradual evolution. Recently, we have described the structure of TBEV populations in terms of a clusteron approach, a clusteron being a structural unit of viral population [Kovalev and Mukhacheva (2013) Infect. Genet. Evol., 14, 22-28]. This approach allowed us to investigate questions of TBEV evolution in a new way and to propose a hypothesis of quantum evolution due to a vector switch. We also consider a possible mechanism for this switch occurring in interspecific hybrids of ticks. It is necessarily accompanied by a rapid accumulation of mutations in the virus genome, which is contrary to the generally accepted view of gradual evolution in assessing the ages of TBEV populations. The proposed hypothesis could explain and predict not only the formation of new subtypes, but also the emergence of new vector-borne viruses.

摘要

蜱传脑炎是欧洲和俄罗斯最重要的人虫媒病毒病,年发病率约为 1.3 万人。蜱传脑炎病毒(TBEV)分布在欧亚大陆森林和针叶林自然疫源地,从太平洋到大西洋海岸。目前,关于 TBEV 亚型的起源和分布有三个相互排斥的假说,尽管它们都是基于病毒逐渐进化的相同假设。最近,我们根据聚类群方法描述了 TBEV 群体的结构,聚类群是病毒群体的结构单元[Kovalev 和 Mukhacheva(2013)Infect. Genet. Evol.,14,22-28]。这种方法使我们能够以新的方式研究 TBEV 进化的问题,并提出由于媒介转换而导致量子进化的假说。我们还考虑了这种转换在蜱的种间杂种中发生的可能机制。它必然伴随着病毒基因组中突变的快速积累,这与评估 TBEV 群体年龄时普遍接受的逐渐进化观点相悖。所提出的假说不仅可以解释和预测新亚型的形成,还可以预测新的虫媒病毒的出现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2234/4267869/9443e610d42e/ece30004-4307-f1.jpg

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