大规模系统发生基因组学为逆转录病毒-宿主进化提供了新视角。
Broad-scale phylogenomics provides insights into retrovirus-host evolution.
机构信息
Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala Biomedical Centre, SE-75123 Uppsala, Sweden.
出版信息
Proc Natl Acad Sci U S A. 2013 Dec 10;110(50):20146-51. doi: 10.1073/pnas.1315419110. Epub 2013 Nov 25.
Genomic data provide an excellent resource to improve understanding of retrovirus evolution and the complex relationships among viruses and their hosts. In conjunction with broad-scale in silico screening of vertebrate genomes, this resource offers an opportunity to complement data on the evolution and frequency of past retroviral spread and so evaluate future risks and limitations for horizontal transmission between different host species. Here, we develop a methodology for extracting phylogenetic signal from large endogenous retrovirus (ERV) datasets by collapsing information to facilitate broad-scale phylogenomics across a wide sample of hosts. Starting with nearly 90,000 ERVs from 60 vertebrate host genomes, we construct phylogenetic hypotheses and draw inferences regarding the designation, host distribution, origin, and transmission of the Gammaretrovirus genus and associated class I ERVs. Our results uncover remarkable depths in retroviral sequence diversity, supported within a phylogenetic context. This finding suggests that current infectious exogenous retrovirus diversity may be underestimated, adding credence to the possibility that many additional exogenous retroviruses may remain to be discovered in vertebrate taxa. We demonstrate a history of frequent horizontal interorder transmissions from a rodent reservoir and suggest that rats may have acted as important overlooked facilitators of gammaretrovirus spread across diverse mammalian hosts. Together, these results demonstrate the promise of the methodology used here to analyze large ERV datasets and improve understanding of retroviral evolution and diversity for utilization in wider applications.
基因组数据为深入了解逆转录病毒的进化以及病毒与其宿主之间的复杂关系提供了极好的资源。结合对脊椎动物基因组的大规模计算机筛选,这一资源为补充过去逆转录病毒传播的进化和频率数据提供了机会,从而评估不同宿主物种之间水平传播的未来风险和限制。在这里,我们开发了一种从大型内源性逆转录病毒(ERV)数据集提取系统发育信号的方法,通过信息折叠来促进广泛宿主的大规模系统发育基因组学研究。从 60 个脊椎动物宿主基因组中的近 90,000 个 ERV 开始,我们构建了关于 Gammaretrovirus 属及其相关的 I 类 ERV 的分类、宿主分布、起源和传播的系统发育假设和推断。我们的结果揭示了逆转录病毒序列多样性的显著深度,这在系统发育背景下得到了支持。这一发现表明,目前传染性外源性逆转录病毒的多样性可能被低估了,这增加了许多额外的外源性逆转录病毒可能仍存在于脊椎动物分类群中的可能性。我们展示了从啮齿动物库中频繁的横向跨目传播的历史,并表明大鼠可能是伽马逆转录病毒在不同哺乳动物宿主中广泛传播的重要被忽视的促进因素。总之,这些结果表明,这里使用的方法分析大型 ERV 数据集并提高对逆转录病毒进化和多样性的理解,可在更广泛的应用中得到利用。